Online research in philosophy

This essay defends two theses that jointly establish a link between causal and explanatory asymmetry. The first thesis is that statements specifying facts about effects, unlike statements specifying facts about causes, are not "independently variable". The second thesis is that independent variability among purportedly explanatory factors is a necessary condition on scientific explanations.

The paper criticizes the attempt to account for the direction of causation in terms of objective statistical asymmetries, such as those of the fork asymmetry. Following Ramsey, I argue that the most plausible way to account for causal asymmetry is to regard it as "put in by hand", that is as a feature that agents project onto the world. Its temporal orientation stems from that of ourselves as agents. The crucial statistical asymmetry is an anthropocentric one, namely that we take our actions to be statistically independent of everything except (what we come to call) their effects. I argue that this account explains the intuitive plausibility of Reichenbach's principle of the common cause.

I criticize the tendency to address the causal role of awareness in agency in terms of the awareness of agency, and argue that this distorts the causal import of experimental results in significant ways. I illustrate, using the work of Shaun Gallagher, how the tendency to focus on the awareness of agency obscures the role of extrospective awareness by considering it only in terms of what it contributes to the awareness of agency. Focus on awareness of agency separates awareness from agency itself, and then turns it inwards to introspect distinct agentive processes. If we then assume that the causal influence of awareness is directed at the same object as awareness itself, then the only avenue for conscious causal involvement in action is to somehow interfere with the separate, even neuronal, processes leading to action. I label this the Micromanagement Model of conscious agency, because it forces awareness to micromanage other, nonconscious, processes in order to be causally efficacious. Implicit adherence to the Micromanagement Model prejudices us towards the mistaken conclusion that awareness has limited to no causal role in action.

In a recent paper Causal Asymmetry, Douglas Ehring has proposed an intriguing solution to the vexing problem of causal asymmetry. The aim of this paper is to show that his theory is not satisfactory. Moreover, the examples that I use in showing the defect of Ehring's theory also indicate that the counterfactual analysis of causation has a problem that cannot be remedied by Marshall Swain's suggested refinement of the counterfactual analysis of causation in Causation and Distinct Events.

Process theories of causality seek to explicate causality as a property of individual causal processes. This paper examines the capacity of such theories to account for the asymmetry of causation. Three types of theories of asymmetry are discussed; the subjective, the temporal, and the physical, the third of these being the preferred approach. Asymmetric features of the world, namely the entropic and Kaon arrows, are considered as possible sources of causal asymmetry and a physical theory of asymmetry is subsequently developed with special reference to the questions of objectivity and backwards causation.

The paper begins with a discussion of Russell's view that the notion of cause is unnecessary for science and can therefore be eliminated. It is argued that this is true for theoretical physics but untrue for medicine, where the notion of cause plays a central role. Medical theories are closely connected with practical action (attempts to cure and prevent disease), whereas theoretical physics is more remote from applications. This suggests the view that causal laws are appropriate in a context where there is a close connection to action. This leads to a development of an action-related theory of causality which is similar to the agency theory of Menzies and Price, but differs from it in a number of respects, one of which is the following. Menzies and Price connect ‘A causes B’ with an action to produce B by instantiating A, but, particularly in the case of medicine, the law can also be linked to the action of trying to avoid B by ensuring that A is not instantiated. The action-related theory has in common with the agency theory of Menzies and Price the ability to explain causal asymmetry in a simple fashion, but the introduction of avoidance actions together with some ideas taken from Russell enable some of the objections to agency accounts of causality to be met. Introduction Russell on causality Preliminary exposition of the action-related theory Differences between the action-related theory and the agency theory of Menzies and Price Explanation of causal asymmetry Objections to the action-related theory Extension of the theory to the indeterminate case.

argues that the success of the backward causation hypothesis in quantum mechanics would provide strong support for a version of Reichenbach's account of the direction of causal processes, which takes the direction of causation to rest on the fork asymmetry. He also criticises my perspectival account of the direction of causation, which takes causal asymmetry to be a projection of our own temporal asymmetry as agents. In this reply I take issue with Dowe's argument at three main points: his claim that the backward causation hypothesis in QM is incompatible with my perspectival approach to the direction of causation; his defence of the fork asymmetry approach against a general criticism of mine based on the time-symmetry of microphysics; and his application of his preferred account of the direction of causal processes to the relevant cases in QM.

This paper asks why causal asymmetries should give rise to explanatory asymmetries. One way to give some rationale for the asymmetries of causal explanation is to adopt a pragmatic view of explanation and to stress the fact that causes can be used to manipulate their effects. This paper argues, however, that when one recognizes that causal asymmetry is fundamentally an asymmetry of "connectedness", one can see how causal asymmetry leads to an objective difference between explanations in terms of causes and explanations in terms of effects. The pragmatic differences are subsidiary.

One of the most striking features of causation is that causes typically precede their effects – the causal arrow is strongly aligned with the temporal arrow. Why should this be so? We offer an opinionated guide to this problem, and to the solutions currently on offer. We conclude that the most promising strategy is to begin with the de facto asymmetry of human deliberation, characterised in epistemic terms, and to build out from there. More than any rival, this subjectivist approach promises to demystify the asymmetry, temporal orientation, and deliberative relevance of causal judgements.

This paper defends the view that the asymmetry of causation can be explained in terms of probabilistic relationships between event types. Papineau first explores three different versions of the "fork asymmetry", namely (i) David Lewis' asymmetry of overdetermination, (ii) the screening-off property of common causes, and (iii) Spirtes', Glymour's and Scheines' analysis of probabilistic graphs. He then argues that this fork asymmetry is both (i) a genuine phenomenon and (ii) a satisfactory metaphysical reduction of causal asymmetry. In his final section he shows how this reduction can account for the relevance of causal direction to human agency, and in particular for the fact that we can manipulate causes to influence their effects, but not vice versa.