A semiotic approach of multi-agent simulation for policy evaluation

Nowadays the changing environment becomes the main challenge for most of organizations, since they have to evaluate proper policies to adapt to the environment. In this paper, we propose a multi-agent simulation method to evaluate policies based on complex adaptive system theory. Furthermore, we pro...

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Bibliographic Details
Published in2009 16th International Conference on Industrial Engineering and Engineering Management pp. 1679 - 1683
Main Authors Shuzhang Li, Hongqiao Yang, Junping Zhao, Weizi Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Adaptive systems
Analytical models
Biological system modeling
Computational modeling
Computer simulation
Electronic design automation and methodology
Environmental economics
evaluation
Macroeconomics
Mathematical model
Mathematics
multi-agent
Policy evaluation
semiotic
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Summary:Nowadays the changing environment becomes the main challenge for most of organizations, since they have to evaluate proper policies to adapt to the environment. In this paper, we propose a multi-agent simulation method to evaluate policies based on complex adaptive system theory. Furthermore, we propose a semiotic EDA (Epistemic, Deontic, Axiological) agent model to simulate agent's behavior in the system by incorporating the social norms reflecting the policy. A case study is also provided to validate our approach. Our research present better adaptability and validity than the qualitative analysis and experiment approach and the semiotic agent model provides high creditability to simulate agents' behavior.
ISBN:1424436710
9781424436712
DOI:10.1109/ICIEEM.2009.5344330