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  1. Mark Alicke, David Rose & Dori Bloom (2011). Causation, Norm Violation, and Culpable Control. Journal of Philosophy 108 (12):670-696.
    Causation is one of philosophy's most venerable and thoroughly-analyzed concepts. However, the study of how ordinary people make causal judgments is a much more recent addition to the philosophical arsenal. One of the most prominent views of causal explanation, especially in the realm of harmful or potentially harmful behavior, is that unusual or counternormative events are accorded privileged status in ordinary causal explanations. This is a fundamental assumption in psychological theories of counterfactual reasoning, and has been transported to philosophy by (...)
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  2. Michael Baumgartner (forthcoming). Detecting Causal Chains in Small-N Data. Field Methods.
    The first part of this paper shows that Qualitative Comparative Analysis (QCA)--also in its most recent forms as presented in Ragin (2000, 2008)--, does not correctly analyze data generated by causal chains, which, after all, are very common among causal processes in the social sciences. The incorrect modeling of data originating from chains essentially stems from QCA’s reliance on Quine-McCluskey optimization to eliminate redundancies from sufficient and necessary conditions. Baumgartner (2009a,b) has introduced a Boolean methodology, termed Coincidence Analysis (CNA), that (...)
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  3. Michael Baumgartner (2008). The Causal Chain Problem. Erkenntnis 69 (2):201 - 226.
    This paper addresses a problem that arises when it comes to inferring deterministic causal chains from pertinent empirical data. It will be shown that to every deterministic chain there exists an empirically equivalent common cause structure. Thus, our overall conviction that deterministic chains are one of the most ubiquitous (macroscopic) causal structures is underdetermined by empirical data. It will be argued that even though the chain and its associated common cause model are empirically equivalent there exists an important asymmetry between (...)
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  4. Gunnar Björnsson (2007). How Effects Depend on Their Causes, Why Causal Transitivity Fails, and Why We Care About Causation. Philosophical Studies 133 (3):349-390.
    Despite recent efforts to improve on counterfactual theories of causation, failures to explain how effects depend on their causes are still manifest in a variety of cases. In particular, theories that do a decent job explaining cases of causal preemption have problems accounting for cases of causal intransitivity. Moreover, the increasing complexity of the counterfactual accounts makes it difficult to see why the concept of causation would be such a central part of our cognition. In this paper, I propose an (...)
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  5. Martijn Blaauw (ed.) (2013). Contrastivism in Philosophy. Routledge.
    This volume brings together state-of-the-art research on the contrastive treatment of philosophical concepts and questions, including knowledge, belief, free will, moral luck, Bayesian confirmation theory, causation, and explanation.
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  6. David Danks, David Rose & Edouard Machery (2013). Demoralizing Causation. Philosophical Studies (2):1-27.
    There have recently been a number of strong claims that normative considerations, broadly construed, influence many philosophically important folk concepts and perhaps are even a constitutive component of various cognitive processes. Many such claims have been made about the influence of such factors on our folk notion of causation. In this paper, we argue that the strong claims found in the recent literature on causal cognition are overstated, as they are based on one narrow type of data about a particular (...)
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  7. Isabelle Drouet (2012). Causal Reasoning, Causal Probabilities, and Conceptions of Causation. Studies in History and Philosophy of Science Part C 43 (4):761-768.
    The present paper deals with the tools that can be used to represent causation and to reason about it and, specifically, with their diversity. It focuses on so-called “causal probabilities”—that is, probabilities of effects given one of their causes—and critically surveys a recent paper in which Joyce argues that the values of these probabilities do not depend on one’s conception of causation. I first establish a stronger independence claim: I show that the very definition of causal probabilities is independent of (...)
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  8. Ahmet Ekici & Sule Onsel (2013). How Ethical Behavior of Firms is Influenced by the Legal and Political Environments: A Bayesian Causal Map Analysis Based on Stages of Development. [REVIEW] Journal of Business Ethics 115 (2):271-290.
