By Davide Secchi, Martin Neumann
The objective of this booklet is to illustrate how Agent-Based Modelling (ABM) can be utilized to augment the examine of social enterprise, organizational habit and organizational administration. It derives from a workshop, backed by means of the Society for the learn of man-made Intelligence and the Simulation of habit (AISB), held at Bournemouth college enterprise college in 2014 on “Modelling Organizational habit and Social Agency”. The contents of this ebook are divided into 4 issues: views, Modeling Organizational habit, Philosophical and Methodological point of view, and Modeling equipped Crime and Macro-Organizational Phenomena.
ABM is a selected and complex kind of laptop simulation the place the point of interest of modeling shifts to the agent instead of to the procedure. this enables for complicated and extra reasonable representations of truth, facilitating an leading edge socio-cognitive viewpoint on organizational experiences. The editors and contributing authors declare that using ABM might dramatically extend our figuring out of human habit in organisations. this can be made attainable as a result of (a) the computational energy made on hand by means of technological developments, (b) the relative ease of the programming, (c) the facility to borrow simulation practices from different disciplines, and (d) the power to illustrate how the ABM procedure in actual fact permits a socio-cognitive standpoint on organizational complexity.
Showcasing contributions from teachers and researchers of varied backgrounds and self-discipline, this volumes presents an international, interdisciplinary perspective.
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Additional info for Agent-Based Simulation of Organizational Behavior: New Frontiers of Social Science Research
Learning and innovation in organizations and economies. Oxford: Oxford University Press. Odling-Smee, F. , Laland, K. , & Feldman, M. W. (1996). Niche construction. The American Naturalist, 147, 641–648. , & 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.
Nodes represent machines in a productive plant, whereas edges represent exchanges of semimanufactured goods of various intensities. The simulator constructs possible developments of this graph, with stable patterns of interaction eventually emerging while organizational learning is taking place. 3 Concepts and Theories for New Applications In the three above examples, ABMs were used in order to investigate the emergence of organizational arrangements out of interactions of some constitutive elements, or agents.
Secondly, it points to concepts that might be useful for further applications. Both in reviewing models and pointing to applications, ABMg is understood as encompassing any sort of model where relatively autonomous units interact with one another, including CA, ANNs, the NK model, the tangled nature (TN) model or other models of evolution, as well as models that are not cited in this chapter such as classifier systems. All of these models belong to the wider family of connectionist models (Farmer, 1990) and, from one particular but acceptable perspective, they can be viewed as ABMs whose agents are particularly simple.
Agent-Based Simulation of Organizational Behavior: New Frontiers of Social Science Research by Davide Secchi, Martin Neumann