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Agent-based simulation of organizati...

Secchi, Davide.

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Agent-based simulation of organizational behavior = new frontiers of social science research /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Agent-based simulation of organizational behavior/ edited by Davide Secchi, Martin Neumann.
其他題名:	new frontiers of social science research /
其他作者:	Secchi, Davide.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	viii, 348 p. :ill. (some col.), digital ;24 cm.
內容註:	Preface -- Chapter 1 Exploring the New Frontier -- Part I Perspectives -- Ch 2 Emergent Organizations -- Ch 3 Cognition beyond the body: Looking differently at ABM -- Part II Modeling Organizational Behavior -- Ch 4 The Effects of Disorganization on Goals and Problem Solving -- Ch 5 Constructing Agent-Based Models of Organizational Routines -- Ch 6 CoopNet: A Social, P2P-like Simulation Model to Explore Knowledge-Based Production Processes -- Ch 7 Conceptualizing and Modeling Multi-Level Organizational Co-Evolution -- Ch 8 Exploring Aspects of Coordination by Mutual Adjustment in Fluid Teams -- Ch 9 Boundary Conditions for the Emergence of "Docility" -- Part III Philosophical and Methodological Perspectives on ABM -- Ch 10 Intervening via Chance-Seeking -- Ch 11 Exploring Social and Asocial Agency in Agent-Based Systems -- Ch 12 Towards nonlocal field-like social interactions -- Ch 13 Analytical approaches to Agent-Based Models -- Part IV Modeling Organized Crime and Other Macro-Aspects of Organizational Behavior -- Ch 14 Modeling Social Agency Using Diachronic Cognition: Learning from the Mafia -- Ch 15 Water Controversies between Conflict and Cooperation -- Ch 16 Open Innovation Networks and the Role of Intermediaries.
Contained By:	Springer eBooks
標題:	Organizational behavior - Congresses. - Computer simulation -
電子資源:	http://dx.doi.org/10.1007/978-3-319-18153-0
ISBN:	9783319181530$q(electronic bk.)

Agent-based simulation of organizational behavior = new frontiers of social science research /
Agent-based simulation of organizational behaviornew frontiers of social science research /[electronic resource] :edited by Davide Secchi, Martin Neumann. - Cham :Springer International Publishing :2016. - viii, 348 p. :ill. (some col.), digital ;24 cm.

Preface -- Chapter 1 Exploring the New Frontier -- Part I Perspectives -- Ch 2 Emergent Organizations -- Ch 3 Cognition beyond the body: Looking differently at ABM -- Part II Modeling Organizational Behavior -- Ch 4 The Effects of Disorganization on Goals and Problem Solving -- Ch 5 Constructing Agent-Based Models of Organizational Routines -- Ch 6 CoopNet: A Social, P2P-like Simulation Model to Explore Knowledge-Based Production Processes -- Ch 7 Conceptualizing and Modeling Multi-Level Organizational Co-Evolution -- Ch 8 Exploring Aspects of Coordination by Mutual Adjustment in Fluid Teams -- Ch 9 Boundary Conditions for the Emergence of "Docility" -- Part III Philosophical and Methodological Perspectives on ABM -- Ch 10 Intervening via Chance-Seeking -- Ch 11 Exploring Social and Asocial Agency in Agent-Based Systems -- Ch 12 Towards nonlocal field-like social interactions -- Ch 13 Analytical approaches to Agent-Based Models -- Part IV Modeling Organized Crime and Other Macro-Aspects of Organizational Behavior -- Ch 14 Modeling Social Agency Using Diachronic Cognition: Learning from the Mafia -- Ch 15 Water Controversies between Conflict and Cooperation -- Ch 16 Open Innovation Networks and the Role of Intermediaries.

The aim of this book is to demonstrate how Agent-Based Modelling (ABM) can be used to enhance the study of social agency, organizational behavior and organizational management. It derives from a workshop, sponsored by the Society for the Study of Artificial Intelligence and the Simulation of Behavior (AISB), held at Bournemouth University Business School in 2014 on "Modelling Organizational Behavior and Social Agency". The contents of this book are divided into four themes: Perspectives, Modeling Organizational Behavior, Philosophical and Methodological Perspective, and Modeling Organized Crime and Macro-Organizational Phenomena. ABM is a particular and advanced type of computer simulation where the focus of modeling shifts to the agent rather than to the system. This allows for complex and more realistic representations of reality, facilitating an innovative socio-cognitive perspective on organizational studies. The editors and contributing authors claim that the use of ABM may dramatically expand our understanding of human behavior in organizations. This is made possible because of (a) the computational power made available by technological advancements, (b) the relative ease of the programming, (c) the ability to borrow simulation practices from other disciplines, and (d) the ability to demonstrate how the ABM approach clearly enables a socio-cognitive perspective on organizational complexity. Showcasing contributions from academics and researchers of various backgrounds and discipline, this volumes provides a global, interdisciplinary perspective.

ISBN: 9783319181530$q(electronic bk.)

Standard No.: 10.1007/978-3-319-18153-0doiSubjects--Topical Terms:

2179042
Organizational behavior
--Computer simulation--Congresses.

LC Class. No.: HD58.7

Dewey Class. No.: 302.350113

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520 $a The aim of this book is to demonstrate how Agent-Based Modelling (ABM) can be used to enhance the study of social agency, organizational behavior and organizational management. It derives from a workshop, sponsored by the Society for the Study of Artificial Intelligence and the Simulation of Behavior (AISB), held at Bournemouth University Business School in 2014 on "Modelling Organizational Behavior and Social Agency". The contents of this book are divided into four themes: Perspectives, Modeling Organizational Behavior, Philosophical and Methodological Perspective, and Modeling Organized Crime and Macro-Organizational Phenomena. ABM is a particular and advanced type of computer simulation where the focus of modeling shifts to the agent rather than to the system. This allows for complex and more realistic representations of reality, facilitating an innovative socio-cognitive perspective on organizational studies. The editors and contributing authors claim that the use of ABM may dramatically expand our understanding of human behavior in organizations. This is made possible because of (a) the computational power made available by technological advancements, (b) the relative ease of the programming, (c) the ability to borrow simulation practices from other disciplines, and (d) the ability to demonstrate how the ABM approach clearly enables a socio-cognitive perspective on organizational complexity. Showcasing contributions from academics and researchers of various backgrounds and discipline, this volumes provides a global, interdisciplinary perspective.
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