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. (shrink)

Is the common cause principle merely one of a set of useful heuristics for discovering causal relations, or is it rather a piece of heavy duty metaphysics, capable of grounding the direction of causation itself? Since the principle was introduced in Reichenbach’s groundbreaking work The Direction of Time (1956), there have been a series of attempts to pursue the latter program—to take the probabilistic relationships constitutive of the principle of the common cause and use them to ground the direction of (...) causation. These attempts have not all explicitly appealed to the principle as originally formulated; it has also appeared in the guise of independence conditions, counterfactual overdetermination, and, in the causal modelling literature, as the causal markov condition. In this paper, I identify a set of difficulties for grounding the asymmetry of causation on the principle and its descendents. The first difficulty, concerning what I call the vertical placement of causation, consists of a tension between considerations that drive towards the macroscopic scale, and considerations that drive towards the microscopic scale—the worry is that these considerations cannot both be comfortably accommodated. The second difficulty consists of a novel potential counterexample to the principle based on the familiar Einstein Podolsky Rosen (EPR) correlations in quantum mechanics. (shrink)

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. (shrink)

Recent attempts to fix the direction of causal priority without reference to the direction of temporal priority have begun with an analysis of the causal relation itself. I offer a method, based on causal modelling theory, designed to determine the direction of causal priority while remaining as agnostic as possible about the nature of the causal relation.

The problem of freedom of the will and determinism is one of the most intriguing and difficult in the whole area of philosophy. It constüutes a paradox. If we look at ourselves, at our ability to deliberate and make moral choices, it seems obvious that we are free. On the other hand, if we look at what we believe about causality (i.e., that every event and thing must have a cause), then it appears that we do not have free wills (...) but are determined. Thus we seem to have inconsistent beliefs. In this paper I set forth and analyze the major contemporary arguments for free will and determinism as well as for compatibilism, the position that tries to combine insights from both theories. I end with a brief conclusion regarding my assessment of the status of the arguments. (shrink)

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.

While standard procedures of causal reasoning as procedures analyzing causal Bayesian networks are custom-built for (non-deterministic) probabilistic struc- tures, this paper introduces a Boolean procedure that uncovers deterministic causal structures. Contrary to existing Boolean methodologies, the procedure advanced here successfully analyzes structures of arbitrary complexity. It roughly involves three parts: first, deterministic dependencies are identified in the data; second, these dependencies are suitably minimalized in order to eliminate redundancies; and third, one or—in case of ambiguities—more than one causal structure is (...) assigned to the minimalized deterministic dependencies. (shrink)

Ted Honderich's ‘Causes and If p, even if x, still q ’ contains many good points I shall not discuss. My discussion is restricted to some of the points Honderich makes about causal priority in the final two sections of his paper. He considers several proposals, new and old, for accounting for causal priority before he presents a tentativeproposal of his own. He thinks that some of these proposals, besides having difficulties peculiar to themselves, share the deficiency of lacking the (...) proper character. When we look for the difference between causal circumstances and causes, on the one hand, and their effects, on the other, he says, We are not pursuing any difference between these things. We arepursuing a difference of a certain character. What we are after has to do with what we say: that causes and causal circumstances make their effects happen , and not the other way on, and that causes and causal circumstances explain their effects , and not the other way on. (shrink)