Existing research suggests that people's judgments of actual causation can be influenced by the degree to which they regard certain events as normal. We develop an explanation for this phenomenon that draws on standard tools from the literature on graphical causal models and, in particular, on the idea of probabilistic sampling. Using these tools, we propose a new measure of actual causal strength. This measure accurately captures three effects of normality on causal judgment that have been observed in existing studies. (...) More importantly, the measure predicts a new effect ("abnormal deflation"). Two studies show that people's judgments do, in fact, show this new effect. Taken together, the patterns of people's causal judgments thereby provide support for the proposed explanation. (shrink)

This book, published in 2000, is a clear account of causation based firmly in contemporary science. Dowe discusses in a systematic way, a positive account of causation: the conserved quantities account of causal processes which he has been developing over the last ten years. The book describes causal processes and interactions in terms of conserved quantities: a causal process is the worldline of an object which possesses a conserved quantity, and a causal interaction involves the exchange of conserved quantities. Further, (...) things that are properly called cause and effect are appropriately connected by a set of causal processes and interactions. The distinction between cause and effect is explained in terms of a version of the fork theory: the direction of a certain kind of ordered pattern of events in the world. This particular version has the virtue that it allows for the possibility of backwards causation, and therefore time travel. (shrink)

The concept of causation is fundamental to ascribing moral and legal responsibility for events. Yet the precise relationship between causation and responsibility remains unclear. This book clarifies that relationship through an analysis of the best accounts of causation in metaphysics, and a critique of the confusion in legal doctrine. The result is a powerful argument in favour of reforming the moral and legal understanding of how and why we attribute responsibility to agents.

This paper argues that several sorts of metaphysical and semantic indeterminacy afflict the causal relation. If, as it is plausible to hold, there is a relationship between causation and moral responsibility, then indeterminacy in the causal relation results in indeterminacy of moral responsibility more generally.

In this important book, Ellery Eells explores and refines philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of what (...) it is for one factor to be a positive causal factor for another. A salient feature of the book is a theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central. This will be a book of crucial significance to philosophers of science and metaphysicians; it will also prove stimulating to many economists, psychologists, and physicists. (shrink)

Comparisons of causal efficacy are ubiquitous in the practice of science and indeed everyday life. I focus on just one aspect of this task – one to my knowledge nowhere yet addressed satisfactorily – namely, comparing the efficacies of two causes that work in apparently incommensurable ways. Contrary to common opinion I argue that, to be comparable, it is neither necessary nor sufficient that two causes also be commensurable.

This paper poses an original puzzle about the relationship between causation and moral responsibility called The Moral Difference Puzzle. Using the puzzle, the paper argues for three related ideas: (1) the existence of a new sort of moral luck; (2) an intractable conflict between the causal concepts used in moral assessment; and (3) inability of leading theories of causation to capture the sorts of causal differences that matter for moral evaluation of agents’ causal contributions to outcomes.

, whereby some causes are deemed more important than others, are ubiquitous in historical studies. Drawing from influential recent work on causation, I develop a definition of causal-explanatory strength. This makes clear exactly which aspects of explanatory weighting are subjective and which objective. It also sheds new light on several traditional issues, showing for instance that: underlying causes need not be more important than proximate ones; several different causes can each be responsible for most of an effect; small causes need (...) not be less important than big ones; and non-additive interactive effects between causes present no particular difficulty. Key Words: causation • explanation • history • interaction • proximate • underlying. (shrink)

Questions about the metaphysics of causation may be usefully divided as follows. First, there are questions about the nature of the causal relata, including (1.1) whether they are in spacetime immanence), (1.2) how fine grained they are individuation), and (1.3) how many there are adicity). Second, there are questions about the metaphysics of the causal relation, including (2.1) what is the difference between causally related and causally unrelated sequences connection), (2.2) what is the difference between sequences related as cause to (...) effect, and those related as effect to cause or as joint effects of a common cause direction), and (2.3) what is the difference between sequences involving the cause, and those involving mere conditions selection). (shrink)

