Process Theories of Causation

This paper articulates an account of causation as a collection of information-theoretic relationships between patterns instantiated in the causal nexus. I draw on Dennett’s account of real patterns to characterize potential causal relata as patterns with specific identification criteria and noise tolerance levels, and actual causal relata as those patterns instantiated at some spatiotemporal location in the rich causal nexus as originally developed by Salmon. I develop a representation framework using phase space to precisely characterize causal relata, including their degree (...) of counterfactual robustness, causal profiles, causal connectivity, and privileged grain size. By doing so, I show how the philosophical notion of causation can be rendered in a format that is amenable for direct application of mathematical techniques from information theory such that the resulting informational measures are causal informational measures. This account provides a metaphysics of causation that supports interventionist semantics and causal modeling and discovery techniques. (shrink)

Empiricists mostly prefer an epistemic notion of causality intending thereby to avoid metaphysical entanglements. General relativity however provides examples for causality without predictability, i. e. world models in which for geometrical reasons there exist no spacelike hypersurfaces containing traces of all future events. Yet local determinism for every single event remains valid in these cases. Therefore the problem arises how to account for a causal structure that implies local but not global predictability. This problem, it is argued, cannot be solved (...) by characterizing the causal connection of events itself by means of its epistemic aspects. Instead the ontological ground must be emphazised which allows for varying epistemic properties of causal connections according to the space-time structure. This can be done by use of the energy transfer concept of causality which involves no reminiscence of dubious natural necessity. (shrink)

Since the late nineties there has been an increased interested in probabilistic logic learning, an area within AI that combines machine learning with logic-based knowledge representation and uncertainty reasoning. Several different formalisms for combining first-order logic with probability reasoning have been proposed, and it has been studied how models in these formalisms can be automatically learned from data. -/- This talk starts with a brief introduction to probabilistic logic learning, after which we will focus on a relatively new formalism known (...) as CP-logic. CP-logic stands for “causal probabilistic logic”. It is a knowledge representation formalism that allows us to write down rules that indicate that a certain combination of conditions may cause certain effects with a particular probability (e.g., tossing a coin may cause a result of heads or tails, each with 50% probability). Besides the fact that this formalism is interesting for knowledge representation in itself, it also offers interesting opportunities from the machine learning point of view. Indeed, given the semantics of these CP-logic programs, learning them from data amounts to extracting probabilistic causal influences from data. We will discuss recent research on learning CP-logic programs, including: algorithms for learning them; how they relate to graphical models; and applications of learning CP-logic programs. (shrink)

I argue against a priori objections to the view that causation may be reducible to some micro-structural process in principle discoverable by physics. I distinguish explanation from causation, and argue that the main objections to such a reduction stem from conflating these two notions. Explanation is the collection of pragmatically relevant, possibly counterfactual information about causation; and causation is to be identified in a necessary a posteriori way with whatever physical processes underwrite our explanatory claims.

Ever since Wesley Salmon’s theory, the mechanical approach to causality has found an increasing number of supporters who have developed it in different directions. Mechanical views such as those advanced by Stuart Glennan, Jim Bogen and Peter Machamer, Lindley Darden and Carl Craver have met with broad consensus in recent years. This paper analyses the main features of these mechanical positions and some of the major problems they still face, referring to the latest debate on mechanisms, causal explanation and the (...) relationship between mechanisms and counterfactuals. I shall claim that the mechanical approach can be recognised as having a fundamental explanatory power, whereas the counterfactual approach, recently developed mainly by Jim Woodward and essentially linked to the notion of intervention, has an important heuristic role. Claiming that mechanisms are by no means to be seen as parasitic on counterfactuals or less fundamental than them – as it has been recently suggested –, and that yet counterfactuals can play a part in a conceptual analysis of causation, I shall look for hints in support of the peaceful coexistence of the two. (shrink)

Minimally, causal realism (as understood here) is the view that accounts of causation in terms of mere, regular or probabilistic conjunction are unsatisfactory, and that causal phenomena are correctly associated with some form of de re necessity. Classic arguments, however, some of which date back to Sextus Empiricus and have appeared many times since, including famously in Russell, suggest that the very notion of causal realism is incoherent. In this paper I argue that if such objections seem compelling, it is (...) only because everyday expressions concerning causal phenomena are misleading with respect to certain metaphysical details. These expressions generally make reference to the relations of events or states of affairs, but ignore or obscure the role played by causal properties. I argue that on a proposed alternative, an analysis in terms of causal processes, more refined descriptions of causal phenomena escape the charge of incoherence. Causal necessity is here located in the relations of causal properties. I distinguish this view from the recent process theories of Salmon and Dowe, which are disinterested in causal realism. (shrink)

Advocates of the conserved quantity (CQ) theory of causation have their own peculiar problem with conservation laws. Since they analyze causal process and interaction in terms of conserved quantities that are in turn defined as physical quantities governed by conservation laws, they must formulate conservation laws in a way that does not invoke causation, or else circularity threatens. In this paper I will propose an adequate formulation of a conservation law that serves CQ theorists' purpose.

