Chapter 12

Argumentation-Based Planning in Multi-Agent Systems

Eva Onaindia, Oscar Sapena and Alejandro Torreno

Abstract

Research in Multi-Agent Planning (MAP) has traditionally been concerned with the design of coordination mechanisms such that the resulting joint plan meets the global goals of a problem. In contrast to most MAP techniques, in this paper we present a novel argumentation-based approach for multiple agents that plan cooperatively while having different capabilities, knowledge about the world and even contradictory information. Our aim is to enhance the role of argumentation as a means to attain a collective behaviour when devising a joint plan. Since agents’ decisions are influenced by the other agents’ plans, the use of mechanisms becomes relevant for persuading an agent to adopt a certain course of action, or negotiating on the use of scarce resources. Through a dialectical process, agents will discuss the different choices put forward by the others thus reaching a commonly agreed solution plan.

Total Pages: 361-398 (38)

Purchase Chapter  Book Details

RELATED BOOKS

.Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms.
.Arduino and SCILAB based Projects.
.Arduino meets MATLAB: Interfacing, Programs and Simulink.
.Budget Optimization and Allocation: An Evolutionary Computing Based Model.