Emergence and Artificial Life

Nil H. Kilicay, Cihan H. Dagli

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

The emergent phenomena and the utilization of computer simulation, basically agent-based modeling, to understand emergent phenomena was presented. The agent-based simulation models have a promising future in the social sciences, from management to economics, political science, sociology and anthropology. The agent-based modeling is a computational methodology that allows the analyst to model and simulate the behavior of the system' units mainly called agents, their interactions with other agents and interactions with their environment and captures the emergent behavior from the bottom up. It can incorporate neural networks, evolutionary algorithms and other learning techniques.

Original languageEnglish (US)
Pages580-584
Number of pages5
StatePublished - Dec 1 2003
EventIEMC'03 Proceedings, Managing Technologically Driven Organizations: 'The Human Side of Innovation and Change' - Albany, NY, United States
Duration: Nov 2 2003Nov 4 2003

Other

OtherIEMC'03 Proceedings, Managing Technologically Driven Organizations: 'The Human Side of Innovation and Change'
CountryUnited States
CityAlbany, NY
Period11/2/0311/4/03

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Management Science and Operations Research

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