Search results for 'Defeasible reasoning' (try it on Scholar)

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  1. Robert C. Koons (2001). Defeasible Reasoning, Special Pleading and the Cosmological Argument: A Reply to Oppy. Faith and Philosophy 18 (2):192-203.score: 81.0
    This is a reply to a paper by Graham Oppy in the July, 1999 issue of this journal, “Koons’ Cosmological Argument.” Recent work in defeasible or nonmonotonic logic means that the cosmological argument can be cast in such a way that it does not presuppose that every contingent situation, without exception, has a cause. Instead, the burden of proof is shifted to the skeptic, who must produce positive reasons for thinking that the cosmos is an exception to the (...) law of causality. I show how Oppy’s critique can be turned into a plausible rebuttal of my argument. However, this rebuttal can be set aside when the original argument is supplemented by a plausible account of the nature of causal priority. Several independent lines of argument in support of this account are outlined. (shrink)
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  2. Jonathan Weisberg, Pollock's Theory of Defeasible Reasoning.score: 60.0
    An introduction to the motivations and mechanics of John Pollock's theory of defeasible reasoning, from a lecture at the Northern Institute of Philosophy in 2010.
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  3. Douglas Walton (forthcoming). Defeasible Reasoning and Informal Fallacies. Synthese.score: 60.0
    This paper argues that some traditional fallacies should be considered as reasonable arguments when used as part of a properly conducted dialog. It is shown that argumentation schemes, formal dialog models, and profiles of dialog are useful tools for studying properties of defeasible reasoning and fallacies. It is explained how defeasible reasoning of the most common sort can deteriorate into fallacious argumentation in some instances. Conditions are formulated that can be used as normative tools to judge (...)
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  4. Wolfgang Spohn (2002). A Brief Comparison of Pollock's Defeasible Reasoning and Ranking Functions. Synthese 131 (1):39-56.score: 60.0
    In this paper two theories of defeasible reasoning, Pollock's account and my theory of ranking functions, are compared, on a strategic level, since a strictly formal comparison would have been unfeasible. A brief summary of the accounts shows their basic difference: Pollock's is a strictly computational one, whereas ranking functions provide a regulative theory. Consequently, I argue that Pollock's theory is normatively defective, unable to provide a theoretical justification for its basic inference rules and thus an independent notion (...)
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  5. John Pollock, A Recursive Semantics for Defeasible Reasoning.score: 60.0
    One of the most striking characteristics of human beings is their ability to function successfully in complex environments about which they know very little. In light of our pervasive ignorance, we cannot get around in the world just reasoning deductively from our prior beliefs together with new perceptual input. As our conclusions are not guaranteed to be true, we must countenance the possibility that new information will lead us to change our minds, withdrawing previously adopted beliefs. In this sense, (...)
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  6. Fernando Tohmé, Claudio Delrieux & Otávio Bueno (2011). Defeasible Reasoning + Partial Models: A Formal Framework for the Methodology of Research Programs. Foundations of Science 16 (1):47-65.score: 60.0
    In this paper we show that any reasoning process in which conclusions can be both fallible and corrigible can be formalized in terms of two approaches: (i) syntactically, with the use of defeasible reasoning, according to which reasoning consists in the construction and assessment of arguments for and against a given claim, and (ii) semantically, with the use of partial structures, which allow for the representation of less than conclusive information. We are particularly interested in the (...)
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  7. Robert L. Causey (1991). The Epistemic Basis of Defeasible Reasoning. Minds and Machines 1 (4):437-458.score: 60.0
    This article argues that: (i) Defeasible reasoning is the use of distinctive procedures for belief revision when new evidence or new authoritative judgment is interpolated into a system of beliefs about an application domain. (ii) These procedures can be explicated and implemented using standard higher-order logic combined with epistemic assumptions about the system of beliefs. The procedures mentioned in (i) depend on the explication in (ii), which is largely described in terms of a Prolog program, EVID, which implements (...)
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  8. Robert L. Causey (2003). Computational Dialogic Defeasible Reasoning. Argumentation 17 (4):421-450.score: 60.0
    This article begins with an introduction to defeasible (nonmonotonic) reasoning and a brief description of a computer program, EVID, which can perform such reasoning. I then explain, and illustrate with examples, how this program can be applied in computational representations of ordinary dialogic argumentation. The program represents the beliefs and doubts of the dialoguers, and uses these propositional attitudes, which can include commonsense defeasible inference rules, to infer various changing conclusions as a dialogue progresses. It is (...)
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  9. John Pollock, Oscar: An Agent Architecture Based on Defeasible Reasoning.score: 60.0
    Proceedings of the 2008 AAAI Spring Symposium on Architectures for Intelligent Theory-Based Agents. “OSCAR is a fully implemented architecture for a cognitive agent, based largely on the author’s work in philosophy concerning epistemology and practical cognition. The seminal idea is that a generally intelligent agent must be able to function in an environment in which it is ignorant of most matters of fact. The architecture incorporates a general-purpose defeasible reasoner, built on top of an efficient natural deduction reasoner for (...)
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  10. Timothy R. Colburn (1991). Defeasible Reasoning and Logic Programming. Minds and Machines 1 (4):417-436.score: 60.0
    The general conditions of epistemic defeat are naturally represented through the interplay of two distinct kinds of entailment, deductive and defeasible. Many of the current approaches to modeling defeasible reasoning seek to define defeasible entailment via model-theoretic notions like truth and satisfiability, which, I argue, fails to capture this fundamental distinction between truthpreserving and justification-preserving entailments. I present an alternative account of defeasible entailment and show how logic programming offers a paradigm in which the (...)
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  11. D. Gabbay & P. Smets (eds.) (1998). Handbook of Defeasible Reasoning and Uncertainty Management Systems, Vol 3. Kluwer Academic Pub.score: 60.0
    HANDBOOK OF DEFEASIBLE REASONING AND UNCERTAINTY MANAGEMENT SYSTEMS EDITORS: DOV M. ... and A. Hunter Volume 3: Belief Change Edited by D. Dubois and H. Prade HANDBOOK OF DEFEASIBLE REASONING AND ...
