Switch to: References

Citations of:

Counterfactuals

Artificial Intelligence 30 (1):35-79 (1986)

Add citations

You must login to add citations.
  1. Non-Measurability, Imprecise Credences, and Imprecise Chances.Yoaav Isaacs, Alan Hájek & John Hawthorne - 2021 - Mind 131 (523):892-916.
    – We offer a new motivation for imprecise probabilities. We argue that there are propositions to which precise probability cannot be assigned, but to which imprecise probability can be assigned. In such cases the alternative to imprecise probability is not precise probability, but no probability at all. And an imprecise probability is substantially better than no probability at all. Our argument is based on the mathematical phenomenon of non-measurable sets. Non-measurable propositions cannot receive precise probabilities, but there is a natural (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • DA2 merging operators.S. Konieczny, J. Lang & P. Marquis - 2004 - Artificial Intelligence 157 (1-2):49-79.
    Download  
     
    Export citation  
     
    Bookmark   26 citations  
  • Diagnosing multiple faults.Johan de Kleer & Brian C. Williams - 1987 - Artificial Intelligence 32 (1):97-130.
    Download  
     
    Export citation  
     
    Bookmark   59 citations  
  • Nonmonotonic reasoning, preferential models and cumulative logics.Sarit Kraus, Daniel Lehmann & Menachem Magidor - 1990 - Artificial Intelligence 44 (1-2):167-207.
    Download  
     
    Export citation  
     
    Bookmark   375 citations  
  • (1 other version)What does a conditional knowledge base entail?Daniel Lehmann & Menachem Magidor - 1992 - Artificial Intelligence 55 (1):1-60.
    Download  
     
    Export citation  
     
    Bookmark   161 citations  
  • Unifying default reasoning and belief revision in a modal framework.Craig Boutilier - 1994 - Artificial Intelligence 68 (1):33-85.
    Download  
     
    Export citation  
     
    Bookmark   46 citations  
  • Four Approaches to Supposition.Benjamin Eva, Ted Shear & Branden Fitelson - 2022 - Ergo: An Open Access Journal of Philosophy 8 (26):58-98.
    Suppositions can be introduced in either the indicative or subjunctive mood. The introduction of either type of supposition initiates judgments that may be either qualitative, binary judgments about whether a given proposition is acceptable or quantitative, numerical ones about how acceptable it is. As such, accounts of qualitative/quantitative judgment under indicative/subjunctive supposition have been developed in the literature. We explore these four different types of theories by systematically explicating the relationships canonical representatives of each. Our representative qualitative accounts of indicative (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  • Descriptor Revision: Belief Change Through Direct Choice.Sven Ove Hansson - 2017 - Cham, Switzerland: Springer Verlag.
    This book provides a critical examination of how the choice of what to believe is represented in the standard model of belief change. In particular the use of possible worlds and infinite remainders as objects of choice is critically examined. Descriptors are introduced as a versatile tool for expressing the success conditions of belief change, addressing both local and global descriptor revision. The book presents dynamic descriptors such as Ramsey descriptors that convey how an agent’s beliefs tend to be changed (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  • Conditionals, Counterfactuals, and Rational Reasoning: An Experimental Study on Basic Principles.Leena Tulkki & Niki Pfeifer - 2017 - Minds and Machines 27 (1):119-165.
    We present a unified approach for investigating rational reasoning about basic argument forms involving indicative conditionals, counterfactuals, and basic quantified statements within coherence-based probability logic. After introducing the rationality framework, we present an interactive view on the relation between normative and empirical work. Then, we report a new experiment which shows that people interpret indicative conditionals and counterfactuals by coherent conditional probability assertions and negate conditionals by negating their consequents. The data support the conditional probability interpretation of conditionals and the (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  • Modality and Explanatory Reasoning.Boris Christian Kment - 2014 - New York: Oxford University Press.
    Boris Kment takes a new approach to the study of modality that emphasises the origin of modal notions in everyday thought. He argues that the concepts of necessity and possibility originate in counterfactual reasoning, which allows us to investigate explanatory connections. Contrary to accepted views, explanation is more fundamental than modality.
    Download  
     
