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Andreas Stuhlmüller
I am a Ph.D. student in the Department of Brain and Cognitive Sciences at MIT. I work in Josh Tenenbaum's Computational Cognitive Science group and in Noah Goodman's Computation & Cognition lab at Stanford.
The question that drives my research is: How can we better solve our problems? Machines are potentially much better at answering hard questions if such questions can be posed formally. For example, given a formal model that describes how diseases cause symptoms and a formalized prior belief about disease rates, machines can reason precisely about what observed symptoms imply.
In its various aspects, this question touches on mathematics, computer science, psychology, and philosophy:
- What does a language look like that makes it easy to formalize our prior knowledge and that allows us to pose the questions we want to answer?
- Given a formal problem statement in such a language, what do algorithms look like that can efficiently find answers?
- How is knowledge structured and used in the human mind, and can this inform our approach to the first two questions?
- Any particular question derives from the more general question what should be done?. How can we understand more precisely what this question means?
Read more about my interests, publications and projects.
Modeling Cognition with Probabilistic Programs: Representations and Algorithms
Andreas Stuhlmüller (2015)
Ph.D. thesis, Massachusetts Institute of Technology
This thesis develops probabilistic programming as a productive metaphor for understanding cognition, both with respect to mental representations and the manipulation of such representations.
In the first half of the thesis, I demonstrate the representational power of probabilistic programs in the domains of concept learning and social reasoning. I provide examples of richly structured concepts, defined in terms of systems of relations, subparts, and recursive embeddings, that are naturally expressed as programs and show initial experimental evidence that they match human generalization patterns. I then proceed to models of reasoning about reasoning, a domain where the expressive power of probabilistic programs is necessary to formalize our intuitive domain understanding due to the fact that, unlike previous formalisms, probabilistic programs allow conditioning to be represented a model, not just applied to a model. I illustrate this insight with programs that model nested reasoning in game theory, artificial intelligence, and linguistics.
In the second half, I develop three inference algorithms with the dual intent of showing how to efficiently compute the marginal distributions defined by probabilistic programs, and providing building blocks for process-level accounts of human cognition. First, I describe a Dynamic Programming algorithm for computing the marginal distribution of discrete probabilistic programs by compiling to systems of equations and show that it can make inference in models of "reasoning about reasoning" tractable by merging and reusing subcomputations. Second, I introduce the setting of amortized inference and show how learning inverse models lets us leverage samples generated by other inference algorithms to compile probabilistic models into fast recognition functions. Third, I develop a generic approach to coarse-to-fine inference in probabilistic programs and provide evidence that it can speed up inference in models with large state spaces that have appropriate hierarchical structure.
Finally, I substantiate the claim that probabilistic programming is a productive metaphor by outlining new research questions that have been opened up by this line of investigation.
The Design and Implementation of Probabilistic Programming Languages
Noah D. Goodman and Andreas Stuhlmüller (electronic)
Learning physics from dynamical scenes
Tomer D. Ullman, Andreas Stuhlmüller, Noah D. Goodman, and Joshua B. Tenenbaum (2014)
Proceedings of the Thirty-Sixth Annual Conference of the Cognitive Science society
Humans acquire their most basic physical concepts early in development, but continue to enrich and expand their intuitive physics throughout life as they are exposed to more and varied dynamical environments. We introduce a hierarchical Bayesian framework to explain how people can learn physical theories across multiple timescales and levels of abstraction. In contrast to previous Bayesian models of theory acquisition (Tenenbaum, Kemp, Griffiths, & Goodman, 2011), we work with more expressive probabilistic program representations suitable for learning the forces and properties that govern how objects interact in dynamic scenes unfolding over time. We compare our model and human learners on a challenging task of inferring novel physical laws in microworlds given short movies. People are generally able to perform this task and behave in line with model predictions. Yet they also make systematic errors suggestive of how a top-down Bayesian approach to learning might be complemented by a more bottomup feature-based approximate inference scheme, to best explain theory learning at an algorithmic level.
Learning Stochastic Inverses
Andreas Stuhlmüller, Jessica Taylor, and Noah D. Goodman (2013)
Advances in Neural Information Processing Systems (NIPS) 27
We describe a class of algorithms for amortized inference in Bayesian networks. In this setting, we invest computation upfront to support rapid online inference for a wide range of queries. Our approach is based on learning an inverse factorization of a model's joint distribution: a factorization that turns observations into root nodes. Our algorithms accumulate information to estimate the local conditional distributions that constitute such a factorization. These stochastic inverses can be used to invert each of the computation steps leading to an observation, sampling backwards in order to quickly find a likely explanation. We show that estimated inverses converge asymptotically in number of (prior or posterior) training samples. To make use of inverses before convergence, we describe the Inverse MCMC algorithm, which uses stochastic inverses to make block proposals for a Metropolis-Hastings sampler. We explore the efficiency of this sampler for a variety of parameter regimes and Bayes nets.
Knowledge and implicature: Modeling language understanding as social cognition
Noah D. Goodman and Andreas Stuhlmüller (2013)
Topics in Cognitive Science
Is language understanding a special case of social cognition? To help evaluate this view, we can formalize it as the rational speech-act theory: listeners assume that speakers choose their utterances approximately optimally, and listeners interpret an utterance by using Bayesian inference to "invert" this model of the speaker. We apply this framework to model scalar implicature ("some" implies "not all", and "N" implies "not more than N"). This model predicts an interaction between the speaker's knowledge state and the listener's interpretation. We test these predictions in two experiments, and find good fit between model predictions and human judgements.
Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs
Andreas Stuhlmüller and Noah D. Goodman (2013)
Journal of Cognitive Systems Research
A wide range of human reasoning patterns can be explained as conditioning in probabilistic models; however, conditioning has traditionally been viewed as an operation applied to such models, not represented in such models. We describe how probabilistic programs can explicitly represent conditioning as part of a model. This enables us to describe reasoning about others' reasoning using nested conditioning. Much of human reasoning is about the beliefs, desires, and intentions of other people; we use probabilistic programs to formalize these inferences in a way that captures the flexibility and inherent uncertainty of reasoning about other agents. We express examples from game theory, artificial intelligence, and linguistics as recursive probabilistic programs and illustrate how this representation language makes it easy to explore new directions in each of these fields. We discuss the algorithmic challenges posed by these kinds of models and describe how Dynamic Programming techniques can help address these challenges.
Learning Stochastic Inverses for Adaptive Inference in Probabilistic Programs
Andreas Stuhlmüller and Noah D. Goodman (2012)
Poster at the NIPS 2012 Workshop on Probabilistic Programming
We describe an algorithm for adaptive inference in probabilistic programs. During sampling, the algorithm accumulates information about the local probability distributions that compose the program's overall distribution. We use this information to construct targeted samples: given a value for an intermediate expression, we stochastically invert each of the steps giving rise to this value, sampling {\em backwards} in order to assign values to random choices such that we get a likely parse of the intermediate value. We propose this algorithm for importance sampling and as a means of constructing blocked proposals for a Metropolis-Hastings sampler.
A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs
Andreas Stuhlmüller and Noah D. Goodman (2012)
Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)
We describe a dynamic programming algorithm for computing the marginal distribution of discrete probabilistic programs. This algorithm takes a functional interpreter for an arbitrary probabilistic programming language and turns it into an efficient marginalizer. Because direct caching of sub-distributions is impossible in the presence of recursion, we build a graph of dependencies between sub-distributions. This factored sum-product network makes (potentially cyclic) dependencies between subproblems explicit, and corresponds to a system of equations for the marginal distribution. We solve these equations by fixed-point iteration in topological order. We illustrate this algorithm on examples used in teaching probabilistic models, computational cognitive science research, and game theory.
Knowledge and implicature: Modeling language understanding as social cognition
Noah D. Goodman and Andreas Stuhlmüller (2012)
Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society
2012 Cognitive Science Society computational modeling prize for Language
Is language understanding a special case of social cognition? To help evaluate this view, we can formalize it as the rational speech-act theory: listeners assume that speakers choose their utterances approximately optimally, and listeners interpret an utterance by using Bayesian inference to "invert" this model of the speaker. We apply this framework to model scalar implicature ("some" implies "not all", and "N" implies "not more than N"). This model predicts an interaction between the speaker's knowledge state and the listener's interpretation. We test these predictions in two experiments, and find good fit between model predictions and human judgements.
Why blame Bob? Probabilistic generative models, counterfactual reasoning, and blame attribution
John McCoy*, Tomer Ullman*, Andreas Stuhlmüller, Tobias Gerstenberg, and Joshua B. Tenenbaum (2012)
Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society
We consider an approach to blame attribution based on counterfactual reasoning in probabilistic generative models. In this view, people intervene on each variable within their model and assign blame in proportion to how much a change to a variable would have improved the outcome. This approach raises two questions: First, what structure do people use to represent a given situation? Second, how do they choose what alternatives to consider when intervening on an event? We use a series of coin-tossing scenarios to compare empirical data to different models within the proposed framework. The results suggest that people sample their intervention values from a prior rather than deterministically switching the value of a variable. The results further suggest that people represent scenarios differently when asked to reason about their own blame attributions, compared with the blame attributions they believe others will assign.
Inducing Probabilistic Programs by Bayesian Program Merging
Irvin Hwang, Andreas Stuhlmüller, and Noah D. Goodman (2011)
Technical Report. arXiv:1110.5667 [cs.AI]
This report outlines an approach to learning generative models from data. We express models as probabilistic programs, which allows us to capture abstract patterns within the examples. By choosing our language for programs to be an extension of the algebraic data type of the examples, we can begin with a program that generates all and only the examples. We then introduce greater abstraction, and hence generalization, incrementally to the extent that it improves the posterior probability of the examples given the program. Motivated by previous approaches to model merging and program induction, we search for such explanatory abstractions using program transformations. We consider two types of transformation: Abstraction merges common subexpressions within a program into new functions (a form of anti-unification). Deargumentation simplifies functions by reducing the number of arguments. We demonstrate that this approach finds key patterns in the domain of nested lists, including parameterized sub-functions and stochastic recursion.
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate, Noah D. Goodman, Andreas Stuhlmüller, and Jeffrey M. Siskind (2011)
Advances in Neural Information Processing Systems (NIPS) 24
Probabilistic programming languages allow modelers to specify a stochastic process using syntax that resembles modern programming languages. Because the program is in machine-readable format, a variety of techniques from compiler design and program analysis can be used to examine the structure of the distribution represented by the probabilistic program. We show how \emph{nonstandard interpretations} of probabilistic programs can be used to craft efficient inference algorithms: information about the structure of a distribution (such as gradients or dependencies) is generated as a monad-like side computation while executing the program. These interpretations can be easily coded using special-purpose objects and operator overloading. We implement two examples of nonstandard interpretations in two different languages, and use them as building blocks to construct inference algorithms: automatic differentiation, which enables gradient based methods, and provenance tracking, which enables efficient construction of global proposals.
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmüller, and Noah D. Goodman (2011)
Proceedings of the 14th international conference on Artificial Intelligence and Statistics
We describe a general method of transforming arbitrary programming languages into probabilistic programming languages with straightforward MCMC inference engines. Random choices in the program are "named" with information about their position in an execution trace; these names are used in conjunction with a database holding values of random variables to implement MCMC inference in the space of execution traces. We encode naming information using lightweight source-to-source compilers. Our method enables us to reuse existing infrastructure (compilers, profilers, etc.) with minimal additional code, implying fast models with low development overhead. We illustrate the technique on two languages, one functional and one imperative: Bher, a compiled version of the Church language which eliminates interpretive overhead of the original MIT-Church implementation, and Stochastic Matlab, a new open-source language.
