Negative causation in causal and mechanistic explanation

Instances of negative causation—preventions, omissions, and the like—have long created philosophical worries. In this paper, I argue that concerns about negative causation can be addressed in the context of causal explanation generally, and mechanistic explanation specifically. The gravest concern about negative causation is that it exacerbates the problem of causal promiscuity—that is, the problem that arises when a particular account of causation identifies too many causes for a particular effect. In the explanatory context, the problem of promiscuity can be solved by characterizing the phenomenon to be explained as a contrast between two or more events or non-events. This contrastive strategy also can solve other problems that negative causation presents for the leading accounts of mechanistic explanation. Along the way, I argue that to be effective, accounts of causal explanation must incorporate negative causation. I also develop a taxonomy of negative causation and incorporate each variety of negative causation into the leading accounts of mechanistic explanation.     

A mechanistic perspective on canonical neural computation

Although it has been argued that mechanistic explanation is compatible with abstraction (i.e., that there are abstract mechanistic models), there are still doubts about whether mechanism can account for the explanatory power of significant abstract models in computational neuroscience. Chirimuuta has recently claimed that models describing canonical neural computations (CNCs) must be evaluated using a non-mechanistic framework. I defend two claims regarding these models. First, I argue that their prevailing neurocognitive interpretation is mechanistic. Additionally, a criterion recently proposed by Levy and Bechtel to legitimize mechanistic abstract models, and also a criterion proposed by Chirimuuta herself aimed to distinguish between causal and non-causal explanation, can be employed to show why these models are explanatory only under this interpretation (as opposed to a purely mathematical or non-causal interpretation). Second, I argue that mechanism is able to account for the special epistemic achievement implied by CNC models. Canonical neural components contribute to an integrated understanding of different cognitive functions. They make it possible for us to explain these functions by describing different mechanisms constituted by common basic components arranged in different ways.     

Interventionism and Higher-level Causation

Several authors have recently claimed that the notorious causal exclusion problem, according to which higher-level causes are threatened with causal pre-emption by lower-level causes, can be avoided if causal relevance is understood in terms of Woodward's interventionist account of causation. They argue that if causal relevance is defined in interventionist terms, there are cases where only higher-level properties, but not the lower-level properties underlying them, qualify as causes of a certain effect. In this article, I show that the line of reasoning supposed to establish this claim does not succeed and that interventionism is not better capable of dealing with higher-level causal claims than other accounts of causation. According to Woodward, higher-level causal claims are nonetheless more adequate than lower-level ones if they describe a realization-independent dependency relationship and, hence, meet the requirement that causes should be proportional to their effects. I argue, however, that combining interventionism with proportionality considerations raises difficulties and that, therefore, Woodward's account does not vindicate higher-level causation.     

Proportionality,Contrast and Explanation

If counterfactual dependence is sufficient for causation and if omissions can be causes, then all events have many more causes than common sense tends to recognize. This problem is standardly addressed by appeal to pragmatics. However, Carolina Sartorio [2010] has recently raised what I shall argue is a more interesting problem concerning omissions for counterfactual theories of causation—more interesting because it demands a more subtle pragmatic solution. I discuss the relationship between the idea that causes are proportional to their effects, the idea that causation is contrastive, and the question of the dimensions along which causal explanations should be evaluated with respect to one another.     

Agent causation as a solution to the problem of action

My primary aim is to defend a nonreductive solution to the problem of action. I argue that when you are performing an overt bodily action, you are playing an irreducible causal role in bringing about, sustaining, and controlling the movements of your body, a causal role best understood as an instance of agent causation. Thus, the solution that I defend employs a notion of agent causation, though emphatically not in defence of an account of free will, as most theories of agent causation are. Rather, I argue that the notion of agent causation introduced here best explains how it is that you are making your body move during an action, thereby providing a satisfactory solution to the problem of action.     

Causal Exclusion and Causal Autonomism

The causal exclusion problem is often considered as one of the major difficulties for which non-reductive physicalists have no easy solution to offer. Some non-reductive physicalists address this problem by arguing that mental properties are to some extent causally autonomous. If this is the case, then mental properties will not be causally excluded by their physical realizers because causation, in general, is a relation between properties of the same level. In this paper, I argue that the response from causal autonomy cannot be successful for two reasons. First, it does not offer a satisfactory explanation for how mental particulars can have causal efficacy in a non-reductive physicalist framework. Second, the causal considerations underpinning this response do not really support the conclusion that mental properties are causally autonomous.     