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  12. Timothy R. Colburn (1991). Program Verification, Defeasible Reasoning, and Two Views of Computer Science. Minds and Machines 1 (1).score: 57.0
    In this paper I attempt to cast the current program verification debate within a more general perspective on the methodologies and goals of computer science. I show, first, how any method involved in demonstrating the correctness of a physically executing computer program, whether by testing or formal verification, involves reasoning that is defeasible in nature. Then, through a delineation of the senses in which programs can be run as tests, I show that the activities of testing and formal (...)
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  13. John F. Horty (2001). Argument Construction and Reinstatement in Logics for Defeasible Reasoning. Artificial Intelligence and Law 9 (1).score: 57.0
    This paper points out some problems with two recent logical systems – one due to Prakken and Sartor, the other due to Kowalski and Toni – designedfor the representation of defeasible arguments in general, but with a specialemphasis on legal reasoning.
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  14. John Pollock (2001). ``Defeasible Reasoning with Variable Degrees of Justification&Quot. Artificial Intelligence 133:233-282.score: 51.0
    The question addressed in this paper is how the degree of justification of a belief is determined. A conclusion may be supported by several different arguments, the arguments typically being defeasible, and there may also be arguments of varying strengths for defeaters for some of the supporting arguments. What is sought is a way of computing the “on sum” degree of justification of a conclusion in terms of the degrees of justification of all relevant premises and the strengths of (...)
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  15. G. Aldo Antonelli (1996). Defeasible Reasoning as a Cognitive Model. In Krister Segerberg (ed.), The Parikh Project. Seven Papers in Honour of Rohit. Uppsala Prints & Preprints in Philosophy.score: 51.0
    One of the most important developments over the last twenty years both in logic and in Artificial Intelligence is the emergence of so-called non-monotonic logics. These logics were initially developed by McCarthy [10], McDermott & Doyle [13], and Reiter [17]. Part of the original motivation was to provide a formal framework within which to model cognitive phenomena such as defeasible inference and defeasible knowledge representation, i.e., to provide a formal account of the fact that reasoners can reach conclusions (...)
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  16. Robert C. Koons (2001). Defeasible Reasoning, Special Pleading and the Cosmological Argument. Faith and Philosophy 18 (2):192-203.score: 51.0
    This is a reply to a paper by Graham Oppy in the July, 1999 issue of this journal, “Koons’ Cosmological Argument.” Recent work in defeasible or nonmonotonic logic means that the cosmological argument can be cast in such a way that it does not presuppose that every contingent situation, without exception, has a cause. Instead, the burden of proof is shifted to the skeptic, who must produce positive reasons for thinking that the cosmos is an exception to the (...) law of causality. I show how Oppy’s critique can be turned into a plausible rebuttal of my argument. However, this rebuttal can be set aside when the original argument is supplemented by a plausible account of the nature of causal priority. Several independent lines of argument in support of this account are outlined. (shrink)
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  17. G. Aldo Antonelli (2005). Grounded Consequence for Defeasible Logic. Cambridge University Press.score: 51.0
    This is a title on the foundations of defeasible logic, which explores the formal properties of everyday reasoning patterns whereby people jump to conclusions, reserving the right to retract them in the light of further information. Although technical in nature the book contains sections that outline basic issues by means of intuitive and simple examples. This book is primarily targeted at philosophers interested in the foundations of defeasible logic, logicians, and specialists in artificial intelligence and theoretical computer (...)
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  18. John Pollock (1987). Defeasible Reasoning. Cognitive Science 11:481-518.score: 48.0
    There was a long tradition in philosophy according to which good reasoning had to be deductively valid. However, that tradition began to be questioned in the 1960’s, and is now thoroughly discredited. What caused its downfall was the recognition that many familiar kinds of reasoning are not deductively valid, but clearly confer justification on their conclusions. Here are some simple examples.
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  19. Douglas Walton (2011). Reasoning About Knowledge Using Defeasible Logic. Argument and Computation 2 (2-3):131 - 155.score: 48.0
    In this paper, the Carneades argumentation system is extended to represent a procedural view of inquiry in which evidence is marshalled to support or defeat claims to knowledge. The model is a sequence of moves in a collaborative group inquiry in which parties take turns making assertions about what is known or not known, putting forward evidence to support them, and subjecting these moves to criticisms. It is shown how this model of evaluating evidence in an inquiry is based on (...)
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  20. Timothy R. Colburn (1995). Heuristics, Justification, and Defeasible Reasoning. Minds and Machines 5 (4):467-487.score: 48.0
    Heuristics can be regarded as justifying the actions and beliefs of problem-solving agents. I use an analysis of heuristics to argue that a symbiotic relationship exists between traditional epistemology and contemporary artificial intelligence. On one hand, the study of models of problem-solving agents usingquantitative heuristics, for example computer programs, can reveal insight into the understanding of human patterns of epistemic justification by evaluating these models'' performance against human problem-solving. On the other hand,qualitative heuristics embody the justifying ability of defeasible (...)
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  21. Henry Prakken (1996). Two Approaches to the Formalisation of Defeasible Deontic Reasoning. Studia Logica 57 (1):73 - 90.score: 48.0
    This paper compares two ways of formalising defeasible deontic reasoning, both based on the view that the issues of conflicting obligations and moral dilemmas should be dealt with from the perspective of nonmonotonic reasoning. The first way is developing a special nonmonotonic logic for deontic statements. This method turns out to have some limitations, for which reason another approach is recommended, viz. combining an already existing nonmonotonic logic with a deontic logic. As an example of this method (...)
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  22. Katsumi Nitta & Masato Shibasaki (1997). Defeasible Reasoning in Japanese Criminal Jurisprudence. Artificial Intelligence and Law 5 (1-2).score: 48.0
    Modeling legal argumentation is one of the most important research in AI and Law, and a lot of models have been proposed. However, most research has not treated value judgement and debate. In this paper, we introduce a legal reasoning model which covers various aspects of legalreasoning such as making argument, selecting argument and debate.Furthermore, we present how criminal law is described and reasoned inthis model.
