Describe the design of, and implement a procedure that uses adaptation, and possibly learning, to produce a viable behaviour for your agents.

Design and Implementation of Adaptive Agent Behavior

The assessment criteria require functional code implementation of specified objectives, with design work potentially earning partial marks. Non-executable code sections will not be accepted.

Select a simple, efficient representation for agent behavior that supports adaptation. Describe this representation in the NetLogo Info section, providing reasons for your choice.

Include operational code detailing how simulation execution will establish the foundation for assessing agent fitness in adaptive behavior. Explain the generation of training examples for the learning algorithm, if necessary.

Describe and implement a procedure leveraging adaptation and potential learning to achieve viable agent behavior.

Design an evaluation procedure comparing adaptive behavior to non-adaptive behavior. Draw statistically significant conclusions supported by appropriate tests, assuming all agents can change behavior simultaneously.