    Export citation  
     
    Bookmark   137 citations  
  • Precis of the rational imagination: How people create alternatives to reality.Ruth Mj Byrne - 2007 - Behavioral and Brain Sciences 30 (5):439-452.
    The human imagination remains one of the last uncharted terrains of the mind. People often imagine how events might have turned out something had been different. The of reality, those aspects more readily changed, indicate that counterfactual thoughts are guided by the same principles as rational thoughts. In the past, rationality and imagination have been viewed as opposites. But research has shown that rational thought is more imaginative than cognitive scientists had supposed. In The Rational Imagination, I argue that imaginative (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  • A Lewisian Logic of Causal Counterfactuals.Jiji Zhang - 2013 - Minds and Machines 23 (1):77-93.
    In the artificial intelligence literature a promising approach to counterfactual reasoning is to interpret counterfactual conditionals based on causal models. Different logics of such causal counterfactuals have been developed with respect to different classes of causal models. In this paper I characterize the class of causal models that are Lewisian in the sense that they validate the principles in Lewis’s well-known logic of counterfactuals. I then develop a system sound and complete with respect to this class. The resulting logic is (...)
    Download  
     
    Export citation  
     
    Bookmark   10 citations  
  • Situated conditional reasoning.Giovanni Casini, Thomas Meyer & Ivan Varzinczak - 2023 - Artificial Intelligence 319 (C):103917.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Reasoning under inconsistency: A forgetting-based approach.Jérôme Lang & Pierre Marquis - 2010 - Artificial Intelligence 174 (12-13):799-823.
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • A theory of diagnosis from first principles.Raymond Reiter - 1987 - Artificial Intelligence 32 (1):57-95.
    Download  
     
    Export citation  
     
    Bookmark   135 citations  
  • Reasoning about action I.Matthew L. Ginsberg & David E. Smith - 1988 - Artificial Intelligence 35 (2):165-195.
    Download  
     
    Export citation  
     
    Bookmark   23 citations  
  • A theory of measurement in diagnosis from first principles.Aimin Hou - 1994 - Artificial Intelligence 65 (2):281-328.
    Download  
     
    Export citation  
     
    Bookmark  
  • Explanations, belief revision and defeasible reasoning.Marcelo A. Falappa, Gabriele Kern-Isberner & Guillermo R. Simari - 2002 - Artificial Intelligence 141 (1-2):1-28.
    We present different constructions for nonprioritized belief revision, that is, belief changes in which the input sentences are not always accepted. First, we present the concept of explanation in a deductive way. Second, we define multiple revision operators with respect to sets of sentences (representing explanations), giving representation theorems. Finally, we relate the formulated operators with argumentative systems and default reasoning frameworks.
    Download  
     
    Export citation  
     
    Bookmark   16 citations  
  • Reaching agreements through argumentation: a logical model and implementation.Sarit Kraus, Katia Sycara & Amir Evenchik - 1998 - Artificial Intelligence 104 (1-2):1-69.
    Download  
     
    Export citation  
     
    Bookmark   18 citations  
  • Reducing belief revision to circumscription.Paolo Liberatore & Marco Schaerf - 1997 - Artificial Intelligence 93 (1-2):261-296.
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  • A Computational Learning Semantics for Inductive Empirical Knowledge.Kevin T. Kelly - 2014 - In Alexandru Baltag & Sonja Smets (eds.), Johan van Benthem on Logic and Information Dynamics. Cham, Switzerland: Springer International Publishing. pp. 289-337.
    This chapter presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a learner who processes new inputs through time and who forms new beliefs from those inputs by means of a concrete, computable learning program. The agent’s belief state is represented hyper-intensionally as a set of time-indexed sentences. Knowledge is interpreted as avoidance of error in the limit and as having converged to true belief from the present time onward. Familiar topics are re-examined within (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Iterated Belief Revision.Robert Stalnaker - 2009 - Erkenntnis 70 (2):189-209.
    This is a discussion of the problem of extending the basic AGM belief revision theory to iterated belief revision: the problem of formulating rules, not only for revising a basic belief state in response to potential new information, but also for revising one’s revision rules in response to potential new information. The emphasis in the paper is on foundational questions about the nature of and motivation for various constraints, and about the methodology of the evaluation of putative counterexamples to proposed (...)
    Download  
     
