CLIC: A Framework for Distributed, On-Demand, Human-Machine Cognitive
  Systems
  Traditional Artificial Cognitive Systems (for example, intelligent robots)
share a number of limitations. First, they are usually made up only of machine
components; humans are only playing the role of user or supervisor. And yet,
there are tasks in which the current state of the art of AI has much worse
performance or is more expensive than humans: thus, it would be highly
beneficial to have a systematic way of creating systems with both human and
machine components, possibly with remote non-expert humans providing
short-duration real-time services. Second, their components are often dedicated
to only one system, and underutilized for a big part of their lifetime. Third,
there is no inherent support for robust operation, and if a new better
component becomes available, one cannot easily replace the old component.
Fourth, they are viewed as a resource to be developed and owned, not as a
utility. Thus, we are presenting CLIC: a framework for constructing cognitive
systems that overcome the above limitations. The architecture of CLIC provides
specific mechanisms for creating and operating cognitive systems that fulfill a
set of desiderata: First, that are distributed yet situated, interacting with
the physical world though sensing and actuation services, and that are also
combining human as well as machine services. Second, that are made up of
components that are time-shared and re-usable. Third, that provide increased
robustness through self-repair. Fourth, that are constructed and reconstructed
on the fly, with components that dynamically enter and exit the system during
operation, on the basis of availability, pricing, and need. Importantly, fifth,
the cognitive systems created and operated by CLIC do not need to be owned and
can be provided on demand, as a utility; thus transforming human-machine
situated intelligence to a service, and opening up many interesting
opportunities.
