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  1. Jerusalem Divided: The Hebrew University’s Philosophy Department Between Rotenstreich and Bar-Hillel.Tal Meir Giladi - 2023 - Philosophia 51 (4):1949-1976.
    The years following Israel’s founding were formative ones for the development of philosophy as an academic discipline in this country. During this period, the distinction between philosophy seen as contiguous with the humanities and social sciences, and philosophy seen as adjacent to the natural and exact sciences began to make its presence felt in the Hebrew University of Jerusalem. This distinction, which was manifest in the curriculum, was by no means unique to the Hebrew University, but reflected the broader bifurcation (...)
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  • What is the philosophy of information?Luciano Floridi - 2002 - Metaphilosophy 33 (1-2):123–145.
    Computational and information-theoretic research in philosophy has become increasingly fertile and pervasive, giving rise to a wealth of interesting results. In consequence, a new and vitally important field has emerged, the philosophy of information (PI). This essay is the first attempt to analyse the nature of PI systematically. PI is defined as the philosophical field concerned with the critical investigation of the conceptual nature and basic principles of information, including its dynamics, utilisation, and sciences, and the elaboration and application of (...)
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  • Logical Conceptualization of Knowledge on the Notion of Language Communication.Urszula Wybraniec-Skardowska - 2017 - Studies in Logic, Grammar and Rhetoric 52 (1):247-269.
    The main objective of the paper is to provide a conceptual apparatus of a general logical theory of language communication. The aim of the paper is to outline a formal-logical theory of language in which the concepts of the phenomenon of language communication and language communication in general are defined and some conditions for their adequacy are formulated. The theory explicates the key notions of contemporary syntax, semantics, and pragmatics. The theory is formalized on two levels: token-level and type-level. As (...)
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  • Is semantic information meaningful data?Luciano Floridi - 2007 - Philosophy and Phenomenological Research 70 (2):351-370.
    There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the Dretske‐Grice approach: meaningful and well‐formed data constitute semantic information only if they also qualify as contingently truthful. After a brief introduction, SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information. SDI is incorrect because truth‐values do not supervene on (...)
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  • Understanding epistemic relevance.Luciano Floridi - 2008 - Erkenntnis 69 (1):69-92.
    Agents require a constant flow, and a high level of processing, of relevant semantic information, in order to interact successfully among themselves and with the environment in which they are embedded. Standard theories of information, however, are silent on the nature of epistemic relevance. In this paper, a subjectivist interpretation of epistemic relevance is developed and defended. It is based on a counterfactual and metatheoretical analysis of the degree of relevance of some semantic information i to an informee/agent a, as (...)
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  • Intentionality: No mystery.William T. Powers - 1986 - Behavioral and Brain Sciences 9 (1):152-153.
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  • Intentionality and communication theory.K. M. Sayre - 1986 - Behavioral and Brain Sciences 9 (1):155-165.
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  • Théorie du discours et théorie de l'Histoire.Roberto Miguelez - 1974 - Dialogue 13 (1):53-70.
    Ce qu'on peut appeler lathéorie du discoursbouleverse les fondements épistémologiques et les perspectives méthodologiques de la recherche dans d'importants secteurs des sciences humaines et sociales. L'ethnologie, la psychanalyse et, bien entendu, les sciences de la littérature deviennent le champ d'application d'un système conceptuel opératoire que sous-tend la notion de « texte », et d'un modèle d'analyse axé sur le problème de la découverte des « lois de construction » du texte. L'intérêt particulier que présentent les thèses de M. Foucault réside (...)
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  • Deduction and induction: Reasoning through mental models. [REVIEW]Bruno G. Bara & Monica Bucciarelli - 2000 - Mind and Society 1 (1):95-107.
    In this paper we deal with two types of reasoning: induction, and deduction First, we present a unified computational model of deductive reasoning through models, where deduction occurs in five phases: Construction, Integration, Conclusion, Falsification, and Response. Second, we make an attempt, to analyze induction through the same phases. Our aim is an explorative evaluation of the mental processes possibly shared by deductive and inductive reasoning.
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  • Open problems in the philosophy of information.Luciano Floridi - 2004 - Metaphilosophy 35 (4):554-582.
    The philosophy of information (PI) is a new area of research with its own field of investigation and methodology. This article, based on the Herbert A. Simon Lecture of Computing and Philosophy I gave at Carnegie Mellon University in 2001, analyses the eighteen principal open problems in PI. Section 1 introduces the analysis by outlining Herbert Simon's approach to PI. Section 2 discusses some methodological considerations about what counts as a good philosophical problem. The discussion centers on Hilbert's famous analysis (...)