    Export citation  
     
    Bookmark   30 citations  
  • Expressible semantics for expressible counterfactuals.Emmanuel Chemla - 2011 - Review of Symbolic Logic 4 (1):63-80.
    Lewis (1981) showed the equivalence between two dominant semantic frameworks for counterfactuals: ordering semantics, which relies on orders between possible worlds, and premise semantics, which relies on sets of propositions (so-called ordering sources). I define a natural, restricted version of premise semantics, expressible premise semantics, which is based on ordering sources containing only expressible propositions. First, I extend Lewis’ (1981) equivalence result to expressible premise semantics and some corresponding expressible version of ordering semantics. Second, I show that expressible semantics are (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Nonmonotonic Reasoning and Causation.Yoav Shoham - 1990 - Cognitive Science 14 (2):213-252.
    It is suggested that taking into account considerations that traditionally fall within the scope of computer science in general, and artificial intelligence in particular, sheds new light on the subject of causation. It is argued that adopting causal notions con be viewed as filling a computational need: They allow reasoning with incomplete information, facilitate economical representations, and afford relatively efficient methods for reasoning about those representations. Specifically, it is proposed that causal reasoning is intimately bound to nonmonotonic reasoning. An account (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  • The size of a revised knowledge base.Marco Cadoli, Francesco M. Donini, Paolo Liberatore & Marco Schaerf - 1999 - Artificial Intelligence 115 (1):25-64.
    Download  
     
    Export citation  
     
    Bookmark   11 citations  
  • Abduction as belief revision.Craig Boutilier & Veronica Beche - 1995 - Artificial Intelligence 77 (1):43-94.
    Download  
     
    Export citation  
     
    Bookmark   38 citations  
  • Modeling belief in dynamic systems, part I: Foundations.Nir Friedman & Joseph Y. Halpern - 1997 - Artificial Intelligence 95 (2):257-316.
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  • Johan van Benthem on Logic and Information Dynamics.Alexandru Baltag & Sonja Smets (eds.) - 2014 - Cham, Switzerland: Springer International Publishing.
    This book illustrates the program of Logical-Informational Dynamics. Rational agents exploit the information available in the world in delicate ways, adopt a wide range of epistemic attitudes, and in that process, constantly change the world itself. Logical-Informational Dynamics is about logical systems putting such activities at center stage, focusing on the events by which we acquire information and change attitudes. Its contributions show many current logics of information and change at work, often in multi-agent settings where social behavior is essential, (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • The Logic of Expert Judging Systems and the Rights of the Accused.Joseph S. Fulda - 1988 - AI and Society 2 (3):266-269.
    Deals with the problem of enthymemes in expert systems designed to model legal reasoning; suggests that interactivity is crucial.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • (1 other version)Conditional Probability and Defeasible Inference.Rohit Parikh - 2005 - Journal of Philosophical Logic 34 (1):97 - 119.
    We offer a probabilistic model of rational consequence relations (Lehmann and Magidor, 1990) by appealing to the extension of the classical Ramsey-Adams test proposed by Vann McGee in (McGee, 1994). Previous and influential models of nonmonotonic consequence relations have been produced in terms of the dynamics of expectations (Gärdenfors and Makinson, 1994; Gärdenfors, 1993).'Expectation' is a term of art in these models, which should not be confused with the notion of expected utility. The expectations of an agent are some form (...)
    Download  
     