Learning Structured Generative Concepts
Andreas Stuhlmüller, Joshua B. Tenenbaum, and Noah D. Goodman (2010)
Proceedings of the 32nd Annual Conference of the Cognitive Science Society
Many real world concepts, such as "car", "house", and "tree", are more than simply a collection of features. These objects are richly structured, defined in terms of systems of relations, subparts, and recursive embeddings. We describe an approach to concept representation and learning that attempts to capture such structured objects. This approach builds on recent probabilistic approaches, viewing concepts as generative processes, and on recent rule-based approaches, constructing concepts inductively from a language of thought. Concepts are modeled as probabilistic programs that describe generative processes; these programs are described in a compositional language. In an exploratory concept learning experiment, we investigate human learning from sets of tree-like objects generated by processes that vary in their abstract structure, from simple prototypes to complex recursions. We compare human categorization judgements to predictions of the true generative process as well as a variety of exemplar-based heuristics.
Statistical Learning of Compositional Concepts
Noah D. Goodman, Frank Jäkel, Andreas Stuhlmüller, Virginia Savova, and Joshua B. Tenenbaum (2009)
Poster at the 50th Annual Meeting of the Psychonomic Society
Classic laboratory experiments on concept learning used simple stimuli varying on a small number of obvious dimensions, such as shapes varying in size, color, and form. Also, the category structures that participants learned were defined in isolation from other concepts. Here, we explore learning of compositional concepts, defined in terms of generative rules and subpart concepts rather than in terms of fixed perceptual features. We study how compositional concepts can be learned from a small number of examples. Since related concepts can reuse the same subpart concepts, learning one new concept may help in learning another. We model learning in a Bayesian framework, making some assumptions about how concepts can be composed. Learning then amounts to inferring from examples the generative processes and parts underlying a set of novel concepts.
Learning Compositional Representations
Andreas Stuhlmüller (2009)
Bachelor's thesis at the University of Osnabrück
How could an agent learn and reason in a complexly structured, stochastic world? This problem is at the center of both artificial intelligence and psychology. One candidate answer to this question is that both learning and reasoning can be explained as probabilistic inference over a language-like hypothesis space for generative models. The goal of this thesis is to describe what makes this approach plausible and to demonstrate the learning of generative models from structured observations in a simple world consisting of stochastic, tree-generating programs. In order to make program inference feasible, I derive a new class of adaptive importance sampling algorithms for probabilistic programs that let us compute the likelihood of structured observations under a given generative model. Using this algorithm in combination with Markov Chain Monte Carlo methods, I quantitatively show that we can reliably infer generative models from observations in our demonstration world.
I run Forest, a repository for generative models.
I contributed to MIT-Church, the original implementation of the Church probabilistic programming language, and to Bher, a lightweight compiler for Church.
I wrote Cosh, a Church implementation based on exact inference with aggressive sharing of subcomputations.
I am one of the authors of WebPPL, a probabilistic programming language for the web.
Probabilistic Programming Languages
Probabilistic programs express generative models, i.e., formal descriptions of processes that generate data. To the extent that we can mirror mechanisms "out there in the world" in a formal language, we can pose queries within this language and expect the answer to line up with what happens in the real world. For example, if we can accurately describe how genes give rise to proteins, this helps us in predicting which genetic changes lead to desirable results and which lead to harm.
Traditionally, Bayesian networks have been used to formalize and reason about such processes. While extremely useful, this formalism is limited in its expressive power compared to programming languages in general. Probabilistic programming languages like Church provide a substrate for computational modeling that brings together Bayesian statistics and Turing-complete programming languages.
Get started with the Probabilistic Models of Cognition tutorial.
Universal Inference Algorithms
A useful system for probabilistic programming needs to provide more than the ability to formally describe mechanisms: It must answer questions about such mechanisms, i.e., infer the consequences of conditioning these mechanisms on propositions of interest. Using Bayesian terminology, a probabilistic program specifies a prior distribution over return values. When we observe a value for a particular variable within the program, the goal of inference is to compute the posterior distribution on the unobserved variables. For example, given a program expressing a prior over diseases and symptoms, we may condition this program on the values of observed symptoms and compute the posterior distribution on diseases.
The problem of efficiently computing the posterior distribution provides a rich set of research directions: How do existing Bayes net inference algorithms like Metropolis-Hastings, importance sampling, and belief propagation generalize to the setting of probabilistic programs? How can we improve upon existing algorithms by making use of additional structure exposed by probabilistic programs? How can compilation techniques like flow analysis and abstract interpretation help? How can the task of inference in a particular program be formalized itself and treated as a meta-inference problem?
Read The Design and Implementation of Probabilistic Programming Languages and learn how to build a probabilistic programming system with priority-based enumeration, particle filtering, and MCMC inference algorithms.
Structure of Concepts
What is the structure of thought? The language of thought hypothesis proposes that thoughts are expressions in a mental language, and that thinking consists of syntactic manipulation of these expressions. The probabilistic language of thought hypothesis suggests that these representations have probabilistic meaning. If we treat concepts as stochastic programs and thinking as approximate Bayesian inference, can we predict human behavior in experimental settings better than using other approaches, e.g., prototype theory? If we learn more about the primitives and composition mechanisms used in the brain to represent abstract concepts, can this inform how we construct tools for reasoning?
Read my CogSci 2010 paper with Josh Tenenbaum and Noah Goodman on concept learning experiments and modeling.
