A Study to Generate a Theory of Coordination for Intelligent Agent Societies


The KIPS Transactions:PartB , Vol. 9, No. 2, pp. 147-154, Apr. 2002
10.3745/KIPSTB.2002.9.2.147,   PDF Download:

Abstract

In building Intelligent Agent Societies (IAS), it is very important to design and implement coordination in accordance with the known requirements and anticipated working conditions. Coordination consists of a set of mechanisms necessary for the effective operation of IAS. Currently, there is little theoretical support that could help in this process. The final goal of this research is to generate an empirically-based theory of coordination to help in designing efficient and effective IAS. For this final aim, first of all we are concerned with distributed problem solving systems in which all agents share an identical goal structure and fully cooperate. And we developed a simulation model called ´P-System´ which produces basic data to be used for statistical analysis to generate a theory of coordination. Coordination among agents in the P-System is dependent on 23 control variables called TEs (tweakable entities). And the level of coordination is represented by an independent variable called QMC (Quality Measure of Coordination) expressed in numerical terms according to the definition of this study. Also, we have studied how to select unbiased subset from the huge total experimental space of the P-System and how to decide the scale of the subset.


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Cite this article
[IEEE Style]
E. G. Kim, "A Study to Generate a Theory of Coordination for Intelligent Agent Societies," The KIPS Transactions:PartB , vol. 9, no. 2, pp. 147-154, 2002. DOI: 10.3745/KIPSTB.2002.9.2.147.

[ACM Style]
Eun Gyung Kim. 2002. A Study to Generate a Theory of Coordination for Intelligent Agent Societies. The KIPS Transactions:PartB , 9, 2, (2002), 147-154. DOI: 10.3745/KIPSTB.2002.9.2.147.