DocumentCode
463361
Title
Notice of Violation of IEEE Publication Principles
Formalization of Capability for Command-Based Agent
Author
Yibing Song ; Yongtian Yang ; Chuangang Zhu
Author_Institution
Dept. of Comput. Sci. & Technol., Harbin Eng. Univ., Ha´erbin
Volume
1
fYear
2006
fDate
17-19 July 2006
Firstpage
195
Lastpage
199
Abstract
Notice of Violation of IEEE Publication Principles
"Formalization of Capability for Command-Based Agent"
by Yibing Song, Yongtian Yang, and Chuangang Zhu
in the Proceedings of 5th IEEE International Conference on Cognitive Informatics (ICCI) 2006.
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the paper cited below. The text was paraphrased, and was not clearly referenced or specifically identified.
"Agent Capabilities: Extending BDI Theory"
by Lin Padgham and Patrick Lambrix
in the Proceedings of the Seventeenth National Conference on Artificial Intelligence - AAAI 2000, pp 68-73, Austin, Texas, USA, August 2000.
Intentional agent systems are increasingly used in a wide range of complex applications. Capability has recently been introduced into some of these systems as a software engineering mechanism to support modularity and reusability while still allowing meta-level reasoning. Depending on circumstances, capability may not always result in an achievable plan for realizing the goal, but it is a prerequisite for such. Based on BDI logic, this paper presents a BGC model, which includes a mental state of command. Under BGC frame, the notion of capability is discussed and formalized, also the axiom system and compatibility of capability is investigated. Furthermore, a style of agent commitment is defined as self-aware agent, which allows an agent to modify its goals and commands as its capabilities change. Practice shows BGC logic and capability theory can solve the dynamic selection between roles and agents, and meet the demands of command-based MAS application on obedience and flexibility properly
"Formalization of Capability for Command-Based Agent"
by Yibing Song, Yongtian Yang, and Chuangang Zhu
in the Proceedings of 5th IEEE International Conference on Cognitive Informatics (ICCI) 2006.
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the paper cited below. The text was paraphrased, and was not clearly referenced or specifically identified.
"Agent Capabilities: Extending BDI Theory"
by Lin Padgham and Patrick Lambrix
in the Proceedings of the Seventeenth National Conference on Artificial Intelligence - AAAI 2000, pp 68-73, Austin, Texas, USA, August 2000.
Intentional agent systems are increasingly used in a wide range of complex applications. Capability has recently been introduced into some of these systems as a software engineering mechanism to support modularity and reusability while still allowing meta-level reasoning. Depending on circumstances, capability may not always result in an achievable plan for realizing the goal, but it is a prerequisite for such. Based on BDI logic, this paper presents a BGC model, which includes a mental state of command. Under BGC frame, the notion of capability is discussed and formalized, also the axiom system and compatibility of capability is investigated. Furthermore, a style of agent commitment is defined as self-aware agent, which allows an agent to modify its goals and commands as its capabilities change. Practice shows BGC logic and capability theory can solve the dynamic selection between roles and agents, and meet the demands of command-based MAS application on obedience and flexibility properly
Keywords
formal logic; military computing; multi-agent systems; BDI logic; BGC model; agent commitment; axiom system; capability theory; command-based MAS application; command-based agent; meta-level reasoning; modularity; multiagent; reusability; self-aware agent; software engineering; Application software; Artificial intelligence; Cognitive informatics; Computational modeling; Computer simulation; Force control; Logic; Military computing; Multiagent systems; Notice of Violation; agent capabilities; agent representation formalisms; mentality; multi-agent; role;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0475-4
Type
conf
DOI
10.1109/COGINF.2006.365696
Filename
4216411
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