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  23. Stewart Cohen (2010). Bootstrapping, Defeasible Reasoning, and a Priori Justification. Philosophical Perspectives 24 (1):141-159.score: 45.0
  24. Robert C. Koons, Defeasible Reasoning. Stanford Encyclopedia of Philosophy.score: 45.0
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  25. Pollock † & L. John (2011). Defeasible Reasoning and Degrees of Justification. Argument and Computation 1 (1):7-22.score: 45.0
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  26. Robert Alexy (2000). Henry Prakken (1997), Logical Tools for Modelling Legal Argument. A Study of Defeasible Reasoning in Law. Argumentation 14 (1):65-72.score: 45.0
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  27. R. P. Loui (1999). Review of H. Prakken, Logical Tools for Modelling Legal Argument. A Study of Defeasible Reasoning in Law. [REVIEW] Journal of Symbolic Logic 64 (4):1840-1841.score: 45.0
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  28. L. M. M. Royakkers (2000). Henry Prakken, Logical Tools for Modelling Legal Argument: A Study of Defeasible Reasoning in Law. Journal of Logic, Language and Information 9 (3):379-387.score: 45.0
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  29. Bart Verheij (2000). Henry Prakken (1997). Logical Tools for Modelling Legal Argument. A Study of Defeasible Reasoning in Law. Artificial Intelligence and Law 8 (1).score: 45.0
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  30. Jan Albert Laar (forthcoming). J. Anthony Blair and Ralph H. Johnson (Eds): Conductive Argument: An Overlooked Type of Defeasible Reasoning. [REVIEW] Argumentation:1-8.score: 45.0
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  31. Gerard A. W. Vreeswijk (1995). The Computational Value of Debate in Defeasible Reasoning. Argumentation 9 (2):305-342.score: 45.0
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  32. Giuseppe Primiero (2012). A Contextual Type Theory with Judgemental Modalities for Reasoning From Open Assumptions. Logique and Analyse 220:579-600.score: 42.0
    Contextual type theories are largely explored in their applications to programming languages, but less investigated for knowledge representation purposes. The combination of a constructive language with a modal extension of contexts appears crucial to explore the attractive idea of a type-theoretical calculus of provability from refutable assumptions for non-monotonic reasoning. This paper introduces such a language: the modal operators are meant to internalize two different modes of correctness, respectively with necessity as the standard notion of constructive verification and possibility (...)
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  33. Gilbert Plumer & Kenneth Olson (2007). Reasoning From Conflicting Sources. In Hans V. Hansen, Christopher W. Tindale, J. Anthony Blair, Ralph H. Johnson & David M. Godden (eds.), Dissensus and the Search for Common Ground. Proceedings 2007 [CD-ROM]. Ontario Society for the Study of Argumentation.score: 40.0
    One might ask of two or more texts—what can be inferred from them, taken together? If the texts happen to contradict each other in some respect, then the unadorned answer of standard logic is EVERYTHING. But it seems to be a given that we often successfully reason with inconsistent information from multiple sources. The purpose of this paper is to attempt to develop an adequate approach to accounting for this given.
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  34. Marvin Belzer (1986). Reasoning with Defeasible Principles. Synthese 66 (1):135 - 158.score: 36.0
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  35. Guy Politzer (2005). Uncertainty and the Suppression of Inferences. Thinking and Reasoning 11 (1):5 – 33.score: 36.0
    The explanation of the suppression of Modus Ponens inferences within the framework of linguistic pragmatics and of plausible reasoning (i.e., deduction from uncertain premises) is defended. First, this approach is expounded, and then it is shown that the results of the first experiment of Byrne, Espino, and Santamar a (1999) support the uncertainty explanation but fail to support their counterexample explanation. Second, two experiments are presented. In the first one, aimed to refute one objection regarding the conclusions observed, the (...)
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  36. Robert C. Koons (2008). A New Look at the Cosmological Argument. American Philosophical Quarterly 34 (2):193-212.score: 30.0
    The cosmological argument for God’s existence has a long history, but perhaps the most influential version of it has been the argument from contingency. This is the version that Frederick Copleston pressed upon Bertrand Russell in their famous debate about God’s existence in 1948 (printed in Russell’s 1957 Why I am not a Christian). Russell’s lodges three objections to the Thomistic argument.
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  37. Jonathan Eric Adler & Lance J. Rips (eds.) (2008). Reasoning: Studies of Human Inference and its Foundations. Cambridge University Press.score: 27.0
    This interdisciplinary work is a collection of major essays on reasoning: deductive, inductive, abductive, belief revision, defeasible (non-monotonic), cross cultural, conversational, and argumentative. They are each oriented toward contemporary empirical studies. The book focuses on foundational issues, including paradoxes, fallacies, and debates about the nature of rationality, the traditional modes of reasoning, as well as counterfactual and causal reasoning. It also includes chapters on the interface between reasoning and other forms of thought. In general, this (...)
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  38. Charles B. Cross (1990). Belief Revision, Non-Monotonic Reasoning, and the Ramsey Test. In Kyburg Henry E., Loui Ronald P. & Carlson Greg N. (eds.), Knowledge Representation and Defeasible Reasoning. Kluwer.score: 27.0
    Peter Gärdenfors has proved (Philosophical Review, 1986) that the Ramsey rule and the methodologically conservative Preservation principle are incompatible given innocuous-looking background assumptions about belief revision. Gärdenfors gives up the Ramsey rule; I argue for preserving the Ramsey rule and interpret Gärdenfors's theorem as showing that no rational belief-reviser can avoid reasoning nonmonotonically. I argue against the Preservation principle and show that counterexamples to it always involve nonmonotonic reasoning. I then construct a new formal model of belief revision (...)
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  39. John Pollock, Reasoning Defeasibly About Probabilities.score: 25.0
    In concrete applications of probability, statistical investigation gives us knowledge of some probabilities, but we generally want to know many others that are not directly revealed by our data. For instance, we may know prob(P/Q) (the probability of P given Q) and prob(P/R), but what we really want is prob(P/Q&R), and we may not have the data required to assess that directly. The probability calculus is of no help here. Given prob(P/Q) and prob(P/R), it is consistent with the probability calculus (...)
