2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Intelligent Information Retrieval System Based on Muti-Agent Model

Authors
Zhaodan Wu, Changfeng Shi, Yi Lu
Corresponding Author
Zhaodan Wu
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.111How to use a DOI?
Keywords
Information Retrieval, Intelligent Search, Agent, R-SCP analysis, MAS
Abstract
The intelligent information retrieval model discussed in this paper is constructed by multi-agent. Currently, BDI cognitive theory is accepted widely by the scholars of this field, but the related researches mainly focus on the theoretical derivation and presentation of symbols, lack of model facing practical application. In this article, a dynamic rule-based reasoning model is proposed. The model based on BDI theory is an expression of agent intelligence. The basic logical reasoning of the BDI theory is extended in this article. The author not only introduces several functions to study the dynamic changes of agents’ mental state, but also give a detailed description of how to use the theory of production rules to express BDI-based reasoning. This article also studies and designs the agent communication mechanism in MAS. Finally, the intelligent information retrieval system is designed and implemented with the idea of AOP.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.111How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhaodan Wu
AU  - Changfeng Shi
AU  - Yi Lu
PY  - 2013/04
DA  - 2013/04
TI  - Intelligent Information Retrieval System Based on Muti-Agent Model
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.111
DO  - https://doi.org/10.2991/icsem.2013.111
ID  - Wu2013/04
ER  -