Market-based Task Allocation for Dynamic Information Processing Environments

Publication Type

Conference Proceeding Article

Publication Date

10-2003

Abstract

Flexible and large-scale information processing across enterprises entails dynamic and decentralized control of workflow through adaptive allocation of knowledge and processing resources. Markets comprise a well-understood class of mechanisms for decentralized resource allocation, where agents interacting through a price system direct resources toward their most valued uses as indicated by these prices. The information-processing domain presents several challenges for market-based approaches, including (1) representing knowledge-intensive tasks and capabilities, (2) propagating price signals across multiple levels of information processing, (3) handling dynamic task arrival and changing priorities, and (4) accommodating the increasing-returns and public-good characteristics of information products. A market gaming environment provides a methodology for testing alternative market structures and agent strategies, and evaluating proposed solutions in a realistic decentralized manner.

Keywords

decentralized resource allocation, dynamic processing environments, information products, knowledge-intensive tasks, large-scale information processing, market gaming environment, market-based task allocation, price signals propagation

Discipline

Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering

Publication

International Conference on Integration of Knowledge Intensive Multi-Agent Systems : KIMAS '03 : September 30-October 4, 2003, Cambridge, MA

First Page

109

Last Page

114

ISBN

9780780379589

Identifier

10.1109/KIMAS.2003.1245031

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

http://dx.doi.org/10.1109/KIMAS.2003.1245031

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