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  • The logic of being informed.Luciano Floridi - 2006 - Logique Et Analyse 49 (196):433-460.
    One of the open problems in the philosophy of information is whether there is an information logic (IL), different from epistemic (EL) and doxastic logic (DL), which formalises the relation “a is informed that p” (Iap) satisfactorily. In this paper, the problem is solved by arguing that the axiom schemata of the normal modal logic (NML) KTB (also known as B or Br or Brouwer’s system) are well suited to formalise the relation of “being informed”. After having shown that IL (...)
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  • A calculus of semantic values.Benny Shanon - 1982 - Synthese 52 (2):283 - 298.
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  • General semantics.David K. Lewis - 1970 - Synthese 22 (1-2):18--67.
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  • Identification in the limit of categorial grammars.Makoto Kanazawa - 1996 - Journal of Logic, Language and Information 5 (2):115-155.
    It is proved that for any k, the class of classical categorial grammars that assign at most k types to each symbol in the alphabet is learnable, in the Gold (1967) sense of identification in the limit from positive data. The proof crucially relies on the fact that the concept known as finite elasticity in the inductive inference literature is preserved under the inverse image of a finite-valued relation. The learning algorithm presented here incorporates Buszkowski and Penn's (1990) algorithm for (...)
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  • Outline of a theory of strongly semantic information.Luciano Floridi - 2004 - Minds and Machines 14 (2):197-221.
    This paper outlines a quantitative theory of strongly semantic information (TSSI) based on truth-values rather than probability distributions. The main hypothesis supported in the paper is that the classic quantitative theory of weakly semantic information (TWSI), based on probability distributions, assumes that truth-values supervene on factual semantic information, yet this principle is too weak and generates a well-known semantic paradox, whereas TSSI, according to which factual semantic information encapsulates truth, can avoid the paradox and is more in line with the (...)
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  • Intentionality and information processing: An alternative model for cognitive science.Kenneth M. Sayre - 1986 - Behavioral and Brain Sciences 9 (1):121-38.
    This article responds to two unresolved and crucial problems of cognitive science: (1) What is actually accomplished by functions of the nervous system that we ordinarily describe in the intentional idiom? and (2) What makes the information processing involved in these functions semantic? It is argued that, contrary to the assumptions of many cognitive theorists, the computational approach does not provide coherent answers to these problems, and that a more promising start would be to fall back on mathematical communication theory (...)
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  • Precis of knowledge and the flow of information.Fred I. Dretske - 1983 - Behavioral and Brain Sciences 6 (1):55-90.
    A theory of information is developed in which the informational content of a signal (structure, event) can be specified. This content is expressed by a sentence describing the condition at a source on which the properties of a signal depend in some lawful way. Information, as so defined, though perfectly objective, has the kind of semantic property (intentionality) that seems to be needed for an analysis of cognition. Perceptual knowledge is an information-dependent internal state with a content corresponding to the (...)
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  • A Philosopher against the Bandwagon: Carnap and the Informationalization of Thermal Physics.Javier Anta - 2022 - Hopos: The Journal of the International Society for the History of Philosophy of Science 12 (1):43-67.
    In this paper I aim to demonstrate that Rudolf Carnap's analysis of the application of information theory within physics, an intellectual-historical precedent of current philosophical criticisms toward this tendency, is justified. First, Carnap and Bar-Hillel (1952) underlined the unjustified ‘semantification’ of Shannon entropy Furthermore, Carnap criticized the ‘physicalization’ of Shannon entropy, but that criticism was not accepted by the physics community of the 1950s (Köhler 2001). Finally, in the posthumously published "Two Essays on Entropy" Carnap (1977) developed a critical assessment (...)
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  • Meaning and Interpretation. II.Urszula Wybraniec-Skardowska - 2007 - Studia Logica 85 (2):261-274.
    The paper enriches the conceptual apparatus of the theory of meaning and denotation that was presented in Part I (Section 3). This part concentrates on the notion of interpretation, which is defined as an equivalence class of the relation possessing the same manner of interpreting types. In this part, some relations between meaning and interpretation, as well as one between denotation an interpretational denotation are established. In the theory of meaning and interpretation, the notion of language communication has been formally (...)
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  • The Scandal of Deduction: Hintikka on the Information Yield of Deductive Inferences.Sebastian Sequoiah-Grayson - 2008 - Journal of Philosophical Logic 37 (1):67-94.
    This article provides the first comprehensive reconstruction and analysis of Hintikka’s attempt to obtain a measure of the information yield of deductive inferences. The reconstruction is detailed by necessity due to the originality of Hintikka’s contribution. The analysis will turn out to be destructive. It dismisses Hintikka’s distinction between surface information and depth information as being of any utility towards obtaining a measure of the information yield of deductive inferences. Hintikka is right to identify the failure of canonical information theory (...)
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  • Strongly semantic information and verisimilitude.Gustavo Cevolani - 2011 - Ethics and Politics (2):159-179.
    In The Philosophy of Information, Luciano Floridi presents a theory of “strongly semantic information”, based on the idea that “information encapsulates truth” (the so-called “veridicality thesis”). Starting with Popper, philosophers of science have developed different explications of the notion of verisimilitude or truthlikeness, construed as a combination of truth and information. Thus, the theory of strongly semantic information and the theory of verisimilitude are intimately tied. Yet, with few exceptions, this link has virtually pass unnoticed. In this paper, we briefly (...)
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  • Intentionally: A problem of multiple reference frames, specificational information, and extraordinary boundary conditions on natural law.M. T. Turvey - 1986 - Behavioral and Brain Sciences 9 (1):153-155.
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  • Information, causality, and intentionality.David Kelley - 1986 - Behavioral and Brain Sciences 9 (1):147-147.
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  • Semantic information: Inference rules + memory.Michael Lebowitz - 1986 - Behavioral and Brain Sciences 9 (1):147-148.
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  • Can information be objectivized?Ralph Norman Haber - 1983 - Behavioral and Brain Sciences 6 (1):70-71.
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  • Some untoward consequences of Dretske's “causal theory” of information.Kenneth M. Sayre - 1983 - Behavioral and Brain Sciences 6 (1):78-79.
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  • Probaility and information.Patrick Suppes - 1983 - Behavioral and Brain Sciences 6 (1):81-82.
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  • Logic, Models, and Paradoxical Inferences.Isabel Orenes & P. N. Johnson-Laird - 2012 - Mind and Language 27 (4):357-377.
    People reject ‘paradoxical’ inferences, such as: Luisa didn't play music; therefore, if Luisa played soccer, then she didn't play music. For some theorists, they are invalid for everyday conditionals, but valid in logic. The theory of mental models implies that they are valid, but unacceptable because the conclusion refers to a possibility inconsistent with the premise. Hence, individuals should accept them if the conclusions refer only to possibilities consistent with the premises: Luisa didn't play soccer; therefore, if Luisa played a (...)
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  • Information and Information Flow: An Introduction.Manuel Bremer & Daniel Cohnitz - 2004 - De Gruyter.
    This book is conceived as an introductory text into the theory of syntactic and semantic information, and information flow.
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  • An Information-based Solution for the Puzzle of Testimony and Trust.Mariarosaria Taddeo - 2010 - Social Epistemology 24 (4):285-299.
    In this paper, I offer a contribution to the debate on testimony that rests on three elements: the definition of semantic information, the analysis of trust as a second?order property of first?order relations, and Floridi?s Network Theory of Account (NTA). I argue that testimony transmits semantic information and it is neither grounded on trust nor justified by it. Instead, I show that testimony is an occurrence of a first?order relation of communication affected by the second?order property of trust. I then (...)
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  • A unifying typology of information.B. Antal Banathy - 1997 - World Futures 49 (3):369-389.
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  • Natural languages and context-free languages.Geoffrey K. Pullum & Gerald Gazdar - 1980 - Linguistics and Philosophy 4 (4):471 - 504.
    Notice that this paper has not claimed that all natural languages are CFL's. What it has shown is that every published argument purporting to demonstrate the non-context-freeness of some natural language is invalid, either formally or empirically or both.18 Whether non-context-free characteristics can be found in the stringset of some natural language remains an open question, just as it was a quarter century ago.Whether the question is ultimately answered in the negative or the affirmative, there will be interesting further questions (...)
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  • Term-labeled categorial type systems.Richard T. Oehrle - 1994 - Linguistics and Philosophy 17 (6):633 - 678.
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  • The informational turn in philosophy.Frederick Adams - 2003 - Minds and Machines 13 (4):471-501.
