Emergence and Artificial Life

Nil H. Kilicay; Cihan H. Dagli

Emergence and Artificial Life

Nil H. Kilicay, Cihan H. Dagli

Engineering Division (Great Valley)

Research output: Contribution to conference › Paper › peer-review

3 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 language	English (US)
Pages	580-584
Number of pages	5
State	Published - 2003
Event	IEMC'03 Proceedings, Managing Technologically Driven Organizations: 'The Human Side of Innovation and Change' - Albany, NY, United States Duration: Nov 2 2003 → Nov 4 2003

Other

Other	IEMC'03 Proceedings, Managing Technologically Driven Organizations: 'The Human Side of Innovation and Change'
Country/Territory	United States
City	Albany, NY
Period	11/2/03 → 11/4/03

All Science Journal Classification (ASJC) codes

General Engineering
Management Science and Operations Research

Cite this

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title = "Emergence and Artificial Life",

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.",

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language = "English (US)",

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note = "IEMC'03 Proceedings, Managing Technologically Driven Organizations: 'The Human Side of Innovation and Change' ; Conference date: 02-11-2003 Through 04-11-2003",

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T1 - Emergence and Artificial Life

AU - Kilicay, Nil H.

AU - Dagli, Cihan H.

PY - 2003

Y1 - 2003

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AB - 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.

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M3 - Paper

AN - SCOPUS:1142275529

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T2 - IEMC'03 Proceedings, Managing Technologically Driven Organizations: 'The Human Side of Innovation and Change'

Y2 - 2 November 2003 through 4 November 2003

ER -

Emergence and Artificial Life

Abstract

Other

All Science Journal Classification (ASJC) codes

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