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Modeling Agents and Their Environment

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Part of the book series: Lecture Notes in Computer Science ((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.

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References

  • Brown, John Seely, “Where Have All the Computers Gone?,” Technology Review, 104:1, February 2001, 2001, pp. 86–87.

    Google Scholar 

  • Buderi, Robert (2001) “Computing Goes Everywhere,”, 104:1, Technology Review, pp. 53–59.

    Google Scholar 

  • Castelfranchi, Cristiano (1998) “Modeling Social Action for AI Agents,”, 103:1-2, Artificial Intelligence, pp. 157–182.

    Article  MATH  Google Scholar 

  • Castelfranchi, Cristiano (2000) “Engineering Social Order,” Engineering Societies in the Agent World, Springer, pp. 1–18.

    Google Scholar 

  • FIPA (1998) Foundation for Intelligent Physical Agents FIPA98 Agent Management Specification, Geneva, Switzerland, Oct. 1998. (http://www.fipa.org)

  • 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 

  • 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 

  • 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 

  • 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 

  • Parunak, H. Van Dyke (1997) “‘Go to the Ant’: Engineering Principles from Natural Agent Systems,” Annals of Operations Research, volume 75, pp. 69–101.

    Article  MATH  Google Scholar 

  • 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 

  • 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 

  • Pfeifer, Rolf and Christian Scheier (1999) Understanding Intelligence, MIT Press, Cambridge, MA.

    Google Scholar 

  • Russell, Stuart and Peter Norvig (1995) Artificial Intelligence: A Modern Approach, Prentice-Hall, NJ.

    MATH  Google Scholar 

  • Sims, Karl (1994a) “Evolving Virtual Creatures,” Siggraph Proceedings, July 1994, pp. 15–22.

    Google Scholar 

  • 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 

  • Want, Roy and Bill Schilit (2001), “Expanding the Horizens of Location-Aware Computing,” IEEE Computer, August 2001, pp. 31–34.

    Google Scholar 

  • Weiss, Gerhard, ed. (1999) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT Press, Cambridge, MA.

    Google Scholar 

  • Wilson, Edward O. (1975) Sociobiology, (abridged edition), Belknap Press, Cambridge, MA

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Odell, J.J., Van Dyke Parunak, H., Fleischer, M., Brueckner, S. (2003). Modeling Agents and Their Environment. In: Giunchiglia, F., Odell, J., Weiß, G. (eds) Agent-Oriented Software Engineering III. AOSE 2002. Lecture Notes in Computer Science, vol 2585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36540-0_2

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  • DOI: https://doi.org/10.1007/3-540-36540-0_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00713-5

  • Online ISBN: 978-3-540-36540-2

  • eBook Packages: Springer Book Archive

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