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  1. A theory of diagnosis from first principles.Raymond Reiter - 1987 - Artificial Intelligence 32 (1):57-95.
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  • A logical framework for default reasoning.David Poole - 1988 - Artificial Intelligence 36 (1):27-47.
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  • Generic Generalizations.Sarah-Jane Leslie & Adam Lerner - 2016 - Stanford Encyclopedia of Philosophy.
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  • Logical Disagreement.Frederik J. Andersen - 2024 - Dissertation, University of St. Andrews
    While the epistemic significance of disagreement has been a popular topic in epistemology for at least a decade, little attention has been paid to logical disagreement. This monograph is meant as a remedy. The text starts with an extensive literature review of the epistemology of (peer) disagreement and sets the stage for an epistemological study of logical disagreement. The guiding thread for the rest of the work is then three distinct readings of the ambiguous term ‘logical disagreement’. Chapters 1 and (...)
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  • (1 other version)Ceteris Paribus Laws.Alexander Reutlinger, Gerhard Schurz, Andreas Hüttemann & Siegfried Jaag - 2011 - Stanford Encyclopedia of Philosophy.
    Laws of nature take center stage in philosophy of science. Laws are usually believed to stand in a tight conceptual relation to many important key concepts such as causation, explanation, confirmation, determinism, counterfactuals etc. Traditionally, philosophers of science have focused on physical laws, which were taken to be at least true, universal statements that support counterfactual claims. But, although this claim about laws might be true with respect to physics, laws in the special sciences (such as biology, psychology, economics etc.) (...)
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  • Modeling Deep Disagreement in Default Logic.Frederik J. Andersen - 2024 - Australasian Journal of Logic 21 (2):47-63.
    Default logic has been a very active research topic in artificial intelligence since the early 1980s, but has not received as much attention in the philosophical literature thus far. This paper shows one way in which the technical tools of artificial intelligence can be applied in contemporary epistemology by modeling a paradigmatic case of deep disagreement using default logic. In §1 model-building viewed as a kind of philosophical progress is briefly motivated, while §2 introduces the case of deep disagreement we (...)
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  • What is 'normal'? An evolution-theoretic foundation for normic laws and their relation to statistical normality.Gerhard Schurz - 2001 - Philosophy of Science 68 (4):476-497.
    Normic laws have the form "if A, then normally B." They are omnipresent in everyday life and non-physical 'life' sciences such as biology, psychology, social sciences, and humanities. They differ significantly from ceteris-paribus laws in physics. While several authors have doubted that normic laws are genuine laws at all, others have argued that normic laws express a certain kind of prototypical normality which is independent of statistical majority. This paper presents a foundation for normic laws which is based on generalized (...)
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  • Hard problems for simple default logics.Henry A. Kautz & Bart Selman - 1991 - Artificial Intelligence 49 (1-3):243-279.
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  • Qualitative probabilities for default reasoning, belief revision, and causal modeling.Moisés Goldszmidt & Judea Pearl - 1996 - Artificial Intelligence 84 (1-2):57-112.
    This paper presents a formalism that combines useful properties of both logic and probabilities. Like logic, the formalism admits qualitative sentences and provides symbolic machinery for deriving deductively closed beliefs and, like probability, it permits us to express if-then rules with different levels of firmness and to retract beliefs in response to changing observations. Rules are interpreted as order-of-magnitude approximations of conditional probabilities which impose constraints over the rankings of worlds. Inferences are supported by a unique priority ordering on rules (...)
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  • A semantic approach to nonmonotonic reasoning: Inference operations and choice.Sten Lindström - 2022 - Theoria 88 (3):494-528.
    Theoria, Volume 88, Issue 3, Page 494-528, June 2022.
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  • Ceteris Paribus Conditionals and Comparative Normalcy.Martin Smith - 2006 - Journal of Philosophical Logic 36 (1):97-121.
    Our understanding of subjunctive conditionals has been greatly enhanced through the use of possible world semantics and, more precisely, by the idea that they involve variably strict quantification over possible worlds. I propose to extend this treatment to ceteris paribus conditionals – that is, conditionals that incorporate a ceteris paribus or ‘other things being equal’ clause. Although such conditionals are commonly invoked in scientific theorising, they traditionally arouse suspicion and apprehensiveness amongst philosophers. By treating ceteris paribus conditionals as a species (...)
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  • Generics and typicality: a bounded rationality approach.Robert van Rooij & Katrin Schulz - 2020 - Linguistics and Philosophy 43 (1):83-117.
