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  1. Negotiating with bounded rational agents in environments with incomplete information using an automated agent.Raz Lin, Sarit Kraus, Jonathan Wilkenfeld & James Barry - 2008 - Artificial Intelligence 172 (6-7):823-851.
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  • On the evaluation of argumentation formalisms.Martin Caminada & Leila Amgoud - 2007 - Artificial Intelligence 171 (5-6):286-310.
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  • Qualitative Heuristics For Balancing the Pros and Cons.Jean-François Bonnefon, Didier Dubois, Hélène Fargier & Sylvie Leblois - 2008 - Theory and Decision 65 (1):71-95.
    Balancing the pros and cons of two options is undoubtedly a very appealing decision procedure, but one that has received scarce scientific attention so far, either formally or empirically. We describe a formal framework for pros and cons decisions, where the arguments under consideration can be of varying importance, but whose importance cannot be precisely quantified. We then define eight heuristics for balancing these pros and cons, and compare the predictions of these to the choices made by 62 human participants (...)
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  • Conditionals: A theory of meaning, pragmatics, and inference.Philip Johnson-Laird & Ruth M. J. Byrne - 2002 - Psychological Review 109 (4):646-678.
    The authors outline a theory of conditionals of the form If A then C and If A then possibly C. The 2 sorts of conditional have separate core meanings that refer to sets of possibilities. Knowledge, pragmatics, and semantics can modulate these meanings. Modulation can add information about temporal and other relations between antecedent and consequent. It can also prevent the construction of possibilities to yield 10 distinct sets of possibilities to which conditionals can refer. The mental representation of a (...)
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  • Logic and reasoning: Do the facts matter?Johan van Benthem - 2008 - Studia Logica 88 (1):67-84.
    Modern logic is undergoing a cognitive turn, side-stepping Frege’s ‘antipsychologism’. Collaborations between logicians and colleagues in more empirical fields are growing, especially in research on reasoning and information update by intelligent agents. We place this border-crossing research in the context of long-standing contacts between logic and empirical facts, since pure normativity has never been a plausible stance. We also discuss what the fall of Frege’s Wall means for a new agenda of logic as a theory of rational agency, and what (...)
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  • On principle-based evaluation of extension-based argumentation semantics.Pietro Baroni & Massimiliano Giacomin - 2007 - Artificial Intelligence 171 (10-15):675-700.
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  • SCC-recursiveness: a general schema for argumentation semantics.Pietro Baroni, Massimiliano Giacomin & Giovanni Guida - 2005 - Artificial Intelligence 168 (1-2):162-210.
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  • If: Supposition, Pragmatics, and Dual Processes.Jonathan Evans & David Over - 2004 - Oxford University Press. Edited by D. E. Over.
    'If' is one of the most important words in the English language, being used to express hypothetical thought. The use of conditional terms such as 'if' distinguishes human intelligence from that of all other animals. In this volume, Jonathan Evans and David Over present a new theoretical approach to understanding conditionals. The book draws on studies from the psychology of judgement and decision making, as well as philosophical logic.
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  • Fundamentals of Argumentation Theory: A Handbook of Historical Backgrounds and Contemporary Developments.Frans H. van Eemeren, Rob Grootendorst, Francisca Snoeck Henkemans, J. Anthony Blair, Ralph H. Johnson & Erik C. W. Krabbe - 1998 - Philosophy and Rhetoric 31 (1):71-74.
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  • Two Varieties of Conditionals and Two Kinds of Defeaters Help Reveal Two Fundamental Types of Reasoning.Guy Politzer & Jean-françois Bonnefon - 2006 - Mind and Language 21 (4):484-503.
    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 as the (...)
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  • The Case for Psychologism in Default and Inheritance Reasoning.Francis Jeffry Pelletier & Renée Elio - 2005 - Synthese 146 (1-2):7-35.
    Default reasoning occurs whenever the truth of the evidence available to the reasoner does not guarantee the truth of the conclusion being drawn. Despite this, one is entitled to draw the conclusion “by default” on the grounds that we have no information which would make us doubt that the inference should be drawn. It is the type of conclusion we draw in the ordinary world and ordinary situations in which we find ourselves. Formally speaking, ‘nonmonotonic reasoning’ refers to argumentation in (...)
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  • Coherence and Nonmonotonicity in Human Reasoning.Niki Pfeifer & Gernot D. Kleiter - 2005 - Synthese 146 (1-2):93-109.
    Nonmonotonic reasoning is often claimed to mimic human common sense reasoning. Only a few studies, though, have investigated this claim empirically. We report four experiments which investigate three rules of SYSTEMP, namely the AND, the LEFT LOGICAL EQUIVALENCE, and the OR rule. The actual inferences of the subjects are compared with the coherent normative upper and lower probability bounds derived from a non-infinitesimal probability semantics of SYSTEM P. We found a relatively good agreement of human reasoning and principles of nonmonotonic (...)