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  40. Floris Bex, Henry Prakken, Chris Reed & Douglas Walton (2003). Towards a Formal Account of Reasoning About Evidence: Argumentation Schemes and Generalisations. Artificial Intelligence and Law 11 (2-3):125-165.score: 24.0
    This paper studies the modelling of legal reasoning about evidence within general theories of defeasible reasoning and argumentation. In particular, Wigmore's method for charting evidence and its use by modern legal evidence scholars is studied in order to give a formal underpinning in terms of logics for defeasible argumentation. Two notions turn out to be crucial, viz. argumentation schemes and empirical generalisations.
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  41. John Pollock, Perceiving and Reasoning About a Changing World.score: 24.0
    A rational agent (artificial or otherwise) residing in a complex changing environment must gather information perceptually, update that information as the world changes, and combine that information with causal information to reason about the changing world. Using the system of defeasible reasoning that is incorporated into the OSCAR architecture for rational agents, a set of reasonschemas is proposed for enabling an agent to perform some of the requisite reasoning. Along the way, solutions are proposed for the Frame (...)
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  42. John Pollock, Reasoning Defeasibly About Plans.score: 24.0
    This technical report describes the construction of an experimental planner that finds plans by reasoning about them defeasibly rather than by running a search algorithm. The need for such a planner is defended in the paper “The Logical Foundations of Goal-Regression Planning”.
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  43. Lawrence Cavedon (1998). Default Reasoning as Situated Monotonic Inference. Minds and Machines 8 (4):509-531.score: 24.0
    Since its inception, situation theory has been concerned with the situated nature of meaning and cognition, a theme which has also recently gained some prominence in Artificial Intelligence. Channel theory is a recently developed framework which builds on concepts introduced in situation theory, in an attempt to provide a general theory of information flow. In particular, the channel theoretic framework offers an account of fallible regularities, regularities which provide enough structure to an agent's environment to support efficient cognitive processing but (...)
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  44. John W. Bender (1995). General but Defeasible Reasons in Aesthetic Evaluation: The Particularist/Generalist Dispute. Journal of Aesthetics and Art Criticism 53 (4):379-392.score: 21.0
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  45. Heath White (2006). Desires in Practical Reasoning. Philosophical Studies 129 (2):197 - 221.score: 21.0
    Inferences from desired ends to intended necessary means seem to be among the most unproblematic elements of practical reasoning. A closer look dissolves this appearance, however, when we see that such inferences are defeasible. We can nevertheless understand such inferences as leading to the adoption of plans, by analogy with inferences leading to explanations. Plans should satisfy at least some important ends desired by the agent, be consistent with the satisfaction of other desired ends, and be inconsistent with (...)
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  46. H. Prakken & G. Sartor (1996). A Dialectical Model of Assessing Conflicting Arguments in Legal Reasoning. Artificial Intelligence and Law 4 (3-4):331-368.score: 21.0
    Inspired by legal reasoning, this paper presents a formal framework for assessing conflicting arguments. Its use is illustrated with applications to realistic legal examples, and the potential for implementation is discussed. The framework has the form of a logical system for defeasible argumentation. Its language, which is of a logic-programming-like nature, has both weak and explicit negation, and conflicts between arguments are decided with the help of priorities on the rules. An important feature of the system is that (...)
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  47. Matthew Stone, Partial Order Reasoning for a Nonmonotonic Theory of Action.score: 21.0
    This paper gives a new, proof-theoretic explanation of partial-order reasoning about time in a nonmonotonic theory of action. The explanation relies on the technique of lifting ground proof systems to compute results using variables and unification. The ground theory uses argumentation in modal logic for sound and complete reasoning about specifications whose semantics follows Gelfond and Lifschitz’s language . The proof theory of modal logic A represents inertia by rules that can be instantiated by sequences of time steps (...)
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  48. Guy Politzer & Jean-françois Bonnefon (2006). Two Varieties of Conditionals and Two Kinds of Defeaters Help Reveal Two Fundamental Types of Reasoning. Mind and Language 21 (4):484–503.score: 21.0
    Two notions from philosophical logic and linguistics are brought together and applied to the psychological study of defeasible conditional reasoning. The distinction between disabling conditions and alternative causes is shown to be a special case of Pollock's (1987) distinction between 'rebutting' and 'undercutting' defeaters. 'Inferential' conditionals are shown to come in two varieties, one that is sensitive to rebutters, the other to undercutters. It is thus predicted and demonstrated in two experiments that the type of inferential conditional used (...)
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  49. Daniele Sgaravatti (forthcoming). Scepticism, Defeasible Evidence and Entitlement. Philosophical Studies:1-17.score: 21.0
    The paper starts by describing and clarifying what Williamson calls the consequence fallacy. I show two ways in which one might commit the fallacy. The first, which is rather trivial, involves overlooking background information; the second way, which is the more philosophically interesting, involves overlooking prior probabilities. In the following section, I describe a powerful form of sceptical argument, which is the main topic of the paper, elaborating on previous work by Huemer. The argument attempts to show the impossibility of (...)
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  50. Douglas Walton (2007). Evaluating Practical Reasoning. Synthese 157 (2):197 - 240.score: 21.0
    In this paper, the defeasible argumentation scheme for practical reasoning (Walton 1990) is revised. To replace the old scheme, two new schemes are presented, each with a matching set of critical questions. One is a purely instrumental scheme, while the other is a more complex scheme that takes values into account. It is argued that a given instance of practical reasoning can be evaluated, using schemes and sets of critical questions, in three ways: by attacking one (...)
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  51. Frederick Maier & Donald Nute (forthcoming). Well-Founded Semantics for Defeasible Logic. Synthese.score: 21.0
    Fixpoint semantics are provided for ambiguity blocking and propagating variants of Nute’s defeasible logic. The semantics are based upon the well-founded semantics for logic programs. It is shown that the logics are sound with respect to their counterpart semantics and complete for locally finite theories. Unlike some other nonmonotonic reasoning formalisms such as Reiter’s default logic, the two defeasible logics are directly skeptical and so reject floating conclusions. For defeasible theories with transitive priorities on defeasible (...)