Decision Theory
When we attempt to solve any particular problem, we do so because we believe that, overall, this is what we should be doing; we believe that, taking everything we know into account, we prefer to solve this problem over doing anything else. This judgement can be mistaken: We can make errors in our reasoning, fail at introspection, and forget to consider consequences. Using our intuitions, we attempt to solve a particular decision problem—the problem that defines the correct answer to the question what should be done?—and our solution is only approximately correct.
In the long run, we want to improve at solving this decision problem. Autonomous intelligent systems, if ever built, need to contribute to solving this decision problem if the outcome is to be of moral worth. This seems to require that we improve upon our intuitive understanding of what this decision problem is. Currently, the most tractable approach to this seemingly impossible problem appears to be the study of decision theory and of related notions such as choice, control, and consequentialism.
Shared photos and location updates.
Open source projects, mostly written in Scheme.
Various musings and notes.


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Arbors at Franklin Township
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Prices, specials, features and availability subject to change.
Contact for details (732) 993-5909
Accepts Credit Card Payments, Accepts Electronic Payments, Emergency Maintenance
Beautiful new landscaping, Beautifully renovated kitchens, Cable-Ready, Dining Area/Room, Generous closet space, Gleaming hardwood floors or plush new carpet, Large, comfortable rooms, Laundry facilities on premises, Mature trees, Modern baths, Off street parking, Park-like setting with sprawling lawns, pet Park coming this summer, Public Transportation, Separate Kitchen, Short Term Available, Spacious Closet(s), Window Coverings
Property Details
Beautiful newly renovated apartments located in Franklin Township, voted #1 place to live in NJ by CNN money!!! Under new management!
Located in prestigious Franklin Township, you'll find The Arbors at Franklin Township the perfect place to call home. Our location is incomparable. Franklin Township was recently rated the #1 place to live in New Jersey and #5 in the entire nation. We are just minutes from NJ transit trains, fine dining, museums, theaters, major hospitals, Rutgers University and Rutgers Stadium. If you are ready to leave the hustle and bustle behind, Franklin Township boasts acres of pristine wilderness, with parks, hiking, biking, canoeing and more all right in your own backyard. Commuting from our community could not be easier. We are centrally located near route(s) 18, 1, 287, 27, and the New Jersey Turnpike, or take a break from driving and ride your bicycle to the nearby train station.
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Joanne R.
I've been living here for almost a year. I have no complaints! The maintenance is great, always updating the Read Moreapartments inside and out! Permit parking so you never have to worry about not finding a spot. Definitely renewing my lease!
February 4, 2014
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I felt comfortable in my place, there was always someone available if I needed assistance, my neighbors were f Read Moreriendly, there was adequate parking - I just enjoyed my stay there as a whole.
January 15, 2014
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The parking situation is horrible. They do not give enough parking passes to each apartment. A three bedroom o Read Morenly gets two passes. School busses take up most of the street parking that they say is all they have left for parkinhg. Also when you go to management with an issue about another neighbor they are rude and tell you they won't do anything about the level of noise or if your being harassed by another neighbor. The office supervisor is condescending, rude and lacks customer service skills
December 28, 2013
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Product Pages, Odd Behavior When Image Is Clicked
Posted 07 May 2014 - 12:35 PM
I'm seeing some odd behavior on Product pages -- only those which have an image uploaded.
When I click on the image, I (barely) see an X icon flying off the screen, and then the image duplicates itself on the screen, and clicking elsewhere opens another duplicate image! This happened in 3 different browsers where I tested it.
I don't have a payment processor set up yet -- wondering if this is related to that.
Here is a Product page which shows the issue, for me, at least:
Here is another:
Do you see the same weirdness? Any idea what's up with that?
Thanks very much in advance,
Posted 07 May 2014 - 12:54 PM
Have you tried testing for a plugin conflict? You'd deactivate all of your plugins and then see if it works properly. If it does, reactivate your other plugins one at a time, testing Exchange each time to see which plugin is causing the conflict.
You can also try testing for a theme conflict by temporarily activating one of the WordPress default themes like Twenty Fourteen.
Give that a try and let us know how it goes.
Posted 07 May 2014 - 02:01 PM
Ok, I have all plugins deactivated except for Exchange & add-ons, and TwentyFourteen activated, so this is just WordPress with TwentyFourteen + Exchange. I'll leave it that way until you can have a look.
There's still something funny going on. The Product Page Featured Image is clickable and opens another copy of itself in some kind of lightbox which has to be closed with the X in the top right. Any idea what's causing that, or how to fix it? Could it be something about the way I've set up the products?
Here are 2 product pages - it happens on both:
Thanks very much in advance again,
Posted 07 May 2014 - 03:30 PM
That is the expected behavior. So either a plugin or a theme was causing your earlier issue.
If you want to keep the image popup, reactivate your plugins one at a time, testing Exchange each time until you figure out which one is creating the issue. If it's not one of the plugins, then it's your theme.
If you don't want the image popup enabled, you can go into Exchange > Settings > General Settings and in the Product Gallery Settings select No for the Enable Popup option.
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I recently purchased a Bronice Zenza PE 150mm lens. It has 1/2 stop increments in that there is a click in between each f-stop to indicate this. I also have an MC 150mm lens (one model earlier) which doesn't have a click in between. My question is, are the MC lenses (or other lenses) capable of registering 1/2 stops even though there is no click simply by rotating the lens to in between the f-stops?
I have done this with lenses on my Nikon FM2 which also don't have the clicks and it has changed the meter reading but sometimes only when I have moved it further towards the next f-stop and not necessarily directly in the middle.


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- Filed Under
They came not to bury Greystone, but to preserve it.
Members and supporters of Preserve Greystone packed a room at the Morristown and Morris Township Library on Thursday for its official annual meeting, where the discussion was dominated by the pending demolition of the psychiatric hospital's iconic Kirkbride Building.
