Abstract
Since voluntary organizational decisions are most likely made by self-interested parties, organizational decisions in an economic market are subject to explanation by (at least) two different fields of study: organizational theory and microeconomics. This paper describes initial work on economic modeling, including the modeling of voluntary organizational contracts, of a set of business entities set in the market context of the food court at an upscale suburban mall, the Virtual Food Court. DECAF is an multi-agent toolkit that provides this effort with a GUI to easily establish the control mechanisms needed to express exchanges between participants and the operatingsy stem features to perform the message sendinga nd receivingtha t models the actual transactions. DECAF provides high-level language support and pre-built middle-agents for buildingm ulti-agent systems. This approach helps researchers or students get to the “interesting” parts of a simulation more quickly.
This work was supported by the National Science Foundation under grant IIS-9733004.
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K. S. Decker, K. Sycara, and M. Williamson. Middle‐agents for the internet. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pages 578–583, Nagoya, Japan, August 1997. 72, 75
Keith S. Decker and Victor R. Lesser. Quantitative modeling of complex computational task environments. In Proceedings of the Eleventh National Conference on Artificial Intelligence, pages 217–224, Washington, July 1993. 72
Keith S. Decker and Katia Sycara. Intelligent adaptive information agents. Journal of Intelligent Information Systems, 9(3):239–260, 1997. 72
Elihu M. Gerson. On ‘quality of life’. American Sociological Review, 41:793–806, 1976. 69
J. Graham and K. S. Decker. Towards a distributed, environment-centered agent framework. In Proceedings of the 1999 Intl. Workshop on Agent Theories, Architectures, and Languages (ATAL-99), pages 162–175, 1999. 68
H. Mintzberg. The Structuring of Organizations. The Free Press, New York, 1979.
Charles Perrow. Complex Organizations. Random House, New York, 1986. 69
Charles J. Petrie. Agent-based engineering, the web, and intelligence. IEEE Expert, December 1996.
A. S. Rao and M. P. Georgeff. BDI agents: From theory to practice. In Proceedings of the First International Conference on Multi-Agent Systems, pages 312–319, San Francisco, June 1995. AAAI Press. 73, 74
Stuart Russell and Eric Wefald. Do the Right Thing: Studies in Limited Rationality. MIT Press, Cambridge, MA, 1991. 74
R. Simmons, R. Goodwin, K. Haigh, S. Koenig, and J O’sullivan. A layered architecture for office delivery robots. In Proceedings of the 1st Intl. Conf. on Autonomous Agents, pages 245–252, Marina del Rey, February 1997. 74
Arthur L. Stinchcombe. Information and Organizations. University of California Press, Berkeley, CA, 1990. 71
T. Wagner, A. Garvey, and V. Lesser. Complex goal criteria and its application in design-to-criteria scheduling. In Proceedings of the Fourteenth National Conference on Artificial Intelligence, Providence, July 1997. 72, 74
Oliver E. Williamson. Markets and Hierarchies: Analysis and Antitrust Implications. The Free Press, New York, 1975.
Oliver E. Williamson. The Mechanisms of Governance. Oxford University Press, New York, 1996.
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McGeary, F., Decker, K. (2000). Modeling a Virtual Food Court Using DECAF. In: Moss, S., Davidsson, P. (eds) Multi-Agent-Based Simulation. MABS 2000. Lecture Notes in Computer Science(), vol 1979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44561-7_5
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DOI: https://doi.org/10.1007/3-540-44561-7_5
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