マルチエージェントの協調性を用いた刺激の伝搬による画像・言語知識獲得

Translated title of the contribution: Knowledge acquisition of image and language based on transmission of simultaneous stimuli using cooperative agents.

亀井謙一, 小松潤, Shuichi ARAI

Research output: Contribution to journalMisc

Abstract

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.
Translated title of the contributionKnowledge acquisition of image and language based on transmission of simultaneous stimuli using cooperative agents.
Original languageJapanese
Pages (from-to)1 - 8
Journal電子情報通信学会技術研究報告
Volume96
Issue number345(AI96 18-21)
StatePublished - 1 Nov 1996

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