"Just last month, the state treasurer himself came to North Jersey to meet with public officials and Preserve Greystone," President John Huebner told the nearly 100 people at the meeting. "This was to announce that the demolition process had been finalized, but we are ...


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FYI Forest Fires (Food and Agriculture Organizations of the United Nations)
Involving Local Communities to Prevent and Control Forest Fires
WASHINGTON and ROME, July 26 /PRNewswire/ -- Involving local communities
is crucial to prevent and control destructive forest fires, FAO said today.
"Globally, 95 percent of all fires are caused by various human
activities," said Mike Jurvelius, an FAO forest fire expert.
"If humans are the main cause of forest fires, prevention and control have
to involve people at local level. The traditional approach of focusing on
legislation and expensive equipment alone is not sufficient," he added. "Local
communities actively participate in forest fire prevention and control when
they have a stake in forest management and benefit from the forests."
Main causes of fire outbreaks in rural areas include: uncontrolled use of
fire for agriculture; setting fire to forests and grassland to convert them
into agricultural fields; the use of fire to gain access to hunting; and
Some forest ecosystems are adapted to fires, and even benefit from them,
but most farmers lack incentives and sometimes the skills to contain them.
Since the 1980s, forest fires have increased in severity in many parts of
the world. In 2002, fires destroyed more than 864 million acres (350 million
hectares) of forests and grassland globally, an area equal in size to that of
India. In Europe, according to the Global Fire Monitoring Center, based in
Freiburg, Germany, almost 1.7 million acres (700,000 hectares) of forests and
bushland were scorched by fire in 2003.
Role of local communities
"Fire management is directly linked with benefits. Only when local
communities know they will benefit from protecting their forests, will they do
everything to prevent forest fires," Jurvelius said.
A village in China, for example, has had no uncontrolled fires for over 35
years, ever since a policy was adopted that provided benefits and income from
the forests to the villagers.
A study in India revealed that the level of rural communities' dependency
on their surrounding forests relates directly to their participation in fire
In the Gambia, community forestry practices have resulted in a drop in
damaging and unwanted fires, as increased participation and access to forest
ownership have led to more effective fire prevention and suppression.
Community-based fire control activities in the United States have been
highly successful. Some of the awareness-raising activities that have been
used include a geographic analysis of potential hazards for fire fighters,
educating people on how to protect their houses with fire resistant materials,
and warning systems on days with severe fire weather conditions.
In many countries, however, despite legal obligations requiring local
communities to participate in fire management, governments have not yet been
successful in mobilizing communities, where rural people have little influence
on decision-makers and planners.
FAO supports member countries to develop policy, legal and institutional
frameworks to strengthen the active role of local institutions in forest fire
State intervention
FAO recommends that each country analyze its fire situation and develop a
strategy for preventing and managing wildland fire. In many countries, local
communities alone are not capable of managing intense and large fires.
Intervention is required from provincial or national level agencies.
In some countries, more effective law enforcement against arsonists is an
important part of the solution. In other countries, awareness of fire
prevention and control needs to be increased, especially at the edge of urban
areas where housing is constructed inside forests. Improved monitoring may be
required, and emergency call centres should be established for people to
report fires.
FAO also promotes international cooperation among countries affected by
forest fires. FAO has developed guidelines for countries to establish
agreements so as to assist each other in responding to fire emergencies and to
exchange resources. Such agreements may be established at the bilateral,
regional, or even the global level.
FAO is currently assisting Bulgaria, Ethiopia, Guatemala, Mongolia,
Namibia and Syria in developing forest fire control policies and community-
based fire management and awareness programs.Proudly serving as the IACOJ Minister of Information & Propoganda!
Be Safe! Lookouts-Awareness-Communications-Escape Routes-Safety Zones
*Gathering Crust Since 1968*
On the web at www.section2wildfire.com
- Join Date
- May 2004
- Location
- Calgary
- Posts
- 193
ah - the big picture
Here's the UNEP's most recent take on burning
One view on outcomes and global co-operation implications of the worst wildfire in living memory - SE Asia's HAZE.
Speaking in Canberra during this $14B disaster from an el Nino year, WWF International's JP Jeanreaud, Chief of Forestry, said there ought to be a globally-capable, globally-staffed, firefighting force, armed and equipped as never before, in an effort the equivalent to war, ready to go anywhere, anytime, to stop the burning.
Stay tuned to el Nino.
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Providing specialized and personalized diagnostic services for women of all ages. Our Ultrasound Center is equipped to diagnose all fetal and gynecological problems, using the latest technology.
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Please note: Downloadable patterns do not qualify for Free Shipping. After ordering this pattern you will receive a download link in your order confirmation email.
Adobe Acrobat required.
Use the Quick Curve Ruler to create these amazing curves with ease and confidence. This simple method makes curved piecing a dream, and the design looks amazing every time.
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Josh Lewsey - "the Welshman who got away" - says regional rugby is working in Wales.
The England and London Wasps fullback - whose mother is a Welsh speaker and was born in Cwmllynfell - was on the receiving end of last Sunday's Heineken Cup loss to the Celtic Warriors, and says the new-look regional system should get the credit.
"Welsh rugby has been through a torrid time recently," Lewsey said in a newspaper column.
"Some doubters questioned it at the time, but the positive performances of their national team in the World Cup, aligned with the competitive nature of Celtic Warriors, Llanelli Scarlets and The Dragons, clearly vindicates the changes.
"It's an unfortunate situation but a brave necessity in order to maintain the existence of the professional game."
Lewsey added: "Whole communities in Wales, along with the game in general, need Welsh rugby to be strong and it seems after a few fallow years that it certainly is where it's going.
"Yet from my point of view they can continue this renaissance once our game against Celtic Warriors finishes."
The return game in Pool Six takes place at the Brewery Field on Friday and Lewsey is looking forward to playing in front of a sellout 10,000-strong crowd.
