anchor.diff:  
   ```
   
  -==== Build Runner
  +=== Build Runner
   
   Next you need to build the runner.
   cd inso the runner directory and build the java project with maven:
  
positive.code: ```
  This generates the `iAntRunner-1.0.0-SNAPSHOT-jar-with-dependencies.jar` artifact within the `runner/target` directory.
  
  ==== Execution
  
  The `iAntRunner-1.0.0-SNAPSHOT-jar-with-dependencies.jar` includes an experiment runner and associated data analysis tools.  The runner is executed by running the `edu.unm.Runner` class.  `Runner` has the following parameters:
  ```
  
negative.code: = NeatFA
  
  NeatFA is an application of Neuro Evolution of Augmented Topologies to the foraging problem in swarm robotics.
  This project includes a forked version of http://www.argos-sim.info/[ARGoS] that evalutes an input neural network and returns the fitness.
  Also this project includes a controlling application that evolves the neural network using http://nn.cs.utexas.edu/?jneat[JNeat] and evalutes the population with multiple ARGoS simulations in parallel. 
  
  == Directions
  
  This project has two parts.
  First is the application to evolve a neural network via NEAT to forage in ARGoS.
  Second, this project offers a handful of tools to evaluate the analyze the generated networks.
  
  === Build ARGoS
  
  To start, you need to build ARGoS.
  This may require the installation of a handful of dependencies to be installed.
  