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Tytuł artykułu

An Investigation of Multi-Agent Planning in CLP

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Języki publikacji
EN
Abstrakty
EN
This paper explores the use of Constraint Logic Programming (CLP) as a platform for experimenting with planning problems in the presence of multiple interacting agents. The paper develops a novel constraint-based action language, BMAP, that enables the declarative description of large classes of multi-agent and multi-valued domains. BMAP supports several complex features, including combined effects of concurrent and interacting actions, concurrency control, and delayed effects. The paper presents a mapping of BMAP theories to CLP and it demonstrates the effectiveness of an implementation in SICStus Prolog on several benchmark problems. The effort is an evolution of previous research on using CLP for single-agent domains, demonstrating the flexibility of CLP technology to handle the more complex issues of multi-agency and concurrency.
Wydawca
Rocznik
Strony
79--103
Opis fizyczny
Bibliogr. 36 poz.
Twórcy
autor
autor
autor
  • Dipartimento di Matematica e Informatica, Universita di Udine, Via delle Scienze 206, 33100 Udine, Italy, dovier@dimi.uniud.it
Bibliografia
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  • [2] Baral, C.: Knowledge representation, reasoning and declarative problem solving, Cambridge University Press, 2003.
  • [3] Baral, C., Gelfond, M.: Reasoning About Effects of Concurrent Actions, Journal of Logic Programming, 31(1-3), 1997, 85-117.
  • [4] Baral, C., Son, T., Tuan, L.-C.: A Transition Function Based Characterization of Actions with Delayed and Continuous Effects, in: KR2002: Principles of Knowledge Representation and Reasoning (D. Fensel, F. Giunchiglia, D. L. McGuinness, M.-A. Williams, Eds.), Morgan Kaufmann, 2002, 291-302.
  • [5] Bartak, R., Toropila, D.: Reformulating Constraint Models for Classical Planning, in: FLAIRS'08: Twenty-First International Florida Artificial Intelligence Research Society Conference (D.Wilson, H. C. Lane, Eds.), AAAI Press, 2008, 525-530.
  • [6] Boutilier, C., Brafman, R.: Partial order planning with concurrent interacting actions, Journal of Artificial Intelligence Research, 14, 2001, 105-136.
  • [7] Brenner, M.: From Individual Perceptions to Coordinated Execution, in: ICAPS'05 workshop on Multiagent Planning and Scheduling (B. J. Clement, Ed.), 2005, 80-88.
  • [8] Chesani, F., Mello, P., Montali, M., Torroni, P.: Commitment tracking via the reactive event calculus, in: IJCAI'09: Proceedings of the 21st International Joint Conference on Artificial Intelligence (C. Boutilier, Ed.), AAAI Press, 2009, 91-96.
  • [9] Chintabathina, S., Gelfond, M.,Watson, R.: Defeasible laws, parallel actions, and reasoning about resources, in: CommonSense'07: Logical Formalizations of Commonsense Reasoning: papers from the AAAI Spring Symposium (E. Amir, V. Lifschitz, R. Miller, Eds.), AAAI Press, 2007, 35-40.
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  • [11] Dal Palu, A., Torroni, P.: 25 Years of Applications of Logic Programming, in: A 25 Year Perspective on Logic Programming (A. Dovier, E. Pontelli, Eds.), vol. 6125 of Lecture Notes in Computer Science, chapter 14, Springer-Verlag, 2010, 298-325.
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  • [13] Dovier, A., Formisano, A., Pontelli, E.: Representing Multi-Agent Planning in CLP, in: LPNMR 2009 (E. Erdem, F. Lin, T. Schaub, Eds.), vol. 5753 of Lecture Notes in Computer Science, Springer, 2009, 423-429.
  • [14] Dovier, A., Formisano, A., Pontelli, E.: Multivalued Action Languages with Constraints in CLP(FD), Theory and Practice of Logic Programming, 10(2), 2010, 167-235.
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  • [18] Gerevini, A., Long, D.: Plan Constraints and Preferences in PDDL3, Technical Report RT 2005-08-47, University of Brescia, 2005.
  • [19] Giunchiglia, E., Lee, J., Lifschitz, V., McCain, N., Turner, H.: Nonmonotonic Causal Theories, Artificial Intelligence, 153(5-6), 2004, 49-104.
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  • [22] Kakas, A., Mancarella, P., Sadri, F., Stathis, K., Toni, F.: Computational Logic Foundations of KGP Agents, Journal of Artificial Intelligence Research, 33, 2008, 285-348.
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  • [29] Sauro, L., Gerbrandy, J., van der Hoek, W., Wooldridge, M.: Reasoning about Action and Cooperation, in: AAMAS'06: Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (H. Nakashima, M. P. Wellman, G. Weiss, P. Stone, Eds.), ACM, 2006, 185-192.
  • [30] Son, T., Baral, C., McIlraith, S. A.: Planning with Different Forms of Domain-Dependent Control Knowledge - An Answer Set Programming Approach, in: LPNMR'01: Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning (T. Eiter, W. Faber, M. Truszczyński, Eds.), vol. 2173 of Lecture Notes in Computer Science, Springer, 2001, 226-239.
  • [31] Son, T., Pontelli, E., Sakama, C.: Logic programming for multi-agent planning with negotiation, in: ICLP'09: Proceedings of the 25st International Conference on Logic Programming (P. M. Hill, D. S.Warren, Eds.), vol. 5649 of Lecture Notes in Computer Science, Springer, 2009, 99-114.
  • [32] Son, T., Sakama, C.: Reasoning and Planning with Cooperative Actions for Multiagents Using Answer Set Programming, in: DALT'09: Proceedings of the 7th InternationalWorkshop on Declarative Agent Languages and Technologies (M. Baldoni, J. Bentahar, M. B. van Riemsdijk, J. Lloyd, Eds.), vol. 5948 of Lecture Notes in Computer Science, Springer, 2009, 208-227.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS8-0011-0041
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