    This paper traces the application of information theory to philosophical problems of mind and meaning from the earliest days of the creation of the mathematical theory of communication. The use of information theory to understand purposive behavior, learning, pattern recognition, and more marked the beginning of the naturalization of mind and meaning. From the inception of information theory, Wiener, Turing, and others began trying to show how to make a mind from informational and computational materials. Over the last 50 years, (...)
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  • The Dissolution of Bar-Hillel-Carnap Paradox by Semantic Information Theory Based on a Paraconsistent Logic.Samir Gorsky - 2018 - Principia: An International Journal of Epistemology 22 (1):139-151.
    Several logical puzzles, riddles and problems are defined based on the notion of games in informative contexts. Hintikka argues that epistemology or the theory of knowledge must be considered from the notion of information. So, knowledge cannot just be based on the notions of belief and justification. The present proposal will focus on the logical structure of information, and not only on the quantification of information as suggested by Claude A. Shannon. In many cases, the information bits, although seemingly or (...)
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  • Uncertainty about information.Ian E. Gordon - 1986 - Behavioral and Brain Sciences 9 (1):146-146.
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  • Indeterminism, proximal stimuli, and perception.D. M. Armstrong - 1983 - Behavioral and Brain Sciences 6 (1):64-65.
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  • A model theory of induction.Philip N. Johnson‐Laird - 1994 - International Studies in the Philosophy of Science 8 (1):5 – 29.
    Abstract Theories of induction in psychology and artificial intelligence assume that the process leads from observation and knowledge to the formulation of linguistic conjectures. This paper proposes instead that the process yields mental models of phenomena. It uses this hypothesis to distinguish between deduction, induction, and creative forms of thought. It shows how models could underlie inductions about specific matters. In the domain of linguistic conjectures, there are many possible inductive generalizations of a conjecture. In the domain of models, however, (...)
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  • Review article.R. J. Nelson - 1980 - Synthese 43 (3):433-451.
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  • A 'natural logic' inference system using the Lambek calculus.Anna Zamansky, Nissim Francez & Yoad Winter - 2006 - Journal of Logic, Language and Information 15 (3):273-295.
    This paper develops an inference system for natural language within the ‘Natural Logic’ paradigm as advocated by van Benthem, Sánchez and others. The system that we propose is based on the Lambek calculus and works directly on the Curry-Howard counterparts for syntactic representations of natural language, with no intermediate translation to logical formulae. The Lambek -based system we propose extends the system by Fyodorov et~al., which is based on the Ajdukiewicz/Bar-Hillel calculus Bar Hillel,. This enables the system to deal with (...)
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  • On the “content” and “relevance” of information-theoretic epistemology.Ernest Sosa - 1983 - Behavioral and Brain Sciences 6 (1):79-81.
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  • The sufficiency of information-caused belief for knowledge.Bede Rundle - 1983 - Behavioral and Brain Sciences 6 (1):78-78.
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  • Can information be de-cognitized?William W. Rozeboom - 1983 - Behavioral and Brain Sciences 6 (1):76-77.
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  • Application of inductive logic to the analysis of construct validity.Robert Joseph Rossi - 1978 - Synthese 37 (3):285 - 319.
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  • Intentionality as internality.Don Perlis & Rosalie Hall - 1986 - Behavioral and Brain Sciences 9 (1):151-152.
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  • A total process approach to perception.Maxine Morphis - 1986 - Behavioral and Brain Sciences 9 (1):150-151.
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  • Dynamic dependency grammar.David Milward - 1994 - Linguistics and Philosophy 17 (6):561 - 605.
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  • Cognitive science and the pragmatics of behavior.Lawrence E. Marks - 1986 - Behavioral and Brain Sciences 9 (1):150-150.
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  • Intrinsic versus contrived intentionality.Donald M. MacKay - 1986 - Behavioral and Brain Sciences 9 (1):149-150.
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  • Hacia una interpretación fisico-causal de la información en contextos comunicacionales.Cristian Ariel López & Olimpia Iris Lombardi - 2018 - Critica 50 (149):59-88.
    El objetivo del presente artículo es proponer una nueva interpretación del concepto de información en contextos comunicacionales: una interpretación físicocausal. Apelando a las teorías manipulabilistas de la causación, principalmente en su versión intervencionista, buscaremos mostrar que la información comunicacional es una propiedad física que podemos manipular para generar situaciones comunicacionales. Este enfoque nos permite entender la naturaleza de la comunicación como estructura causal, puesta de manifiesto mediante criterios manipulabilistas. Confiamos en que el enfoque propuesto logra superar ciertas dificultades de las (...)
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