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Agent-Based Simulation of Organizational Behavior: New by Davide Secchi, Martin Neumann PDF

By Davide Secchi, Martin Neumann

ISBN-10: 3319181521

ISBN-13: 9783319181523

ISBN-10: 331918153X

ISBN-13: 9783319181530

The target of this booklet is to illustrate how Agent-Based Modelling (ABM) can be utilized to reinforce the research of social enterprise, organizational habit and organizational administration. It derives from a workshop, backed by way of the Society for the learn of man-made Intelligence and the Simulation of habit (AISB), held at Bournemouth collage company institution in 2014 on “Modelling Organizational habit and Social Agency”. The contents of this publication are divided into 4 issues: views, Modeling Organizational habit, Philosophical and Methodological point of view, and Modeling prepared Crime and Macro-Organizational Phenomena.

ABM is a selected and complicated form of laptop simulation the place the focal point of modeling shifts to the agent instead of to the process. this permits for advanced and extra lifelike representations of truth, facilitating an cutting edge socio-cognitive standpoint on organizational experiences. The editors and contributing authors declare that using ABM may possibly dramatically extend our knowing of human habit in enterprises. this is often made attainable due to (a) the computational energy made to be had by way of technological developments, (b) the relative ease of the programming, (c) the facility to borrow simulation practices from different disciplines, and (d) the facility to illustrate how the ABM procedure essentially allows a socio-cognitive viewpoint on organizational complexity.

Showcasing contributions from lecturers and researchers of varied backgrounds and self-discipline, this volumes presents a world, interdisciplinary perspective.

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Additional info for Agent-Based Simulation of Organizational Behavior: New Frontiers of Social Science Research

Sample text

Kæt/), they ignore a history of agent–environment dynamics. These, it is argued, enable an agent to self-configure. Events re-enact patterns in slow timescales because, just as in living systems, exemplar memory allows agents to connect multiple records with later interactions. So what are the implications of cognitive diachrony? The question sets an agenda. Taking bodies and brains for granted, I present ABM as the basis for asking how embedded agents “use” interactions to appropriate a cultural ecosystem’s normative resources.

W. (1995). Organizational memory: Review of concepts and recommendations for management. The International Journal of Information Management, 15, 17–32. , & Padget, J. (2009). Sendero: An extended, agent-based implementation of Kauffman’s NKCS model. Journal of Artificial Societies and Social Simulation, 12. surrey. html. Chapter 3 Cognition Beyond the Body: Using ABM to Explore Cultural Ecosystems Stephen J. Cowley Simulation is a thirdway of doing science. Robert Axelrod, 1997 Abstract Cognitive science increasingly strives to avoid the gratuitous assumption that minds “represent” a world.

Maˇrík, V. (2008). Industrial deployment of multi-agent technologies: Review and selected case studies. Autonomous Agents and Multi-Agent Systems, 17, 397–431. Pentland, B. , Feldman, M. , Becker, M. , & Liu, P. (2012). Dynamics of organizational routines: A generative model. Journal of Management Studies, 49, 1484–1508. Powell, W. , & DiMaggio, P. J. (1991). The new institutionalism in organizational analysis. Chicago: The University of Chicago Press. Rivkin, J. W. (2000). Imitation of complex strategies.

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Agent-Based Simulation of Organizational Behavior: New Frontiers of Social Science Research by Davide Secchi, Martin Neumann


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