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  52. Paul D. Thorn (forthcoming). Defeasible Conditionalization. Journal of Philosophical Logic:1-20.score: 21.0
    The applicability of Bayesian conditionalization in setting one’s posterior probability for a proposition, α, is limited to cases where the value of a corresponding prior probability, PPRI(α|∧E), is available, where ∧E represents one’s complete body of evidence. In order to extend probability updating to cases where the prior probabilities needed for Bayesian conditionalization are unavailable, I introduce an inference schema, defeasible conditionalization, which allows one to update one’s personal probability in a proposition by conditioning on a proposition that represents (...)
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  53. Markos Valaris (forthcoming). Reasoning and Regress. Mind.score: 18.0
    Regress arguments have convinced many that reasoning cannot require beliefs about what follows from what. In this paper I argue that this is a mistake. Regress arguments rest on dubious (although deeply entrenched) assumptions about the nature of reasoning—most prominently, the assumption that believing p by reasoning is simply a matter of having a belief in p with the right causal ancestry. I propose an alternative account, according to which beliefs about what follows from what play a (...)
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  54. Anne Thomson (2002). Critical Reasoning: A Practical Introduction. Routledge.score: 18.0
    Do other people's arguments tie you in knots? Do you lack the confidence in your ability to reason? Do you assume that everything written in newspapers must be true? We all engage in the process of reasoning, but we don't always pay attention to whether we are doing it well. This book offers the opportunity to practice reasoning in a clear-headed and critical way, with the aims of developing an awareness of the importance of reasoning well, and (...)
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  55. J. Brown (2000). Critical Reasoning, Understanding and Self-Knowledge. Philosophy and Phenomenological Research 61 (3):659-676.score: 18.0
    Following Burge, many anti-individualists suppose that a subject can possess a concept even if she incompletely understands it. While agreeing that this is possible, I argue that there is a limit on the extent to which a subject can incompletely understand the set of concepts she thinks with. This limit derives from our conception of our ability to reflectively evaluate our own thoughts or, as Burge puts it, our ability to engage in critical reasoning. The paper extends Burge's own (...)
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  56. Robert W. Batterman (2002). The Devil in the Details: Asymptotic Reasoning in Explanation, Reduction, and Emergence. Oxford University Press.score: 18.0
    Robert Batterman examines a form of scientific reasoning called asymptotic reasoning, arguing that it has important consequences for our understanding of the scientific process as a whole. He maintains that asymptotic reasoning is essential for explaining what physicists call universal behavior. With clarity and rigor, he simplifies complex questions about universal behavior, demonstrating a profound understanding of the underlying structures that ground them. This book introduces a valuable new method that is certain to fill explanatory gaps across (...)
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  57. Anne Thomson (1999). Critical Reasoning in Ethics: A Practical Introduction. Routledge.score: 18.0
    This book is an accessible introduction that will enable students, through practical exercises, to develop their own skills in reasoning about ethical issues, including analyzing and evaluating arguments used in discussions of ethical issues; analyzing and evaluating ethical concepts, such as utilitarianism; making decisions on ethical issues; and learning how to approach ethical issues in a fair minded way. The issues discussed in the book include abortion, euthanasia, capital punishment, animal rights, the environment and war. The book will be (...)
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  58. Gilbert Harman (1999). Reasoning, Meaning, and Mind. Oxford University Press.score: 18.0
    In this important new collection, Gilbert Harman presents a selection of fifteen interconnected essays on fundamental issues at the center of analytic philosophy. The book opens with a group of four essays discussing basic principles of reasoning and rationality. The next three essays argue against the once popular idea that certain claims are true and knowable by virtue of meaning. In the third group of essays Harman presents his own view of meaning and the possibility of thinking in language (...)
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  59. Robert Audi (1989). Practical Reasoning. Routledge.score: 18.0
    Practical Reasoning and Ethical Decision presents an account of practical reasoning as a process that can explain action, connect reasoning with intention, ...
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  60. Peter Carruthers (2002). The Roots of Scientific Reasoning: Infancy, Modularity, and the Art of Tracking. In Peter Carruthers, Stephen P. Stich & Michael Siegal (eds.), [Book Chapter]. Cambridge University Press.score: 18.0
    This chapter examines the extent to which there are continuities between the cognitive processes and epistemic practices engaged in by human hunter-gatherers, on the one hand, and those which are distinctive of science, on the other. It deploys anthropological evidence against any form of 'no-continuity' view, drawing especially on the cognitive skills involved in the art of tracking. It also argues against the 'child-as-scientist' accounts put forward by some developmental psychologists, which imply that scientific thinking is present in early infancy (...)
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  61. Jonathan Phillips & Liane Young (2011). Apparent Paradoxes in Moral Reasoning; Or How You Forced Him to Do It, Even Though He Wasn’T Forced to Do It. Proceedings of the Thirty-Third Annual Conference of the Cognitive Science Society:138-143.score: 18.0
    The importance of situational constraint for moral evaluations is widely accepted in philosophy, psychology, and the law. However, recent work suggests that this relationship is actually bidirectional: moral evaluations can also influence our judgments of situational constraint. For example, if an agent is thought to have acted immorally rather than morally, that agent is often judged to have acted with greater freedom and under less situational constraint. Moreover, when considering interpersonal situations, we judge that an agent who forces another to (...)
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  62. Peter Carruthers (2004). Practical Reasoning in a Modular Mind. Mind and Language 19 (3):259-278.score: 18.0
    This paper starts from an assumption defended in the author's previous work. This is that distinctivelyhuman flexible and creative theoretical thinking can be explained in terms of the interactions of a variety of modular systems, with the addition of just a few amodular components and dispositions. On the basis of that assumption it is argued that distinctively human practical reasoning, too, can be understood in modular terms. The upshot is that there is nothing in the human psyche that requires (...)
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  63. Christian Miller (2007). The Structure of Instrumental Practical Reasoning. Philosophy and Phenomenological Research 75 (1):1-40.score: 18.0
    The view to be defended in this paper is intended to be a novel and compelling model of instrumental practical reasoning, reasoning aimed at determining how to act in order to achieve a given end in a certain set of circumstances. On standard views of instrumental reasoning, the end in question is the object of a particular desire that the agent has, a desire which, when combined with the agent’s beliefs about what means are available to him (...)