    Even though potential impacts of political and legal environments of business on ethical behavior of firms (EBOF) have been conceptually recognized, not much evidence (i.e., empirical work) has been produced to clarify their role. In this paper, using Bayesian causal maps (BCMs) methodology, relationships between legal and political environments of business and EBOF are investigated. The unique design of our study allows us to analyze these relationships based on the stages of development in 92 countries around the world. The EBOF (...)
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  9. Clark Glymour, Causal Mechanism and Probability: A Normative Approach.
    & Carnegie Mellon University Abstract The rationality of human causal judgments has been the focus of a great deal of recent research. We argue against two major trends in this research, and for a quite different way of thinking about causal mechanisms and probabilistic data. Our position rejects a false dichotomy between "mechanistic" and "probabilistic" analyses of causal inference -- a dichotomy that both overlooks the nature of the evidence that supports the induction of mechanisms and misses some important probabilistic (...)
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  10. Alison Gopnik & Laura Schulz (eds.) (2007). Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press.
    Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories of concepts and (...)
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  11. Paul Henne, Ángel Pinillos & Felipe De Brigard (forthcoming). Cause by Omission and Norm: Not Watering Plants. Australasian Journal of Philosophy:1-14.
    People generally accept that there is causation by omission—that the omission of some events cause some related events. But this acceptance elicits the selection problem, or the difficulty of explaining the selection of a particular omissive cause or class of causes from the causal conditions. Some theorists contend that dependence theories of causation cannot resolve this problem. In this paper, we argue that the appeal to norms adequately resolves the selection problem for dependence theories, and we provide novel experimental evidence (...)
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  12. Christopher Hitchcock (2003). Of Humean Bondage. British Journal for the Philosophy of Science 54 (1):1-25.
    There are many ways of attaching two objects together: for example, they can be connected, linked, tied or bound together; and the connection, link, tie or bind can be made of chain, rope, or cement. Every one of these binding methods has been used as a metaphor for causation. What is the real significance of these metaphors? They express a commitment to a certain way of thinking about causation, summarized in the following thesis: ‘In any concrete situation, there is an (...)
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  13. Joshua Knobe (2010). Person as Scientist, Person as Moralist. Behavioral and Brain Sciences 33 (4):315.
    It has often been suggested that people’s ordinary capacities for understanding the world make use of much the same methods one might find in a formal scientific investigation. A series of recent experimental results offer a challenge to this widely-held view, suggesting that people’s moral judgments can actually influence the intuitions they hold both in folk psychology and in causal cognition. The present target article distinguishes two basic approaches to explaining such effects. One approach would be to say that the (...)
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  14. Jonathan Kominsky, Jonathan Phillips, Tobias Gerstenberg, David Lagnado & Joshua Knobe (2016). Causal Superseding. Cognition 137:196-209.
    When agents violate norms, they are typically judged to be more of a cause of resulting outcomes. In this paper, we suggest that norm violations also affect the causality attributed to other agents, a phenomenon we refer to as ‘‘causal superseding.’’ We propose and test a counterfactual reasoning model of this phenomenon in four experiments. Experiments 1 and 2 provide an initial demonstration of the causal superseding effect and distinguish it from previously studied effects. Experiment 3 shows that this causal (...)
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  15. B. Ingemar B. Lindahl (2009). On Causal Attribution. Dissertation, Stockholm University
    This dissertation treats of the problem of attributing the occurrence of an individual event or state to a single cause — a problem commonly understood either as a question of distinguishing the cause from the mere conditions or as a matter of singling out, from several causes, one cause, as the cause. The main purpose of the study is to clarify some basic concepts, and some criteria of ascertainment of the cause, that may be discerned in the literature on causal (...)
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  16. B. Ingemar B. Lindahl (1984). On the Selection of Causes of Death: An Analysis of WHO’s Rules for Selection of the Underlying Cause of Death. In Lennart Nordenfelt & B. Ingemar B. Lindahl (eds.), Health, Disease, and Causal Explanations in Medicine. D. Reidel Publishing Company 137-152.
