INVESTIGADORES
CHESÑEVAR Carlos Ivan
artículos
Título:
An Argumentative Approach for Modelling Coalitions using ATL
Autor/es:
NILS BULLING; CARLOS IVÁN CHESÑEVAR; JÜRGEN DIX
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
Springer
Referencias:
Lugar: Berlin; Año: 2009 vol. 5384 p. 190 - 211
ISSN:
0302-9743
Resumen:
During the last decade argumentation has evolved as a successful approach to formalize commonsense reasoning and decision making in multiagent systems. In particular, recent research has shown that argumentation can be used to provide a framework for reasoning about coalition formation, formalizing the adoption of coalitions by the agents in association with dierent argumentation semantics. At the same time Alternating-time Temporal Logic (ATL for short) has been successfully used to reason about the behavior and abilities of coalitions of agents. However, an important limitation of ATL operators is that they account only for the existence of successful strategies of coalitions, not considering whether coalitions can be actually formed. This paper is an attempt to combine both frameworks in order to develop a logical system through which we can reason at the same time (1) about abilities of coalitions of agents and (2) about the formation of coalitions. In order to achieve this, we provide a formal extension of ATL, called Coalitional ATL (CoalATL for short), in which the actual computation of the coalition is modelled in terms of argumentation semantics. Moreover, we integrate goals as agents´ incentive to join coalitions. We show that CoalATL´s proof theory can be understood as a natural extension of the model checking procedure used in ATL.