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  64. Julia Staffel (forthcoming). Can There Be Reasoning with Degrees of Belief? Synthese.score: 18.0
    In this paper I am concerned with the question of whether degrees of belief can figure in reasoning processes that are executed by humans. It is generally accepted that outright beliefs and intentions can be part of reasoning processes, but the role of degrees of belief remains unclear. The literature on subjective Bayesianism, which seems to be the natural place to look for discussions of the role of degrees of belief in reasoning, does not address the question (...)
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  65. Gerhard Brewka (1991). Nonmonotonic Reasoning: Logical Foundations of Commonsense. Cambridge University Press.score: 18.0
    In this book the author gives a broad overview of different areas of research in nonmonotonic reasoning, and presents some new results and ideas based on his research. The guiding principles are: clarification of the different research activities in the area, which have sometimes been undertaken independently of each other; and appreciation of the fact that these research activities often represent different means to the same ends, namely sound theoretical foundations and efficient computation. The book begins with a discussion (...)
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  66. Rachel McKinnon (2011). Lotteries, Knowledge, and Practical Reasoning. Logos and Episteme 2 (2):225-231.score: 18.0
    This paper addresses an argument offered by John Hawthorne gainst the propriety of an agent’s using propositions she does not know as premises in practical reasoning. I will argue that there are a number of potential structural confounds in Hawthorne’s use of his main example, a case of practical reasoning about a lottery. By drawing these confounds out more explicitly, we can get a better sense of how to make appropriate use of such examples in theorizing about norms, (...)
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  67. Hans Rott (2001). Change, Choice and Inference: A Study of Belief Revision and Nonmonotonic Reasoning. Oxford University Press.score: 18.0
    Change, Choice and Inference develops logical theories that are necessary both for the understanding of adaptable human reasoning and for the design of intelligent systems. The book shows that reasoning processes - the drawing on inferences and changing one's beliefs - can be viewed as belonging to the realm of practical reason by embedding logical theories into the broader context of the theory of rational choice. The book unifies lively and significant strands of research in logic, philosophy, economics (...)
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  68. Edna Ullmann-Margalit (ed.) (2000). Reasoning Practically. Oxford University Press.score: 18.0
    Reasoning Practically deals with a classical philosophical topic, the link between thought and action--how we think about what we do or ought to do, and how we move from thinking to doing. The essays by such renowned contributors as Donald Davidson, Barry Stroud, Cass R. Sunstein, Seyla Benhabib, and Gerald Dworkin, cover a range of issues raised when we link reason and practice. This collection connects state-of-the-art philosophical work with concrete issues in social life and political practice, making it (...)
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  69. Isaac Levi (1996). For the Sake of the Argument: Ramsey Test Conditionals, Inductive Inference, and Nonmonotonic Reasoning. Cambridge University Press.score: 18.0
    This book by one of the world's foremost philosophers in the fields of epistemology and logic offers an account of suppositional reasoning relevant to practical deliberation, explanation, prediction and hypothesis testing. Suppositions made 'for the sake of argument' sometimes conflict with our beliefs, and when they do, some beliefs are rejected and others retained. Thanks to such belief contravention, adding content to a supposition can undermine conclusions reached without it. Subversion can also arise because suppositional reasoning is ampliative. (...)
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  70. Scott Brewer (ed.) (1998). Moral Theory and Legal Reasoning. Garland Pub..score: 18.0
    The articles in this volume consider at what stage of legal reasoning should a judge or lawyer make specifically moral judgments.
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  71. K. Helmut Reich (2002). Developing the Horizons of the Mind: Relational and Contextual Reasoning and the Resolution of Cognitive Conflict. Cambridge University Press.score: 18.0
    This book is about Relational and Contextual Reasoning (RCR), a new theory of the human mind that addresses key areas of human conflict, such as the ideological conflict between nations, in close relationships and between science and religion. K. Helmut Reich provides a clear and accessible introduction to the RCR way of thinking that encourages an inclusive rather than oppositional approach to conflict and problem-solving.
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  72. John Koethe (2005). Scepticism, Knowledge, and Forms of Reasoning. Cornell University Press.score: 18.0
    Scepticism, Knowledge, and Forms of Reasoning is an attempt to resolve how best to respond to such vexing arguments, a matter on which there is no consensus ...
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  73. Ronald Fagin (ed.) (2003). Reasoning About Knowledge. Mit Press.score: 18.0
    Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed ...
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  74. Adam Morton (2011). Conventional Norms of Reasoning. Dialogue 50 (02):247-260.score: 18.0
    I describe conventions not of correct reasoning but of giving and taking advice about reasoning. This article is asn anticipation of part of the first chapter of my forthcoming *Bounded Thinking*, OUP 2012.
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  75. Raymond S. Nickerson (1986). Reflections on Reasoning. L. Erlbaum Associates.score: 18.0
    Introduction This book is about reasoning. It is not a textbook in the conventional sense. Nor does it provide a prescription for how to reason effectively. ...
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  76. Renée Elio (ed.) (2002). Common Sense, Reasoning, & Rationality. Oxford University Press.score: 18.0
    As the eleventh volume in the New Directions in Cognitive Science series (formerly the Vancouver Studies in Cognitive Science series), this work promises superb scholarship and interdisciplinary appeal. It addresses three areas of current and varied interest: common sense, reasoning, and rationality. While common sense and rationality often have been viewed as two distinct features in a unified cognitive map, this volume offers novel, even paradoxical, views of the relationship. Comprised of outstanding essays from distinguished philosophers, it considers what (...)
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  77. Roger Florka (2001). Descartes's Metaphysical Reasoning. Routledge.score: 18.0
    This study argues that Descartes's conception of rationality presupposes that the order of reasoning essentially obeys his metaphysical categories. It takes to the next level the current trend in de-emphasizing his purported epistemology in favor of his unique metaphysics of cognition.
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  78. Magdalena Balcerak Jackson & Brendan Balcerak Jackson (2013). Reasoning as a Source of Justification. Philosophical Studies 164 (1):113-126.score: 18.0
    In this essay we argue that reasoning can sometimes generate epistemic justification, rather than merely transmitting justification that the subject already possesses to new beliefs. We also suggest a way to account for it in terms of the relationship between epistemic normative requirements, justification and cognitive capacities.
