Evolving neural mechanisms for an iterated discrimination task: a robot based model

Authors:
Elio Tuci;Christos Ampatzis;Marco Dorigo
Affiliations:
IRIDIA, Université Libre de Bruxelles, Bruxelles, Belgium;IRIDIA, Université Libre de Bruxelles, Bruxelles, Belgium;IRIDIA, Université Libre de Bruxelles, Bruxelles, Belgium
Venue:
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Year:
2005

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Abstract

This paper is about the design of an artificial neural network to control an autonomous robot that is required to iteratively solve a discrimination task based on time-dependent structures. The “decision making” aspect demands the robot “to decide”, during a sequence of trials, whether or not the type of environment it encounters allows it to reach a light bulb located at the centre of a simulated world. Contrary to other similar studies, in this work the robot employs environmental structures to iteratively make its choice, without previous experience disrupting the functionality of its decision-making mechanisms.