"The result at the Causeway Stadium will make the re-match on Friday night mouth-watering prospect," Lewsey said. "Pool Six is the tightest of all, with three teams level top with 10points. Consequently, the next two away games are simply must-wins for us to progress."


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From Prestige Medical, this glow-in-the-dark wristwatch features a 1 1/4" diameter, 24-hour dial with chrome case and step second hand. White leather strap. Water-resistant.
Overall Rating:
My husband ordered this watch for me I did not think I would like but but after it got it I really do love it.
You get what you pay for with this watch - ease to see/read even in the dark, very attractive(has drawn compliments from all who notice) and functional. Great for the nurse in your life or anyone who wants a robust yet fashionable watch. Allheart provided great service and I will order from them again.
watch is nice, but military time is no big enough to read
Actually I have this watch a few years ago and it still looks and functions beautifully. My sister has one also and we both love it.
I love it but It broke the first week that I got it!
This watch is very easy to read and works perfectly for the nursing profession
Thanks for the great product. The watch has a low profile, so it is not in the way. I have not been a regular watch wearer for years, but need to now for a nursing class. The dial is simple to read, glows in the dark, and has the military time on the face as well. Nice band. Everything was as advertised. Thank you again.
I finally found the watch I was looking for. Why is it so hard to find a watch with a second hand, glow in the dark face and military time, that fits my wrist. Thank you for ending my search. Very reasonably priced as well.
I was very pleased to receive my order well in time before Christmas, without having to pay additional shipping.It also arrived in good condition.I was a little disappointed in the quality of the product, but it's good enough for the price.I would shop at your site again.
This watch was exactly what I was looking for. I bought this because I was starting nursing school and needed a watch with the second hand. The real selling point to me was that it glowed in the dark and underneath the time the military time is listed. It is comfortable and fits well, definitely love the leather band. It is not as pretty as some other watches, but its comfort and functionality definitely make up for it!
I love it! It's so comfortable, soft, eazy to read


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Collegium (ministry)
From Wikipedia, the free encyclopedia
This article does not cite any references or sources. (March 2007) |
- See also collegium (disambiguation) for other meanings.
The collegia (plural of a collegium, "joined by law") were government departments in Imperial Russia, established in 1717 by Peter the Great. The departments were housed in the Twelve Collegia building in Saint Petersburg.
Originally nine were established:
- Collegium of Commerce
- Collegium of Financial Inspection and Control
- Collegium of Foreign Affairs
- Collegium of Justice
- Collegium of Manufacturing
- Collegium of the Navy
- Collegium of State Expenses
- Collegium of State Income
- Collegium of War
Three more were later added:
- Collegium of Estates
- Collegium of Mining
- Collegium of Town Organization
Each collegium consisted of a president, a vice-president, four councilors, four assessors, a procurator, a secretary, and a chancellery. The collegia were replaced with ministries during the Government reform of Alexander I.
See also[edit]
This Russian history-related article is a stub. You can help Wikipedia by expanding it. |
This article about government in Russia is a stub. You can help Wikipedia by expanding it. |


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(FILES) This December 3, 2014 file photo shows former US Secretary of State Hillary Clinton as she discusses "Smart Power: Security Through Inclusive Leadership" at Georgetown University in Washington, DC. Hillary Clinton launched her bid April 12, 2015 to become the first woman to win the White House, and announced a campaign tour to showcase her support for "everyday Americans." "I'm running for president," Clinton, a former secretary of state and US first lady, said in a video on her campaign website that went live at about 3:00 pm (1900 GMT) Sunday. AFP PHOTO / Jim WATSONJIM WATSON/AFP/Getty Images
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Dizzee Rascal tops Snowbombing 2012 line-up
Rapper replaces Snoop Dogg at the Forest Party
Photographer: Trevor EalesDaniel Fahey on 30 January 2012
The news comes a few weeks after Snoop Dogg cancelled
his appearance at the event.
Speaking about his return to the festival, Dizzee Rascal said: "I can't wait to get back to Snowbombing… The
last time was wicked but this time will be even better headlining the Forest stage. I've got a few new ones to try out
on ya and this time I'm actually going to learn to snowboard!"
Example, The Vaccines,
DJ Shadow and Wretch 32 are among the names already confirmed for the Snowbombing
line-up, with the festival set to take place in Mayrhofen, Austria from 9-14 April.
Click for the
Snowbombing line-up.
Snowbombing 2012
tickets prices start from £289 for
accommodation and all the entertainment.
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5 posts found | |
Another day another boss fight. Senbora The Devourer isn't a hard fight. But it punishes the not paying attention severely. His mechanics are simple; He has a charge, Ground Pound that leaves aoe, A fire Eruption, a debuff that causes damage to everyone around the target. He has one more skill I believe a fire path skill. Where he leave fire in his wake. It's a fun little diversion to your day and worth a look. His raid quest starts from Lady Nessie in Hailol. Remember don't take these as serious as instance content. Just a learning stepping stone for all. It's also a excellent area for people not in big guilds to have a shot at content and loot. This helps population retention and is a smart Idea. Scionstorm Host of |
imo the No1 mmo if you want to hang around in the world, doing things with other ppl. i never get bored doing this. it feels more mmo than any other at the moment.
Elite Member
Joined: 8/13/09 "It is double pleasure to deceive the deceiver". - Niccolo Machiavelli |
Originally posted by Aroukos while i kinda agree with you here, its only to a point. When i hang around the maps with people the content throughout the map is too repetitive after a couple times. If they make it more varied (i.e. instead of 8 rifts with different mobs and names at the same time, make a bunch of totally different events) then yeah it would be awesome. |
I also really love the event they're having this weekend, where you go to Silverwood/Freemarch (the lowbie zones for those unfamiliar) and mentor down to that level. Some of the zone event bosses, although not hard, are still a lot of fun. And they're huge! :D "We need men who can dream of things that never were." - John F. Kennedy |
Originally posted by Freezzo i like them too. the best thing i find in RIFT, is that you WANT to go outside and you have fun most of the times doing it. it also looks more like a mmo than most in the market. |


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Eclipse Summit Europe
November 2-4, 2010
Ludwigsburg, Germany
Engineering Group participates in the Eclipse Summit Europe 2010, both in the conference program and with a booth in the exposition area.