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  79. Douglas N. Walton (1996). Argumentation Schemes for Presumptive Reasoning. L. Erlbaum Associates.score: 18.0
    This book identifies 25 argumentation schemes for presumptive reasoning and matches a set of critical questions to each.
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  80. Natalie Gold (forthcoming). Team Reasoning, Framing and Self-Control: An Aristotelian Account. In Neil Levy (ed.), Addiction and SelfControl.score: 18.0
    Decision theory explains weakness of will as the result of a conflict of incentives between different transient agents. In this framework, self-control can only be achieved by the I-now altering the incentives or choice-sets of future selves. There is no role for an extended agency over time. However, it is possible to extend game theory to allow multiple levels of agency. At the inter-personal level, theories of team reasoning allow teams to be agents, as well as individuals. I apply (...)
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  81. Aaron Cardon & J. S. Blumenthal-Barby (2011). Should Repugnance Give Us Pause? On the Neuroscience of Daily Moral Reasoning. American Journal of Bioethics- Neuroscience 2 (2):47-48.score: 18.0
    In our commentary we briefly review the work on the neurological differences between the rational ethical analysis used in professional contexts and the reflexive emotional responses of our daily moral reasoning, and discuss the implications for the claim that our normative arguments should not rely on the emotion of repugnance.
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  82. Guy Politzer & Laura Macchi (2000). Reasoning and Pragmatics. Mind and Society 1 (1):73-93.score: 18.0
    Language pragmatics is applied to analyse problem statements and instructions used in a few influential experimental tasks in the psychology of reasoning. This analysis aims to determine the interpretation of the task which the participant is likely to construct. It is applied to studies of deduction (where the interpretation of quantifiers and connectives is crucial) and to studies of inclusion judgment and probabilistic judgment. It is shown that the interpretation of the problem statements or even the representation of the (...)
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  83. Rachel McKinnon (2012). What I Learned in the Lunch Room About Assertion and Practical Reasoning. Logos and Episteme 3 (4):565-569.score: 18.0
    It is increasingly argued that there is a single unified constitutive norm of both assertion and practical reasoning. The most common suggestion is that knowledge is this norm. If this is correct, then we would expect that a diagnosis of problematic assertions should manifest as problematic reasons for acting. Jennifer Lackey has recently argued that assertions epistemically grounded in isolated second-hand knowledge (ISHK) are unwarranted. I argue that decisions epistemically grounded in premises based on ISHK also seem inappropriate. I (...)
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  84. Khalil Abdur-Rashid, Steven Woodward Furber & Taha Abdul-Basser (2013). Lifting the Veil: A Typological Survey of the Methodological Features of Islamic Ethical Reasoning on Biomedical Issues. Theoretical Medicine and Bioethics 34 (2):81-93.score: 18.0
    We survey the meta-ethical tools and institutional processes that traditional Islamic ethicists apply when deliberating on bioethical issues. We present a typology of these methodological elements, giving particular attention to the meta-ethical techniques and devices that traditional Islamic ethicists employ in the absence of decisive or univocal authoritative texts or in the absence of established transmitted cases. In describing how traditional Islamic ethicists work, we demonstrate that these experts possess a variety of discursive tools. We find that the ethical responsa—i.e., (...)
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  85. Georg Theiner (2007). Where Syllogistic Reasoning Happens: An Argument for the Extended Mind Hypothesis. In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society.score: 18.0
    Does cognition sometimes literally extend into the extra-organismic environment (Clark, 2003), or is it always “merely” environmentally embedded (Rupert, 2004)? Underlying this current border dispute is the question about how to individuate cognitive processes on principled grounds. Based on recent evidence about the active role of representation selection and construction in learning how to reason (Stenning, 2002), I raise the question: what makes two distinct, modality-specific pen-and-paper manipulations of external representations – diagrams versus sentences – cognitive processes of the same (...)
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  86. Taeda Tomić (forthcoming). False Dilemma: A Systematic Exposition. Argumentation:1-22.score: 18.0
    False dilemma is a specific form of reasoning: despite the fact that it is based on a deductively valid argument form, it is rightly depicted as fallacy. A systematic exposition of false dilemma is missing in theoretical approaches to fallacies. This article formulates six criteria for a well-grounded exposition of a fallacy, suggesting also a systematic exposition of false dilemma. These criteria can be used to both explain, and categorise, the various false dilemma fallacies. The article introduces distinction between (...)
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  87. Adrian P. Banks (2013). The Influence of Activation Level on Belief Bias in Relational Reasoning. Cognitive Science 37 (3):544-577.score: 18.0
    A novel explanation of belief bias in relational reasoning is presented based on the role of working memory and retrieval in deductive reasoning, and the influence of prior knowledge on this process. It is proposed that belief bias is caused by the believability of a conclusion in working memory which influences its activation level, determining its likelihood of retrieval and therefore its effect on the reasoning process. This theory explores two main influences of belief on the activation (...)
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  88. Francis Watanabe Dauer (1989). Critical Thinking: An Introduction to Reasoning. Oxford University Press.score: 18.0
    A demanding introduction to logic and critical thinking, this book offers more traditional means of teaching the art of reasoning at a time when the field has become almost mathematical. Francis Dauer has rethought the framework for teaching reasoning in general and formal logic in particular, the desired epistemological context, and the role of the fallacies. The result is a coherent and very readable work, informed by Dauer's extensive experience teaching and writing on the subject.
     
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  89. Joanna Golinska-Pilarek & Emilio Munoz Velasco (2012). Reasoning with Qualitative Velocity: Towards a Hybrid Approach. In Emilio Corchado, Vaclav Snasel, Ajith Abraham, Michał Woźniak, Manuel Grana & Sung-Bae Cho (eds.), Hybrid Artificial Intelligent Systems. Springer.score: 18.0
    Qualitative description of the movement of objects can be very important when there are large quantity of data or incomplete information, such as in positioning technologies and movement of robots. We present a first step in the combination of fuzzy qualitative reasoning and quantitative data obtained by human interaction and external devices as GPS, in order to update and correct the qualitative information. We consider a Propositional Dynamic Logic which deals with qualitative velocity and enables us to represent some (...)