Mental Causation: Unnaturalized but not Unnatural

The central problem for a realist about mental causation is to show that mental causation is compatible with the causal completeness of physical systems. This problem has seemed intractable in large part because of a widely held view that any sort of systematic overdetermination of events by their causes is unacceptable. I account for the popularity of this view, but argue that we ought to reject it. In doing so. I show how we thereby undermine the idea that mental causes must be naturalizable in order to be legitimate. Thus I argue that a non-naturalist conception of mental causation is compatible with a plausible kind of physicalism.     

Absences as Latent Potentialities

Absences, i.e., agential omissions and forbearances, but also ‘natural’ negative states and events beyond the sphere of human agency, seem to be part and parcel of the real world. Yet, it is exactly the putative reality of absences that strikes many philosophers as utterly mysterious, if not entirely unintelligible. As a promising approach towards solving the problem of real absences, I wish to explore the idea that absences are latent potentialities. To this end, I shall investigate what potentialities are, what kinds of potentiality exist, and what it means for a potentiality to remain latent. I will also discuss whether the framework of latent potentiality is able to meet the extensional constraints imposed on the theory of absences by our intuitions about the reach of negative acts and events, i.e., whether latent potentialities can account for all real absences.     

A probabilistic theory of second order causation

Larry Wright and others have advanced causal accounts of functional explanation, designed to alleviate fears about the legitimacy of such explanations. These analyses take functional explanations to describe second order causal relations. These second order relations are conceptually puzzling. I present an account of second order causation from within the framework of Eells' probabilistic theory of causation; the account makes use of the population-relativity of causation that is built into this theory.     

The Logic of Causal Explanation An Axiomatization

Three-valued (strong-Kleene) modal logic provides the foundation for a new approach to formalizing causal explanation as a relation between partial situations. The approach makes fine-grained distinctions between aspects of events, even between aspects that are equivalent in classical logic. The framework can accommodate a variety of ontologies concerning the relata of causal explanation. I argue, however, for a tripartite ontology of objects corresponding to sentential nominals: facts, tropes (or facta or states of affairs), and situations (or events). I axiomatize the relations and use canonical models to demonstrate completeness.     

There must be a First: Why Thomas Aquinas Rejects Infinite,Essentially Ordered,Causal Series

Several of Thomas Aquinas's proofs for the existence of God rely on the claim that causal series cannot proceed in infinitum. I argue that Aquinas has good reason to hold this claim given his conception of causation. Because he holds that effects are ontologically dependent on their causes, he holds that the relevant causal series are wholly derivative: the later members of such series serve as causes only insofar as they have been caused by and are effects of the earlier members. Because the intermediate causes in such series possess causal powers only by deriving them from all the preceding causes, they need a first and non-derivative cause to serve as the source of their causal powers.     

Contiguity and the causal theory of memory

In Memory: A Philosophical Study, Bernecker argues for an account of contiguity. This Contiguity View is meant to solve relearning and prompting, wayward causation problems plaguing the causal theory of memory. I argue that Bernecker’s Contiguity View fails in this task. Contiguity is too weak to prevent relearning and too strong to allow prompting. These failures illustrate a problem inherent in accounts of memory causation. Relearning and prompting are both causal relations, wayward only with respect to our interest in specifying remembering’s requirements. Solving them requires saying more about remembering, not causation. I conclude by sketching such an account.     

A generalized probabilistic theory of causal relevance

I advance a new theory of causal relevance, according to which causal claims convey information about conditional probability functions. This theory is motivated by the problem of disjunctive factors, which haunts existing probabilistic theories of causation. After some introductory remarks, I present in Section 3 a sketch of Eells's (1991) probabilistic theory of causation, which provides the framework for much of the discussion. Section 4 explains how the problem of disjunctive factors arises within this framework. After rejecting three proposed solutions, I offer in Section 6 a new approach to causation that avoids the problem. Decision-theoretic considerations also support the new approach. Section 8 develops the consequences of the new theory for causal explanation. The resulting theory of causal explanation incorporates the new insights while respecting important work on scientific explanation by Salmon (1971), Railton (1981), and Humphreys (1989). My conclusions are enumerated in Section 9.I would like to thank Nuel Belnap, John Earman, Richard Gale, Paul Humphreys, Satish Iyengar, Wes Salmon, and two anonymous referees for comments and discussion. I am also indebted to the members of an audience at the Center for Philosophy of Science at the University of Pittsburgh, where some of the ideas contained in this paper were presented.     

Mental Causation and Searle’s Impossible Conception of Unconscious Intentionality

In my article I evaluate Searle’s account of mental causation, in particular his account of the causal efficacy of unconscious intentional states. I argue that top-down causation and overdetermination are unsolved problems in Searle’s philosophy of mind, despite his assurances to the contrary. I also argue that there are conflicting claims involved in his account of mental causation and his account of the unconscious. As a result, it becomes impossible to understand how unconscious intentional states can be causally efficacious. My conclusion will be that if Searle’s conception of unconscious intentionality is to play a genuine role in the causal explanation of human action, it needs to be rethought.     

