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

Access to Document

10.1016/j.dss.2005.05.028

Cite this

@article{fe42728ead0248d5b6fbb27bb69a987d,

title = "The theory and experiments of designing cooperative intelligent systems",

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.",

author = "Pendharkar, \{Parag C.\}",

year = "2007",

month = apr,

doi = "10.1016/j.dss.2005.05.028",

language = "English (US)",

volume = "43",

pages = "1014--1030",

journal = "Decision Support Systems",

issn = "0167-9236",

publisher = "Elsevier B.V.",

number = "3",

}

TY - JOUR

T1 - The theory and experiments of designing cooperative intelligent systems

AU - Pendharkar, Parag C.

PY - 2007/4

Y1 - 2007/4

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/33947495776

UR - https://www.scopus.com/pages/publications/33947495776#tab=citedBy

U2 - 10.1016/j.dss.2005.05.028

DO - 10.1016/j.dss.2005.05.028

M3 - Article

AN - SCOPUS:33947495776

SN - 0167-9236

VL - 43

SP - 1014

EP - 1030

JO - Decision Support Systems

JF - Decision Support Systems

IS - 3

ER -

The theory and experiments of designing cooperative intelligent systems

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this