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  17. Jonathan Livengood & David Rose (forthcoming). Experimental Philosophy and Causal Attribution. In Justin Sytsma & Wesley Buckwalter (eds.), A Companion to Experimental Philosophy. Blackwell
    Humans often attribute the things that happen to one or another actual cause. In this chapter, we survey some recent philosophical and psychological research on causal attribution. We pay special attention to the relation between graphical causal modeling and theories of causal attribution. We think that the study of causal attribution is one place where formal and experimental techniques nicely complement one another.
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  18. Christopher G. Lucas & Charles Kemp (2015). An Improved Probabilistic Account of Counterfactual Reasoning. Psychological Review 122 (4):700-734.
    When people want to identify the causes of an event, assign credit or blame, or learn from their mistakes, they often reflect on how things could have gone differently. In this kind of reasoning, one considers a counterfactual world in which some events are different from their real-world counterparts and considers what else would have changed. Researchers have recently proposed several probabilistic models that aim to capture how people do (or should) reason about counterfactuals. We present a new model and (...)
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  19. Conor Mayo-Wilson (2011). The Problem of Piecemeal Induction. Philosophy of Science 78 (5):864-874.
    It is common to assume that the problem of induction arises only because of small sample sizes or unreliable data. In this paper, I argue that the piecemeal collection of data can also lead to underdetermination of theories by evidence, even if arbitrarily large amounts of completely reliable experimental and observational data are collected. Specifically, I focus on the construction of causal theories from the results of many studies (perhaps hundreds), including randomized controlled trials and observational studies, where the studies (...)
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  20. Kevin McCain & Ted Poston (2014). Why Explanatoriness Is Evidentially Relevant. Thought: A Journal of Philosophy 3 (2):145-153.
    William Roche and Elliott Sober argue that explanatoriness is evidentially irrelevant. This conclusion is surprising since it conflicts with a plausible assumption—the fact that a hypothesis best explains a given set of data is evidence that the hypothesis is true. We argue that Roche and Sober's screening-off argument fails to account for a key aspect of evidential strength: the weight of a body of evidence. The weight of a body of evidence affects the resiliency of probabilities in the light of (...)
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  21. Teresa McCormack, Stephen Andrew Butterfill, Christoph Hoerl & Patrick Burns (2009). Cue Competition Effects and Young Children's Causal and Counterfactual Inferences. Developmental Psychology 45 (6):1563-1575.
    The authors examined cue competition effects in young children using the blicket detector paradigm, in which objects are placed either singly or in pairs on a novel machine and children must judge which objects have the causal power to make the machine work. Cue competition effects were found in a 5- to 6-year-old group but not in a 4-year-old group. Equivalent levels of forward and backward blocking were found in the former group. Children's counterfactual judgments were subsequently examined by asking (...)
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  22. Teresa McCormack, Christoph Hoerl & Stephen Andrew Butterfill (eds.) (2011). Tool Use and Causal Cognition. OUP Oxford.
    What cognitive abilities underpin the use of tools, and how are tools and their properties represented or understood by tool-users? Does the study of tool use provide us with a unique or distinctive source of information about the causal cognition of tool-users? -/- Tool use is a topic of major interest to all those interested in animal cognition, because it implies that the animal has knowledge of the relationship between objects and their effects. There are countless examples of animals developing (...)
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  23. Christopher Mole (2012). Three Philosophical Lessons for the Analysis of Criminal and Military Intelligence. Intelligence and National Security 27 (4):441-58.
    It has recently been suggested that philosophy – in particular epistemology – has a contribution to make to the analysis of criminal and military intelligence. The present article pursues this suggestion, taking three phenomena that have recently been studied by philosophers, and showing that they have important implications for the gathering and sharing of intelligence, and for the use of intelligence in the determining of military strategy. The phenomena discussed are: (1) Simpson's Paradox, (2) the distinction between resiliency and reliability (...)
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  24. Lennart Nordenfelt & B. Ingemar B. Lindahl (eds.) (1984). Health, Disease, and Causal Explanations in Medicine. Reidel.