The World as Representation: Schopenhauer's Arguments for Transcendental Idealism

In this paper, I discuss Spinoza's conception of the cosmological argument for the existence of God (hereafter CA), as it can be reconstructed taking departure from Letter 12. By a CA, I understand, quite broadly, an argument which infers a posteriori the existence of a necessary being, usually identified as God, from the experience that there exists some other being, often oneself, the existence of which is contingent upon the existence of this necessary being. The difference between various versions of the CA stems from differences in the way in which the relation of existential dependence is understood. The aim of this paper is to reconstruct a version of the CA which would be valid on Spinoza's principles. I argue that such a version must be understood in the context of Spinoza's causal rationalism. By such causal rationalism, I mean a doctrine committed to the idea that everything is rational and thus explicable and that causal explanations are somehow fundamental. Moreover, I hold that, in Spinoza's causal rationalism, there is one form of causation through which all other types of causation are ultimately understood. This ‘archetype’ of causation is self-causation.     

Activity-Based Accounts of Mechanism and the Threat of Polygenic Effects

Accounts of ontic explanation have often been devised so as to provide an understanding of mechanism and of causation. Ontic accounts differ quite radically in their ontologies, and one of the latest additions to this tradition proposed by Peter Machamer, Lindley Darden and Carl Craver reintroduces the concept of activity. In this paper I ask whether this influential and activity-based account of mechanisms is viable as an ontic account. I focus on polygenic scenarios—scenarios in which the causal truths depend on more than one cause. The importance of polygenic causation was noticed early on by Mill (1893). It has since been shown to be a problem for both causal-law approaches to causation (Cartwright 1983) and accounts of causation cast in terms of capacities (Dupré 1993; Glennan 1997, pp. 605–626). However, whereas mechanistic accounts seem to be attractive precisely because they promise to handle complicated causal scenarios, polygenic causation needs to be examined more thoroughly in the emerging literature on activity-based mechanisms. The activity-based account proposed in Machamer et al. (2000, pp. 1–25) is problematic as an ontic account, I will argue. It seems necessary to ask, of any ontic account, how well it performs in causal situations where—at the explanandum level of mechanism—no activity occurs. In addition, it should be asked how well the activity-based account performs in situations where there are too few activities around to match the polygenic causal origin of the explanandum. The first situation presents an explanandum-problem and the second situation presents an explanans-problem—I will argue—both of which threaten activity-based frameworks.     

Presentism And Absence Causation: An Exercise In Mimicry

If presentism is true, then no wholly non-present events exist. If absence orthodoxy is true, then no absences exist. I discuss a well-known causal argument against presentism, and develop a very similar argument against absence orthodoxy. I argue that solutions to the argument against absence orthodoxy can be adopted by the presentist as solutions to the argument against presentism. The upshot is that if the argument against absence orthodoxy fails, then so does the argument against presentism.     

Agent-causation and agential control

According to what I call the reductive standard-causal theory of agency, the exercise of an agent's power to act can be reduced to the causal efficacy of agent-involving mental states and events. According to a non-reductive agent-causal theory, an agent's power to act is irreducible and primitive. Agent-causal theories have been dismissed on the ground that they presuppose a very contentious notion of causation, namely substance-causation. In this paper I will assume, with the proponents of the agent-causal approach, that substance-causation is possible, as I will argue against that theory on the ground that it fails as a theory of agency. I will argue that the non-reductive agent-causal theory fails to account for agency, because it fails to account for agential control: it cannot explain why the stipulated irreducible relation between the agent and an action constitutes the agent's exercise of control over the action. This objection, I will argue, applies to the agent-causal theory in particular, and to the non-reductive approach in general.     

Causal concepts and temporal ordering

Though common sense says that causes must temporally precede their effects, the hugely influential interventionist account of causation makes no reference to temporal precedence. Does common sense lead us astray? In this paper, I evaluate the power of the commonsense assumption from within the interventionist approach to causal modeling. I first argue that if causes temporally precede their effects, then one need not consider the outcomes of interventions in order to infer causal relevance, and that one can instead use temporal and probabilistic information to infer exactly when X is causally relevant to Y in each of the senses captured by Woodward’s interventionist treatment. Then, I consider the upshot of these findings for causal decision theory, and argue that the commonsense assumption is especially powerful when an agent seeks to determine whether so-called “dominance reasoning” is applicable.