Bibliographic Information

Distributed decision making : cognitive models for cooperative work

edited by Jens Rasmussen, Berndt Brehmer, and Jacques Leplat

(New technologies and work)

Wiley, c1991

Available at  / 18 libraries

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Note

Based on a workshop sponsored by the Werner Reimers Foundation, Bad Homburg, and Maison des sciences de l'homme, Paris

Includes bibliographies and indexes

Description and Table of Contents

Description

Frequently (and often inappropriately) decision making in the work environment has been analyzed and modeled in terms of isolated decisions made by one person. In reality, decision making is a continuous, interpersonal process usually involving several ``decision makers'' aiming at dynamic and cooperative control of the state of affairs at work. Based on original contributions from researchers and research teams, this book provides an urgently needed cognitive approach to models of distributed decision making, exploring the basis for design of decision support systems in various complex, collective, modern work environments. It identifies the state of the art of modeling distributed decision making and the problems imposed by modern high-tech systems. A also formulates promising research avenues.

Table of Contents

Partial table of contents: INTRODUCTION: AN OVERVIEW OF THE FIELD. Distributed Decision Making: Some Notes on the Literature (B.Brehmer). APPROACHES TO MODELING THE ORGANIZATION OF COOPERATIVE WORK ANDDECISION MAKING. Cooperative Work: A Conceptual Framework (K. Schmidt). SPECIAL PROBLEMS IN MODELING DECISION MAKING IN SOCIALSYSTEMS. Responsibility Allocation in Modern Technology (F. Rapp). FIELD STUDIES OF COOPERATIVE WORK. A Method for Tactical Reasoning (MTR) in Emergency Management:Analysis of Individual Acquisition and Collective Implementation(R. Samurcay & J. Rogalski). EXPERIMENTAL STUDIES IN SIMULATED TASK ENVIRONMENTS. Dynamic Decision Making: The Effects of Task Complexity andFeedback Delay (B. Brehmer & R. Allard). SIMULATION OF DECISION PROCESSES. Decision Models and the Design of Knowledge-Based Systems (M.Lind). METHODOLOGICAL CONCLUSION. Use of Simulation in the Study of Complex Decision Making (B.Brehmer, et al.). Author Index. Subject Index.

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