Coupling Learning Capability and Local Rules for the Improvement of the Objects’ Aggregation Task by a Cognitive Multi-Robot System View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Abdelhak Chatty , Philippe Gaussier , Ali Karaouzene , Mohamed Bouzid , Ilhem Kallel , Adel M. Alimi

ABSTRACT

This paper aims to shed light on the benefits of the cognitive processes in the generation of emergent structures that allow the cognitive robots to succeed the objects’ aggregation task. In the multi-robot system, every robot uses local rules and an on-line building and learning of its own cognitive map. This fusion alters the positive impact of the individual behavior in the improvement of the overall system performance. A series of simulations and experiments allowed us to present and discuss the system. More... »

PAGES

290-299

Book

TITLE

From Animals to Animats 13

ISBN

978-3-319-08863-1
978-3-319-08864-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-08864-8_28

DOI

http://dx.doi.org/10.1007/978-3-319-08864-8_28

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046217677


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