Learning policies through argumentation-derived evidence (extended abstract)

Chukwuemeka D Emele; Timothy J Norman; Frank Guerin; Simon Parsons

Learning policies through argumentation-derived evidence (extended abstract)

Chukwuemeka D Emele, Timothy J Norman, Frank Guerin, Simon Parsons

Computing Science

City University of New York

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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Abstract

We present an efficient approach for identifying, learning and modeling the policies of others during collaborative activities. In a set of experiments, we demonstrate that more accurate models of others' policies (or norms) can be developed more rapidly using various forms of evidence from argumentation-based dialogue.

Original language	English
Title of host publication	Proceedings of the 9th Internatinal Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010)
Editors	Wiebe van der Hoek, Gal Kaminka, Michael Luck, Sandip Sen
Publisher	International Foundation for Autonomous Agents and Multiagent Systems
Number of pages	2
ISBN (Electronic)	0982657100, 9780982657119
Publication status	Published - 5 Oct 2010
Event	Ninth International Joint Conference on Autonomous Agents and Multiagent Systems - Toronto, Canada Duration: 10 May 2010 → 10 May 2010

Conference

Conference	Ninth International Joint Conference on Autonomous Agents and Multiagent Systems
Country/Territory	Canada
City	Toronto
Period	10/05/10 → 10/05/10

Bibliographical note

(c) IFAAMAS

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AAMAS2010 0504 40e040e8cFinal published version, 111 KB

http://www.ifaamas.org/Proceedings/aamas2010/pdf/02%20Extended%20Abstracts/Blue/B-53.pdf

Cite this

Emele, C. D., Norman, T. J., Guerin, F., & Parsons, S. (2010). Learning policies through argumentation-derived evidence (extended abstract). In W. van der Hoek, G. Kaminka, M. Luck, & S. Sen (Eds.), Proceedings of the 9th Internatinal Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010) International Foundation for Autonomous Agents and Multiagent Systems. http://www.ifaamas.org/Proceedings/aamas2010/pdf/02%20Extended%20Abstracts/Blue/B-53.pdf

Learning policies through argumentation-derived evidence (extended abstract). / Emele, Chukwuemeka D; Norman, Timothy J; Guerin, Frank et al.
Proceedings of the 9th Internatinal Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010). ed. / Wiebe van der Hoek; Gal Kaminka; Michael Luck; Sandip Sen. International Foundation for Autonomous Agents and Multiagent Systems, 2010.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Emele, CD, Norman, TJ, Guerin, F & Parsons, S 2010, Learning policies through argumentation-derived evidence (extended abstract). in W van der Hoek, G Kaminka, M Luck & S Sen (eds), Proceedings of the 9th Internatinal Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010). International Foundation for Autonomous Agents and Multiagent Systems, Ninth International Joint Conference on Autonomous Agents and Multiagent Systems, Toronto, Canada, 10/05/10. <http://www.ifaamas.org/Proceedings/aamas2010/pdf/02%20Extended%20Abstracts/Blue/B-53.pdf>

Emele, Chukwuemeka D ; Norman, Timothy J ; Guerin, Frank et al. / Learning policies through argumentation-derived evidence (extended abstract). Proceedings of the 9th Internatinal Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010). editor / Wiebe van der Hoek ; Gal Kaminka ; Michael Luck ; Sandip Sen. International Foundation for Autonomous Agents and Multiagent Systems, 2010.

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M3 - Published conference contribution

BT - Proceedings of the 9th Internatinal Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010)

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Learning policies through argumentation-derived evidence (extended abstract)

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Conference

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