Simulating Organizations: Computational Models of Institutions and Groups

Simulating Organizations: Computational Models of Institutions and Groups

by Michael Prietula
     
 

The globalization of the economy, increasing number of transnational organizations, and rapid changes in robotics, information, and telecommunication technologies are just a few of the factors significantly altering organizational time scales, forms, complexity, and environments. Time scales have shrunk, new organizational forms are emerging, and organizational

See more details below

Overview

The globalization of the economy, increasing number of transnational organizations, and rapid changes in robotics, information, and telecommunication technologies are just a few of the factors significantly altering organizational time scales, forms, complexity, and environments. Time scales have shrunk, new organizational forms are emerging, and organizational environments are expanding and mutating at unprecedented rates. Computational modeling affords opportunities to both understand and respond to these complex changes.Paralleling developments in the physical sciences, computational modeling is emerging in the social and organizational sciences. Organizational researchers are using computational models to gain insights into organizational phenomena and to explore dynamic processes and configurations that are difficult or impossible to investigate with other methods.
Many interesting insights have already resulted from this research, such as how group cooperation arises or dissipates in social dilemma settings, and how honesty and benevolence affect behavior in a group task. On the practical side,
computational modeling is increasingly effective for organizational design,
analysis, and reengineering.Although a great deal of work remains to be done, the era is approaching when both theorists and practitioners will routinely state theories, design organizations, and derive their implications using widely shared computational tools. This volume brings together a range of work from many of the leading researchers in the field.Contributors : Mihai Barbuceanu, Richard Burton,
Kathleen Carley, Keith Decker, Edmund Durfee, Mark S. Fox, Natalie Glance, Michael
Gruninger, Bernardo Huberman, MinCheol Kang, David Kaplan, Zhiang Lin, Michael
Prietula, Kent Sandoe, Walt Scacchi, Young-pa So, William Wallace, Laurie
Weissel.

The MIT Press

Read More

Product Details

ISBN-13:
9780262661089
Publisher:
MIT Press
Publication date:
04/03/1998
Series:
American Association for Artificial Intelligence
Edition description:
New Edition
Pages:
270
Product dimensions:
6.00(w) x 8.90(h) x 0.80(d)
Age Range:
18 Years

Table of Contents

Foreword
Acknowledgments
Introduction
Sect. 1Organizations as Multi-Agent Systems
1Webbots, Trust, and Organizational Science3
2Team-Soar: A Model for Team Decision Making23
3Designing Organizations for Computational Agents47
Sect. 2Organizations and External Conditions
4The Choice Between Accuracy and Errors: A Contingency Analysis of External Conditions and Organzational Decision Making Performance67
5Fluctuating Efforts and Sustainable Cooperation89
6Task Environment Centered Simulation105
Sect. 3Organizations and Information Technology
7An Organizational Ontology for Enterprise Modeling131
8Modeling, Simulating, and Enacting Complex Organizational Processes: A Life Cycle Approach153
9An Approach to Modeling Communication and Information Technology in Organizations169
10Organizational Mnemonics: Exploring the Role of Information Technology in Collective Remembering and Forgetting191
Conclusion: Validating and Docking: An Overview, Summary, and Challenge
Bibliography229
Index243

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >