Engineering Agent Systems for Decision Support

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2577)


This paper discusses how agent technology can be applied to the design of advanced Information Systems for Decision Support. In particular, it describes the different steps and models that are necessary to engineer Decision Support Systems based on a multiagent architecture. The approach is illustrated by a case study in the traffic management domain.


Multiagent System Traffic Demand Traffic Management Variable Message Signal Signal Plan 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Breuker, J.; van de Velde, W. (1994): CommonKADS Library for Expertise Modelling. IOS Press.Google Scholar
  2. [2]
    Brown D.C., Chandrasekaran B. (1989): Design Problem Solving, Morgan Kaufmann.Google Scholar
  3. [3]
    Chandrasekaran B. (1983): Towards a Taxonomy of Problem Solving Types. A.I. Magazine 4 (1), 9–17.Google Scholar
  4. [4]
    Cuena J., Ossowski S. (1999): Distributed Models for Decision Support. In: Wei\ (ed.): Multi-Agent Systems—A Modern Approach to DAI. MIT Press, 459–504.Google Scholar
  5. [5]
    Cuena, J.; Hernández, J.; Molina, M. (1996): Knowledge-Oriented Design of an Application for Real Time Traffic Management. In: Proc. Europ. Conf. on Artificial Intelligence (ECAI-96), Wiley & Sons, 217–245.Google Scholar
  6. [6]
    French, S. (2000): Decision Analysis and Decision Support. John Wiley && Sons.Google Scholar
  7. [7]
    Hernández, J.; Ossowski, S.; García-Serrano, A. (2002): Multiagent Architectures for Intelligent Traffic Management Systems. Transportation Research C, Kluwer.Google Scholar
  8. [8]
    Hernández, J.; Serrano, J. (2000): Environmental Emergency Management Supported by Knowledge Modelling Techniques. AI Communications 14 (1).Google Scholar
  9. [9]
    Iglesias, C.A.; Garijo Ayestarán, M. (1999): UER Technique-Conceptualisation for Agent Oriented Development. In: Proc. Intl. Conf. on IS Analysis and Synthesis (ISAS’99).Google Scholar
  10. [10]
    Iglesias, C.A.; Garijo Ayestarán, M.; González, J.C. (1999): A Survey of Agent-Oriented Methodologies. In: Intelligent Agents V. Springer-Verlag.Google Scholar
  11. [11]
    Jacobson, I.; Booch, G.; Rumbaugh, J. (1999): The Unified Software Development Process. Addison-Wesley.Google Scholar
  12. [12]
    Kinny, D.; Georgeff, M. Rao (1996): A. A methodology and modelling technique for systems of BDI agents. In: Agents Breaking Away, Springer-Verlag.Google Scholar
  13. [13]
    Kirschfink H. (1999) Collective Traffic Control in Motorways. Tutorial at the 11 th EURO-Mini Conference on AI in Transportation Systems and Science. Helsinki.Google Scholar
  14. [14]
    Klein, M.; Methlie, L. (1995): Knowledge-Based Decision Support Systems. John Wiley.Google Scholar
  15. [15]
    Malone, T.; Crowston, K. (1994): The Interdisciplinary Study of Co-ordination. Computing Surveys 26 (1), 87–119.CrossRefGoogle Scholar
  16. [16]
    McDermott J.( 1988): Preliminary Steps Toward a Taxonomy of PSMs. In: Marcus (ed.), Automating Knowledge Acquisition for Expert Systems, Kluwer.Google Scholar
  17. [17]
    Ossowski, S. (1999): Co-ordination in Artificial Agent Societies, Springer-Verlag.Google Scholar
  18. [18]
    Ossowski, S.; Serrano, J.M. (2001): Agent-based Architectures for Advanced Decision Support. In: Proc. Workshop on Intelligent Physical Agents (WAF), URJC.Google Scholar
  19. [19]
    Silver, M. (1991): Systems that Support Decision Makers. John Wiley && Sons.Google Scholar
  20. [20]
    Vlahavas, I. et al (2002): An Intelligent Multiagent System for WAN Management. IEEE Intelligence Systems 17(1), 62–72.CrossRefGoogle Scholar
  21. [21]
    Wooldridge, M.; Jennings, N.; Kinny, D. (2000): The Gaia Methodology for Agent-oriented Analysis and Design. Autonomous Agents and Multiagent Systems 3(3). Kluwer Academic Publishers, 285–312.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  1. 1.AI GroupUniversity Rey Juan CarlosMadrid
  2. 2.AI Dpt.Tech. University of MadridMadrid
  3. 3.Technical Innovation Dpt.Germinus XXIMadrid

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