Diachronic causal constitutive relations

Mechanistic approaches are very common in the causal interpretation of biological and neuroscientific experimental work in today’s philosophy of science. In the mechanistic literature a strict distinction is often made between (intralevel) causal relations and (interlevel) constitutive relations, where the latter cannot be causal. One of the typical reasons for this strict distinction is that constitutive relations are supposedly synchronic whereas most if not all causal relations are diachronic. This strict distinction gives rise to a number of problems, however. Our end goal in this paper is to argue that it should be given up, at least in the context of the biological and the psychological sciences. To that effect, we argue that constitutive relations in this context are diachronic, thus undermining the aforementioned reason. We offer two cases from scientific practice in which constitutive relations are regarded as both diachronic and causally efficacious, review three existing ways of dealing with the apparent diachronic nature of interlevel relations in mechanisms and propose a new account of diachronic, causal constitutive relevance.

     

Mechanisms,Causes, and the Layered Model of the World

Most philosophical accounts of causation take causal relations to obtain between individuals and events in virtue of nomological relations between properties of these individuals and events. Such views fail to take into account the consequences of the fact that in general the properties of individuals and events will depend upon mechanisms that realize those properties. In this paper I attempt to rectify this failure, and in so doing to provide an account of the causal relevance of higher‐level properties. I do this by critiquing one prominent model of higher‐level properties—Kim’s functional model of reduction—and contrasting it with a mechanistic approach to higher‐level properties and causation.     

The power PC theory and causal powers: comment on Cheng (1997) and Novick and Cheng (2004)

It has been claimed that the power PC theory reconciles regularity and power theories of causal judgment by showing how contingency information is used for inferences about unobservable causal powers. Under the causal powers theory causal relations are understood as generative relations in which a causal power of one thing acts on a liability of another thing under some releasing condition. These 3 causal roles are implicit or explicit in all causal interpretations. The power PC theory therefore fails to reconcile power theories and regularity theories because it has a fundamentally different definition of power and does not accommodate the tripartite causal role distinction. Implications of this distinction are drawn out.     

How Dispositions can be Causally Relevant

The problem this paper deals with is the problem of how dispositional properties can have causal relevance. In particular, the paper is focused on the question of how dispositions can have causal relevance given that the categorial bases that realise them seem to be sufficient to bring about the effects that dispositions explain. I show first that this problem of exclusion has no general solution. Then, I discuss some particular cases in which dispositions are causally relevant, despite of this exclusion problem. My claim is that dispositions have causal relevance in selection or recruitment processes, when they are converted into teleological functions.     

Accounting for macro-level causation

By a macro-level feature, I understand any feature that supervenes on, and is thus realized in, lower-level features. Recent discussions by Kim have suggested that such features cannot be causally relevant insofar as they are not classically reducible to lower-level features. This seems to render macro-level features causally irrelevant. I defend the causal relevance of some such features. Such features have been thought causally relevant in many examples that have underpinned philosophical work on causality. Additionally, in certain typical biological cases, we conceive of causally relevant features at various compatible levels of analysis. When elaborated, these points make a strong prima facie case for macro-level causal relevance. However, we might abandon both the philosophical guideposts and the corresponding explanatory practice in the special sciences were we convinced that no reflective philosophical account could provide for the causal relevance there supposed. I show that such drastic measures are not necessary, for we can make sense of macro-level causal relevance by drawing on Paul Humphreys' recent work in ways suggested by the concrete examples considered here.Some of the work on this paper was undertaken at the 1991 NEH Summer Seminar on Causality, directed by Paul Humphreys. I wish to thank my fellow participants, and Paul Humphreys, John Tienson, and Terry Horgan for helpful comments on earlier drafts of this paper.     

Mechanisms without mechanistic explanation

Synthese - Some recent accounts of constitutive relevance have identified mechanism components with entities that are causal intermediaries between the input and output of a mechanism. I argue that...     