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  • Two varieties of conditionals and two kinds of defeaters help reveal two fundamental types of reasoning.Guy Politzer & J.-F. Bonnefon - 2006 - Mind and Language 21 (4):484-503.
    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 types, 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 as the (...)
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  • Framing human inference by coherence based probability logic.Niki Pfeifer & Gernot D. Kleiter - 2009 - Journal of Applied Logic 7 (2):206--217.
    We take coherence based probability logic as the basic reference theory to model human deductive reasoning. The conditional and probabilistic argument forms are explored. We give a brief overview of recent developments of combining logic and probability in psychology. A study on conditional inferences illustrates our approach. First steps towards a process model of conditional inferences conclude the paper.
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  • Inference in conditional probability logic.Niki Pfeifer & Gernot Kleiter - 2006 - Kybernetika 42 (2):391--404.
    An important field of probability logic is the investigation of inference rules that propagate point probabilities or, more generally, interval probabilities from premises to conclusions. Conditional probability logic (CPL) interprets the common sense expressions of the form “if . . . , then . . . ” by conditional probabilities and not by the probability of the material implication. An inference rule is probabilistically informative if the coherent probability interval of its conclusion is not necessarily equal to the unit interval (...)
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  • Two Varieties of Conditionals and Two Kinds of Defeaters Help Reveal Two Fundamental Types of Reasoning.Politzer Guy & Bonnefon Jean-Francois - 2006 - Mind and Language 21 (4):484-503.
    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 as the (...)
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  • (1 other version)Skepticism and floating conclusions.John Horty - manuscript
    The purpose of this paper is to question some commonly accepted patterns of reasoning involving nonmonotonic logics that generate multiple extensions. In particular, I argue that the phenomenon of floating conclusions indicates a problem with the view that the skeptical consequences of such theories should be identified with the statements that are supported by each of their various extensions.
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  • Audiences in argumentation frameworks.Trevor J. M. Bench-Capon, Sylvie Doutre & Paul E. Dunne - 2007 - Artificial Intelligence 171 (1):42-71.
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  • An Overview of Possibilistic Handling of Default Reasoning, with Experimental Studies.Salem Benferhat, Jean F. Bonnefon & Rui da Silva Neves - 2005 - Synthese 146 (1-2):53-70.
    This paper first provides a brief survey of a possibilistic handling of default rules. A set of default rules of the form, "generally, from α deduce β", is viewed as the family of possibility distributions satisfying constraints expressing that the situation where α and β is true has a greater plausibility than the one where α and ⇁β is true. When considering only the subset of linear possibility distributions, the well-known System P of postulates proposed by Kraus, Lehmann and Magidor, (...)
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  • On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
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  • Reinstatement, floating conclusions, and the credulity of Mental Model reasoning.Jean-Franĉois Bonnefon - 2004 - Cognitive Science 28 (4):621-631.
    Johnson‐Laird and coworkers' Mental Model theory of propositional reasoning is shown to be somewhere in between what logicians have defined as “credulous” and “skeptical” with respect to the conclusions it draws on default reasoning problems. It is then argued that in situations where skeptical reasoning has been shown to lead to problematic conclusions due to not being skeptical enough, the bolder Mental Model theory will likewise make counterintuitive predictions. This claim is supported by the consideration of two of those situations, (...)
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  • What should default reasoning be, by default?Jeff Pelletier - unknown
    This is a position paper concerning the role of empirical studies of human default reasoning in the formalization of AI theories of default reasoning. We note that AI motivates its theoretical enterprise by reference to human skill at default reasoning, but that the actual research does not make any use of this sort of information and instead relies on intuitions of individual investigators. We discuss two reasons theorists might not consider human performance relevant to formalizing default reasoning: (a) that intuitions (...)
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  • A theory of utility conditionals: Paralogical reasoning from decision-theoretic leakage.Jean-François Bonnefon - 2009 - Psychological Review 116 (4):888-907.
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  • (1 other version)Skepticism and floating conclusions.John F. Horty - 2002 - Artificial Intelligence 135 (1-2):55-72.
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  • An overview of possibilistic handling of default reasoning, with experimental studies.Salem Benferhat, Jean F. Bonnefon & Rui Silva Nevedas - 2005 - Synthese 146 (1-2):53 - 70.
    . This paper first provides a brief survey of a possibilistic handling of default rules. A set of default rules of the form, “generally, from α deduce β”, is viewed as the family of possibility distributions satisfying constraints expressing that the situation where α and β is true has a greater plausibility than the one where a and - β is true. When considering only the subset of linear possibility distributions, the well-known System P of postulates proposed by Kraus, Lehmann (...)
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  • Elements of Argumentation.Philippe Besnard & Anthony Hunter - 2009 - Studia Logica 93 (1):97-103.
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