    Export citation  
     
    Bookmark   24 citations  
  • Reasoning about action II.Matthew L. Ginsberg & David E. Smith - 1988 - Artificial Intelligence 35 (3):311-342.
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  • Time and modality in a natural language interface to a planning system.R. S. Crouch & S. G. Pulman - 1993 - Artificial Intelligence 63 (1-2):265-304.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Thinking About the Opposite of What Is Said: Counterfactual Conditionals and Symbolic or Alternate Simulations of Negation.Orlando Espino & Ruth M. J. Byrne - 2018 - Cognitive Science 42 (8):2459-2501.
    When people understand a counterfactual such as “if the flowers had been roses, the trees would have been orange trees,” they think about the conjecture, “there were roses and orange trees,” and they also think about its opposite, the presupposed facts. We test whether people think about the opposite by representing alternates, for example, “poppies and apple trees,” or whether models can contain symbols, for example, “no roses and no orange trees.” We report the discovery of an inference‐to‐alternates effect—a tendency (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Causal Explanation and Fact Mutability in Counterfactual Reasoning.Morteza Dehghani, Rumen Iliev & Stefan Kaufmann - 2012 - Mind and Language 27 (1):55-85.
    Recent work on the interpretation of counterfactual conditionals has paid much attention to the role of causal independencies. One influential idea from the theory of Causal Bayesian Networks is that counterfactual assumptions are made by intervention on variables, leaving all of their causal non-descendants unaffected. But intervention is not applicable across the board. For instance, backtracking counterfactuals, which involve reasoning from effects to causes, cannot proceed by intervention in the strict sense, for otherwise they would be equivalent to their consequents. (...)
    Download  
     
    Export citation  
     
    Bookmark   10 citations  
  • Revision algebra semantics for conditional logic.John Pais - 1992 - Studia Logica 51 (2):279 - 316.
    The properties of belief revision operators are known to have an informal semantics which relates them to the axioms of conditional logic. The purpose of this paper is to make this connection precise via the model theory of conditional logic. A semantics for conditional logic is presented, which is expressed in terms of algebraic models constructed ultimately out of revision operators. In addition, it is shown that each algebraic model determines both a revision operator and a logic, that are related (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Systematic withdrawal.Thomas Meyer, Johannes Heidema, Willem Labuschagne & Louise Leenen - 2002 - Journal of Philosophical Logic 31 (5):415-443.
    Although AGM theory contraction (Alchourrón et al., 1985; Alchourrón and Makinson, 1985) occupies a central position in the literature on belief change, there is one aspect about it that has created a fair amount of controversy. It involves the inclusion of the postulate known as Recovery. As a result, a number of alternatives to AGM theory contraction have been proposed that do not always satisfy the Recovery postulate (Levi, 1991, 1998; Hansson and Olsson, 1995; Fermé, 1998; Fermé and Rodriguez, 1998; (...)
    Download  
     
    Export citation  
     
    Bookmark   10 citations  
  • On the complexity of propositional knowledge base revision, updates, and counterfactuals.Thomas Eiter & Georg Gottlob - 1992 - Artificial Intelligence 57 (2-3):227-270.
    Download  
     
