We provide a computationally tractable model of how organisms can learn to add structures to the world to reduce cognitive complexity. This model is then implemented using two techniques: first using a genetic algorithm, and then using the Q-learning algorithm. The results clearly show that organisms with only reactive behavior can learn to systematically add structures to the world to reduce their cognitive load. We show that such learning can happen in both evolutionary time and within an agent’s lifetime. An extension of this model (currently being implemented) is then illustrated, where organisms with just reactive behavior learn to systematically generate and use internal structures akin to representations.

Additional Metadata
Keywords cognition, genetic algorithm, Q-learning algorithm, learning
Publisher Department of Cognitive Science
Series Cognitive Science Technical Report Series
Chandrasekharan Sanjay, & Stewart Terry. (2004). Reactive Agents Learn to Add Epistemic Structures to the World. Technical Report 2004-01. Cognitive Science Technical Report Series. Department of Cognitive Science.