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  1. Active Inference and Abduction.Ahti-Veikko Pietarinen & Majid D. Beni - forthcoming - Biosemiotics:1-19.
    The background target of the research going into the present article is to forge an intellectual alliance between, on the one hand, active inference and the free-energy principle, and on the other, Charles S. Peirce’s theory of semiotics and pragmatism. In the present paper, the focus is on the allegiance between the nomenclatures of active and abductive inferences as the proper place to begin reaching at that wider target. The paper outlines the key conceptual elements involved in a naturalistic rendering (...)
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  • A Pragmatic Logic for Expressivism.Carlo Dalla Pozza, Claudio Garola, Antonio Negro & Davide Sergio - 2020 - Theoria 86 (3):309-340.
    This article aims to show that the incompatibility between the application of logic to norms and values and the expressive conception of these notions – basically summed up by the Frege–Geach problem – can be overcome. To this end, a logic is constructed for the expressive conception of norms and values which provides a solution to the Frege–Geach problem and is not affected by the limitations that occur in some previous attempts. More specifically, a pragmatic language LP is introduced which (...)
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  • Four grades of ignorance-involvement and how they nourish the cognitive economy.John Woods - 2019 - Synthese 198 (4):3339-3368.
    In the human cognitive economy there are four grades of epistemic involvement. Knowledge partitions into distinct sorts, each in turn subject to gradations. This gives a fourwise partition on ignorance, which exhibits somewhat different coinstantiation possibilities. The elements of these partitions interact with one another in complex and sometimes cognitively fruitful ways. The first grade of knowledge I call “anselmian” to echo the famous declaration credo ut intelligam, that is, “I believe in order that I may come to know”. As (...)
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  • Abduction and diagrams.Ahti-Veikko Pietarinen - forthcoming - Logic Journal of the IGPL.
    Abductive conclusions are drawn in a special, co-hortative mood. Abductive conclusions are representative interpretants that represent abduction as a form of reasoning that can convey a general conception of the truth. The truth is not asserted; abduction merely delivers the idea of a matter of course, rendering that idea comparatively simple and natural, hence assuring us of its justified assertibility. Hence abductive reasoning is at home in addressing ‘How Possible’-questions in science. Abductive reasoning concerns the question of how things might, (...)
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  • Uncertainty and Planning: Cities, Technologies and Public Decision-Making.Stefano Moroni & Daniele Chiffi - 2022 - Perspectives on Science 30 (2):237-259.
    . Decision-making under uncertainty is sometimes investigated as a homogeneous problem, independently of the type of decision-maker and the level and nature of the decision itself. However, when the decision-maker is a public authority, there immediately arise problems additional to those that concern any other decision-maker. This is not always clearly recognised in orthodox discussions on decisions under conditions of uncertainty. This article investigates the methodological, strategic and procedural challenges of taking public decisions in such conditions. It focuses mainly on (...)
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  • On Explainable AI and Abductive Inference.Kyrylo Medianovskyi & Ahti-Veikko Pietarinen - 2022 - Philosophies 7 (2):35.
    Modern explainable AI methods remain far from providing human-like answers to ‘why’ questions, let alone those that satisfactorily agree with human-level understanding. Instead, the results that such methods provide boil down to sets of causal attributions. Currently, the choice of accepted attributions rests largely, if not solely, on the explainee’s understanding of the quality of explanations. The paper argues that such decisions may be transferred from a human to an XAI agent, provided that its machine-learning algorithms perform genuinely abductive inferences. (...)
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  • Risk and Values in Science: A Peircean View.Daniele Chiffi & Ahti-Veikko Pietarinen - 2019 - Axiomathes 29 (4):329-346.
    Scientific evidence and scientific values under risk and uncertainty are strictly connected from the point of view of Peirce’s pragmaticism. In addition, economy and statistics play a key role in both choosing and testing hypotheses. Hence we may show also the connection between the methodology of the economy of research and statistical frequentism, both originating from pragmaticism. The connection is drawn by the regulative principles of synechism, tychism and uberty. These principles are values that have both epistemic and non-epistemic dimension. (...)
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  • Pragmatic logics for hypotheses and evidence.Massimiliano Carrara, Daniele Chiffi & Ciro De Florio - forthcoming - Logic Journal of the IGPL.
    The present paper is devoted to present two pragmatic logics and their corresponding intended interpretations according to which an illocutionary act of hypothesis-making is justified by a scintilla of evidence. The paper first introduces a general pragmatic frame for assertions, expanded to hypotheses, ${\mathsf{AH}}$ and a hypothetical pragmatic logic for evidence ${\mathsf{HLP}}$. Both ${\mathsf{AH}}$ and ${\mathsf{HLP}}$ are extensions of the Logic for Pragmatics, $\mathcal{L}^P$. We compare ${\mathsf{AH}}$ and $\mathsf{HLP}$. Then, we underline the expressive and inferential richness of both systems in (...)
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