Modelo y desarrollo de W-planner: sistema multiagente on-line aplicado al turismo electrónico

Main Article Content

Luis F. Castillo
J. F. Corchado
Manuel Bedia

Keywords

agents, multiagent system, wireless solutions, case based reasoning.

Abstract

This paper introduces the “tourist problem” and presents an Multi-agent system based solution for it. A set of agents that uses a case-based reasoning system to identify actions and plans is capable of determining the most suitable itinerary with restrictions for a tourist. Wireless devises are used by the tourists to interact with the agent. Variational Calculus is used during the reasoning process to identify the set of posible problem solutions and Jacobi fields to find the most replanning-able solution. This analytical method facilitates the identification of a tourist itinerary in advance and is also capable of modifying the tourist route in execution time. To conclude, a case of typical use is shown, in which a tourist requests to the W-planner the most appropriate route that fits in well with the requirements.

MSC: 68Wxx, 68Txx

Downloads

Download data is not yet available.
Abstract 684 | PDF (Español) Downloads 397

References

[1] A. Aamodt y E. Plaza Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches, AICOM, Vol. 7, March 1994, 39-59.

[2] Manuel Bedia, Fundamentos Cognitivos para el diseño de arquitecturas de agentes planificadores en contextos dinámicos de acci´on, Phd Tesis, Universidad de Salamanca, Departamento de Informática y Automática, Salamanca España, 2004.

[3] Manuel Bedia y J. M. Corchado, A Planning Strategy Based on Variational Calculus for Deliberative Agents, Computing and Information Systems Journal, Vol. 10, No. 1, ISBN: 1352-9404 (2002), 2-14.

[4] R. Bergmann y W. Wilke Learning Abstract Planning Cases, En N. Lavrac and S. Wrobel (Eds.), Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Greece, April 1995. Number 912 in Lecture Notes in Artificial Intelligence, Berlin, Springer (1995), 55-76.

[5] R. Bergmann y W. Wilke Towards a New Formal Model of Transformational Adaptation in Case-Based Reasoning, European Conference in Artificial Intelligence (ECAI’98), John Wiley and Sons (1998), 224-236.

[6] M. E. Bratman Intentions, Plans and Practical Reason, Harvard University Press, Cambridge, M.A, 1987.

[7] J. M. Corchado y R. Laza Construction of BDI Agents from CBR systems, First German Workshop on Experience Management, Berlin, ISBN 3-88579-340-7, ISN 1617- 5468, Vol. 1, March 2002, 47-60.

[8] Foundation for Intelligent Physical Agents, http://www.fipa.org.

[9] Lightweight Extensible Agent Platform, http://leap.crm-paris.com/.

[10] P. Morse y H. Feshbach Methods of Theoretical Physics, McGraw-Hill, New York, 1953.

[11] J. Odell, V. D. Parunak, B. Bauer. Representing Agent Interactions Protocols, En UML First Internacional Workshop on Agent Oriented Software Engineering (AOSE2000), 2000.

[12] V. D. Odell Parunak y B. Bauer, Extending UML for Agents, Proceedings of the Agent-Oriented Information System Workshop at the 17th Nacional Conference on Artificial Intelligence, 2000.

[13] A. S. Rao y M. P. Georgeff BDI Agents: From Theory to Practice, First International Conference on Multi-Agent Systems (ICMAS-95), San Francisco, USA (1995), 312- 319.

[14] Rao y Georgeff. Modeling rational agents within a BDI-architecture. En J. Allen, R. Fikes, y E. Sandewall, editors, Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning. Morgan Kaufmann Publishers, San Mateo, CA, 1991.

[15] Watson I. y Marir F. Case-Based Reasoning: A Review. Cambridge University Press. The knowledge Engineering Review, 9(3) (1994), 249-293.

[16] M. Wooldridge y N. R. Jennings Agent Theories, Architectures, and Languages: A Survey. Procs. ECAI-94 Workshop on Agent Theories, Architectures, and Languages (1994), 317-361.

[17] M. Wooldrige, N. R. Jennings y D. Kinny. The Gaia Methodology for Agent-Oriented Analysis and Design, Autonomous Agents and Multi-Agent Systems, Vol. 3, Kluwer Academic Publishers, The Netherlands (2000), 285-312.