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Property Analysis of Open Networks of Cooperative Neuro-Agents using AMAS Theory
University of Modena and Reggio Emilia, Italy June 14-June 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ENABL.2004.5013th IEEE International Workshops on ...
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J. P. Mano, IRIT, Universit? Paul Sabatier, France
P. Glize, IRIT, Universit? Paul Sabatier, France
According to the most recent research on adaptive multi-agent systems, it is possible to assess that those systems are able of building by themselves a representation of their surrounding world.
Using cooperation as a local criterion of self-organization it become possible to make a multi-agent system learn how to interpret the different signals it receives in order to adapt its functioning to its environment. After an adaptation period, a complex system is able to emerge by the way of a self-organized learning network.
Index Terms:
network learning, knowledge acquisition, experimental study, multi-agent systems, functional emergence
Citation:
J. P. Mano, P. Glize, "Property Analysis of Open Networks of Cooperative Neuro-Agents using AMAS Theory," wetice, pp.409-414, 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE'04), 2004
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