In her paper entitled "Causal Laws and Effective Strategies" (1979), Cartwright sets out to establish the connection between laws of association and causal laws. In part Cartwright is trying to show the sense in which a cause increases the probability of its effect, and to explain what causal laws assert by giving an account of how causal laws are related to certain kinds of statistical laws. In section II we explicate (...) the essential features of Cartwright's for- mulation and in section III we argue that there are several reasons for believing that Cartwright's formulation is inadequate and must be rejected. Nonetheless, we believe Cartwright's formulation does contain two key insights into the nature of causation. In section IV we use these two insights to sketch out the key features of an alternative formulation that holds the certain laws of association are necessary conditions for causal laws. The alternative formu- lation, we believe, explains what it means to say a cause increases the probability of its effect. (shrink)

Knowledge of causal laws is expensive and hard to come by. But we work hard to get it because we believe that it will reduce contingency in planning policies and in building new technologies: knowledge of causal laws allows us to predict reliably what the outcomes will be when we manipulate the factors cited as causes in those laws. Or do they? This paper will argue that causal laws have no special role here. (...) As economists from JS Mill to Robert Lucas and David Hendry stress, along recently with philosophers like James Woodward and Sandra Mitchell, they can do the job only if they are invariant under the manipulations proposed. But then, I shall argue, anything that is invariant under the proposed manipulations will do this job equally well. There seems to be nothing special about causal-law knowledge in and of itself that makes it particularly valuable for policy and technology prediction. What seems to matter is invariance alone, not causality. But what guarantees invariance and how do we know when it will obtain? Here certain kinds of causal laws do have a special place – those underwritten either by what I have called ‘nomological machines’ or by what I have called ‘capacities’. Capacities and nomological machines have a double virtue that makes them invaluable for policy planning. First, the causal laws they give rise to will be invariant so long as they obtain; and second, they typically have visible markers we can come to recognize that tell us when they obtain. The markers for nomological machines are shakier than those for capacities, though, since capacities are often tied to markers by well-established empirical laws. Capacities have their own drawback however, which is the final topic of this paper: the causal laws that are guaranteed by a capacity connect the obtaining of a capacity with its exercise. But Hume argued that no distinction can be made between the obtaining of a power and its exercise. (shrink)

Knowledge of causal laws is expensive and hard to come by. But we work hard to get it because we believe that it will reduce contingency in planning policies and in building new technologies: knowledge of causal laws allows us to predict reliably what the outcomes will be when we manipulate the factors cited as causes in those laws. Or do they? This paper will argue that causal laws have no special role here. (...) As economists from JS Mill to Robert Lucas and David Hendry stress, along recently with philosophers like James Woodward and Sandra Mitchell, they can do the job only if they are invariant under the manipulations proposed. But then, I shall argue, anything that is invariant under the proposed manipulations will do this job equally well. There seems to be nothing special about causal-law knowledge in and of itself that makes it particularly valuable for policy and technology prediction. What seems to matter is invariance alone, not causality. But what guarantees invariance and how do we know when it will obtain? Here certain kinds of causal laws do have a special place – those underwritten either by what I have called ‘nomological machines’ or by what I have called ‘capacities’. Capacities and nomological machines have a double virtue that makes them invaluable for policy planning. First, the causal laws they give rise to will be invariant so long as they obtain; and second, they typically have visible markers we can come to recognize that tell us when they obtain. The markers for nomological machines are shakier than those for capacities, though, since capacities are often tied to markers by well-established empirical laws. Capacities have their own drawback however, which is the final topic of this paper: the causal laws that are guaranteed by a capacity connect the obtaining (or triggering) of a capacity with its exercise. But Hume argued (mistakenly I suggest) that no distinction can be made between the obtaining of a power and its exercise. (shrink)

