A Cyc-based multi-agent system

Jingwen He; Hokyin Lai; Huaiqing Wang

doi:10.1109/HICSS.2008.15

A Cyc-based multi-agent system

Jingwen He^*
, Hokyin Lai
, Huaiqing Wang

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

Multi-agent Systems (MAS) are systems in which many intelligent agents interact with each other to accomplish a common goal, e.g. solving a complicated problem in a distributed environment. Domain specific knowledge can no longer solely support reasoning in MAS, whereas common sense knowledge becomes more critical to the reasoning quality, especially when e-Commerce has become more popular and more merchants are getting excited to the worldwide market. Incorporating common sense knowledge to the MAS is on edge. However, the use of common sense knowledge induces implementation dilemmas. For example, OpenCyc is not only a common sense knowledge base, but also has its own inference engine. Developers have to determine whether to use the existing inference engine or to use the one that OpenCyc provided. In this paper, four approaches to incorporate common sense knowledge to MAS are proposed and evaluated, and we finally advocate our favorite.

Original language	English
Title of host publication	Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS
Editors	Thayanan Phuaphanthong
Place of Publication	Piscataway
Publisher	IEEE
Number of pages	8
ISBN (Print)	0769530753, 9780769530758
DOIs	https://doi.org/10.1109/HICSS.2008.15
Publication status	Published - 7 Jan 2008
Event	41st Annual Hawaii International Conference on System Sciences - Waikoloa, Big Island, United States Duration: 7 Jan 2008 → 10 Jan 2008 https://ieeexplore.ieee.org/xpl/conhome/4438695/proceeding (Conference proceeding)

Publication series

Name	Proceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)	1530-1605

Conference

Conference	41st Annual Hawaii International Conference on System Sciences
Abbreviated title	HICSS 2008
Country/Territory	United States
City	Waikoloa, Big Island
Period	7/01/08 → 10/01/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4438695/proceeding (Conference proceeding)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/HICSS.2008.15

Cite this

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title = "A Cyc-based multi-agent system",

abstract = "Multi-agent Systems (MAS) are systems in which many intelligent agents interact with each other to accomplish a common goal, e.g. solving a complicated problem in a distributed environment. Domain specific knowledge can no longer solely support reasoning in MAS, whereas common sense knowledge becomes more critical to the reasoning quality, especially when e-Commerce has become more popular and more merchants are getting excited to the worldwide market. Incorporating common sense knowledge to the MAS is on edge. However, the use of common sense knowledge induces implementation dilemmas. For example, OpenCyc is not only a common sense knowledge base, but also has its own inference engine. Developers have to determine whether to use the existing inference engine or to use the one that OpenCyc provided. In this paper, four approaches to incorporate common sense knowledge to MAS are proposed and evaluated, and we finally advocate our favorite.",

author = "Jingwen He and Hokyin Lai and Huaiqing Wang",

note = "Publisher Copyright: {\textcopyright} 2008 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved; 41st Annual Hawaii International Conference on System Sciences, HICSS 2008 ; Conference date: 07-01-2008 Through 10-01-2008",

year = "2008",

month = jan,

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doi = "10.1109/HICSS.2008.15",

language = "English",

isbn = "0769530753",

series = "Proceedings of the Annual Hawaii International Conference on System Sciences",

publisher = "IEEE",

editor = "Thayanan Phuaphanthong",

booktitle = "Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS",

address = "United States",

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He, J, Lai, H & Wang, H 2008, A Cyc-based multi-agent system. in T Phuaphanthong (ed.), Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS., 4438766, Proceedings of the Annual Hawaii International Conference on System Sciences, IEEE, Piscataway, 41st Annual Hawaii International Conference on System Sciences, Waikoloa, Big Island, Hawaii, United States, 7/01/08. https://doi.org/10.1109/HICSS.2008.15

A Cyc-based multi-agent system. / He, Jingwen; Lai, Hokyin; Wang, Huaiqing.
Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS. ed. / Thayanan Phuaphanthong. Piscataway: IEEE, 2008. 4438766 (Proceedings of the Annual Hawaii International Conference on System Sciences).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - He, Jingwen

AU - Lai, Hokyin

AU - Wang, Huaiqing

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N2 - Multi-agent Systems (MAS) are systems in which many intelligent agents interact with each other to accomplish a common goal, e.g. solving a complicated problem in a distributed environment. Domain specific knowledge can no longer solely support reasoning in MAS, whereas common sense knowledge becomes more critical to the reasoning quality, especially when e-Commerce has become more popular and more merchants are getting excited to the worldwide market. Incorporating common sense knowledge to the MAS is on edge. However, the use of common sense knowledge induces implementation dilemmas. For example, OpenCyc is not only a common sense knowledge base, but also has its own inference engine. Developers have to determine whether to use the existing inference engine or to use the one that OpenCyc provided. In this paper, four approaches to incorporate common sense knowledge to MAS are proposed and evaluated, and we finally advocate our favorite.

AB - Multi-agent Systems (MAS) are systems in which many intelligent agents interact with each other to accomplish a common goal, e.g. solving a complicated problem in a distributed environment. Domain specific knowledge can no longer solely support reasoning in MAS, whereas common sense knowledge becomes more critical to the reasoning quality, especially when e-Commerce has become more popular and more merchants are getting excited to the worldwide market. Incorporating common sense knowledge to the MAS is on edge. However, the use of common sense knowledge induces implementation dilemmas. For example, OpenCyc is not only a common sense knowledge base, but also has its own inference engine. Developers have to determine whether to use the existing inference engine or to use the one that OpenCyc provided. In this paper, four approaches to incorporate common sense knowledge to MAS are proposed and evaluated, and we finally advocate our favorite.

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T3 - Proceedings of the Annual Hawaii International Conference on System Sciences

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A Cyc-based multi-agent system

Abstract

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UN SDGs

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