An Integrated Reasoning and Learning Environment for WWW Based Software Agents for Electronic Commerce

Behrouz Homayoun FAR; Sidi O.SOUEINA; Hassan HAJJI; Shadan SANIEPOUR; Anete Hiromi HASHIMOTO

An Integrated Reasoning and Learning Environment for WWW Based Software Agents for Electronic Commerce

Behrouz Homayoun FAR, Sidi O.SOUEINA, Hassan HAJJI, Shadan SANIEPOUR, Anete Hiromi HASHIMOTO

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A major topic in the field of network and telecommunications is doing business on the World Wide Web (WWW), which is called Electronic Commerce (EC). Another major topic is blending Artificial Intelligence (AL) techniques with the WWW. In the Ex-W-Pert Project we have proposed an agent model for EC components that blends the traditional expert systems' reasoning engine with a multi-layer knowledge base, communication and documentation engines. In this project, EC is viewed as a society of software agents, such as customer, search, catalog, manufacturer, dealer, delivery and banker agents, interacting and negotiating with each other. Each agent has a knowledge-base and a reasoning engine, a communication engine and a documentation engine. The knowledge-base is organized in three layers: skill layer, rule layer and knowledge layer (S-R-K layers). In this project, for each EC agent, we identify the class of problems to be solved and build the knowledge base gradually for each layer. We believe that using this multi-layer knowledge base system will speed up the reasoning and ultimately reduce the operation costs.

Publication: IEICE TRANSACTIONS on Information Vol.E81-D No.12 pp.1374-1386

Publication Date: 1998/12/25

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Type of Manuscript: Special Section PAPER (Special Issue on Knowledge-Based Software Engineering)

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Behrouz Homayoun FAR, Sidi O.SOUEINA, Hassan HAJJI, Shadan SANIEPOUR, Anete Hiromi HASHIMOTO, "An Integrated Reasoning and Learning Environment for WWW Based Software Agents for Electronic Commerce" in IEICE TRANSACTIONS on Information, vol. E81-D, no. 12, pp. 1374-1386, December 1998, doi: .
Abstract: A major topic in the field of network and telecommunications is doing business on the World Wide Web (WWW), which is called Electronic Commerce (EC). Another major topic is blending Artificial Intelligence (AL) techniques with the WWW. In the Ex-W-Pert Project we have proposed an agent model for EC components that blends the traditional expert systems' reasoning engine with a multi-layer knowledge base, communication and documentation engines. In this project, EC is viewed as a society of software agents, such as customer, search, catalog, manufacturer, dealer, delivery and banker agents, interacting and negotiating with each other. Each agent has a knowledge-base and a reasoning engine, a communication engine and a documentation engine. The knowledge-base is organized in three layers: skill layer, rule layer and knowledge layer (S-R-K layers). In this project, for each EC agent, we identify the class of problems to be solved and build the knowledge base gradually for each layer. We believe that using this multi-layer knowledge base system will speed up the reasoning and ultimately reduce the operation costs.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e81-d_12_1374/_p

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@ARTICLE{e81-d_12_1374,
author={Behrouz Homayoun FAR, Sidi O.SOUEINA, Hassan HAJJI, Shadan SANIEPOUR, Anete Hiromi HASHIMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={An Integrated Reasoning and Learning Environment for WWW Based Software Agents for Electronic Commerce},
year={1998},
volume={E81-D},
number={12},
pages={1374-1386},
abstract={A major topic in the field of network and telecommunications is doing business on the World Wide Web (WWW), which is called Electronic Commerce (EC). Another major topic is blending Artificial Intelligence (AL) techniques with the WWW. In the Ex-W-Pert Project we have proposed an agent model for EC components that blends the traditional expert systems' reasoning engine with a multi-layer knowledge base, communication and documentation engines. In this project, EC is viewed as a society of software agents, such as customer, search, catalog, manufacturer, dealer, delivery and banker agents, interacting and negotiating with each other. Each agent has a knowledge-base and a reasoning engine, a communication engine and a documentation engine. The knowledge-base is organized in three layers: skill layer, rule layer and knowledge layer (S-R-K layers). In this project, for each EC agent, we identify the class of problems to be solved and build the knowledge base gradually for each layer. We believe that using this multi-layer knowledge base system will speed up the reasoning and ultimately reduce the operation costs.},
keywords={},
doi={},
ISSN={},
month={December},}

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TY - JOUR
TI - An Integrated Reasoning and Learning Environment for WWW Based Software Agents for Electronic Commerce
T2 - IEICE TRANSACTIONS on Information
SP - 1374
EP - 1386
AU - Behrouz Homayoun FAR
AU - Sidi O.SOUEINA
AU - Hassan HAJJI
AU - Shadan SANIEPOUR
AU - Anete Hiromi HASHIMOTO
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E81-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1998
AB - A major topic in the field of network and telecommunications is doing business on the World Wide Web (WWW), which is called Electronic Commerce (EC). Another major topic is blending Artificial Intelligence (AL) techniques with the WWW. In the Ex-W-Pert Project we have proposed an agent model for EC components that blends the traditional expert systems' reasoning engine with a multi-layer knowledge base, communication and documentation engines. In this project, EC is viewed as a society of software agents, such as customer, search, catalog, manufacturer, dealer, delivery and banker agents, interacting and negotiating with each other. Each agent has a knowledge-base and a reasoning engine, a communication engine and a documentation engine. The knowledge-base is organized in three layers: skill layer, rule layer and knowledge layer (S-R-K layers). In this project, for each EC agent, we identify the class of problems to be solved and build the knowledge base gradually for each layer. We believe that using this multi-layer knowledge base system will speed up the reasoning and ultimately reduce the operation costs.
ER -