This paper focuses on emergent phenomena and the utilization of computer simulations, basically agent-based modeling to understand emergent phenomena. Agent-based simulation models have a promising future in the social sciences, from management to economies, political science, sociology and anthropology. This paper attempts to realize their full scientific potential by reviewing recent applications in engineering management and addresses the set of challenges confronted by this method. Common methodology for constructing an agent-based model is also discussed with the aim of highlighting how artificial life and management can be brought together to develop decision making aid tools.
N. H. Kilicay and C. H. Dagli, "Emergence and Artificial Life," Proceedings of the Engineering Management Conference, 2003. IEMC '03. Managing Technologically Driven Organizations: The Human Side of Innovation and Change, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at https://doi.org/10.1109/IEMC.2003.1252340
Engineering Management Conference, 2003. IEMC '03. Managing Technologically Driven Organizations: The Human Side of Innovation and Change
Engineering Management and Systems Engineering
Keywords and Phrases
Adaptive Systems; Agent Based Modeling; Agent Based Simulation; Anthropology; Artificial Life; Computer Simulations; Decision Making; Decision Support Systems; Digital Simulation; Economies; Emergent Phenomena; Engineering Management; Political Science; Social Sciences; Social Sciences Computing; Sociology; Software Agents; Tool Development
Article - Conference proceedings
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