    Cimpian et al. observed that we accept generic statements of the form ‘Gs are f’ on relatively weak evidence, but that if we are unfamiliar with group G and we learn a generic statement about it, we still treat it inferentially in a much stronger way: all Gs are f. This paper makes use of notions like ‘representativeness’, ‘contingency’ and ‘relative difference’ from psychology to provide a uniform semantics of generics that explains why people accept generics based on weak evidence. (...)
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  • Pragmatic Meaning and Non-Monotonic Reasoning: The Case of Exhaustive Interpretation.Katrin Schulz & Robert van Rooij - 2006 - Linguistics and Philosophy 29 (2):205 - 250.
    In this paper an approach to the exhaustive interpretation of answers is developed. It builds on a proposal brought forward by Groenendijk and Stokhof (1984). We will use the close connection between their approach and McCarthy's (1980, 1986) predicate circumscription and describe exhaustive interpretation as an instance of interpretation in minimal models, well-known from work on counterfactuals (see for instance Lewis (1973)). It is shown that by combining this approach with independent developments in semantics/pragmatics one can overcome certain limitations of (...)
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  • Diagnosing multiple faults.Johan de Kleer & Brian C. Williams - 1987 - Artificial Intelligence 32 (1):97-130.
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  • Counterfactuals.Matthew L. Ginsberg - 1986 - Artificial Intelligence 30 (1):35-79.
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  • All I know: A study in autoepistemic logic.Hector J. Levesque - 1990 - Artificial Intelligence 42 (2-3):263-309.
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  • Justification and defeat.John L. Pollock - 1994 - Artificial Intelligence 67 (2):377-407.
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  • Conditional entailment: Bridging two approaches to default reasoning.Hector Geffner & Judea Pearl - 1992 - Artificial Intelligence 53 (2-3):209-244.
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  • Unifying default reasoning and belief revision in a modal framework.Craig Boutilier - 1994 - Artificial Intelligence 68 (1):33-85.
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  • Defeasible reasoning.Robert C. Koons - 2008 - Stanford Encyclopedia of Philosophy.
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  • The frame problem.Murray Shanahan - 2008 - Stanford Encyclopedia of Philosophy.
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  • ``Defeasible Reasoning with Variable Degrees of Justification".John L. Pollock - 2001 - Artificial Intelligence 133 (1-2):233-282.
    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 all (...)
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  • Nonmonotonic causal theories.Joohyung Lee, Vladimir Lifschitz & Hudson Turner - 2004 - Artificial Intelligence 153 (1-2):49-104.
    cuted actions. It has been applied to several challenge problems in the theory of commonsense knowledge. We study the relationship between this formalism and other work on nonmonotonic reasoning and knowl-.
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  • A non-monotonic Description Logic for reasoning about typicality.L. Giordano, V. Gliozzi, N. Olivetti & G. L. Pozzato - 2013 - Artificial Intelligence 195 (C):165-202.
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  • Extending and implementing the stable model semantics.Patrik Simons, Ilkka Niemelä & Timo Soininen - 2002 - Artificial Intelligence 138 (1-2):181-234.
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  • From statistical knowledge bases to degrees of belief.Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern & Daphne Koller - 1996 - Artificial Intelligence 87 (1-2):75-143.
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  • On the complexity of propositional knowledge base revision, updates, and counterfactuals.Thomas Eiter & Georg Gottlob - 1992 - Artificial Intelligence 57 (2-3):227-270.
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  • Exceptions to generics: Where vagueness, context dependence and modality interact.Yael Greenberg - 2007 - Journal of Semantics 24 (2):131-167.
    This paper deals with the exceptions-tolerance property of generic sentences with indefinite singular and bare plural subjects (IS and BP generics, respectively) and with the way this property is connected to some well-known observations about felicity differences between the two types of generics (e.g. Lawler's 1973, Madrigals are popular vs. #A madrigal is popular). I show that whereas both IS and BP generics tolerate exceptional and contextually irrelevant individuals and situations in a strikingly similar way, which indicates the existence of (...)
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  • Characterizing generics are material inference tickets: a proof-theoretic analysis.Preston Stovall - 2019 - Inquiry: An Interdisciplinary Journal of Philosophy (5):668-704.
    An adequate semantics for generic sentences must stake out positions across a range of contested territory in philosophy and linguistics. For this reason the study of generic sentences is a venue for investigating different frameworks for understanding human rationality as manifested in linguistic phenomena such as quantification, classification of individuals under kinds, defeasible reasoning, and intensionality. Despite the wide variety of semantic theories developed for generic sentences, to date these theories have been almost universally model-theoretic and representational. This essay outlines (...)
