Abstract
The chapter presents a Distributed Expert System based on a multi-agent-architecture. The system is composed of a community of intelligent conversational agents playing the role of specialized advisors for the government of a virtual town, inspired to the SimCity game. The agents are capable to handle strategic decision under uncertainty conditions. They interact in natural language with their owners, obtain information on the current status of the town and give suggestions about the best strategies to apply in order to govern the town.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Power, D.J.: A brief history of decision support systems. DSSResources.COM (2003)
Klein, M.R., Methlie, L.B.: Knowledge-Based Decision Support Systems: with Applications in Business, 2nd edn. John Wiley and Sons, Inc., Chichester (1995)
Marakas, G.M.: Decision Support Systems in the Twenty-First Century. Prentice-Hall, Inc., Englewood Cliffs (1999)
Turban, E.: Decision Support and Expert Systems: Management Support Systems, 3rd edn. Prentice Hall PTR, Englewood Cliffs (1993)
Sycara, K.P.: Multiagent systems. AI Magazine 19(2), 79–92 (1998)
Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. Knowledge Eng. Rev. 10(2), 115–152 (1995)
Weiss, G.: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999); Within the agent oriented abstraction. In: Proc. International Conference on Cyberworlds (CW 2004), pp. 224–231. IEEE Computer Society, Los Alamitos (2004)
Wooldridge, M.: Intelligent agents. In: Gerhard, W. (ed.) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. ch. 1, pp. 27–78. The MIT Press, Cambridge (1999)
Hendler, J.: Agents and the semantic web. IEEE Intelligent Systems 21(2), 30–37 (2001)
Yang, Y., Calmet, J.: From the OntoBayes Model to a Service Oriented Decision Support System. In: International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA 2006), p. 127 (2006)
Houari, N., Far, B.H.: Intelligent Agents based Architecture for Distributed Decision Support to Manage Projects Lifecycle Proceedings of ATS (2003)
Lesser, V.R., Erman, L.D.: Distributed Interpretation: A Model and Experiment. IEEE Transactions on Computers C-29(12), 1144–1163 (1980)
Chen, S.-H.: Software-Agent Designs in Economics: An Interdisciplinary [Research Frontier]. Computational Intelligence Magazine 3(4), 18–22 (2008)
Olsen, R.: Computational Finance as a Driver of Economics [Developmental tools]. Computational Intelligence Magazine 3(4), 35–38 (2008)
Rice, A.J., McDonnell, J.R., Spydell, A., Stremler, S.: A Player for Tactical Air Strike Games Using Evolutionary Computation. In: IEEE Symposium on Computational Intelligence and Games, pp. 83–89 (May 2006)
Chen, S.: Editorial: Computationally intelligent agents in economics and finance. Inf. Sci. 177(5), 1153–1168 (2007), http://dx.doi.org/10.1016/j.ins.2006.08.001
Tseng, C.-C.: Influence diagram for investment portfolio selection. In: Proceedings of 7th Joint Conference on Information Sciences, pp. 1171–1174 (2003)
Global Economics Game, http://www.worldgameofeconomics.com/
Kim, K.-M., Hong, J.-H., Cho, S.-B.: A semantic Bayesian network approach to retrieving information with intelligent conversational agents. Information Processing and Management 43, 225–236 (2007)
Symeonidis, A.L., Chatzidimitriou, K.C., Athanasiadis, I.N., Mitkas, P.A.: Data mining for agent reasoning: A synergy for training intelligent agents. Engineering Applications of Artificial Intelligence 20(8), 1097–1111 (2007) ISSN 0952-1976, doi:10.1016/j.engappai.2007.02.009
da Silva, J.C., Giannella, C., Bhargava, R., Kargupta, H., Klusch, M.: Distributed data mining and agents. Engineering Applications of Artificial Intelligence 18(7), 791–807 (2005) ISSN 0952-1976, doi:10.1016/j.engappai.2005.06.004
Cao, L., Zhang, C.: F-trade: an agent-mining symbiont for financial services. In: Proceedings of the 6th international Joint Conference on Autonomous Agents and Multiagent Systems AAMAS 2007, Honolulu, Hawaii, May 14-18, pp. 1–2. ACM, New York (2007), http://doi.acm.org/10.1145/1329125.1329443
GeNIe environment for decision-theoretic model, http://genie.sis.pitt.edu/
Alice Chatbot, http://www.alicebot.org
Jensen, F.B., Graven-Nielsen, T.: Bayesian Networks and Decision Graphs Series: Information Science and Statistics, 2nd edn., vol. XVI, p. 448 (2007) ISBN: 978-0-387-68281-5
Eugster, P.T., Felber, P.A., Guerraoui, R., Kermarrec, A.: The many faces of publish/subscribe. ACM Comput. Surv. 35(2), 114–131 (2003), http://doi.acm.org/10.1145/857076.857078
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Augello, A., Pilato, G., Gaglio, S. (2010). Intelligent Advisor Agents in Distributed Environments. In: Soro, A., Vargiu, E., Armano, G., Paddeu, G. (eds) Information Retrieval and Mining in Distributed Environments. Studies in Computational Intelligence, vol 324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16089-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-16089-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16088-2
Online ISBN: 978-3-642-16089-9
eBook Packages: EngineeringEngineering (R0)