Presentation 1996/11/1
Knowledge acquisition of image and language based on transmission of simultaneous stimuli using cooperative agents
Ken'ichi Kamei, Jun Komatsu, Shuichi Arai,
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Abstract(in English) Recently, the study of brain function is developed. This paper describes a brain function model that reacts to stimuli of sight and hearing. Neural-network is a representative method for modeling brain in cellular unit. We propose a framework of a model in each functional unit using multi-agent. Agents manage each function and transmit stimuli to each other. Transmitting stimuli enable agents to acquire knowledge. There are cases where stimuli that have same concept lead agents to different result, because each agent has different knowledge. Therefore, many conflicts occur between stimuli. We organized agents for behaving cooperative and negotiating to solve conflicts.
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Keyword(in English) artificial-intelligents / stimulation / transmit / multi-agent / cooperation
Paper # AI96-18
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Committee AI
Conference Date 1996/11/1(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Knowledge acquisition of image and language based on transmission of simultaneous stimuli using cooperative agents
Sub Title (in English)
Keyword(1) artificial-intelligents
Keyword(2) stimulation
Keyword(3) transmit
Keyword(4) multi-agent
Keyword(5) cooperation
1st Author's Name Ken'ichi Kamei
1st Author's Affiliation Dept. of Computer science, Chiba Institute of Technology()
2nd Author's Name Jun Komatsu
2nd Author's Affiliation Dept. of Computer science, Chiba Institute of Technology
3rd Author's Name Shuichi Arai
3rd Author's Affiliation Dept. of Computer science, Chiba Institute of Technology
Date 1996/11/1
Paper # AI96-18
Volume (vol) vol.96
Number (no) 345
Page pp.pp.-
#Pages 8
Date of Issue