In this paper I examine Salmon's response to two counterexamples to his conserved quantity (CQ) theory of causation. The first counterexample that I examine involves a time‐wise gerrymandered world line of a series of patches of wall that is absorbing energy as a result of being illuminated in an astrodome. Salmon says that since the gerrymandered world line does not fulfill his “no‐interaction requirement,” his CQ theory does not suffer from the counterexample. But I will argue that his response fails (...) both at a theoretical level and at a practical level. In so doing I point out a problem for CQ theorists' definition of a causal interaction. The second counterexample is concerned with a time‐wise gerrymandered world line of a series of patches that are in shadow, in Hitchcock's well‐known example. Salmon's response is based on a principle that Salmon thinks is derivable from the concept of a conserved quantity. However, I argue that the principle has a counterexample. (shrink)

In this paper I consider possible causation, specifically, would-cause counterfactuals of the form ‘had an event of kind A occurred, it would have caused an event of kind B’. I outline some difficulties for the Lewis program for understanding would-cause counterfactuals, and canvass an alternative. I then spell out a view on their significance, in relation to (i) absence causation, where claims such as ‘A’s not occurring caused B’s not occurring’ seem to make sense when understood in terms of the (...) would-cause counterfactual ‘had an event of kind A occurred, it would have caused an event of kind B’; (ii) contrastive causal explanation, where to explain why E rather than E* occurred we might appeal to the causal history of E and the counterfactual causal history of E*, an approach which appeals directly to would-cause counterfactuals ‘had an event of kind C* occurred, it would have caused an event of kind E*’; and (iii) dispositions, where the claim ‘the glass is fragile’ clearly has some connection or other with would-cause counterfactuals such as ‘were the glass to be struck, the striking would cause the glass to break’. (shrink)

I defend the conserved quantity theory of causation against two objections: firstly, that to tie the notion of “cause” to conservation laws is impossible, circular or metaphysically counterintuitive; and secondly, that the conserved quantity theory entails an undesired notion of identity through time. My defence makes use of an important meta-philosophical distinction between empirical analysis and conceptual analysis. My claim is that the conserved quantity theory of causation must be understood primarily as an empirical, not a conceptual, analysis of causation.

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)

In this paper I offer an 'integrating account' of singular causation, where the term 'integrating' refers to the following program for analysing causation. There are two intuitions about causation, both of which face serious counterexamples when used as the basis for an analysis of causation. The 'process' intuition, which says that causes and effects are linked by concrete processes, runs into trouble with cases of 'misconnections', where an event which serves to prevent another fails to do so on a particular (...) occasion and yet the two events are linked by causal processes. The chance raising intuition, according to which causes raise the chance of their effects, easily accounts for misconnections but faces the problem of chance lowering causes, a problem easily accounted for by the process approach. The integrating program attempts to provide an analysis of singular causation by synthesising the two insights, so as to solve both problems. In this paper I show that extant versions of the integrating program due to Eells, Lewis, and Menzies fail to account for the chance-lowering counterexample. I offer a new diagnosis of the chance lowering case, and use that as a basis for an integrating account of causation which does solve both cases. In doing so, I accept various assumptions of the integrating program, in particular that there are no other problems with these two approaches. As an example of the process account, I focus on the recent CQ theory of Wesley Salmon (1997). (shrink)

In a recent paper (1994) Wesley Salmon has replied to criticisms (e.g., Dowe 1992c, Kitcher 1989) of his (1984) theory of causality, and has offered a revised theory which, he argues, is not open to those criticisms. The key change concerns the characterization of causal processes, where Salmon has traded "the capacity for mark transmission" for "the transmission of an invariant quantity." Salmon argues against the view presented in Dowe (1992c), namely that the concept of "possession of a conserved quantity" (...) is sufficient to account for the difference between causal and pseudo processes. Here that view is defended, and important questions are raised about the notion of transmission and about gerrymandered aggregates. (shrink)

