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.
Keywords: Multi-agent Systems, Argumentation, Planning, Multi-agent Planning, Coordination, Argument schemes, Dialectical trees, Intelligent Agents, Computational Argumentation, Argumentation-based Negotiation.
Related Journals
Related Books
Computational Intelligence For Data Analysis
Machine Learning and Its Application: A Quick Guide for Beginners
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
A First Course in Artificial Intelligence
Artificial Intelligence: Models, Algorithms and Applications
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Ad Hoc and Sensor Wireless Networks: Architectures, Algorithms and Protocols
Applications of Modern High Performance Networks
Arduino Meets Matlab: Interfacing, Programs and Simulink