Research Repository

A Software Agent Based Simulation Model for Systems with Decision Units

Miao, Yuan (2009) A Software Agent Based Simulation Model for Systems with Decision Units. In: 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing. Yang, Bo and Zhu, William and Dai, Yuanshun and Yang, Laurence T and Ma, Jianhua, eds. IEEE, Los Alamitos, CA, pp. 270-275.

Full text for this resource is not available from the Research Repository.

Abstract

This paper proposes a software agent based simulation model for studying the behavior of complex, highly nonlinear, non-continuous, concurrent systems, especially those involving intelligent units or human factors. Such a system is normally very difficult, if at all possible, to be modeled with well formed differential equations or statistical models. The normal system modelling and analysis methods were not designed for such systems and could not handle them well. This paper attempts to provide insights into such systems through a software agent based simulation model. The model represents each important factors or units in the system as a software agent. One agent can have impacts on other agents. Each agent independently makes its own decision on the impacts from other agents, and/or observations of other agents. The hidden patterns of the complex system are then revealed through simulations. An simulation economic problem is used to illustrate the model. Proceedings of a meeting held 12-14 December 2009, Chengdu, China

Item Type: Book Section
ISBN: 9780769539294 (print) 9781424454211 (online)
Uncontrolled Keywords: ResPubID18593, fuzzy congitive map, dynamical cognitive network, software agent, dynamic, economic systems, financial systems
Subjects: Faculty/School/Research Centre/Department > School of Engineering and Science
FOR Classification > 0801 Artificial Intelligence and Image Processing
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Related URLs:
Depositing User: VUIR
Date Deposited: 02 Dec 2013 03:55
Last Modified: 02 Dec 2013 03:55
URI: http://vuir.vu.edu.au/id/eprint/6437
DOI: 10.1109/DASC.2009.161
ePrint Statistics: View download statistics for this item
Citations in Scopus: 1 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar