Search results for 'Inference' (try it on Scholar)

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  1. Peter Lipton (2004). Inference to the Best Explanation. Routledge/Taylor and Francis Group.
    How do we go about weighing evidence, testing hypotheses, and making inferences? The model of " inference to the best explanation " -- that we infer the hypothesis that would, if correct, provide the best explanation of the available evidence--offers a compelling account of inferences both in science and in ordinary life. Widely cited by epistemologists and philosophers of science, IBE has nonetheless remained little more than a slogan. Now this influential work has been thoroughly revised and updated, and (...)
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  2. Ralph Wedgwood (2012). Justified Inference. Synthese 189 (2):1-23.
    What is the connection between justification and the kind of consequence relations that are studied by logic? In this essay, I shall try to provide an answer, by proposing a general conception of the kind of inference that counts as justified or rational.
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  3. John H. Holland (1986). Induction Processes of Inference, Learning, and Discovery. Monograph Collection (Matt - Pseudo).
     
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  4.  25
    Joshua B. Tenenbaum & Thomas L. Griffiths (2001). Generalization, Similarity, and Bayesian Inference. Behavioral and Brain Sciences 24 (4):629-640.
    Shepard has argued that a universal law should govern generalization across different domains of perception and cognition, as well as across organisms from different species or even different planets. Starting with some basic assumptions about natural kinds, he derived an exponential decay function as the form of the universal generalization gradient, which accords strikingly well with a wide range of empirical data. However, his original formulation applied only to the ideal case of generalization from a single encountered stimulus to a (...)
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  5. Jennifer S. Trueblood & Jerome R. Busemeyer (2011). A Quantum Probability Account of Order Effects in Inference. Cognitive Science 35 (8):1518-1552.
    Order of information plays a crucial role in the process of updating beliefs across time. In fact, the presence of order effects makes a classical or Bayesian approach to inference difficult. As a result, the existing models of inference, such as the belief-adjustment model, merely provide an ad hoc explanation for these effects. We postulate a quantum inference model for order effects based on the axiomatic principles of quantum probability theory. The quantum inference model explains order (...)
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  6.  41
    Nevin Climenhaga (forthcoming). Inference to the Best Explanation Made Incoherent. Journal of Philosophy.
    Defenders of Inference to the Best Explanation (IBE) claim that explanatory factors should play an important role in empirical inference. They disagree, however, about how exactly to formulate this role. In particular, they disagree about whether to formulate IBE as an inference rule for full beliefs or for degrees of belief, and, if it is formulated as a rule for degrees of belief, how this rule relates to Bayesianism. In this essay I advance a new argument against (...)
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  7.  62
    Ernan McMullin (2013). The Inference That Makes Science. Zygon 48 (1):143-191.
    Abstract In his Aquinas Lecture 1992 at Marquette University, Ernan McMullin discusses whether there is a pattern of inference that particularly characterizes the sciences of nature. He pursues this theme both on a historical and a systematic level. There is a continuity of concern across the ages that separate the Greek inquiry into nature from our own vastly more complex scientific enterprise. But there is also discontinuity, the abandonment of earlier ideals as unworkable. The natural sciences involve many types (...)
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  8. Adolfas Mackonis (2013). Inference to the Best Explanation, Coherence and Other Explanatory Virtues. Synthese 190 (6):975-995.
    This article generalizes the explanationist account of inference to the best explanation. It draws a clear distinction between IBE and abduction and presents abduction as the first step of IBE. The second step amounts to the evaluation of explanatory power, which consist in the degree of explanatory virtues that a hypothesis exhibits. Moreover, even though coherence is the most often cited explanatory virtue, on pain of circularity, it should not be treated as one of the explanatory virtues. Rather, coherence (...)
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  9. Anders Nes (2016). The Sense of Natural Meaning in Conscious Inference. In T. Breyer & C. Gutland (eds.), Phenomenology of Thinking. Routledge 97-115.
    The paper addresses the phenomenology of inference. It proposes that the conscious character of conscious inferences is partly constituted by a sense of meaning; specifically, a sense of what Grice called ‘natural meaning’. In consciously drawing the (outright, categorical) conclusion that Q from a presumed fact that P, one senses the presumed fact that P as meaning that Q, where ‘meaning that’ expresses natural meaning. This sense of natural meaning is phenomenologically analogous, I suggest, to our sense of what (...)
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  10. Ruth Weintraub (2013). Induction and Inference to the Best Explanation. Philosophical Studies 166 (1):203-216.
    In this paper I adduce a new argument in support of the claim that IBE is an autonomous form of inference, based on a familiar, yet surprisingly, under-discussed, problem for Hume’s theory of induction. I then use some insights thereby gleaned to argue for the claim that induction is really IBE, and draw some normative conclusions.
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  11.  44
    Fernando Raymundo Velázquez-Quesada (2009). Inference and Update. Synthese 169 (2):283 - 300.
    We look at two fundamental logical processes, often intertwined in planning and problem solving: inference and update. Inference is an internal process with which we uncover what is implicit in the information we already have. Update, on the other hand, is produced by external communication, usually in the form of announcements and in general in the form of observations, giving us information that might not have been available (even implicitly) before. Both processes have received attention from the logic (...)
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  12. Gregor Betz (2013). Justifying Inference to the Best Explanation as a Practical Meta-Syllogism on Dialectical Structures. Synthese 190 (16):3553-3578.
    This article discusses how inference to the best explanation can be justified as a practical meta - argument. It is, firstly, justified as a practical argument insofar as accepting the best explanation as true can be shown to further a specific aim. And because this aim is a discursive one which proponents can rationally pursue in — and relative to — a complex controversy, namely maximising the robustness of one’s position, IBE can be conceived, secondly, as a meta - (...)
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  13.  31
    John R. Josephson & Susan G. Josephson (eds.) (1994). Abductive Inference: Computation, Philosophy, Technology. Cambridge University Press.
    In informal terms, abductive reasoning involves inferring the best or most plausible explanation from a given set of facts or data. It is a common occurrence in everyday life and crops up in such diverse places as medical diagnosis, scientific theory formation, accident investigation, language understanding, and jury deliberation. In recent years, it has become a popular and fruitful topic in artificial intelligence research. This volume breaks new ground in the scientific, philosophical, and technological study of abduction. It presents new (...)
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  14. Ulf Hlobil (2014). Against Boghossian, Wright and Broome on Inference. Philosophical Studies 167 (2):419-429.
    I argue that the accounts of inference recently presented (in this journal) by Paul Boghossian, John Broome, and Crispin Wright are unsatisfactory. I proceed in two steps: First, in Sects. 1 and 2, I argue that we should not accept what Boghossian calls the “Taking Condition on inference” as a condition of adequacy for accounts of inference. I present a different condition of adequacy and argue that it is superior to the one offered by Boghossian. More precisely, (...)
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  15.  66
    Deborah G. Mayo & Aris Spanos (eds.) (2009). Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science. Cambridge University Press.
    Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.
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  16.  29
    Vladimir V. Rybakov (1997). Admissibility of Logical Inference Rules. Elsevier.
    The aim of this book is to present the fundamental theoretical results concerning inference rules in deductive formal systems. Primary attention is focused on: admissible or permissible inference rules the derivability of the admissible inference rules the structural completeness of logics the bases for admissible and valid inference rules. There is particular emphasis on propositional non-standard logics (primary, superintuitionistic and modal logics) but general logical consequence relations and classical first-order theories are also considered. The book is (...)
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  17.  21
    Stephanie Denison & Fei Xu (2010). Integrating Physical Constraints in Statistical Inference by 11-Month-Old Infants. Cognitive Science 34 (5):885-908.
    Much research on cognitive development focuses either on early-emerging domain-specific knowledge or domain-general learning mechanisms. However, little research examines how these sources of knowledge interact. Previous research suggests that young infants can make inferences from samples to populations (Xu & Garcia, 2008) and 11- to 12.5-month-old infants can integrate psychological and physical knowledge in probabilistic reasoning (Teglas, Girotto, Gonzalez, & Bonatti, 2007; Xu & Denison, 2009). Here, we ask whether infants can integrate a physical constraint of immobility into a statistical (...)
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  18.  58
    Jiji Zhang & Peter Spirtes (2008). Detection of Unfaithfulness and Robust Causal Inference. Minds and Machines 18 (2):239-271.
    Much of the recent work on the epistemology of causation has centered on two assumptions, known as the Causal Markov Condition and the Causal Faithfulness Condition. Philosophical discussions of the latter condition have exhibited situations in which it is likely to fail. This paper studies the Causal Faithfulness Condition as a conjunction of weaker conditions. We show that some of the weaker conjuncts can be empirically tested, and hence do not have to be assumed a priori. Our results lead to (...)
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  19. Assaf Sharon & Levi Spectre (2013). Epistemic Closure Under Deductive Inference: What is It and Can We Afford It? Synthese 190 (14):2731-2748.
    The idea that knowledge can be extended by inference from what is known seems highly plausible. Yet, as shown by familiar preface paradox and lottery-type cases, the possibility of aggregating uncertainty casts doubt on its tenability. We show that these considerations go much further than previously recognized and significantly restrict the kinds of closure ordinary theories of knowledge can endorse. Meeting the challenge of uncertainty aggregation requires either the restriction of knowledge-extending inferences to single premises, or eliminating epistemic uncertainty (...)
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  20.  15
    Jeffrey N. Rouder, Richard D. Morey, Josine Verhagen, Jordan M. Province & Eric‐Jan Wagenmakers (2016). Is There a Free Lunch in Inference? Topics in Cognitive Science 8 (3):520-547.
    The field of psychology, including cognitive science, is vexed by a crisis of confidence. Although the causes and solutions are varied, we focus here on a common logical problem in inference. The default mode of inference is significance testing, which has a free lunch property where researchers need not make detailed assumptions about the alternative to test the null hypothesis. We present the argument that there is no free lunch; that is, valid testing requires that researchers test the (...)
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  21. Ian Proops (2002). The Tractatus on Inference and Entailment. In Erich Reck (ed.), From Frege to Wittgenstein: Essays on Early Analytic Philosophy, 283–307. Oxford University Press
    In the Tractatus Wittgenstein criticizes Frege and Russell's view that laws of inference (Schlussgesetze) "justify" logical inferences. What lies behind this criticism, I argue, is an attack on Frege and Russell's conceptions of logical entailment. In passing, I examine Russell's dispute with Bradley on the question whether all relations are "internal".
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  22. David H. Glass (2007). Coherence Measures and Inference to the Best Explanation. Synthese 157 (3):275-296.
    This paper considers an application of work on probabilistic measures of coherence to inference to the best explanation. Rather than considering information reported from different sources, as is usually the case when discussing coherence measures, the approach adopted here is to use a coherence measure to rank competing explanations in terms of their coherence with a piece of evidence. By adopting such an approach IBE can be made more precise and so a major objection to this mode of reasoning (...)
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  23.  46
    Hannes Leitgeb (2004). Inference on the Low Level: An Investigation Into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition. Kluwer Academic Publishers.
    This monograph provides a new account of justified inference as a cognitive process. In contrast to the prevailing tradition in epistemology, the focus is on low-level inferences, i.e., those inferences that we are usually not consciously aware of and that we share with the cat nearby which infers that the bird which she sees picking grains from the dirt, is able to fly. Presumably, such inferences are not generated by explicit logical reasoning, but logical methods can be used to (...)
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  24.  26
    Aris Spanos & Deborah G. Mayo (2015). Error Statistical Modeling and Inference: Where Methodology Meets Ontology. Synthese 192 (11):3533-3555.
    In empirical modeling, an important desiderata for deeming theoretical entities and processes as real is that they can be reproducible in a statistical sense. Current day crises regarding replicability in science intertwines with the question of how statistical methods link data to statistical and substantive theories and models. Different answers to this question have important methodological consequences for inference, which are intertwined with a contrast between the ontological commitments of the two types of models. The key to untangling them (...)
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  25.  19
    Paul D. Thorn & Gerhard Schurz (forthcoming). Qualitative Probabilistic Inference Under Varied Entropy Levels. Journal of Applied Logic.
    In previous work, we studied four well known systems of qualitative probabilistic inference, and presented data from computer simulations in an attempt to illustrate the performance of the systems. These simulations evaluated the four systems in terms of their tendency to license inference to accurate and informative conclusions, given incomplete information about a randomly selected probability distribution. In our earlier work, the procedure used in generating the unknown probability distribution (representing the true stochastic state of the world) tended (...)
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  26. Gary Hatfield (2002). Perception as Unconscious Inference. In Dieter Heyer & Rainer Mausfeld (eds.), Perception and the Physical World: Psychological and Philosophical Issues in Perception. John Wiley and Sons Ltd 113--143.
    In this chapter I examine past and recent theories of unconscious inference. Most theorists have ascribed inferences to perception literally, not analogically, and I focus on the literal approach. I examine three problems faced by such theories if their commitment to unconscious inferences is taken seriously. Two problems concern the cognitive resources that must be available to the visual system (or a more central system) to support the inferences in question. The third problem focuses on how the conclusions of (...)
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  27. Cesare Cozzo (2014). Inference and Compulsion. In E. Moriconi (ed.), Second Pisa Colloquium in Logic,Language and Epistemology. ETS 162-180.
    What is an inference? Logicians and philosophers have proposed various conceptions of inference. I shall first highlight seven features that contribute to distinguish these conceptions. I shall then compare three conceptions to see which of them best explains the special force that compels us to accept the conclusion of an inference, if we accept its premises.
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  28.  17
    Raphael Scholl (2015). Inference to the Best Explanation in the Catch-22: How Much Autonomy for Mill’s Method of Difference? European Journal for Philosophy of Science 5 (1):89-110.
    In his seminal Inference to the Best Explanation, Peter Lipton adopted a causal view of explanation and a broadly Millian view of how causal knowledge is obtained. This made his account vulnerable to critics who charged that Inference to the Best Explanation is merely a dressed-up version of Mill’s methods, which in the critics’ view do the real inductive work. Lipton advanced two arguments to protect Inference to the Best Explanation against this line of criticism: the problem (...)
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  29. Kareem Khalifa (2010). Default Privilege and Bad Lots: Underconsideration and Explanatory Inference. International Studies in the Philosophy of Science 24 (1):91 – 105.
    The underconsideration argument against inference to the best explanation and scientific realism holds that scientists are not warranted in inferring that the best theory is true, because scientists only ever conceive of a small handful of theories at one time, and as a result, they may not have considered a true theory. However, antirealists have not developed a detailed alternative account of why explanatory inference nevertheless appears so central to scientific practice. In this paper, I provide new defences (...)
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  30.  54
    Nikolaj Jang Lee Linding Pedersen & Jesper Kallestrup (2013). The Epistemology of Absence-Based Inference. Synthese 190 (13):2573-2593.
    Our main aim in this paper is to contribute towards a better understanding of the epistemology of absence-based inferences. Many absence-based inferences are classified as fallacies. There are exceptions, however. We investigate what features make absence-based inferences epistemically good or reliable. In Section 2 we present Sanford Goldberg’s account of the reliability of absence-based inference, introducing the central notion of epistemic coverage. In Section 3 we approach the idea of epistemic coverage through a comparison of alethic and evidential principles. (...)
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  31.  10
    Carlotta Pavese (June 2016). Logical Inference and Its Dynamics. In Tamminga Allard, Willer Malte & Roy Olivier (eds.), Deontic Logic and Normative Systems The 13th International Conference. DEON 2016, Bayreuth, Germany. College Publications 203-219.
    This essay advances and develops a dynamic conception of inference rules and uses it to reexamine a long-standing problem about logical inference raised by Lewis Carroll’s regress.
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  32.  41
    Jun-Young Oh (2014). Understanding Natural Science Based on Abductive Inference: Continental Drift. [REVIEW] Foundations of Science 19 (2):153-174.
    This study aims to understand scientific inference for the evolutionary procedure of Continental Drift based on abductive inference, which is important for creative inference and scientific discovery during problem solving. We present the following two research problems: (1) we suggest a scientific inference procedure as well as various strategies and a criterion for choosing hypotheses over other competing or previous hypotheses; aspects of this procedure include puzzling observation, abduction, retroduction, updating, deduction, induction, and recycle; and (2) (...)
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  33. Mark Day & George S. Botterill (2008). Contrast, Inference and Scientific Realism. Synthese 160 (2):249 - 267.
    The thesis of underdetermination presents a major obstacle to the epistemological claims of scientific realism. That thesis is regularly assumed in the philosophy of science, but is puzzlingly at odds with the actual history of science, in which empirically adequate theories are thin on the ground. We propose to advance a case for scientific realism which concentrates on the process of scientific reasoning rather than its theoretical products. Developing an account of causal–explanatory inference will make it easier to resist (...)
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  34. Stephen Gaukroger (1989). Cartesian Logic: An Essay on Descartes's Conception of Inference. Clarendon Press.
    This book deals with a neglected episode in the history of logic and theories of cognition: the way in which conceptions of inference changed during the seventeenth century. The author focuses on the work of Descartes, contrasting his construal of inference as an instantaneous grasp in accord with the natural light of reason, with the Aristotelian view of inference as a discursive process. Gaukroger offers a new interpretation of Descartes`s contribution to the question, revealing it to be (...)
     
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  35. Andrew Melnyk (1994). Inference to the Best Explanation and Other Minds. Australasian Journal of Philosophy 72 (4):482-91.
    Robert Pargetter has argued that we know other minds through an inference to the best explanation. My aim is to show, by criticising Pargetter's account, that this approach to the problem of other minds cannot, as it stands, deliver the goods; it might be part of the right response to the problem, but it cannot be the whole story. More precisely, I will claim that Pargetter does not successfully reconstruct how ordinary people in everyday life come reasonably to believe (...)
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  36.  85
    David Makinson (2012). Logical Questions Behind the Lottery and Preface Paradoxes: Lossy Rules for Uncertain Inference. Synthese 186 (2):511-529.
    We reflect on lessons that the lottery and preface paradoxes provide for the logic of uncertain inference. One of these lessons is the unreliability of the rule of conjunction of conclusions in such contexts, whether the inferences are probabilistic or qualitative; this leads us to an examination of consequence relations without that rule, the study of other rules that may nevertheless be satisfied in its absence, and a partial rehabilitation of conjunction as a ‘lossy’ rule. A second lesson is (...)
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  37.  19
    Matthew W. McKeon (forthcoming). Statements of Inference and Begging the Question. Synthese:1-25.
    I advance a pragmatic account of begging the question according to which a use of an argument begs the question just in case it is used as a statement of inference and it fails to state an inference the arguer or an addressee can perform given what they explicitly believe. Accordingly, what begs questions are uses of arguments as statements of inference, and the root cause of begging the question is an argument’s failure to state an (...) performable by the reasoners the arguer targets. In these ways, my account is distinguished from other pragmatic accounts. By taking the defect of a question-begging use of an argument to be its failure to state its purported inference, my account highlights in a unique way why question-begging is not an epistemic defect, and why it is not a fallacy, understood as a mistake in reasoning. These points have been made elsewhere, but I believe that their plausibility is enhanced by considering begging the question as nullifying the role of an argument as a statement of inference. Since question-begging uses of arguments fail to state their purported inferences, using an argument in a question-begging-way is not a ratiocinative mistake. This undermines accounts of begging the question that adopt an epistemic approach. (shrink)
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  38.  58
    Tim Fuller & Richard Samuels (2014). Scientific Inference and Ordinary Cognition: Fodor on Holism and Cognitive Architecture. Mind and Language 29 (2):201-237.
