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  A conversion between utility and information

Ortega, P., & Braun, D. (2010). A conversion between utility and information. In E., Hutter, & M., Kitzelmann (Eds.), Third Conference on Artificial General Intelligence (AGI 2010) (pp. 115-120). Amsterdam, Netherlands: Atlantis Press.

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資料種別: 会議論文

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https://arxiv.org/pdf/0911.5106.pdf (全文テキスト(全般))
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 作成者:
Ortega, PA1, 著者           
Braun, DA1, 著者           
所属:
1University of Cambridge, ou_persistent22              

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 要旨: Rewards typically express desirabilities or preferences over a set of alternatives. Here we propose that rewards can be defined for any probability distribution based on three desiderata, namely that rewards should be real-valued, additive and order-preserving, where the latter implies that more probable events should also be more desirable. Our main result states that rewards are then uniquely determined by the negative information content. To analyze stochastic processes, we define the utility of a realization as its reward rate. Under this interpretation, we show that the expected utility of a stochastic process is its negative entropy rate. Furthermore, we apply our results to analyze agent-environment interactions. We show that the expected utility that will actually be achieved by the agent is given by the negative cross-entropy from the input-output (I/O) distribution of the coupled interaction system and the agent's I/O distribution. Thus, our results allow for an information-theoretic interpretation of the notion of utility and the characterization of agent-environment interactions in terms of entropy dynamics.

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 日付: 2010-03
 出版の状態: 出版
 ページ: -
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 識別子(DOI, ISBNなど): BibTex参照ID: OrtegaB2010_2
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関連イベント

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イベント名: Third Conference on Artificial General Intelligence (AGI 2010)
開催地: Lugano, Switzerland
開始日・終了日: 2010-03-05 - 2010-03-08

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出版物 1

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出版物名: Third Conference on Artificial General Intelligence (AGI 2010)
種別: 会議論文集
 著者・編者:
Hutter, E, 編集者
Kitzelmann, M, 編集者
所属:
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出版社, 出版地: Amsterdam, Netherlands : Atlantis Press
ページ: - 巻号: - 通巻号: - 開始・終了ページ: 115 - 120 識別子(ISBN, ISSN, DOIなど): ISBN: 978-90-78677-36-9