The theory and experiments of designing cooperative intelligent systems

Parag C. Pendharkar

doi:10.1016/j.dss.2005.05.028

The theory and experiments of designing cooperative intelligent systems

Parag C. Pendharkar

School of Business Administration (Harrisburg)

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

In this paper, we identify the business problems that lend themselves to the design of cooperative intelligent systems and empirically demonstrate the design and application of a multi-agent intelligent system for production scheduling. Our experiments suggest that a multi-agent system where agents coordinate their actions generally performs better than a multi-agent system where agents do not coordinate their actions.

Original language	English (US)
Pages (from-to)	1014-1030
Number of pages	17
Journal	Decision Support Systems
Volume	43
Issue number	3
DOIs	https://doi.org/10.1016/j.dss.2005.05.028
State	Published - Apr 2007

All Science Journal Classification (ASJC) codes

Management Information Systems
Information Systems
Developmental and Educational Psychology
Arts and Humanities (miscellaneous)
Information Systems and Management

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10.1016/j.dss.2005.05.028

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The theory and experiments of designing cooperative intelligent systems

Abstract

All Science Journal Classification (ASJC) codes

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