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Retrospective surprise: A computational component for active inference
http://hdl.handle.net/2237/00032628
7626c2aa-501c-4c6c-9191-c5ec0f571462
名前 / ファイル | ライセンス | アクション | |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2020-09-15 | |||||
タイトル | ||||||
タイトル | Retrospective surprise: A computational component for active inference | |||||
著者 |
Katahira, Kentaro
× Katahira, Kentaro× Kunisato, Yoshihiko× Okimura, Tsukasa× Yamashita, Yuichi |
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権利 | ||||||
権利情報 | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Active inference | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Surprise | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Expected free energy | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Retrospective surprise | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Action selection | |||||
抄録 | ||||||
内容記述 | In the free energy principle (FEP) proposed by Friston, it is supposed that agents seek to minimize the “surprise” – the negative log (marginal) likelihood of observations (i.e., sensory stimuli) – given the agents’ current belief. This is achieved by minimizing the free energy, which provides an upper bound on the surprise. The FEP has been applied to action selection in a framework called “active inference,” where agents are supposed to select an action so that they minimize the “expected free energy” (EFE). While EFE can be decomposed into interpretable components such as epistemic value and extrinsic value, it is difficult to understand intuitively how EFE itself is directly related to “surprise” and what psychological construct is related to EFE itself (as a single quantity). To facilitate the discussion and interpretation of psychological processes underlying active inference, we introduce a computational component termed the “retrospective surprise,” which is the surprise of an observation after updating the belief given the observation itself. The predicted retrospective surprise (PRS) is mathematically derived from a special case of EFE and provides a lower bound on EFE. We illustrate the properties of EFE and PRS using examples of inference for a binary hidden cause given a binary observation. We discuss how information-seeking behavior is accounted for by EFE and PRS. Our results highlight the role of prior distribution of future observation in EFE. By setting this prior distribution to be fixed irrespective of which action is selected, the epistemic value can exert an influence on EFE, leading to information-seeking behavior. | |||||
内容記述タイプ | Abstract | |||||
内容記述 | ||||||
内容記述 | ファイル公開:2022-06-01 | |||||
内容記述タイプ | Other | |||||
出版者 | ||||||
出版者 | Elsevier | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
DOI | ||||||
関連識別子 | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/j.jmp.2020.102347 | |||||
ISSN(print) | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0022-2496 | |||||
書誌情報 |
Journal of Mathematical Psychology 巻 96, p. 102347, 発行日 2020-06 |
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著者版フラグ | ||||||
値 | author |