  25. Niki Pfeifer & R. Stöckle-Schobel (2015). Uncertain Conditionals and Counterfactuals in (Non-)Causal Settings. In G. Arienti, B. G. Bara & G. Sandini (eds.), Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science (4th European Conference on Cognitive Science; 10th International Conference on Cognitive Science). CEUR Workshop Proceedings 651-656.
    Conditionals are basic for human reasoning. In our paper, we present two experiments, which for the first time systematically compare how people reason about indicative conditionals (Experiment 1) and counterfactual conditionals (Experiment 2) in causal and non-causal task settings (N = 80). The main result of both experiments is that conditional probability is the dominant response pattern and thus a key ingredient for modeling causal, indicative, and counterfactual conditionals. In the paper, we will give an overview of the main experimental (...)
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  26. Ana Rosa Pérez Ransanz (2011). El papel de las emociones en la producción de conocimiento. Estudios Filosóficos 60 (173):51-64.
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  27. Kevin Reuter, Lara Kirfel, Raphael van Riel & Luca Barlassina (2014). The Good, the Bad, and the Timely: How Temporal Order and Moral Judgment Influence Causal Selection. Frontiers in Psychology 5:1-10.
    Causal selection is the cognitive process through which one or more elements in a complex causal structure are singled out as actual causes of a certain effect. In this paper, we report on an experiment in which we investigated the role of moral and temporal factors in causal selection. Our results are as follows. First, when presented with a temporal chain in which two human agents perform the same action one after the other, subjects tend to judge the later agent (...)
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  28. Craig Roxborough & Jill Cumby (2009). Folk Psychological Concepts: Causation. Philosophical Psychology 22 (2):205-213.
    Which factors influence the folk application of the concept of causation? Knobe has argued that causal judgments are primarily influenced by the moral valence of the behavior under consideration. Whereas Driver has pointed out that the data Knobe relies on can also be used to support the claim that it is the atypicality of the agent's behavior that influences our willingness to assign causality to that agent. While Knobe and Fraser have provided a further study to address the cogency of (...)
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  29. Jana Samland & Michael Waldmann (forthcoming). Highlighting the Causal Meaning of Causal Test Questions in Contexts of Norm Violations. Proceedings of the Cognitive Science Society.
    Experiments have shown that prescriptive norms often influence causal inferences. The reason for this effect is still not clear. One problem of the studies is that the term ‘cause’ in the test questions is ambiguous and can refer to both the causal mechanism and the agent’s accountability. Possibly subjects interpreted the causal test question as a request to assess accountability rather than causality. Scenarios that put more stress on the causal mechanism should therefore yield no norm effect. Consequently, Experiment 1 (...)
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  30. David H. Sanford (2009). Causation. In Jaegwon Kim, Ernest Sosa & Gary S. Rosenkrantz (eds.), A Companion to Metaphysics. Wiley-Blackwell
    Twenty-one paragraphs in this entry begin with a statement of a view about causation. To help organize the entry, the next sentence then classifies the view as 'prevailing, majority, controversial', or 'minority'. The following brief discussions attempt to be clear and fair. Respect for fairness, however, does not prevent the author from referring to his own views. For example, the author classifies "There is no element of genuine a priori reasoning in causal inference" as a majority view. After expounded the (...)
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  31. David H. Sanford (1994). Causation and Intelligibility. Philosophy 69 (267):55 - 67.
    Hume, in "An Enquiry Concerning Human Understanding", holds (1) that all causal reasoning is based on experience and (2) that causal reasoning is based on nothing but experience. (1) does not imply (2), and Hume's good reasons for (1) are not good reasons for (2). This essay accepts (1) and argues against (2). A priori reasoning plays a role in causal inference. Familiar examples from Hume and from classroom examples of sudden disappearances and radical changes do not show otherwise. A (...)