The Inherent Empirical Underdetermination of Mental Causation

It has become a popular view among non-reductive physicalists that it is possible to devise empirical tests generating evidence for the causal efficacy of the mental, whereby the exclusion worries that have haunted the position of non-reductive physicalism for decades can be dissolved once and for all. This paper aims to show that these evidentialist hopes are vain. I argue that, if the mental is taken to supervene non-reductively on the physical, there cannot exist empirical evidence for its causal efficacy. While causal structures without non-reductive supervenience relations can be conclusively identified in ideal discovery circumstances, it is impossible, in principle, to generate evidence that would favour models with mental causation over models without. Ascribing causal efficacy to the mental, for the non-reductive physicalist, is a modelling choice that must be made on the basis of metaphysical background theories or pragmatic maxims guiding the selection among empirically indistinguishable models.     

Causal relevance and Nonreductive physicalism

It has been argued that nonreductive physicalism leads to epiphenominalism about mental properties: the view that mental events cannot cause behavioral effects by virtue of their mental properties. Recently, attempts have been made to develop accounts of causal relevance for irreducible properties to show that mental properties need not be epiphenomenal. In this paper, I primarily discuss the account of Frank Jackson and Philip Pettit. I show how it can be developed to meet several obvious objections and to capture our intuitive conception of degrees of causal relevance. However, I argue that the account requires large-scale miraculous coincidence for there to be causally relevant mental properties. I also argue that the same problem arises for two apparently very different accounts of causal relevance. I suggest that this result does not show that these accounts, on appropriate readings, are false. Therefore, I tentatively conclude that we have reason to believe that irreducible mental properties are causally irrelevant. Moreover, given that there is at leastprima facie evidence that mental properties can be causally relevant, my conclusion casts doubt on nonreductive physicalist theories of mental properties.     

Manipulation is key: on why non-mechanistic explanations in the cognitive sciences also describe relations of manipulation and control

A popular view presents explanations in the cognitive sciences as causal or mechanistic and argues that an important feature of such explanations is that they allow us to manipulate and control the explanandum phenomena. Nonetheless, whether there can be explanations in the cognitive sciences that are neither causal nor mechanistic is still under debate. Another prominent view suggests that both causal and non-causal relations of counterfactual dependence can be explanatory, but this view is open to the criticism that it is not clear how to distinguish explanatory from non-explanatory relations. In this paper, I draw from both views and suggest that, in the cognitive sciences, relations of counterfactual dependence that allow manipulation and control can be explanatory even when they are neither causal nor mechanistic. Furthermore, the ability to allow manipulation can determine whether non-causal counterfactual dependence relations are explanatory. I present a preliminary framework for manipulation relations that includes some non-causal relations and use two examples from the cognitive sciences to show how this framework distinguishes between explanatory and non-explanatory, non-causal relations. The proposed framework suggests that, in the cognitive sciences, causal and non-causal relations have the same criterion for explanatory value, namely, whether or not they allow manipulation and control.     

Causal Exclusion and Causal Bayes Nets

In this paper I reconstruct and evaluate the validity of two versions of causal exclusion arguments within the theory of causal Bayes nets. I argue that supervenience relations formally behave like causal relations. If this is correct, then it turns out that both versions of the exclusion argument are valid when assuming the causal Markov condition and the causal minimality condition. I also investigate some consequences for the recent discussion of causal exclusion arguments in the light of an interventionist theory of causation such as Woodward's ( 2003 ) and discuss a possible objection to my causal Bayes net reconstruction.     

Causal discovery and the problem of psychological interventions

Finding causes is a central goal in psychological research. In this paper, I argue based on the interventionist approach to causal discovery that the search for psychological causes faces great obstacles. Psychological interventions are likely to be fat-handed: they change several variables simultaneously, and it is not known to what extent such interventions give leverage for causal inference. Moreover, due to problems of measurement, the degree to which an intervention was fat-handed, or more generally, what the intervention in fact did, is difficult to reliably estimate. A further complication is that the causal findings in psychology are typically made at the population level, and such findings do not allow inferences to individual-level causal relationships. I also discuss the implications of these problems for research, as well as various ways of addressing them, such as focusing more on the discovery of robust but non-causal patterns.     

Laws and Causal Relations

How are causal relations between particular states of affairs related to causal laws? There appear to be three main answers to this question, and the choice among those three alternatives would seem to be crucial for any account of causation. In spite of this fact, the question of which view is correct has been all but totally neglected in present-day discussions. Indeed, since the time of Hume, one answer has more or less dominated philosophical thinking about causation. In this paper I shall attempt to show that the view in question is exposed to decisive objections.     

