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Mind as an Anticipatory Device: For a Theory of Expectations

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Brain, Vision, and Artificial Intelligence (BVAI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3704))

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Abstract

This work is about the central role of “expectations” in mental life and in purposive action. We will present a Cognitive Anatomy of expectations, their reduction in terms of more elementary ingredients: beliefs and goals. Moreover, those ingredients will be considered in their ‘quantitative’ dimension: the value of the Goal, the strength of the Beliefs. We will base several predictions on this analytical decomposition, and sketch a theory of hope, fear, frustration, disappointment, and relief, strictly derived from the analysis of expectations. Eventually, we will discuss how can we capture the global subjective character of such mental states that we have decomposed; how to account for their gestaltic nature.

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Author information

Authors and Affiliations

  1. Institute for Cognitive Sciences and Technologies – CNR,  

    Cristiano Castelfranchi

Authors
  1. Cristiano Castelfranchi
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Editor information

Editors and Affiliations

  1. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli (NA), Italy

    Massimo De Gregorio

  2. Istituto di Cibernetica “E. Caianiello” del CNR, Via Campi Flegrei, 34, 80078, Pozzuoli (NA), Italy

    Vito Di Maio

  3. Institute of Cybernetics “E. Caianiello”, CNR, Pozzuoli, (Naples), Italy

    Maria Frucci

  4. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli, Italy

    Carlo Musio

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© 2005 Springer-Verlag Berlin Heidelberg

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Castelfranchi, C. (2005). Mind as an Anticipatory Device: For a Theory of Expectations. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_26

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  • DOI: https://doi.org/10.1007/11565123_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29282-1

  • Online ISBN: 978-3-540-32029-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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