    Do accounts of scientific theory formation and revision have implications for theories of everyday cognition? We maintain that failing to distinguish between importantly different types of theories of scientific inference has led to fundamental misunderstandings of the relationship between science and everyday cognition. In this article, we focus on one influential manifestation of this phenomenon which is found in Fodor's well-known critique of theories of cognitive architecture. We argue that in developing his critique, Fodor confounds a variety of distinct (...)
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  39.  7
    Hidehito Honda, Toshihiko Matsuka & Kazuhiro Ueda (2016). Memory‐Based Simple Heuristics as Attribute Substitution: Competitive Tests of Binary Choice Inference Models. Cognitive Science 40 (8).
    Some researchers on binary choice inference have argued that people make inferences based on simple heuristics, such as recognition, fluency, or familiarity. Others have argued that people make inferences based on available knowledge. To examine the boundary between heuristic and knowledge usage, we examine binary choice inference processes in terms of attribute substitution in heuristic use. In this framework, it is predicted that people will rely on heuristic or knowledge-based inference depending on the subjective difficulty of the (...)
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  40.  52
    Marie Duží (2010). The Paradox of Inference and the Non-Triviality of Analytic Information. Journal of Philosophical Logic 39 (5):473 - 510.
    The classical theory of semantic information (ESI), as formulated by Bar-Hillel and Carnap in 1952, does not give a satisfactory account of the problem of what information, if any, analytically and/or logically true sentences have to offer. According to ESI, analytically true sentences lack informational content, and any two analytically equivalent sentences convey the same piece of information. This problem is connected with Cohen and Nagel's paradox of inference: Since the conclusion of a valid argument is contained in the (...)
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  41.  27
    Aleta Quinn (forthcoming). Phylogenetic Inference to the Best Explanation and the Bad Lot Argument. Synthese:1-15.
    I respond to the bad lot argument in the context of biological systematics. The response relies on the historical nature of biological systematics and on the availability of pattern explanations. The basic assumption of common descent enables systematic methodology to naturally generate candidate explanatory hypotheses. However, systematists face a related challenge in the issue of character analysis. Character analysis is the central problem for contemporary systematics, yet the general problem of which it is a case—what counts as evidence?—has not been (...)
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  42.  63
    Göran Sundholm (2012). Inference Versus Consequence” Revisited: Inference, Consequence, Conditional, Implication. Synthese 187 (3):943-956.
    Inference versus consequence , an invited lecture at the LOGICA 1997 conference at Castle Liblice, was part of a series of articles for which I did research during a Stockholm sabbatical in the autumn of 1995. The article seems to have been fairly effective in getting its point across and addresses a topic highly germane to the Uppsala workshop. Owing to its appearance in the LOGICA Yearbook 1997 , Filosofia Publishers, Prague, 1998, it has been rather inaccessible. Accordingly it (...)
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  43.  45
    Rick A. Adams, Harriet R. Brown & Karl J. Friston (2015). Bayesian Inference, Predictive Coding and Delusions. Avant: Trends in Interdisciplinary Studies 3:51-88.
    This paper considers psychotic symptoms in terms of false inferences or beliefs. It is based on the notion that the brain is an organ of inference that actively constructs hypotheses to explain or predict its sensations. This perspective provides a normative account of action and perception that emphasises probabilistic representations; in particular, the confidence or precision of beliefs about the world. We consider sensory attenuation deficits, catatonia and delusions as various expressions of the same core pathology: namely, an aberrant (...)
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  44.  14
    Christian Wallmann & Gernot D. Kleiter (2014). Probability Propagation in Generalized Inference Forms. Studia Logica 102 (4):913-929.
