書誌事項
- タイトル別名
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- A Computational Model of an Instruction Learner: How to Learn “good” or “bad” through Action
- ジリツテキ ナ コウドウ ガクシュウ オ リヨウ シタ ヒョウカ キョウジ ノ ケイサンロンテキ イミ ガクシュウ モデル
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抄録
This paper proposes a model that can learn the meanings of instructions (for example, “good” and “bad”.). This model assumes that an advisee learns the meanings of instructions in parallel with learning the evaluation of its action experience. The reinforcement learning algorithm is adopted for the action learning. We conducted experiments with a robot simulator. The result of the experiments suggests that our model can learn not only evaluation-instructions but also two types of instruction (evaluation-instructions and direction-instructions) simultaneously. This model can be thought as a basic model of an intelligent agent that can learn the meanings of instructions.
収録刊行物
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- 認知科学
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認知科学 9 (2), 200-212, 2002
日本認知科学会
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詳細情報 詳細情報について
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- CRID
- 1390282679461404288
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- NII論文ID
- 10009707739
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- NII書誌ID
- AN1047304X
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- ISSN
- 18815995
- 13417924
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- NDL書誌ID
- 025100141
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可