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  90. Leo Groarke (2008). Good Reasoning Matters!: A Constructive Approach to Critical Thinking. Oxford University Press.score: 18.0
    Offering an innovative approach to critical thinking, Good Reasoning Matters! identifies the essential structure of good arguments in a variety of contexts and also provides guidelines to help students construct their own effective arguments. In addition to examining the most common features of faulty reasoning--slanting, bias, propaganda, vagueness, ambiguity, and a common failure to consider opposing points of view--the book introduces a variety of argument schemes and rhetorical techniques. This edition adds material on visual arguments and more exercises.
     
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  91. Hugo Mercier (2012). Some Clarifications About the Argumentative Theory of Reasoning. A Reply to Santibáñez Yañez (2012). Informal Logic 32 (2):259-268.score: 18.0
    In “Mercier and Sperber’s Argumentative Theory of Reasoning: From Psychology of Reasoning to Argumentation Studies” (2012) Santibáñez Yañez offers constructive comments and criticisms of the argumentative theory of reasoning. The purpose of this reply is twofold. First, it seeks to clarify two points broached by Yanez: (1) the relation between reasoning (in this specific theory) and dual process accounts in general and (2) the benefits that can be derived from reasoning and argumentation (again, in this (...)
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  92. J. B. Cederblom (2012). Critical Reasoning: Understanding and Criticizing Arguments and Theories. Cengage.score: 18.0
    In this era of increased polarization of opinion and contentious disagreement, CRITICAL REASONING presents a cooperative approach to critical thinking and formation of beliefs. CRITICAL REASONING emphasizes the importance of developing and applying analytical skills in real life contexts. This book is unique in providing multiple, diverse examples of everyday arguments, both textual and visual, including hard to find long argument passages from real-life sources. The book provides clear, step-by-step procedures to help you decide for yourself what to (...)
     
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  93. Stephen Cohen (2004). The Nature of Moral Reasoning: The Framework and Activities of Ethical Deliberation, Argument, and Decision-Making. Oxford University Press.score: 18.0
    The Nature of Moral Reasoning is a discussion about the landscape, or environment, in which moral reasoning occurs, and the factors which contribute to it.
     
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  94. Lyn D. English (ed.) (1997). Mathematical Reasoning: Analogies, Metaphors, and Images. L. Erlbaum Associates.score: 18.0
    Presents the latest research on how reasoning with analogies, metaphors, metonymies, and images can facilitate mathematical understanding. For math education, educational psychology, and cognitive science scholars.
     
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  95. Joanna Golinska-Pilarek, Angel Mora & Emilio Munoz Velasco (2008). An ATP of a Relational Proof System for Order of Magnitude Reasoning with Negligibility, Non-Closeness and Distance. In Tu-Bao Ho & Zhi-Hua Zhou (eds.), PRICAI 2008: Trends in Artificial Intelligence. Springer.score: 18.0
    We introduce an Automatic Theorem Prover (ATP) of a dual tableau system for a relational logic for order of magnitude qualitative reasoning, which allows us to deal with relations such as negligibility, non-closeness and distance. Dual tableau systems are validity checkers that can serve as a tool for verification of a variety of tasks in order of magnitude reasoning, such as the use of qualitative sum of some classes of numbers. In the design of our ATP, we have (...)
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  96. Joanna Golinska-Pilarek (2012). On Decidability of a Logic for Order of Magnitude Qualitative Reasoning with Bidirectional Negligibility. In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.), Logics in Artificial Intelligence. Springer.score: 18.0
    Qualitative Reasoning (QR) is an area of research within Artificial Intelligence that automates reasoning and problem solving about the physical world. QR research aims to deal with representation and reasoning about continuous aspects of entities without the kind of precise quantitative information needed by conventional numerical analysis techniques. Order-of-magnitude Reasoning (OMR) is an approach in QR concerned with the analysis of physical systems in terms of relative magnitudes. In this paper we consider the logic OMR_N for (...)
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  97. Scott G. Schreiber (2003). Aristotle on False Reasoning: Language and the World in the Sophistical Refutations. State University of New York Press.score: 18.0
    Presenting the first book-length study in English of Aristotle's Sophistical Refutations, this work takes a fresh look at this seminal text on false reasoning.
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  98. Michael J. Shaffer (2012). Not-Exact-Truths, Pragmatic Encroachment and the Epistemic Norm of Practical Reasoning. Logos and Episteme 3:239-259.score: 18.0
    Recently a number of variously motivated epistemologists have argued that knowledge is closely tied to practical matters. On the one hand, radical pragmatic encroachment is the view that facts about whether an agent has knowledge depend on practical factors and this is coupled to the view that there is an important connection between knowledge and action. On the other hand, one can argue for the less radical thesis only that there is an important connection between knowledge and practical reasoning. (...)
     
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  99. Atsushi Shimojima & Yasuhiro Katagiri (2013). An Eye-Tracking Study of Exploitations of Spatial Constraints in Diagrammatic Reasoning. Cognitive Science 37 (2):211-254.score: 18.0
    Semantic studies on diagrammatic notations (Barwise & Etchemendy, ; Shimojima, ; Stenning & Lemon, ) have revealed that the “non-deductive,” “emergent,” or “perceptual” effects of diagrams (Chandrasekaran, Kurup, Banerjee, Josephson, & Winkler, ; Kulpa, ; Larkin & Simon, ; Lindsay, ) are all rooted in the exploitation of spatial constraints on graphical structures. Thus, theoretically, this process is a key factor in inference with diagrams, explaining the frequently observed reduction of inferential load. The purpose of this study was to examine (...)
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  100. Cristián Santibáñez Yáñez (2012). Mercier and Sperber's Argumentative Theory of Reasoning: From Psychology of Reasoning to Argumentation Studies. Informal Logic 32 (1):132-159.score: 18.0
    Mercier and Sperber (2011a, 2011b; Mercier, 2011a, 2011b, 2011c, and 2011d) have presented a stimulating and provocative new theory of reasoning: the argumentative theory of reasoning. They maintain that argumentation is a meta-representational module. In their evolutionary view of argumentation, the function of this module would be to regulate the flow of information between interlocutors through persuasiveness on the side of the communicator and epistemic vigilance on the side of the audience. The aim of this paper is to (...)
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