Argumentation and Planning

The Defeasible Logic Programming - Multi-Agent Planning (DeLP-MAP) is a general-purpose tool that integrates multi-agent defeasible argumentation in collaborative multi-agent planning.

Planning agents incorporate an embedded Partial Order Planning system, modified to compute partial solutions instead of complete plans. Agents have diverse abilities, and use an argumentation-based defeasible reasoning to support their own beliefs and refute the beliefs of the others according to their knowledge during the collaborative plan search process.

Planning tasks are described in a PDDL3.1-based MAP language with some extensions to support beliefs and partial information. The user should provide a domain and problem file per agent, describing the information managed by the agent.

Relevant papers:

Sergio Pajares Ferrando, Eva Onaindia
Context-aware Multi-agent planning in Intelligent Environments
Information Sciences, Vol. 227, pp. 22-42, 2013.

Sergio Pajares Ferrando, Eva Onaindia
Defeasible Argumentation for Multi-Agent Planning in Ambient Intelligence Applications
11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), Vol. 1, pp. 509-516, (2012)

Pere Pardo, Sergio Pajares, Eva Onaindia, Lluis Godo, Pilar Dellunde
Cooperative Dialogues for Defeasible Argumentation-based Planning
P. McBurney, S. Parsons and I. Rahwan (Editors): "Argumentation in Multi-Agent Systems".
8th International Workshop, ArgMAS 2011. Taipei, Taiwan, May 2011.
Revised, Selected and Invited Papers. Lecture Notes in Computer Science, Vol. 7543, pp. 174-193, (2012)

Sergio Pajares, Eva Onaindia, Alejandro Torreño
An architecture for Defeasible-Reasoning-based Cooperative Distributed Planning
19th International Conference on Cooperative Information Systems (CoopIS 2011), Vol. 1, pp. 200-217, (2011)

Pere Pardo, Sergio Pajares, Eva Onaindia, Lluis Godo, Pilar Dellunde
Multiagent Argumentation for Cooperative Planning in DeLP-POP
10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 971-978, (2011)

Sergio Pajares, Eva Onaindia
Temporal Defeasible Argumentation in Multi-Agent Planning
22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 2834-2835, (2011)