This paper examines the Transference Theory of causation, developed originally by Aronson (1971) and Fair (1979). Three difficulties for that theory are presented: firstly, problems associated with the direction of transference and causal asymmetry; secondly, the case of persistence as causation, for example where a body's own inertia is the cause of its motion; and thirdly the problematic notion of identity through time of physical quantities such as energy or momentum. Finally, the theory is compared with the Conserved Quantity Theory (...) (Dowe 1992c), and it is shown that that account embodies the modifications that the transference theory needs to adopt. (shrink)

This paper examines Wesley Salmon's "process" theory of causality, arguing in particular that there are four areas of inadequacy. These are that the theory is circular, that it is too vague at a crucial point, that statistical forks do not serve their intended purpose, and that Salmon has not adequately demonstrated that the theory avoids Hume's strictures about "hidden powers". A new theory is suggested, based on "conserved quantities", which fulfills Salmon's broad objectives, and which avoids the problems discussed.

Wesley Salmon has developed a theory of causation which makes use of the concepts of a "causal process" and a "causal interaction." Roughly, a causal process is a process which transmits its own structure, and a causal interaction is an intersection of processes which transforms the character of these processes. The cause-effect relation is analyzed as a causal interaction followed by a causal process which terminates in a further causal interaction. In this paper I present a series of problem cases (...) which run "counter" to Salmon's account. (shrink)

Max Kistler’s first book, based on his Paris Ph.D. thesis, is an elaborate defence of a transference theory of causation. Such a theory conceives of causality as the transfer of a conserved quantity. A transference theory of causation is thus one form that a regularity account of causation, as opposed to a counterfactual account, might take. Kistler’s original contribution consists (a) in the way in which he develops an account of causation based on transference and (b) in relating a theory (...) of causation to a specific view of natural laws. Kistler first considers what a relation of causation is and thereby contrasts the transference theory with other explanations (Ch. 1). He then develops a view of natural laws (Ch. 2) and combines this view with his transference theory of causation (Chs. 3 & 4). The second part of the book focuses on causally efficacious properties. Kistler employs the notion of properties that are responsable for a relation of causation. The function of such properties in laws of causation is examined (Chs. 5 & 6). The last chapter discusses examples that are to show how this theory of causation works (Ch. 7). Kistler argues for a realistic view: there is causation in the world independently of whether and how people conceptualize causal relations. The relata of a causal relation are events. An event is the content of a continuous space–time region (which may be as small as being pointlike) (18, 64–68). Events are in space–time what objects are in space (196): An object has spatial parts, whereas an event has spatio–temporal parts. To give an example, a volcano has spatial parts such as a top, whereas an eruption of a volcano can be gentle and limited to its northern side first and then become violent and extending to all sides. There is a relation of causation between two events if and only if at least one conserved quantity is transferred between them (39–40, 100). That is to say: an event x has a certain value of a physical quantity, and that individual value is transferred to another event y.. (shrink)

Causation has traditionally been analyzed either as a relation of nomic dependence or as a relation of counterfactual dependence. I argue for a third program, a physicalistic reduction of the causal relation to one of energy-momentum transference in the technical sense of physics. This physicalistic analysis is argued to have the virtues of easily handling the standard counterexamples to the nomic and counterfactual analyses, offering a plausible epistemology for our knowledge of causes, and elucidating the nature of the relation between (...) causation and physical science. (shrink)

In contemporary literature, the fact that there is negative causation is the primary motivation for rejecting the physical connection view, and arguing for alternative accounts of causation. In this paper we insist that such a conclusion is too fast. We present two frameworks, which help the proponent of the physical connection view to resist the anti-connectionist conclusion. According to the first framework, there are positive causal claims, which co-refer with at least some negative causal claims. According to the second framework, (...) negative causal claims are generated from mapping and comparing different scenarios, which can fully be accounted for in purely positive terms. Since the positive causal claims evoked by both frameworks pose no obvious difficulties for the physical connection view, these frameworks make it possible for the connectionists to accommodate negative causal claims into their theory. Once these strategies are available, the connectionists become able to render all the arguments starting from the observation that there are negative causal claims in our causal discourse inconclusive with regard to the viability of the physical connection view. (shrink)

