期刊名称:Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
印刷版ISSN:1897-8649
电子版ISSN:2080-2145
出版年度:2008
卷号:32
页码:1-36
出版社:Industrial Research Inst. for Automation and Measurements, Warsaw
摘要:In this paper we show how taking advantage of autonomous agents' capability to
maintain parallel interactions with others, and incorporating it into the
cooperative economic search model results in a new search strategy which
outperforms current strategies in use. As a framework for our analysis we use
the electronic marketplace, where buyer agents have the incentive to search
cooperatively. The new search technique is quite intuitive, however its analysis
and the process of extracting the optimal search strategy are associated with
several significant complexities. These difficulties are derived mainly from the
unbounded search space and simultaneous dual affects of decisions taken along
the search. We provide a comprehensive analysis of the model, highlighting,
demonstrating and proving important characteristics of the optimal search
strategy. Consequently, we manage to come up with an efficient modular algorithm
for extracting the optimal cooperative search strategy for any given
environment. A computational based comparative illustration of the system
performance using the new search technique versus the traditional methods is
given, emphasizing the main differences in the optimal strategy's structure and
the advantage of using the proposed model.