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13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE'04)
Property Analysis of Open Networks of Cooperative Neuro-Agents using AMAS Theory
University of Modena and Reggio Emilia, Italy
June 14-June 16
ISBN: 0-7695-2183-5
ASCII Text
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J. P. Mano, P. Glize, "Property Analysis of Open Networks of Cooperative Neuro-Agents using AMAS Theory," Enabling Technologies, IEEE International Workshops on, pp. 409-414, 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE'04), 2004.
 
 
BibTex
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@article{ 10.1109/ENABL.2004.50,
author = {J. P. Mano and P. Glize},
title = {Property Analysis of Open Networks of Cooperative Neuro-Agents using AMAS Theory},
journal ={Enabling Technologies, IEEE International Workshops on},
volume = {0},
year = {2004},
issn = {1524-4547},
pages = {409-414},
doi = {http://doi.ieeecomputersociety.org/10.1109/ENABL.2004.50},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Enabling Technologies, IEEE International Workshops on
TI - Property Analysis of Open Networks of Cooperative Neuro-Agents using AMAS Theory
SN - 1524-4547
SP409
EP414
A1 - J. P. Mano,
A1 - P. Glize,
PY - 2004
KW - network learning
KW - knowledge acquisition
KW - experimental study
KW - multi-agent systems
KW - functional emergence
VL - 0
JA - Enabling Technologies, IEEE International Workshops on
ER -
 
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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