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書誌事項

タイトル別名
  • Incremental Learning of the Word Concept Based on a Reward through Conversational Interactions.

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抄録

Incremental learning of knowledge and context dependency of recognition are important characteristics for an intelligent machine in the real world environment. Unknown objects may appear among known objects in such environment and the context requires change of the recognition result even if the input is the same. The system has to learn which object is unknown, what knowledge is necessary and how the context acts on the recognition process. Associative memory model PATON (Pattern+ton) has been proposed to realize such context dependency of recognition on the basis of the attention vectors. External inputs and candidates for the recognition can both be selected by an attention vector. In this paper, we propose a method of incremental learning involving the attention vectors and the knowledge, based on a reward through conversational interactions between PATON and the environment.

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詳細情報 詳細情報について

  • CRID
    1390001204463442688
  • NII論文ID
    10008841573
  • NII書誌ID
    AA11658570
  • DOI
    10.3902/jnns.6.106
  • ISSN
    18830455
    1340766X
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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