Accessibility navigation

A semiotic approach of multi-agent simulation for policy evaluation

Li, S., Yang, H., Zhao, J. and Li, V. ORCID: (2009) A semiotic approach of multi-agent simulation for policy evaluation. In: 16th International Conference on Industrial Engineering and Engineering Management, 21-23 Oct 2009, Beijing, China, pp. 1679-1683,

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1109/ICIEEM.2009.5344330


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.

Item Type:Conference or Workshop Item (Paper)
Divisions:Henley Business School > Business Informatics, Systems and Accounting
ID Code:32750

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation