Authors:
João Marinheiro
1
and
Henrique Lopes Cardoso
2
Affiliations:
1
DEI/FEUP and Faculdade de Engenharia, Portugal
;
2
DEI/FEUP, Faculdade de Engenharia and LIACC – Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal
Keyword(s):
Multi-agent Systems, Cooperative Games, Negotiation, Opponent Modeling, Trust Reasoning.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Cooperation and Coordination
;
State Space Search
;
Symbolic Systems
Abstract:
Traditional search techniques are difficult to apply to cooperative negotiation games, due to the often enormous
search trees and the difficulty in calculating the value of a players position or move. We propose a generic
agent architecture that ensembles negotiation, trust and opponent modeling, simplifying the development of
agents capable of playing these games effectively by introducing modules to handle these challenges. We
demonstrate the application of this modular architecture by instantiating it in two different games and testing
the designed agents in a variety of scenarios; we also assess the role of the negotiation, trust and opponent
modeling modules in each of the games. Results show that the architecture is generic enough to be applied in
a wide variety of games. Furthermore, we conclude that the inclusion of the three modules allows for more
effective agents to be built.