In particular, Antonio Majori, member of the Eclipse SOA initiative and founder of Spagic project, gives a sponsored talk entitled "Living IT Architectures - Eclipse OSGi and SOA TLP in Healthcare and e-Government". Andrea Zoppello (eBPM project leader and Spagic Architect), Angelo Bernabei (eBAM project leader and SpagoBI Architect) and Gianfranco Boccalon (Spagic project leader) participate in the RT Tutorial and Demo Camp.
- Members Events
- Eclipse Summit Europe


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Ramada Inn Torrance
Lowest price$89
room was nice. used spray at times because when you first walked in the room had a slight…
Second floor room with balcony overlooking the pool and hot tube. Nicely refurbished in…
TripAdvisor Traveller Rating: 3
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from $89- Room, 2 Double Beds, Non Smoking
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F Yeah! The 10 Most Memorable Moments Of The 2012 FYF Festival
Katy Perry & John Mayer spotted at FYF [photo: Instagram]
Sleigh Bells slay at FYF [photo: Raymond Flotat / mxdwn.com]
The fest also now goes by the more family-friendly acronym "FYF Festival," though please don't ask me what the extra "F" stands for. (Seriously, doesn't "FYF Festival" literally mean "F*** Yeah Festival Festival"? Whatever.) All I know is the "F" doesn't stand for "Fail," because despite indie purists' fears that the festival's elevated profile and expanded lineup would cause the event to stray from Carlson's original vision, this may have been the best FYF yet.
Twin Shadow [photo: Raymond Flotat / mxdwn.com]
1) Sleigh Bells' Entire F-in' Set


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Company: PRV Productions
Paige Richards, Natalie Minx
Critical Rating: AAA 1/2
Genre: Specialty
The new invention called the Slave Maker 20-07 is a microchip which, when imbedded in a person, causes them to become a slave. Paige Richards and C.J. Masters try it out on an unwilling Natalie Mynx, and it works great until it abruptly shuts off and they are forced to use bondage to make her a slave in a more old fashioned manner.
Using ropes and all sorts of specialty items like candle wax, gagging, a frozen phallus, and more, Mynx is eventually brought around to do their bidding sans microchip.


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Salm, Arthur. ANYWAY : A STORY ABOUT ME WITH 138 FOOTNOTES, 27 EXAGGERATIONS, AND 1 PLATE OF SPAGHETTI New York : Simon and Schuster Books for Young Readers, 2012 IL 3-6, RL 4.5 ISBN 1442429305 Twelve year old Max cannot believe his parents dragged him to this boring family camp. And plan to stay the whole summer! Max just has to do something to make this all tolerable. So he reinvents himself into Mad Max. He is not the bad boy of the camp. He is fearless and daring and cool. But can he keep this up?
Saturday, December 15, 2012
Today's podcast 12/15/2012
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Hanover, NH
Jodi Picoult [March 2005]
NYT bestselling novelist of My Sister's Keeper and Vanishing Acts
Jaqueline Mitchard's The Breakdown Lane. I was fortunate enough to read a galley of this book (which arrives in April) and was completely moved by the plight of a woman who has it all, and who sees her life falling apart bit by bit. It's every bit as good as The Deep End of the Ocean, her first book...and the first Oprah pick ever. Enjoy!


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NEWSLETTERS Free Newsletters Archive My Subscriptions NEWS News by Subject News by Disease News by Date PLoS Search News Post Your News JoVE CAREER NETWORK Job Seeker Login Most Recent Jobs Search Jobs Post Resume Career Fairs Career Resources For Employers HOTBEDS Regional News US & Canada Biotech Bay Biotech Beach Genetown Pharm Country BioCapital BioMidwest Bio NC BioForest Southern Pharm BioCanada East C2C Services & Suppliers™ Europe Asia DIVERSITY PROFILES Company Profiles INTELLIGENCE Research Store INDUSTRY EVENTS Research Events Post an Event RESOURCES Real Estate Business Opportunities
by Jan A. Graw, Claudia D. Spies, Klaus-D. Wernecke, Jan-Peter Braun
End-of-life-decisions (EOLD) have become an important part of modern intensive care medicine. With increasing therapeutic possibilities on the one hand and many ICU-patients lacking decision making capacity or an advance directive on the other the decision making process is a major challenge on the intensive care unit (ICU). Currently, data are poor on factors associated with EOLD in Germany. In 2009, a new law on advance directives binding physicians and the patient´s surrogate decision makers was enacted in Germany. So far it is unknown if this law influenced proceedings of EOLD making on the ICU.
A retrospective analysis was conducted on all deceased patients (n?=?224) in a 22-bed surgical ICU of a German university medical center from 08/2008 to 09/2010. Patient characteristics were compared between patients with an EOLD and those without an EOLD. Patients with an EOLD admitted before and after change of legislation were compared with respect to frequencies of EOLD performance as well as advance directive rates.
In total, 166 (74.1%) of deaths occurred after an EOLD. Compared to patients without an EOLD, comorbidities, ICU severity scores, and organ replacement technology did not differ significantly. EOLDs were shared within the caregiverteam and with the patient´s surrogate decision makers. After law enacting, no differences in EOLD performance or frequency of advance directives (8.9% vs. 9.9%; p?=?0.807) were observed except an increase of documentation efforts associated with EOLDs (18.7% vs. 43.6%; p<0.001).
