Research on the Equipment Support Decision Making Agent

Xing Zhang; Xiao Ming Du; Ning Zhu; Xiu Bin Li

doi:10.4028/www.scientific.net/AMR.945-949.3082

Paper Titles

Establishment and Application of Risk Forecast Model of Construction Project Based upon BP Neural Network
p.3056

Power Quality Management in Distribution Systems
p.3060

Model of Optimum Planning of Civil Engineering in the Settlement Territory
p.3069

Production Line System Research Based on LINGO
p.3078

Research on the Equipment Support Decision Making Agent
p.3082

Method of Selection Manufacturing Projects Based on FANP Model
p.3087

Merging Algorithm for Multi-Varieties and Small-Batch Orders in Iron and Steel Enterprise
p.3092

An Algorithm for Economic Lot Scheduling Problem
p.3097

Modeling and Analysis of Machining Center Reliability Based on MATLAB
p.3102

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Research on the Equipment Support Decision Making...

Research on the Equipment Support Decision Making Agent

Abstract:

The crossover of the building of the BDI model and the Agent model helped to materialize the formation of the BDI-Agent model, strenthening the theoretical basis of the intelligent control field. According to recent studies about the equipment support decision making, relative research of the model of BDI-Agent with feedback has made less works. The research on the equipment support decision making BDI-Agent with feedback is an exploration of the study of the BDI-Agent model, On basis of the recommendation of the development of the BDI-Agent model and its primary data structures, brings up a kind of idea about the BDI-Agent model with feedback. To prove the feasibility of the idea, brings out a background, what is the moment when the equipment supporter meets a firethreaten during carrying out a mission, sets up a feedback condition. By means of programming the rationality of the BDI-Agent model with feedback is verified.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3082-3086

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.3082

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Online since:

June 2014

Authors:

Xing Zhang, Xiao Ming Du*, Ning Zhu, Xiu Bin Li

Keywords:

Decision-Making, Interaction, Model, Reasoning, Rule Base

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* - Corresponding Author

References

[1] Bratman M E. Intentions, Plans, Practical Reason. CambridgeMA: Hardvard University Press, (1987).

Google Scholar

[2] Shanli Hu, Chunyi Shi. Agent-BDI logic [J]. Journal of Software, Oct 2000: 1353-1360.

Google Scholar

[3] Zhi Miao, Hui-yu Deng. Study About Rational Model Base on BDI Agent [J]. Computer Knowledge and Technology, 2009: 4081-4083.

Google Scholar

[4] Guo-rong Zhao. The Dynamic Reasoning Model Based On BDI-Agent [J]. Science&technology Information, 2008: 100-101.

Google Scholar

[5] Xiaoqiang Kang, Chunyi Shi. Multi-Agent Interaction based on BDI [J]. Computer Engineering, 1999. 11: 1166 -1171.

Google Scholar

[6] Yong Wang, Guoxing Huang, Jianping Xu. A BDI-Agent model with feedback [J]. Microcomputer Information, 2007. 01: 300-302.

Google Scholar

[7] Wanghu Sun, Yanqi Bai, Xuemin Zhang. Research On Military conceptual model Formating Representations Method[J]. Computer Simulation, 2013. 09: 18 -21.

Google Scholar

[8] Qiang Li, Guihong Bi, Hua Wang. Language Evolution Simulation and Modeling Based on Agent [J]. Computer Simulation, 2009. 26 (1) : 287-291.

Google Scholar