Argumentation strategies for plan resourcing

Chukwuemeka David Emele, Timothy J Norman, Simon Parsons

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)
8 Downloads (Pure)

Abstract

What do I need to say to convince you to do something? This is an important question for an autonomous agent deciding whom to approach for a resource or for an action to be done. Were similar requests granted from similar agents in similar circumstances? What arguments were most persuasive? What are the costs involved in putting certain arguments forward? In this paper we present an agent decision-making mechanism where models of other agents are rened through evidence from past dialogues, and where these models are used to guide future argumentation strategy. We empirically evaluate our approach to demonstrate that decision-theoretic and machine learning techniques can both signicantly improve the cumulative utility of dialogical outcomes, and help to reduce communication overhead.
Original languageEnglish
Title of host publicationProceedings of the Tenth International Conference on Autonomous Agents and Multiagent Systems
Place of PublicationRichland, SC
PublisherIFAAMAS
Pages913-920
Number of pages8
Volume3
ISBN (Print)0-9826571-7-X, 978-0-9826571-7-1
Publication statusPublished - 2011
EventAAMAS'11 The Tenth International Conference on Autonomous Agents and Multiagent Systems - Taipei, Taiwan, Province of China
Duration: 2 May 20116 May 2011

Conference

ConferenceAAMAS'11 The Tenth International Conference on Autonomous Agents and Multiagent Systems
CountryTaiwan, Province of China
CityTaipei
Period2/05/116/05/11

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  • Cite this

    Emele, C. D., Norman, T. J., & Parsons, S. (2011). Argumentation strategies for plan resourcing. In Proceedings of the Tenth International Conference on Autonomous Agents and Multiagent Systems (Vol. 3, pp. 913-920). IFAAMAS.