Simulation Analysis Using Multi-Agent Systems for Social Norms
Computational Economics Volume 34 Issue 1
Page 37-65
published_at 2009-03-12
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| File | |
| Title ( eng ) |
Simulation Analysis Using Multi-Agent Systems for Social Norms
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| Creator |
Nishizaki Ichiro
Oyama Toshihisa
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| Source Title |
Computational Economics
|
| Volume | 34 |
| Issue | 1 |
| Start Page | 37 |
| End Page | 65 |
| Abstract |
With the existence of the social customs or norms, Naylor demonstrates a possibility of stable long-run equilibria of support for a strike in a labor market, and this implies that at least some individuals will behave cooperatively and hence the prisoners' dilemma could be escaped. In this paper, using an agent-based simulation model in which artificial adaptive agents have mechanisms of decision making and learning based on neural networks and genetic algorithms, we compare the results of our simulation analysis with that of the mathematical model by Naylor. In particular, while Naylor's model is based on rationality as it relates to individual utility maximization, agents behave adaptively in our agent-based simulation model; agents make decisions by trial and error, and they learn from experiences to make better decisions.
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| Keywords |
Social norms
Reputation
Simulation
Adaptive agents
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| NDC |
Mathematics [ 410 ]
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| Language |
eng
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| Resource Type | journal article |
| Publisher |
Springer
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| Date of Issued | 2009-03-12 |
| Rights |
Copyright (c) 2009 Springer
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| Publish Type | Author’s Original |
| Access Rights | open access |
| Source Identifier |
The original publication is available at www.springerlink.com
[ISSN] 0927-7099
[DOI] 10.1007/s10614-009-9170-x
[NCID] AA10883684
[DOI] http://dx.doi.org/10.1007/s10614-009-9170-x
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