Emergence and artificial life

Author

Kilicay, Nil H. ; Dagli, Cihan H.

Author_Institution

Dept. of Eng. Manage., Univ. of Missouri-Rolla, Rolla, MO, USA

fYear

2003

fDate

2-4 Nov. 2003

Firstpage

580

Lastpage

584

Abstract

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.

Keywords

adaptive systems; artificial life; decision making; decision support systems; digital simulation; emergent phenomena; social sciences computing; software agents; agent based modeling; agent based simulation; anthropology; artificial life; computer simulations; decision making; economies; emergent phenomena; engineering management; political science; social sciences; sociology; tool development; Adaptive systems; Computational modeling; Disaster management; Emergent phenomena; Humans; Innovation management; Power system management; Research and development management; Technological innovation; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering Management Conference, 2003. IEMC '03. Managing Technologically Driven Organizations: The Human Side of Innovation and Change

Print_ISBN

0-7803-8150-5

Type

conf

DOI

10.1109/IEMC.2003.1252340

Filename

1252340