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Modeling Agents and Their Environment

  • James J. Odell
  • H. Van Dyke Parunak
  • Mitch Fleischer
  • Sven Brueckner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2585)

Abstract

Without an environment, an agent is effectively useless. Cut off from the rest of its world, the agent can neither sense nor act. An environment provides the conditions under which an entity (agent or object) can exist. It defines the properties of the world in which an agent will function. Designing effective agents requires careful consideration of both the physical and communicational aspects of their environment.

Keywords

Modeling Agent Communication Environment Social Unit Agent Platform Agent Communication Language 
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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References

  1. Brown, John Seely, “Where Have All the Computers Gone?,” Technology Review, 104:1, February 2001, 2001, pp. 86–87.Google Scholar
  2. Buderi, Robert (2001) “Computing Goes Everywhere,”, 104:1, Technology Review, pp. 53–59.Google Scholar
  3. Castelfranchi, Cristiano (1998) “Modeling Social Action for AI Agents,”, 103:1-2, Artificial Intelligence, pp. 157–182.zbMATHCrossRefGoogle Scholar
  4. Castelfranchi, Cristiano (2000) “Engineering Social Order,” Engineering Societies in the Agent World, Springer, pp. 1–18.Google Scholar
  5. FIPA (1998) Foundation for Intelligent Physical Agents FIPA98 Agent Management Specification, Geneva, Switzerland, Oct. 1998. (http://www.fipa.org)
  6. Genilloud, Guy (1997) “Flexible Translation for Integrating CORBA and OSI,” Proceedings of Distributed Object Computing in Telecommunications (DOCT 97), Object World, Frankfurt, Germany.Google Scholar
  7. ISO (1994) ISO/IEC and ITU-T, “Information Processing Systems, OSI Reference Model: The Basic Model,” Standard 7498-1, Recommendation X.200, 1994.Google Scholar
  8. Odell, James, H. Van Dyke Parunak, and Bernhard Bauer (2000a) “Representing Agent Interaction Protocols in UML,” First International Workshop on Agent-Oriented Software Engineering 2000, Paolo Ciancarini and Michael Wooldridge, eds., pp. 58–65.Google Scholar
  9. Odell, James, H. Van Dyke Parunak, and Bernhard Bauer (2000b) “Extending UML for Agents,” Proc. of the Agent-Oriented Information Systems Workshop at the 17th National Conference on Artificial Intelligence, Gerd Wagner, Yves Lesperance, and Eric Yu, eds.,Austin, TX, pp. 3–17.Google Scholar
  10. Parunak, H. Van Dyke (1997) “‘Go to the Ant’: Engineering Principles from Natural Agent Systems,” Annals of Operations Research, volume 75, pp. 69–101.zbMATHCrossRefGoogle Scholar
  11. Paranak, H. Van Dyke and James Odell (2001a) “Representing Social Structure using UML,” Proc. of the Agent-Oriented Software Engineering Workshop, Agents 2001 conference, Paolo Ciancarini Michael Wooldridge, and Gerhard Weiss eds., Agents 2001conference, Montreal, Canada, Springer.Google Scholar
  12. Parunak, H. V. D., S. A. Brueckner, J. Sauter, and J. Posdamer [2001b] Mechanisms and Military Applications for Synthetic Pheromones. In Proceedings of Workshop on Autonomy Oriented Computation, 2001.Google Scholar
  13. Pfeifer, Rolf and Christian Scheier (1999) Understanding Intelligence, MIT Press, Cambridge, MA.Google Scholar
  14. Russell, Stuart and Peter Norvig (1995) Artificial Intelligence: A Modern Approach, Prentice-Hall, NJ.zbMATHGoogle Scholar
  15. Sims, Karl (1994a) “Evolving Virtual Creatures,” Siggraph Proceedings, July 1994, pp. 15–22.Google Scholar
  16. Sims, Karl (1994b) “Evolving 3D Morphology and Behavior by Competition,” Artificial Life I. Proceedings, R. A. Brooks and P. Maes, eds., MIT Press, Cambridge, MA, pp. 28–39.Google Scholar
  17. Want, Roy and Bill Schilit (2001), “Expanding the Horizens of Location-Aware Computing,” IEEE Computer, August 2001, pp. 31–34.Google Scholar
  18. Weiss, Gerhard, ed. (1999) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT Press, Cambridge, MA.Google Scholar
  19. Wilson, Edward O. (1975) Sociobiology, (abridged edition), Belknap Press, Cambridge, MAGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • James J. Odell
    • 1
  • H. Van Dyke Parunak
    • 2
  • Mitch Fleischer
    • 2
  • Sven Brueckner
    • 2
  1. 1.James Odell AssociatesAnn ArborUSA
  2. 2.AltarumAnn ArborUSA

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