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Yves Demazeau ;Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial 2001, 5 (13)

Autor: Jaime Sichman Simão

Fuente: http://www.redalyc.org/


Introducción



Inteligencia Artificial.
Revista Iberoamericana de Inteligencia Artificial ISSN: 1137-3601 revista@aepia.org Asociación Española para la Inteligencia Artificial España Sichman Simão, Jaime; Demazeau, Yves On Social Reasoning in Multi-Agent Systems Inteligencia Artificial.
Revista Iberoamericana de Inteligencia Artificial, vol.
5, núm.
13, 2001, p.
0 Asociación Española para la Inteligencia Artificial Valencia, España Available in: http:--www.redalyc.org-articulo.oa?id=92521308 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative On Social Reasoning in Multi-Agent Systems Jaime Simão Sichman Intelligent Techniques Laboratory Computer Engineering Department University of São Paulo Av.
Prof.
Luciano Gualberto, trav.
3 no.
158 05508-900 São Paulo SP Brazil jaime.sichman@poli.usp.br Yves Demazeau MAGMA Group LEIBNIZ Laboratory CNRS 46, av.
Félix Viallet 38031 Grenoble Cedex France yves.demazeau@imag.fr Abstract This work presents the core notions of a social reasoning mechanism, based on dependence theory.
This model enables an agent to reason about the others, in particular to calculate his dependence relations and dependence situations.
An agent is said to be dependent on another if the latter can help-prevent him to achieve one of his goals. We consider our social reasoning mechanism as an essential building block for the design of really autonomous artificial agents, which are immersed in an open multi-agent world.
By open, we mean that agents may enter or leave the society at any moment.
In such systems, as the organization of the agents can not be conceived at design time, the cooperative problem solving paradigm is based on dynamic coalition formation.
In this context, agents must be able to adapt themselves to dyn...





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