DIS-UNIFIED PLURALIST ACCOUNTS OF CAUSATION

One way of assessing the philosophical literature on causation is to consider views on the nature of the causal relation. Early theorists were 'monists', taking there to be one causal relation. More recent theorists, however, have turned to pluralism, which holds that the causal relation is only accurately captured by two (or more) relations. I argue that one way of being a pluralist – the way which takes there to be exactly two types of causation – is self defeating, if it promises to handle intuitions about all causal situations. I illustrate the point via neuron diagrams.     

The Structure of Causal Evidence Based on Eliminative Induction

It is argued that in deterministic contexts evidence for causal relations states whether a boundary condition makes a difference or not to a phenomenon. In order to substantiate the analysis, I show that this difference/indifference making is the basic type of evidence required for eliminative induction in the tradition of Francis Bacon and John Stuart Mill. To this purpose, an account of eliminative induction is proposed with two distinguishing features: it includes a method to establish the causal irrelevance of boundary conditions by means of indifference making, which is called strict method of agreement, and it introduces the notion of a background against which causal statements are evaluated. Causal statements thus become three-place-relations postulating the relevance or irrelevance of a circumstance C to the examined phenomenon P with respect to a background B of further conditions. To underline the importance of evidence in terms of difference/indifference making, I sketch two areas, in which eliminative induction is extensively used in natural and engineering sciences. One concerns exploratory experiments, the other engineering design methods. Given that a method is discussed that has been used for centuries, I make no claims to novelty in this paper, but hope that the combined discussion of several topics that are still somewhat underrepresented in the philosophy of science literature is of some merit.     

ACTIONS,HABITS AND CONSTITUTION

In this paper I offer a critique of the view made popular by Davidson that rationalization is a species of causal explanation, and propose instead that in many cases the explanatory relation is constitutive. Given Davidson’s conception of rationalization, which allows that a huge range of states gathered under the heading ‘pro attitude’ could rationalize an action, I argue that whilst the causal thesis may have some merit for some such ‘attitudes’, it has none for others. The problematic ‘attitudes’ are those which can be attributed to the agent only on the basis of her history of doing a certain sort of thing. In other words, they are among the agent’s habits. I argue that such temporally extended states cannot be the causes of any present occurrence. Instead, I suggest we should think of the present action as partly constituting the state in question, and give a corresponding interpretation of the explanatory relation. Such explanations invite us to abandon a conception of agency narrowly based on psychology, in favour of an enriched one which takes an agent’s habits to partly constitute the agent.     

LUCK AND HISTORY-SENSITIVE COMPATIBILISM

Libertarianism seems vulnerable to a serious problem concerning present luck, because it requires indeterminism somewhere in the causal chain leading to directly free action. Compatibilism, in contrast, is thought to be free of this problem, as not requiring indeterminism in the causal chain. I argue that this view is false: compatibilism is subject to a problem of present luck. This is less of a problem for compatibilism than for libertarianism. However, its effects are just as devastating for one kind of compatibilism, the kind of compatibilism which is history-sensitive, and therefore must take the problem of constitutive luck seriously. The problem of present luck confronting compatibilism is sufficient to undermine the history-sensitive compatibilist's response to remote – constitutive – luck.     

On the causal role of privation in Thomas Aquinas's metaphysics

“Privation” (privatio) is defined by Thomas Aquinas as the want of some property in a subject that ought naturally to possess that property. In this paper, I explicate the ontological status of privation as a form of nonbeing in order to shed light on the challenging question whether privation, as a kind of absence, can play a causal role for Aquinas, and if so, how. According to Aquinas, I argue, privations in a subject serve to determine what sort of (efficient) causal relations that subject can enter into, but, as nonbeings, privations cannot be the cause of the subject's entering into those relations, and in this way, they cannot be efficient causes of effects distinct from the subject.     

Prototypes of the “natural” concepts discovery

In works of Eleanor Rosch “natural” concepts was introduced that reflect a high correlated structure of features of objects of the external world. Prototypes of the “natural” concepts are clearest cases of objects that reflect this highly correlated structure. The same high correlated structure manifested in the “natural” phenotypical classification. To formalize this highly correlated structure, we define a special type of probabilistic causal relations and then probabilistic formal concepts as a cyclically connected probabilistic causal relations. Based on these definitions, we developed a method of prototypes discovery and illustrate it on the example of digits’ prototypes discovery.