    Probabilistic inference forms lead from point probabilities of the premises to interval probabilities of the conclusion. The probabilistic version of Modus Ponens, for example, licenses the inference from \({P(A) = \alpha}\) and \({P(B|A) = \beta}\) to \({P(B)\in [\alpha\beta, \alpha\beta + 1 - \alpha]}\) . We study generalized inference forms with three or more premises. The generalized Modus Ponens, for example, leads from \({P(A_{1}) = \alpha_{1}, \ldots, P(A_{n})= \alpha_{n}}\) and \({P(B|A_{1} \wedge \cdots \wedge A_{n}) = \beta}\) to an (...)
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  45.  56
    Bradley Rives (2014). Laws, the Inference Problem, and Uninstantiated Universals. Southern Journal of Philosophy 52 (4):496-520.
    The difficulties facing Humean regularity accounts of laws have led some philosophers to a theory that takes laws to be necessitation relations between universals. In this paper I evaluate David Armstrong's version of this theory by considering two of its key elements: its solution to the so-called “Inference Problem” and its denial of uninstantiated universals. After considering some potential problems with each of these elements on their own, I argue that Armstrong's solution to the Inference Problem and his (...)
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  46.  9
    Stefan Dragulinescu (2016). Inference to the Best Explanation and Mechanisms in Medicine. Theoretical Medicine and Bioethics 37 (3):211-232.
    This article considers the prospects of inference to the best explanation as a method of confirming causal claims vis-à-vis the medical evidence of mechanisms. I show that IBE is actually descriptive of how scientists reason when choosing among hypotheses, that it is amenable to the balance/weight distinction, a pivotal pair of concepts in the philosophy of evidence, and that it can do justice to interesting features of the interplay between mechanistic and population level assessments.
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  47. Mark Collier (2005). A New Look at Hume's Theory of Probabilistic Inference. Hume Studies 31 (1):21-36.
    We must rethink our assessment of Hume’s theory of probabilistic inference. Hume scholars have traditionally dismissed his naturalistic explanation of how we make inferences under conditions of uncertainty; however, psychological experiments and computer models from cognitive science provide substantial support for Hume’s account. Hume’s theory of probabilistic inference is far from obsolete or outdated; on the contrary, it stands at the leading edge of our contemporary science of the mind.
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  48.  59
    James V. Allen (2001). Inference From Signs: Ancient Debates About the Nature of Evidence. Oxford University Press.
    Original and penetrating, this book investigates of the notion of inference from signs, which played a central role in ancient philosophical and scientific method. It examines an important chapter in ancient epistemology: the debates about the nature of evidence and of the inferences based on it--or signs and sign-inferences as they were called in antiquity. As the first comprehensive treatment of this topic, it fills an important gap in the histories of science and philosophy.
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    Harmon R. Holcomb (1996). Just so Stories and Inference to the Best Explanation in Evolutionary Psychology. Minds and Machines 6 (4):525-540.
    Evolutionary psychology is a science in the making, working toward the goal of showing how psychological adaptation underlies much human behavior. The knee-jerk reaction that sociobiology is unscientific because it tells just-so stories has become a common charge against evolutionary psychology as well. My main positive thesis is that inference to the best explanation is a proper method for evolutionary analyses, and it supplies a new perspective on the issues raised in Schlinger's (1996) just-so story critique. My main negative (...)
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  50. Peter Slezak (2010). Doubts About Descartes' Indubitability: The Cogito as Intuition and Inference. Philosophical Forum 41 (4):389-412.
    Kirsten Besheer has recently considered Descartes’ doubting appropriately in the context of his physiological theories in the spirit of recent important re-appraisals of his natural philosophy. However, Besheer does not address the notorious indubitability and its source that Descartes claims to have discovered. David Cunning has remarked that Descartes’ insistence on the indubitability of his existence presents “an intractable problem of interpretation” in the light of passages that suggest his existence is “just as dubitable as anything else”. However, although the (...)
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