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  • Semantics and complexity of recursive aggregates in answer set programming.Wolfgang Faber, Gerald Pfeifer & Nicola Leone - 2011 - Artificial Intelligence 175 (1):278-298.
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  • Non-Monotonic Reasoning from an Evolution-Theoretic Perspective: Ontic, Logical and Cognitive Foundations.Gerhard Schurz - 2005 - Synthese 146 (1-2):37-51.
    In the first part I argue that normic laws are the phenomenological laws of evolutionary systems. If this is true, then intuitive human reasoning should be fit in reasoning from normic laws. In the second part I show that system P is a tool for reasoning with normic laws which satisfies two important evolutionary standards: it is probabilistically reliable, and it has rules of low complexity. In the third part I finally report results of an experimental study which demonstrate that (...)
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  • Reasoning about action I.Matthew L. Ginsberg & David E. Smith - 1988 - Artificial Intelligence 35 (2):165-195.
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  • From here to human-level AI.John McCarthy - 2007 - Artificial Intelligence 171 (18):1174-1182.
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  • A new semantics for overriding in description logics.P. A. Bonatti, M. Faella, I. M. Petrova & L. Sauro - 2015 - Artificial Intelligence 222 (C):1-48.
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  • (1 other version)Vision, knowledge, and the mystery link.John L. Pollock & Iris Oved - 2005 - Noûs 39 (1):309-351.
    Imagine yourself sitting on your front porch, sipping your morning coffee and admiring the scene before you. You see trees, houses, people, automobiles; you see a cat running across the road, and a bee buzzing among the flowers. You see that the flowers are yellow, and blowing in the wind. You see that the people are moving about, many of them on bicycles. You see that the houses are painted different colors, mostly earth tones, and most are one-story but a (...)
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  • On the satisfiability of circumscription.Vladimir Lifschitz - 1986 - Artificial Intelligence 28 (1):17-27.
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  • Formalizing sensing actions— A transition function based approach.Tran Cao Son & Chitta Baral - 2001 - Artificial Intelligence 125 (1-2):19-91.
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  • Generically free choice.Bernhard Nickel - 2010 - Linguistics and Philosophy 33 (6):479-512.
    This paper discusses free-choice like effects in generics. Just as Jane may drink coffee or tea can be used to convey Jane may drink coffee and Jane may drink tea (she is free to choose ), some generics with disjunctive predicates can be used to convey conjunctions of simpler generics: elephants live in Africa or Asia can be used to convey elephants live in Africa and elephants live in Asia. Investigating these logically slightly more complex generics and especially the free-choice (...)
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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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  • Probabilistic single function dual process theory and logic programming as approaches to non-monotonicity in human vs. artificial reasoning.Mike Oaksford & Nick Chater - 2014 - Thinking and Reasoning 20 (2):269-295.
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  • Defeasible reasoning and informal fallacies.Douglas Walton - 2011 - Synthese 179 (3):377 - 407.
    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 whether a given defeasible (...)
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  • Representing action: indeterminacy and ramifications.Enrico Giunchiglia, G. Neelakantan Kartha & Vladimir Lifschitz - 1997 - Artificial Intelligence 95 (2):409-438.
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  • Frames in the space of situations.Vladimir Lifschitz - 1990 - Artificial Intelligence 46 (3):365-376.
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  • Stable models and circumscription.Paolo Ferraris, Joohyung Lee & Vladimir Lifschitz - 2011 - Artificial Intelligence 175 (1):236-263.
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  • The effect of knowledge on belief.David Poole - 1991 - Artificial Intelligence 49 (1-3):281-307.
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  • The independent choice logic for modelling multiple agents under uncertainty.David Poole - 1997 - Artificial Intelligence 94 (1-2):7-56.
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  • Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities.Kristijonas Čyras, Quentin Heinrich & Francesca Toni - 2021 - Artificial Intelligence 293 (C):103449.
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  • Nonmonotonic reasoning in the framework of situation calculus.Andrew B. Baker - 1991 - Artificial Intelligence 49 (1-3):5-23.
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  • On the relationship between circumscription and negation as failure.Michael Gelfond, Halina Przymusinska & Teodor Przymusinski - 1989 - Artificial Intelligence 38 (1):75-94.
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  • Logic and artificial intelligence.Nils J. Nilsson - 1991 - Artificial Intelligence 47 (1-3):31-56.
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