The Oxford Handbook of Agent-based Computational Management Science
Idioma: inglés
Editorial: Oxford University Press, 2026
- Tapa dura
- Nuevo
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N° de ref. del artículo FU-9780197668122
- Título
- The Oxford Handbook of Agent-based Computational Management Science
- Editorial
- Oxford University Press
- Año de publicación
- 2026
- Estado
- New
- Encuadernación
- HRD
- Idioma
- inglés
- ISBN 10
- 0197668127
- ISBN 13
- 9780197668122
- Peso del artículo
- 1242 gramos
In The Oxford Handbook of Agent-based Computational Management Science, Friederike Wall, Shu-Heng Chen, and Stephan Leitner bring together a wide array of experts in the field to give a comprehensive overview of this novel approach in management science. In particular, the volume focuses on adaptive behavior and dynamics in and across organizations, non-linearities caused by management practices, and bridging micro-and macro-levels in organizational analysis. The Handbook addresses two purposes of agent-based approaches in management science. First, the volume shows how an agent-based approach advances theory-building in management. Second, it provides an overview of agent-based technologies employed for more practical issues in management. These comprise, for example, a normative understanding of systems design, such as determining which designs provide good results.
An indispensable resource on agent-based modeling in management science, this Handbook introduces its current state from theoretical and operational perspectives and discusses its future opportunities.
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Acerca del autor
Shu-Heng Chen is a Distinguished Professor in the Department of Economics, National Chengchi University (NCCU), Taipei, Taiwan. He serves as the editor-in-chief of Journal of New Mathematics and Natural Computation and Journal of Economic Interaction and Coordination. Chen holds a PhD. in Economics from
University of California at Los Angeles. His research interests include computational intelligence, agent-based computational economics, and computational social sciences. He has more than 200 referred publications in international journals and edited book volumes, and authored Agent-based Computational Economics: How the Ideas Originated and Where It Is Going and co-authored Agent-based Modeling and Network Dynamics.
Stephan Leitner is an Associate Professor at the University of Klagenfurt, Austria. His research is focused on simulations, especially those that use agents to simulate real-life behaviors in management science, organizational studies, and complex systems. He is particularly interested in updating traditional economic models with these simulations to see how management controls emerge and to understand the behaviors and control mechanisms in organizations and individuals. Leitner also looks into how self-organization and social dynamics can explain the dynamics within
management science. His recent work aims at ensuring that social science research can be reliably replicated, emphasizing the importance of reproducibility in research.
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