Counterfactual Causation and Mental Causation

Counterfactual conditionals have been appealed to in various ways to show how the mind can be causally efficacious. However, it has often been overestimated what the truth of certain counterfactuals actually indicates about causation. The paper first identifies four approaches that seem to commit precisely this mistake. The arguments discussed involve erroneous assumptions about the connection of counterfactual dependence and genuine causation, as well as a disregard of the requisite evaluation conditions of counterfactuals. In a second step, the paper uses the insights of the foregoing analyses to formulate a set of counterfactuals-based conditions that are characterized as sufficient to establish singular causal claims. The paper concludes that there are ample reasons to believe that some mental events satisfy all these conditions with respect to certain further events and, hence, that mental events sometimes are causes.     

Sparse Causation and Mere Abundant Causation

Philosophical Studies - Setting off from a familiar distinction in the philosophy of properties, this paper introduces a tripartite distinction between sparse causation, abundant causation and mere...     

Mental Causation and the Metaphysics of Causation

The paper argues for four claims: (1) The problem of mental causation and the argument for its solution in terms of the identity of mental with physical causes are independent of the theory of causation one favours. (2) If one considers our experience of agency as described by folk psychology to be veridical, one is committed to an anti-Humean metaphysics of causation in terms of powers that establish necessary connections. The same goes for functional properties in general. (3) A metaphysics of causation in terms of powers is compatible with physics. (4) If combined with the argument for mental causes being identical with physical causes, that metaphysics leads to a conservative reductionism.     

Causation

As cause we often specify an event the occurrence of which first guaranteed that of the effect. This notion is explicated in a framework of branching worlds in Sections I to V. VI and VII point out its close relations to the concept of an agent's bringing about an event. The topic of the last two sections is the distinction between causes and necessary circumstances. For this purpose conditionals are used, interpreted with respect to branching worlds without a similarity relation between them.     

Computation and Causation

The computer's effect on our understanding of causation has been enormous. By the mid-1980s, philosophical and social-scientific work on the topic had left us with (1) no reasonable reductive account of causation and (2) a class of statistical causal models tied to linear regression. At this time, computer scientists were attacking the problem of equipping robots with models of the external that included probabilistic portrayals of uncertainty. To solve the problem of efficiently storing such knowledge, they introduced Bayes Networks and directed graphs. By attaching a causal interpretation to Bayes Networks, the philosophy of causation changed dramatically. We are now able to be extremely general about how causal structure connects to data, and systematic about when causal structures are empirically indistinguishable. In this essay I try to motivate and describe this synthesis.     

Nonmonotonic Reasoning and Causation

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 of causation is offered that relies upon this connection, and compares this proposal to previous accounts within philosophy and artificial intelligence.     

Causation and Counterfactual Dependence

Recently Stephen Barker has raised stimulating objections to the thesis that, roughly speaking, if two events stand in a relation of counterfactual dependence, they stand in a causal relation. As Ned Hall says, however, this thesis constitutes the strongest part of the counterfactual analysis of causation. Therefore, if successful, Barker’s objections will undermine the cornerstone of the counterfactual analysis of causation, and hence give us compelling reasons to reject the counterfactual analysis of causation. I will argue, however, that they do not withstand scrutiny.     

Mental Causation versus Physical Causation: No Contest

Common sense supposes thoughts can cause bodily movements and thereby bring about changes in where the agent is or how his surroundings are. Many philosophers suppose that any such outcome is realized in a complex state of affairs involving only microparticles; that previous microphysical developments were sufficient to cause that state of affairs; hence that, barring overdetermination, causation by the mental is excluded. This paper argues that the microphysical swarm that realizes the outcome is an accident (Aristotle) or a coincidence (David Owens) and has no cause, though each component movement in it has one. Mental causation faces no competition "from below".     

Determination and Mental Causation

Yablo suggests that we can understand the possibility of mental causation by supposing that mental properties determine physical properties, in the classic sense of determination according to which red determines scarlet. Determinates and their determinables do not compete for causal relevance, so if mental and physical properties are related as determinable and determinates, they should not compete for causal relevance either. I argue that this solution won't work. I first construct a more adequate account of determination than that provided by Yablo. I then consider two common accounts of the mental, token identity theories and dispositional theories, and argue that on neither do mental and physical properties satisfy the requirements for determination.     

Causation and Induction1

The connection between views about causation and attempts to justify inductive reasoning is sufficiently close that some philosophers² have taken success at the latter as a litmus test for the truth of the former. I do not agree with this approach. Like Hume, I believe that the nature of causal connections must be understood prior to, and independently of, solutions to the problem of induction. Like Hume, I also hold that the problem of induction cannot be solved if Hume's analysis of causal connections is correct. But unlike Hume, I believe that that analysis is incorrect. However, I shall not attempt to establish this crucial thesis here. I mention it because this paper presupposes it. Hume's difficulty about causation must—and can—be faced head-on. There are phenomenological grounds for affirming that we sometimes directly experience nonlogical, necessary connections between events. I shall only briefly summarize these grounds, which will be argued for in detail elsewhere. The purpose of this paper is to explore the extent to which a necessitarian theory of causation can bring the problem of induction closer to solution.     

Transition Chances and Causation

Abstract: The general claims of this paper are as follows. As a result of chaotic dynamics we can usually not know what the deterministic causes of events are. There will, however, be invariant forwards transition chances from earlier types of events, which we typically call the causes, to later types of events, which we typically call the effects. There will be no invariant backwards transition chances between these types of events. This asymmetry has the same origin and explanation as the arrow of time of thermodynamics.     

Mental Causation and Shoemaker-Realization

Sydney Shoemaker has proposed a new definition of `realization’ and used it to try to explain how mental events can be causes within the framework of a non-reductive physicalism. I argue that it is not actually his notion of realization that is doing the work in his account of mental causation, but rather the assumption that certain physical properties entail mental properties that do not entail them. I also point out how his account relies on certain other controversial assumptions, including analytical filler-functionalism for mental properties, and the assumption that causes must be proportional to their effects. I conclude by pointing out that Shoemaker has provided no explanation of why, on his view, certain physical properties entail mental properties.

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Emergent Causation

Downward causation is commonly held to create problems for ontologically emergent properties. In this paper I describe two novel examples of ontologically emergent properties and show how they avoid two main problems of downward causation, the causal exclusion problem and the causal closure problem. One example involves an object whose colour does not logically supervene on the colours of its atomic parts. The other example is inspired by quantum entanglement cases but avoids controversies regarding quantum mechanics. These examples show that the causal exclusion problem can be avoided, in one case by showing how it is possible to interact with an object without interacting with its atomic parts. I accept that emergence cannot be reconciled with causal closure, but argue that violations of causal closure do not entail violations of the base-level laws. Only the latter would conflict with empirical science.