In our ICU EOLD proceedings were performed patient-individually. But EOLDs follow a standard of shared decision making within the caregiverteam and the patient´s surrogate decision makers. Enacting a law on advance directives has not affected the decision making-process in EOLDs nor has it affected population´s advance care planning habits. However, it has led to increased EOLD-associated documentation on the ICU.
ClinicalTrials.gov NCT01294189.


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Restaurant Preview: Rio Bravo Tacos & Tequila
An eclectic, prismatic interior with colorful margaritas to match complete this new Mexican restaurant.
The 411: This lovely little village offers small-town charm with a sophisticated accent, as it attracts many French families who enroll their children in the private French American School located here. Larchmont is a particularly favored community for those making that first leap to the 'burbs from the city as it has much to offer: an easy commute to the city, highly rated public schools, lovely parks, and a delightful downtown shopping district dotted with interesting small boutiques, gourmet stores, a wide variety of eateries, antiques shops and decorating studios, and even its own children's bookshop. Originally founded as a summer shoreline retreat for the wealthy, Larchmont, while now a year-round suburb, still attracts many successful lawyers, bankers, and a slew of former Upper West Side psychologists and psychiatrists to its many vintage homes (circa 1920s), grand estates on Long Island Sound, and closer-to-town family-friendly neighborhoods. Larchmont offers one of the most scenic waterfront parks in the county—Manor Park, with its 13 prime acres, much of which lies on Long Island Sound, has been likened to a smaller version of the famed Cliff Walk in Newport, Rhode Island, and features flat rocks that even the littlest residents can walk on at low tide and benches carved into larger rocks from which to soak in the spectacular sunsets. Not surprisingly, boating is big here, with the village also home to the private Larchmont Shore Club. And Larchmont's popular Watercolor Café, with its full schedule of live music performances, attracts both locals and other music lovers from throughout the county.
Manor Park, submitted by Michael Baruch. This is our current featured photo for Larchmont. Submit your own pictures, below, and perhaps yours will become the featured image on our Larchmont page.
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An eclectic, prismatic interior with colorful margaritas to match complete this new Mexican restaurant.
Celebrate with Westchester's top restaurants.
Possibly the only dessert in the county that actually comes with a warning just for trying to order it. Oh, and there are no refunds, either.
Katonah Museum of Art
Jul 15, 2014 - May 31, 2015


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Share your thoughts
What do you think of the
Paha Que Cottonwood XLT with Awnings 10 x 10ft
? Share a...
Backcountry Video
Paha Que in Windy Conditions
Richard Weiss
Are there actually two (2) awnings included...
Are there actually two (2) awnings included with the shelter and are there two (2) sets (4 poles) for setting up both awnings?
There are indeed two awnings, but it would appear that there are two sets of two poles for setting up the awnings.
Took a BEATING and Stood Up to the Test!
I have the Cottonwood 10 x 10 (not the XLT, but essentially the same).
Took it camping this past weekend in the dunes at Assateague Island National Seashore. We knew there was a chance of "scatter t-storms" but weren't going to let the weathermen ruin the weekend.
Long story short, first time setup was challenging, but it was dark and windy. When the wind really started to pick up, we made sure our guylines were perfectly anchored. I backed up my pole stakes with a few sand anchors too.
This 10x10 road out the first night without breaking a sweat, and then stood up to a heavy rainstorm with nervously strong gusts of wind for a few hours the following day. Other shelters around us were damaged, but not ours. Nothing moved, no bend poles, no worries!
Highly recommended.


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Time magazine's selection of Barack Obama as Person of the Year keeps an interesting streak alive: Since 1927 when the tradition began, all presidents who have served more than one term (whether through election or succession) have been named Person of the Year at least twice.
Let's go through them, according to Wikipedia's handy list:
With Wednesday's announcement, Mr. Obama has been person of the year in 2008 and 2012. President George W. Bush was named person of the year twice as well – in 2000 and in 2004, the years he was elected and re-elected – same as Mr. Obama.
President Ronald Reagan was person of the year in 1980 and 1983 (with the Soviet Union's Yuri Andropov), while President Bill Clinton was 1992 and in 1998 (with nemesis Ken Starr). President Richard Nixon won in 1971 and 1972 (with Henry Kissinger), Lyndon Johnson won in 1964 and 1967, while Harry S. Truman was named person of the year in 1945 and 1948. Franklin D. Roosevelt was named person of the year in 1932, 1934 and 1941.
One wrinkle: Dwight Eisenhower was only named man of the year once during his two terms as president, in 1959. But the former general had previously been person of the year in 1944 for his military leadership in World War II, bringing his total to two.
Most presidents who weren't re-elected won person of the year once, including George H.W. Bush (1990), Jimmy Carter (1976) and John F. Kennedy (1961). Gerald Ford was never named person of the year, and neither was Herbert Hoover.
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So let's see which survivor communities have the most people here? :D
So let's see which survivor communities have the most people here? :D
Canadian expat, born in Beautiful British Columbia but living in Melbourne, Australia.
I was born in Dallas, Texas, I lived for four years in New York City, and finally settled in San Francisco. I'm all over the place.
Saudi Arabia :cool:
Gas is LITERALLY cheaper than water in here :p
full tank of a 2012 suburban is around like 7 - 8 $ lo :D
I was born and raised in Savannah Ga. I guess everyone's going to see how we fair in a few more days.
@DreadMagus said: America!
Fuck yeah!
Comin' again to pwn your ZA, yeah!
Up here in southern Illinois, the kids at the local school say: "America, TRUCK YEAH!!"
I actually live in the state the series takes place in...
So it hits me really hard.
Uk, Bradford. And episode 3 hasn't come out for ios yet in uk. I'm pretty pissed off...