Standard statistical measures of strength of association, although pioneered by Pearson deliberately to be acausal, nowadays are routinely used to measure causal efficacy. But their acausal origins have left them ill suited to this latter purpose. I distinguish between two different conceptions of causal efficacy, and argue that: 1) Both conceptions can be useful 2) The statistical measures only attempt to capture the first of them 3) They are not fully successful even at this 4) An alternative definition more squarely (...) based on causal thinking not only captures the second conception, it can also capture the first one better too. (shrink)

How do people attribute responsibility in situations where the contributions of multiple agents combine to produce a joint outcome? The prevalence of over-determination in such cases makes this a difficult problem for counterfactual theories of causal responsibility. In this article, we explore a general framework for assigning responsibility in multiple agent contexts. We draw on the structural model account of actual causation (e.g., Halpern & Pearl, 2005) and its extension to responsibility judgments (Chockler & Halpern, 2004). We review the main (...) theoretical and empirical issues that arise from this literature and propose a novel model of intuitive judgments of responsibility. This model is a function of both pivotality (whether an agent made a difference to the outcome) and criticality (how important the agent is perceived to be for the outcome, before any actions are taken). The model explains empirical results from previous studies and is supported by a new experiment that manipulates both pivotality and criticality. We also discuss possible extensions of this model to deal with a broader range of causal situations. Overall, our approach emphasizes the close interrelations between causality, counterfactuals, and responsibility attributions. (shrink)

In this response to the review of Moore, Causation and Responsibility, by Larry Alexander and Kimberly Ferzan, previously published in this journal, two issues are discussed. The first is whether causation, counterfactual dependence, moral blame, and culpability, are all scalar properties or relations, that is, matters of more-or-less rather than either-or. The second issue discussed is whether deontological moral obligation is best described as a prohibition against using another as a means, or rather, as a prohibition on an agent strongly (...) causing a prohibited result that was not about to happen anyway while intending to do so. (shrink)

The concept of causation is fundamental to ascribing moral and legal responsibility for events. Yet the precise relationship between causation and responsibility remains unclear. This book clarifies that relationship through an analysis of the best accounts of causation in metaphysics, and a critique of the confusion in legal doctrine.

Does a person's liability to attack during a war depend on the nature of their individual causal contribution to the (unjust) threat posed? If so, how? The recent literature on the ethics of war has become increasingly focused on questions of this kind. According to some views on these matters, your liability hinges on the extent of your causal contribution: the larger your contribution to an unjust threat, the larger the amount of harm that we can impose on you in (...) order to avert the threat. Some philosophers have suggested that we can ground a quite general principle of civilian immunity on this basis. But, do causal contributions really come in degrees? Can we make sense of a graded notion of causal contribution that can be relevant to debates about liability in war? I argue there is good reason to be sceptical. The appearance that causal contributions come in degrees is just an illusion that can be explained away. (shrink)

Are there ‘degrees of causation’? Yes and no: causation is not a scalar relation, but different causes can contribute to a causing of an effect to different extents. In this paper, I motivate a probabilistic analysis of an event’s degree of contribution to a causing of an effect and explore some of its consequences.

Moral responsibility and morality lie at the heart of how we view the world. In our daily life, we feel responsibility-related emotions: gratitude, pride, love, forgiveness, resentment, indignation, and shame. We love those who freely and reciprocally love us. Also, we feel that people act rightly or wrongly, make the world better or worse, and are virtuous or vicious. These policies are central to our justifying how we see the world and treat others. In this book, I argue that our (...) views on these matters, except love, are false. (shrink)

It typically taken for granted that agents can be morally responsible for such things as, for example, the death of the victim and the capture of the murderer in the sense that one may be blameworthy or praiseworthy for such things. The primary task of a theory of moral responsibility, it is thought, is to specify the appropriate relationship one must stand to such things in order to be morally responsible for them. I argue that this common approach is problematic (...) because it attempts to explain the way in which an agent can be morally responsible for something that is external to her, the agent. Since, I argue, everything that matters for moral responsibility is internal to the agent, the accounts that emerge from this approach are committed to a particular form of moral luck. Instead, we should reject this form of moral luck, and with it, the possibility of moral responsibility for objects external to the agent. We are, I argue, morally responsible only for our inner willings. Thus, a form of internalism about moral responsibility is defended. (shrink)

