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Managing Business ComplexityDiscovering Strategic Solutions with Agent-Based Modeling and Simulation$
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Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation

Michael J. North and Charles M. Macal

Print publication date: 2007

Print ISBN-13: 9780195172119

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780195172119.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 17 January 2021

Agents Up Close

Agents Up Close

Chapter:
(p.24) 3 Agents Up Close
Source:
Managing Business Complexity
Author(s):

Michael J. North (Contributor Webpage)

Charles M. Macal (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195172119.003.0003

This chapter details approaches to implementing agents that range in sophistication from proto-agents on up to nested subagents. The implementation techniques that are discussed include statistical methods, logic programming, neural networks, linear programming, constraint programming, simulated annealing, genetic algorithms, external programs, and nested subagents.

Keywords:   proto-agents, agents, implementing agents, implementation techniques

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