title: Evolving cognitive-behavioural dependencies in situated agents for behavioural robustness.
abstract: This article investigates the emergence of robust behaviour in agents with dynamically limited controllers (monostable agents), and compares their performance to less limited ones (bistable agents). 'Dynamically limited' here refers to a reduced quantity of steady states that an agent controller exhibits when it does not receive stimulus from the environment. Agents are evolved for categorical perception, a minimal cognitive task, and must correlate approaching or avoiding movements based on (two) different types of objects. Results indicate a significant tendency to better behavioural robustness by monostable in contrast to bistable agents in the presence of sensorimotor, mutational, and structural perturbations. Discussions here focus on a further dependence to coupled dynamics by the former agents to explain such a tendency.
authors.affiliation: Centre for Computational Neuroscience and Robotics - University of Sussex, Brighton BN1 9QG, United Kingdom. jafphd@gmail.com
authors.forename: Jose A
authors.initials: JA
authors.lastname: Fernandez-Leon
mesh_terms: D001519:Behavior; D003071:Cognition; D003198:Computer Simulation; D004777:Environment; D019143:Evolution, Molecular; D008962:Models, Theoretical; D012371:Robotics; D049490:Systems Biology / Q000379:methods*