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  32. Jonathan Schaffer (2012). Causal Contextualisms. In Martijn Blaauw (ed.), Contrastivism in Philosophy: New Perspectives. Routledge
    Causal claims are context sensitive. According to the old orthodoxy (Mackie 1974, Lewis 1986, inter alia), the context sensitivity of causal claims is all due to conversational pragmatics. According to the new contextualists (Hitchcock 1996, Woodward 2003, Maslen 2004, Menzies 2004, Schaffer 2005, and Hall ms), at least some of the context sensitivity of causal claims is semantic in nature. I want to discuss the prospects for causal contextualism, by asking why causal claims are context sensitive, what they are sensitive (...)
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  33. Jason Shepard & Wolff Phillip (2013). Intentionality, Evaluative Judgments, and Causal Structure. Proceedings of the 35th Annual Conference of the Cognitive Science Society 35:3390-3395.
    The results from a number of recent studies suggest that ascriptions of intentionality are based on evaluative considerations: specifically, that the likelihood of viewing a person’s actions as intentional is greater when the outcome is bad than good (see Knobe, 2006, 2010). In this research we provide an alternative explanation for these findings, one based on the idea that ascriptions of intentionality depend on causal structure. As predicted by the causal structure view, we observed that actions leading to bad outcomes (...)
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  34. Beckett Sterner (forthcoming). The Epistemology of Causal Selection: Insights From Systems Biology. In C. Kenneth Waters (ed.), Causal Reasoning in Biology. University of Minnesota Press
    Among the many causes of an event, how do we distinguish the important ones? Are there ways to distinguish among causes on principled grounds that integrate both practical aims and objective knowledge? Psychologist Tania Lombrozo has suggested that causal explanations “identify factors that are ‘exportable’ in the sense that they are likely to subserve future prediction and intervention” (Lombrozo 2010, 327). Hence portable causes are more important precisely because they provide objective information to prediction and intervention as practical aims. However, (...)
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  35. Michael Strevens (2007). Why Represent Causal Relations? In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, Computation. Oxford University Press 245--260.
    Why do we represent the world around us using causal generalizations, rather than, say, purely statistical generalizations? Do causal representations contain useful additional information, or are they merely more efficient for inferential purposes? This paper considers the second kind of answer: it investigates some ways in which causal cognition might aid us not because of its expressive power, but because of its organizational power. Three styles of explanation are considered. The first, building on the work of Reichenbach in "The Direction (...)
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  36. Justin Sytsma, Jonathan Livengood & David Rose (2012). Two Types of Typicality: Rethinking the Role of Statistical Typicality in Ordinary Causal Attributions. Studies in History and Philosophy of Science Part C 43 (4):814-820.
    Empirical work on the use of causal language by ordinary people indicates that their causal attributions tend to be sensitive not only to purely descriptive considerations, but also to broadly moral considerations. For example, ordinary causal attributions appear to be highly sensitive to whether a behavior is permissible or impermissible. Recently, however, a consensus view has emerged that situates the role of permissibility information within a broader framework: According to the consensus, ordinary causal attributions are sensitive to whether or not (...)
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  37. Paul Taborsky (2010). The Logic of Cultures. Peter Lang.
    This book proposes to identify three long-term structures in causal reasoning - in particular, in terms of the relationship between cause and identity - that appear to be of value in categorizing and organizing various trends in philosophical thought.<br>Such conceptual schemes involve a host of philosophical dilemmas (such as the problem of relativism), which are examined in the first chapter. A number of naturalistic and transcendental approaches to this problem are also analysed.<br>In particular, the book attempts to construct a theoretical (...)
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  38. Cory D. Wright (2015). The Ontic Conception of Scientific Explanation. Studies in History and Philosophy of Science Part A 54:20-30.
    Wesley Salmon’s version of the ontic conception of explanation is a main historical root of contemporary work on mechanistic explanation. This paper examines and critiques the philosophical merits of Salmon’s version, and argues that his conception’s most fundamental construct is either fundamentally obscure, or else reduces to a non-ontic conception of explanation. Either way, the ontic conception is a misconception.
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