The purpose of this note is to outline a framework for uncertain reasoning which drops unrealistic assumptions about the agents’ inferential capabilities. To do so, we envisage a pivotal role for the recent research programme of depth-bounded Boolean logics (D’Agostino et al., 2013). We suggest that this can be fruitfully extended to the representation of rational belief under uncertainty. By doing this we lay the foundations for a prescriptive account of rational belief, namely one that realistic agents, as opposed to idealised ones, can feasibly act upon.

Rational Beliefs Real Agents Can Have : A Logical Point of View / M. D'Agostino, T. Flaminio, H. Hosni (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: Imperfect Decision Makers: Admitting Real-World Rationality / [a cura di] T. V. Guy, M. Kárný, D. Rios-Insua, D. H. Wolpert. - Prima edizione. - [s.l] : PMLR, 2016. - pp. 97-109 (( convegno Imperfect Decision Makers tenutosi a Barcelona nel 2016.

Rational Beliefs Real Agents Can Have : A Logical Point of View

M. D'Agostino;H. Hosni
2016

Abstract

The purpose of this note is to outline a framework for uncertain reasoning which drops unrealistic assumptions about the agents’ inferential capabilities. To do so, we envisage a pivotal role for the recent research programme of depth-bounded Boolean logics (D’Agostino et al., 2013). We suggest that this can be fruitfully extended to the representation of rational belief under uncertainty. By doing this we lay the foundations for a prescriptive account of rational belief, namely one that realistic agents, as opposed to idealised ones, can feasibly act upon.
Prescriptive rationality; tractability; logic-based probability; Bayesian norms
Settore M-FIL/02 - Logica e Filosofia della Scienza
2016
http://proceedings.mlr.press/v58/d-agostino17a/d-agostino17a.pdf
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/547866
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