Argumentation strategies for plan resourcing

10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011

Volumn 2, Issue , 2011, Pages 857-864

  Emele, Chukwuemeka D ^a   Norman, Timothy J ^a   Parsons, Simon ^b  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Argumentation; Decision theory; Machine learning; Policies

Indexed keywords

DECISION MAKING; DECISION THEORY; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; PUBLIC POLICY;

ARGUMENTATION; ARGUMENTATION STRATEGIES; COMMUNICATION OVERHEADS; DECISION-MAKING MECHANISMS; DECISION-THEORETIC; MACHINE LEARNING TECHNIQUES; PLAN RESOURCING;

AUTONOMOUS AGENTS;

EID: 84899418471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. C. D. Emele, T. J. Norman, F. Guerin, and S. Parsons. On the benefit of argumentation-derived evidence in learning policies. In Proc. of the 3rd Intl. Workshop on Argumentation in Multi-Agent Systems, Toronto, Canada, 2010.
2. M. Finger, G. C. Bezerra, and D. R. Conde. Resource use pattern analysis for predicting resource availability in opportunistic grids. Concurr. Comput.: Pract. Exper., 22(3):295-313, 2010.
3. B. Grosz and S. Kraus. Collaborative plans for group activities. In Proc. of the 13th Intl. Joint Conf. on Artificial Intelligence, pages 367-373, San Francisco, CA, USA, 1993. Morgan Kaufmann Publishers Inc.
4. P. McBurney and S. Parsons. Games that agents play: A formal framework for dialogues between autonomous agents. Journal of Logic, Language and Information, 12(2):315-334, 2002.
5. T. M. Mitchell. Machine Learning. McGraw Hill, 1997.
6. M. Mozina, J. Zabkar, and I. Bratko. Argument based machine learning. Artificial Intelligence, 171(10-15):922-937, 2007.
7. N. Oren, T. J. Norman, and A. Preece. Loose lips sink ships: A heuristic for argumentation. In Proc. of the 3rd Int'l Workshop on Argumentation in Multi-Agent Systems (ArgMAS 2006), pages 121-134, 2006.
8. M. Sensoy, J. Zhang, P. Yolum, and R. Cohen. Context-aware service selection under deception. Computational Intelligence, 25(4):335-364, 2009.
9. K. Sycara, T. J. Norman, J. A. Giampapa, M. J. Kollingbaum, C. Burnett, D. Masato, M. McCallum, and M. H. Strub. Agent support for policy-driven collaborative mission planning. The Computer Journal, 53(1):528-540, 2009.
10. I. H. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, San Francisco, 2nd edition, 2005.