Partial explanations are everywhere. That is, explanations citing causes that explain some but not all of an effect are ubiquitous across science, and these in turn rely on the notion of degree of explanation. I argue that current accounts are seriously deficient. In particular, they do not incorporate adequately the way in which a cause’s explanatory importance varies with choice of explanandum. Using influential recent contrastive theories, I develop quantitative definitions that remedy this lacuna, and relate it to existing measures (...) of degree of causation. Among other things, this reveals the precise role here of chance, as well as bearing on the relation between causal explanation and causation itself. (shrink)

It is often natural to compare two events by describing one as ‘more of a cause’ of some effect than the other. But what do such comparisons amount to, exactly? This paper aims to provide a guided tour of the recent literature on ‘degrees of causation’. Section 2 looks at what I call ‘dependence measures’, which arise from thinking of causes as difference‐makers. Section 3 looks at what I call ‘production measures’, which arise from thinking of causes as jointly sufficient (...) for their effects. Finally, section 4 examines the important question of whether there is any sense in which an agent is more responsible for an outcome in virtue of her action being more of a cause of it. I describe a puzzle that emerges from this question, and explore various strategies for resolving it. (shrink)

This article explores the extent to which the magnitude of harm that a person is liable to suffer to avert a threat depends on the magnitude of her causal contribution to the threat. Several different versions of this view are considered. The conclusions are mostly skeptical—facts that may determine how large of a causal contribution a person makes to a threat are not morally significant, or not sufficiently significant to make an important difference to liability. However, understanding ways in which (...) causation may be scalar helps to deepen our understanding of other morally significant facts, such as responsibility. (shrink)

The primary aim of this paper is to analyze the concept of degrees of causal contribution for actual events and examine the way in which it can be formally defined. This should go some way to filling out a gap in the legal and philosophical literature on causation. By adopting the conception of a cause as a necessary element of a sufficient set (the so-called NESS test) we show that the concept of degrees of causation can be given clear and (...) even empirical meaning. We then apply a game theoretical framework to derive a measure of causal contribution. Our favoured measure turns out to be a generalised version of the normalized Penrose–Banzhaf index of voting power. (shrink)

This paper develops axiomatic foundations for a probabilistic-interventionist theory of causal strength. Transferring methods from Bayesian confirmation theory, I proceed in three steps: I develop a framework for defining and comparing measures of causal strength; I argue that no single measure can satisfy all natural constraints; I prove two representation theorems for popular measures of causal strength: Pearl's causal effect measure and Eells' difference measure. In other words, I demonstrate these two measures can be derived from a set of plausible (...) adequacy conditions. The paper concludes by sketching future research avenues. (shrink)

The primary aim of this paper is to analyze the concept of degrees of causal contribution for actual events and examine the way in which it can be formally defined. This should go some way to filling out a gap in the legal and philosophical literature on causation. By adopting the conception of a cause as a necessary element of a sufficient set (the so-called NESS test) we show that the concept of degrees of causation can be given clear and (...) even empirical meaning. We then apply a game theoretical framework to derive a measure of causal contribution. Our favoured measure turns out to be a generalised version of the normalized Penrose-Banzhaf index of voting power. (shrink)

In most cases, liability in tort law is all-or-nothing—a defendant is either fully liable or not at all liable for a claimant's loss. By contrast, this paper defends a causal theory of partial liability. I argue that a defendant should be held liable for a claimant's loss only to the degree to which the defendant's wrongdoing contributed to the causing of the loss. I ground this principle in a conception of tort law as a system of corrective justice and use (...) it to critically evaluate different mechanisms for “limiting” liability for consequences of wrongdoing and for “apportioning” liability between multiple wrongdoers. (shrink)

(No abstract is available for this citation).