In this paper it will be argued that causal laws describe the actions of causal powers. The process which results from such an action is one which belongs to a natural kind, the essence of which is that it is a display of this causal power. Therefore, if anything has a given causal power necessarily, it must be naturally disposed to act in the manner prescribed by the causal law describing the action of this (...) causal power. In the formal expressions of causal laws, the necessity operators occur within the scopes of the universal quantifiers. Hence the necessities must hold of each instance. The causal laws may thus be shown to be concerned with necessary connections between events or circumstances of precisely the sort required for a decent account of singular causation. (shrink)

Peter Alexander: It is presumably admitted that laws, whether causal or not, are universal in form; they are appropriately stated in universal categoricals or unrestricted hypotheticals. I assume that this is not at issue in the question set. I take our question to be this: given that causal laws are universal statements, can they be said to be about, to apply to, to hold for, individual things? -/- Peter Downing: Mr. Alexander maintains that there are 'irreducibly (...) singular' causal statements, and that from this it follows that causal laws need not be purely general. The view that there are irreducibly singular causal statements appears to commit Alexander to rejecting two theses: (i) that singular causal statements are analysable into statements containing specific generalizations, [...] (ii) That singular causal statements are analysable into statements containing incompletely specified generalizations [...]. Thesis (i) is, I think, clearly false. [...] Thesis (ii), however, is not easily refuted. (shrink)

Contrasting accounts of physicalism and strong emergentism face two problems. According to the neutrality problem, contrasting supervenience-based formulations of these positions cannot be neutral with respect to certain unrelated metaphysical commitments. According to the collapse problem, emergent properties can be accounted for using an appropriately expansive physical ontology, rendering strong emergentism metaphysically suspect. I argue that both these problems can be solved with a principled distinction between emergent causal laws and physical laws. I propose such a distinction (...) based on a finite discontinuity in the behavior of fundamental physical constituents as a function of complexity. (shrink)

It has been nearly a decade and a half since Fred Dretske, David Armstrong and Michael Tooley, having each rejected the Regularity theory, independently proposed that natural laws are grounded in a second-order relation that somehow binds together universals.' (l shall call this the ‘DTA theory’). In this way they sought to overcome the major - and notorious — shortcomings of every version of the Regularity theory: how to provide truth conditions for laws that lack instances; how to (...) distinguish laws from accidental generalizations; how to provide truth conditions for the counterfactuals and disposition statements that laws apparently ‘support’; how to justify inductive inferences from past events to laws and future events. For each of these puzzles, an apparently key element in the solution seems to be missing from Regularity theories. That missing element is a genuine connection, a relation with more than merely spatial and/or temporal content, linking the antecedent of a law to its consequent. Once such an additional objective element - however understood — is admitted to be essential to the analysis of laws, one is forced to give up the idea that the logical form of laws can be given in terms of quantifiers ranging over events or states of alfairs, and truth-functions. (shrink)

Bertrand Russell once pointed out that modern science doesn’t deal with causal laws and that assuming otherwise is not only wrong but such thinking is erroneously thought to do no harm. However, looking into the scientific practice of simulation or experimentation reveals a general causal comprehension of physical processes. In this paper I trace causal experiences to the existence of innate causal capacity by which we organize sensory information. This capacity, I argue, is something we (...) have got in virtue of natural selection as can be seen from experiments with intelligent animals like crows and chimpanzees. So understanding the empirical world is impossible without the use of causal categories. The reason why Russell believed that modern science does not refer to causal laws is, I think, because he argued that the laws of mathematical physics give us a non-causal description of reality. In contrast to such a claim I hold that theoretical laws are prescriptive rules of description rather than descriptions themselves. (shrink)

