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(More customer reviews)Lomi and Larsen recruited an outstanding set of authors to explain and apply a new generation of agent-based computational models to the problem of organizational change. Using state-of-the-art simulation methods, with clear explanations and superior examples, the various chapters show how principles from genetic algorithms, neural networks, and cellular automata can be applied to the emergence, persistence, and disbanding of organizations (and other hierarchical macrostructures). I particularly liked their well-considered decision to emphasize multiple levels of analysis within the same models. This is a sourcebook that advanced students of organization studies should have on their shelf.
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An organization is more than the sum of its parts, and the individualcomponents that function as a complex social system can be understood only byanalyzing their collective behavior. This book shows how state-of-the-art simulationmethods, including genetic algorithms, neural networks, and cellular automata, canbe brought to bear on central problems of organizational theory related to theemergence, permanence, and dissolution of hierarchical macrostructures. The emphasisis on the application of a new generation of equation- and agent-based computationalmodels that can help students of organizations to reformulate their basic researchquestions starting from assumptions about how to link--rather thanseparate--different levels of organizational analysis.
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