    Export citation  
     
    Bookmark   31 citations  
  • ALX, an action logic for agents with bounded rationality.Zhisheng Huang, Michael Masuch & László Pólos - 1996 - Artificial Intelligence 82 (1-2):75-127.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • (1 other version)Non monotonic reasoning and belief revision: syntactic, semantic, foundational and coherence approaches.Alvaro del Val - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):213-240.
    ABSTRACT The major approaches to belief revision and non monotonic reasoning proposed in the literature differ along a number of dimensions, including whether they are ?syntax- based? or ?semantic-based?, ?foundational? or ?coherentist?, ?consistence-restoring? or ?inconsistency-tolerant?. Our contribution towards clarifying the connections between these various approaches is threefold: ?We show that the two main approaches to belief revision, the foundations and coherence theories, are mathematically equivalent, thus answering a question left open in [Gar90, Doy92], The distinction between syntax-based approaches to revision (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • (1 other version)Non monotonic reasoning and belief revision: syntactic, semantic, foundational and coherence approaches.Alvaro del Val - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):213-240.
    ABSTRACT The major approaches to belief revision and non monotonic reasoning proposed in the literature differ along a number of dimensions, including whether they are “syntax- based” or “semantic-based”, “foundational” or “coherentist”, “consistence-restoring” or “inconsistency-tolerant”. Our contribution towards clarifying the connections between these various approaches is threefold: •We show that the two main approaches to belief revision, the foundations and coherence theories, are mathematically equivalent, thus answering a question left open in [Gar90, Doy92], The distinction between syntax-based approaches to revision (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Nonmonotonic reasoning: From finitary relations to infinitary inference operations.Michael Freund & Daniel Lehmann - 1994 - Studia Logica 53 (2):161 - 201.
    A. Tarski [22] proposed the study of infinitary consequence operations as the central topic of mathematical logic. He considered monotonicity to be a property of all such operations. In this paper, we weaken the monotonicity requirement and consider more general operations, inference operations. These operations describe the nonmonotonic logics both humans and machines seem to be using when infering defeasible information from incomplete knowledge. We single out a number of interesting families of inference operations. This study of infinitary inference operations (...)
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • In All But Finitely Many Possible Worlds: Model-Theoretic Investigations on ‘ Overwhelming Majority ’ Default Conditionals.Costas D. Koutras & Christos Rantsoudis - 2017 - Journal of Logic, Language and Information 26 (2):109-141.
    Defeasible conditionals are statements of the form ‘if A then normally B’. One plausible interpretation introduced in nonmonotonic reasoning dictates that ) is true iff B is true in ‘most’ A-worlds. In this paper, we investigate defeasible conditionals constructed upon a notion of ‘overwhelming majority’, defined as ‘truth in a cofinite subset of \’, the first infinite ordinal. One approach employs the modal logic of the frame \\), used in the temporal logic of discrete linear time. We introduce and investigate (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Preferential belief change using generalized epistemic entrenchment.Hans Rott - 1992 - Journal of Logic, Language and Information 1 (1):45-78.
    A sentence A is epistemically less entrenched in a belief state K than a sentence B if and only if a person in belief state K who is forced to give up either A or B will give up A and hold on to B. This is the fundamental idea of epistemic entrenchment as introduced by Gärdenfors (1988) and elaborated by Gärdenfors and Makinson (1988). Another distinguishing feature of relations of epistemic entrenchment is that they permit particularly simple and elegant (...)
    Download  
     
    Export citation  
     
    Bookmark   55 citations  
  • Refined epistemic entrenchment.Thomas Andreas Meyer, Willem Adrian Labuschagne & Johannes Heidema - 2000 - Journal of Logic, Language and Information 9 (2):237-259.
    Epistemic entrenchment, as presented by Gärdenfors and Makinson (1988) and Gärdenfors (1988), is a formalisation of the intuition that, when forced to choose between two beliefs, an agent will giveup the less entrenched one. While their formalisation satisfactorilycaptures the intuitive notion of the entrenchment of beliefs in a number ofaspects, the requirement that all wffs be comparable has drawn criticismfrom various quarters. We define a set of refined versions of theirentrenchment orderings that are not subject to the same criticism, andinvestigate (...)
    Download  
     
    Export citation  
     
    Bookmark   9 citations  
  • Redundancy in logic I: CNF propositional formulae.Paolo Liberatore - 2005 - Artificial Intelligence 163 (2):203-232.
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  • The Dynamics of Thought.Peter Gardenfors - 2005 - Dordrecht, Netherland: Springer.
    This volume is a collection of some of the most important philosophical papers by Peter Gärdenfors. Spanning a period of more than 20 years of his research, they cover a wide ground of topics, from early works on decision theory, belief revision and nonmonotonic logic to more recent work on conceptual spaces, inductive reasoning, semantics and the evolutions of thinking. Many of the papers have only been published in places that are difficult to access. The common theme of all the (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Weak AGM postulates and strong Ramsey Test: A logical formalization.Laura Giordano, Valentina Gliozzi & Nicola Olivetti - 2005 - Artificial Intelligence 168 (1-2):1-37.
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Problem solving with the ATMS.Johan de Kleer - 1986 - Artificial Intelligence 28 (2):197-224.
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  • Reasoning agents in a dynamic world: The frame problem.Jozsef A. Toth - 1995 - Artificial Intelligence 73 (1-2):323-369.
    Download  
     
    Export citation  
     
    Bookmark  
  • Modeling digital circuits for troubleshooting.Walter C. Hamscher - 1991 - Artificial Intelligence 51 (1-3):223-271.
    Download  
     
    Export citation  
     
    Bookmark   12 citations