There is a widespread belief that the so-called process theories of causation developed by Wesley Salmon and Phil Dowe have given us an original account of what causation really is. In this paper, I show that this is a misconception. The notion of “causal process” does not offer us a new ontological account of causation. I make this argument by explicating the implicit ontological commitments in Salmon and Dowe’s theories. From this, it is clear that Salmon’s Mark Transmission Theory collapses (...) to a counterfactual theory of causation, while the Conserved Quantity Theory collapses to David Fair’s phsyicalist reduction of causation. (shrink)

This paper suggests an integration of Wesley Salmon's mechanistic theory of causality with a manipulative account of causation of the kind that has been recently defended by Huw Price and Peter Menzies. Firstly, Salmon's view of causality is outlined, and the main issues of the debate around it are recollected. Secondly, the manipulative view of causality is sketched and the possibility of its integration with Salmon's theory is considered for the purpose of coping with some of the problems raised by (...) its critics. (shrink)

I provide a theory of causation formulated within the causal modeling framework. This theory is model-invariant in the following sense: if the theory says that C caused (didn't cause) E in a causal model, M, then it will continue to say that C caused (didn't cause) E once we've removed an inessential variable from M. On this theory, we can understand causation as a model-invariant generalization of a relation of causal production. Begin by saying that C produces E iff they (...) are linked by an uninterrupted process propagating non-inertial states. Given this definition, whether we say that C produces E will depend upon whether we include or remove inessential variables lying along, or feeding into, the path from C to E. Weakening production so as to make the relation model-invariant delivers causation. (shrink)

Transference theorists propose to explain causation in terms of the transference of a physical element. I argue, in two steps, that this is not possible. First, I show that available accounts of ‘transference’ ultimately convey that transference -and, consequently, causation- is the (non-relational) identity over time of the transferred element (a universal, a trope, or even an absolute substance). But, second, I try to defend, it is conceptually impossible that causation is (non-relational) identity.

Transference theorists propose to explain causation in terms of the transference of a physical element. I argue, in two steps, that this is not possible. First, I show that available accounts of ‘transference’ ultimately convey that transference -and, consequently, causation- is the (non-relational) identity over time of the transferred element (a universal, a trope, or even an absolute substance). But, second, I try to defend, it is conceptually impossible that causation is (non-relational) identity.

An influential tradition in the philosophy of causation has it that all token causal facts are, or are reducible to, facts about difference-making. Challenges to this tradition have typically focused on pre-emption cases, in which a cause apparently fails to make a difference to its effect. However, a novel challenge to the difference-making approach has recently been issued by Alyssa Ney. Ney defends causal foundationalism, which she characterizes as the thesis that facts about difference-making depend upon facts about physical causation. (...) She takes this to imply that causation is not fundamentally a matter of difference-making. In this paper, I defend the difference-making approach against Ney’s argument. I also offer some positive reasons for thinking, pace Ney, that causation is fundamentally a matter of difference-making. (shrink)

Opening Remarks of the Chairman at “Wesley C. Salmon, 1925–2001”: A Symposium Honoring his Contributions to the Philosophy of Science.

This paper presents an attempt to integrate theories of causal processes—of the kind developed by Wesley Salmon and Phil Dowe—into a theory of causal models using Bayesian networks. We suggest that arcs in causal models must correspond to possible causal processes. Moreover, we suggest that when processes are rendered physically impossible by what occurs on distinct paths, the original model must be restricted by removing the relevant arc. These two techniques suffice to explain cases of late preëmption and other cases (...) that have proved problematic for causal models. (shrink)

The aim of this article is to analyze the main contributions of Wesley C. Salmon to the philosophy of science, that is, his concepts of causation, common cause, and theoretical explanation, and to provide a critique of them. This critique will be based on a comparison of Salmon’s concepts with categories developed by Hegel in his Science of Logic and which can be applied to issues treated by Salmon by means of the above given three concepts. It is the author’s (...) contention that by means of Hegelian categories it becomes possible to provide a critique of Salmon’s philosophy of science and at the same time to enlarge the concept framework of philosophy of science. (shrink)

The conserved quantity theory of causation aims to analyze causal processes and interactions in terms of conserved quantities. In order to be successful, the theory must correctly distinguish between causal processes and interactions, on the one hand, and pseudoprocesses and mere intersections on the other.Moreover, it must do this while satisfying two further criteria: it must avoid circularity; and the appeal to conserved quantities must not be redundant. I argue that the theory is not successful in meeting these criteria.