MODEL OF KNOWLEDGE SPREADING FOR MULTI-AGENT SYSTEMS

被引：0

作者：

Oviedo, D. ^{[1
]}

Romero-Ternero, M. C. ^{[1
]}

Hernandez, M. D. ^{[1
]}

Carrasco, A. ^{[1
]}

Sivianes, F. ^{[1
]}

Escudero, J. I. ^{[1
]}

机构：

[1] Univ Seville, Dept Tecnol Elect, Seville, Spain

来源：

ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS | 2010年

关键词：

Multi-agent system; Knowledge sharing; Knowledge spreading; Ontologies (artificial intelligence); Open systems; Software engineering; Agent communication; Automatic control system; Interoperability model;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a model to spread knowledge in multiagent-based control systems, where simplicity, scalability, flexibility and optimization of communications system are the main goals. This model not only implies some guidelines on how the communication among different agents in the system is carried out, but also defines the organization of the elements of the system. The proposed model is applied to a control system of a solar power plant, obtaining an architecture which optimizes agents for the problem. The agents in this system can cooperate and coordinate to achieve a global goal, encapsulate the hardware interfaces and make the control system easily adapt to different requirements through configuration. The model also includes an algorithm that adds new variables in the communication among agents and enables flow control knowledge in the system.

引用

页码：326 / 331

页数：6

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