Abstract
This paper presents a multiagent recommendation system (RecMAS) able to coordinate the interactions between a user agent (AgUser) and a set of commercial agents (AgComs) providing a useful service for monitoring changes in the AgUser’s beliefs and decisions based on two parameters: (i) the strength of its own beliefs and (ii) the strength of the AgComs’ suggestions. The system was used to test several commercial activities in a shopping centre where the AgComs (AgComs) provided information to an AgUser operating in a wireless device (PDA, mobile phone, etc.) used by a client. The AgUser received messages adapted for conditions of particular offers of interest to the client. Using a theoretical model and a set of simulation experiments, commercial strategies in relation with the socio-dynamics of the system were obtained. This paper concludes with a presentation of a prototype in a real shopping centre.
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References
Durfee, E.H.: Designing Organizations for Computational Agents. In: Prietula, M., Carley, K., Gasser, L. (eds.) Simulating Organizations: Computational Models of Institutions and Groups. AAAI Press and MIT Press, Menlo Park, CA (1998)
Gilbert, N., Doran, J. (eds.): Simulating Societies: The computer simulation of Social processes. University College, Londos (1994)
Helbing, D.: Quantitatuve Sociodynamics, Stochastic Methods and Models of Social Interaction Processes. Kluwer Academic, Dordrecht (1995)
Weidlich, W.: Physics and social science - The approach of synergetics. Phys. Rep. 204, 1–163 (1991)
Weidlich, W.: Synergetic modelling concepts for sociodynamics with application to collective political opinion formation. J. Math. Sociol. 18, 267–291 (1994)
Epstein, J.M., Axtell, R.: Growing Artificial Societies: Social Science from the Bottom Up. MIT Press/Brookings Institution Press (1996)
Koch, F., John-Jules, M., Frank, D., Iyad, R.: Programming Deliberative Agents for Mobile Services: the 3APL-M Platform. In: Bordini, R.H., Dastani, M., Dix, J., El Fallah Seghrouchni, A. (eds.) PROMAS 2005. LNCS, vol. 3862, pp. 222–235. Springer, Heidelberg (2006)
Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and Multi-Agent Systems 15 (2000)
Berhard Bauer, J.P.M., Odell, J.: Agent Uml: A Formalism For Specifying Multiagent Interaction. In: Luck, M., Padgham, L. (eds.) Agent-Oriented Software Engineering VIII. LNCS, vol. 4951, pp. 91–103. Springer, Heidelberg (2008)
JBAN Library, https://jban.dev.java.net/
Corchado, J.M., Gonzalez-Bedia, M., De Paz, Y., Bajo, J., De Paz, J.F.: Replanning mechanism for deliberative agents in dynamic changing environments. Computational Intelligence, Pág 24(2), 77–107 (2008)
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Castillo, L.F., Bedia, M.G., Uribe, A.L. (2009). RecMas: A Multiagent System Socioconfiguration Recommendations Tool. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds) Hybrid Artificial Intelligence Systems. HAIS 2009. Lecture Notes in Computer Science(), vol 5572. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02319-4_60
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DOI: https://doi.org/10.1007/978-3-642-02319-4_60
Publisher Name: Springer, Berlin, Heidelberg
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