Research on knowledge-based intelligent agent model

Haijun Tao; Yadong Wang; Maozu Guo; Lin Xiang

Research on knowledge-based intelligent agent model

Haijun Tao^*
, Yadong Wang
, Maozu Guo
, Lin Xiang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

Intelligent agent model has been a hotspot of the agent research area. A knowledge-based intelligent agent logical model is presented. In the model, knowledge is the kernel and inference is the main planning method. Based on the logical model, the paper presents the internal knowledge definition model of the intelligent agent, designs the agent's physical structure based on blackboard model and gives the key algorithm. As a general intelligent agent model, it can support the agent's intelligent behavior effectively and apply to any appropriate situation conveniently. Through the application in the soybean production management system which is a part of the farm CIMS, it is proved that the model has adaptability, planning ability, inference ability and learning ability besides the basic agent's feature.

Original language	English
Pages	276-281
Number of pages	6
State	Published - 2008
Externally published	Yes
Event	12th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2008, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008 - Orlando, FL, United States Duration: 29 Jun 2008 → 2 Jul 2008

Conference

Conference	12th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2008, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008
Country/Territory	United States
City	Orlando, FL
Period	29/06/08 → 2/07/08

Keywords

Blackboard model
Knowledge-based intelligent agent

Cite this

@conference{43d1823c73d04635a5cf96571678a7e1,

title = "Research on knowledge-based intelligent agent model",

abstract = "Intelligent agent model has been a hotspot of the agent research area. A knowledge-based intelligent agent logical model is presented. In the model, knowledge is the kernel and inference is the main planning method. Based on the logical model, the paper presents the internal knowledge definition model of the intelligent agent, designs the agent's physical structure based on blackboard model and gives the key algorithm. As a general intelligent agent model, it can support the agent's intelligent behavior effectively and apply to any appropriate situation conveniently. Through the application in the soybean production management system which is a part of the farm CIMS, it is proved that the model has adaptability, planning ability, inference ability and learning ability besides the basic agent's feature.",

keywords = "Blackboard model, Knowledge-based intelligent agent",

author = "Haijun Tao and Yadong Wang and Maozu Guo and Lin Xiang",

year = "2008",

language = "英语",

pages = "276--281",

note = "12th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2008, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008 ; Conference date: 29-06-2008 Through 02-07-2008",

}

Research on knowledge-based intelligent agent model. / Tao, Haijun; Wang, Yadong; Guo, Maozu et al.
2008. 276-281 Paper presented at 12th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2008, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008, Orlando, FL, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Research on knowledge-based intelligent agent model

AU - Tao, Haijun

AU - Wang, Yadong

AU - Guo, Maozu

AU - Xiang, Lin

PY - 2008

Y1 - 2008

N2 - Intelligent agent model has been a hotspot of the agent research area. A knowledge-based intelligent agent logical model is presented. In the model, knowledge is the kernel and inference is the main planning method. Based on the logical model, the paper presents the internal knowledge definition model of the intelligent agent, designs the agent's physical structure based on blackboard model and gives the key algorithm. As a general intelligent agent model, it can support the agent's intelligent behavior effectively and apply to any appropriate situation conveniently. Through the application in the soybean production management system which is a part of the farm CIMS, it is proved that the model has adaptability, planning ability, inference ability and learning ability besides the basic agent's feature.

AB - Intelligent agent model has been a hotspot of the agent research area. A knowledge-based intelligent agent logical model is presented. In the model, knowledge is the kernel and inference is the main planning method. Based on the logical model, the paper presents the internal knowledge definition model of the intelligent agent, designs the agent's physical structure based on blackboard model and gives the key algorithm. As a general intelligent agent model, it can support the agent's intelligent behavior effectively and apply to any appropriate situation conveniently. Through the application in the soybean production management system which is a part of the farm CIMS, it is proved that the model has adaptability, planning ability, inference ability and learning ability besides the basic agent's feature.

KW - Blackboard model

KW - Knowledge-based intelligent agent

UR - https://www.scopus.com/pages/publications/84869075542

M3 - 论文

AN - SCOPUS:84869075542

SP - 276

EP - 281

T2 - 12th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2008, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008

Y2 - 29 June 2008 through 2 July 2008

ER -

Research on knowledge-based intelligent agent model

Abstract

Conference

Keywords

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