Knowledge of causal laws is expensive and hard to come by. But we work hard to get it because we believe that it will reduce contingency in planning policies and in building new technologies: knowledge of causal laws allows us to predict reliably what the outcomes will be when we manipulate the factors cited as causes in those laws. Or do they? This paper will argue that causal laws have no special role here. (...) As economists from JS Mill to Robert Lucas and David Hendry stress, along recently with philosophers like James Woodward and Sandra Mitchell, they can do the job only if they are invariant under the manipulations proposed. But then, I shall argue, anything that is invariant under the proposed manipulations will do this job equally well. There seems to be nothing special about causal-law knowledge in and of itself that makes it particularly valuable for policy and technology prediction. What seems to matter is invariance alone, not causality. But what guarantees invariance and how do we know when it will obtain? Here certain kinds of causal laws do have a special place – those underwritten either by what I have called ‘nomological machines’ or by what I have called ‘capacities’. Capacities and nomological machines have a double virtue that makes them invaluable for policy planning. First, the causal laws they give rise to will be invariant so long as they obtain; and second, they typically have visible markers we can come to recognize that tell us when they obtain. The markers for nomological machines are shakier than those for capacities, though, since capacities are often tied to markers by well-established empirical laws. Capacities have their own drawback however, which is the final topic of this paper: the causal laws that are guaranteed by a capacity connect the obtaining (or triggering) of a capacity with its exercise. But Hume argued (mistakenly I suggest) that no distinction can be made between the obtaining of a power and its exercise. (shrink)

Argues for the irreducibility of causal laws to laws of association, probabilistic or deterministic. Statistical or probabilistic analyses of causality, which typically require that the cause increase or alter the probability of the effect, cannot succeed because causes increase the probability of their effects only in situations that exhibit causal homogeneity with respect to that effect. This condition must enter the definition of an effective strategy, which is why causal laws are ineliminable for scientifically (...) grounded interventions in nature. (shrink)

La autora presenta algunas criticas generales al proyecto de reducir las leyes causales a probabilidades. Además, muestra que las leyes causales son imprescindibles para poder diferenciar las strategias efectivas de las que no lo son y da un criterio para considerar cuando podemos deducir causalidad a través de datos estadísticos.

In this paper it will be argued that causal laws describe the actions of causal powers. The process which results from such an action is one which belongs to a natural kind, the essence of which is that it is a display of this causal power. Therefore, if anything has a given causal power necessarily, it must be naturally disposed to act in the manner prescribed by the causal law describing the action of this (...) causal power. In the formal expressions of causal laws, the necessity operators occur within the scopes of the universal quantifiers. Hence the necessities must hold of each instance. The causal laws may thus be shown to be concerned with necessary connections between events or circumstances of precisely the sort required for a decent account of singular causation. (shrink)

Although maxims are central to Kant’s ethical theory, his account of them remains obscure. We can make progress towards understanding Kantian maxims by examining not only their role as the object of moral judgement but also their connection to freedom of the will and causality. This requires understanding maxims as causal laws that explain the actions that we impute to agents. In this way, they are analogous to causal laws of nature, but they are limited in (...) scope to the agents who are responsible for them. Understanding maxims in this way explains our limited epistemic access to them and helps to clarify Kant’s account of virtue and character as well as how they mediate the relationship between practical and theoretical reason. (shrink)

Knowledge of causal laws is expensive and hard to come by. But we work hard to get it because we believe that it will reduce contingency in planning policies and in building new technologies: knowledge of causal laws allows us to predict reliably what the outcomes will be when we manipulate the factors cited as causes in those laws. Or do they? This paper will argue that causal laws have no special role here. (...) As economists from JS Mill to Robert Lucas and David Hendry stress, along recently with philosophers like James Woodward and Sandra Mitchell, they can do the job only if they are invariant under the manipulations proposed. But then, I shall argue, anything that is invariant under the proposed manipulations will do this job equally well. There seems to be nothing special about causal-law knowledge in and of itself that makes it particularly valuable for policy and technology prediction. What seems to matter is invariance alone, not causality. But what guarantees invariance and how do we know when it will obtain? Here certain kinds of causal laws do have a special place – those underwritten either by what I have called ‘nomological machines’ or by what I have called ‘capacities’. Capacities and nomological machines have a double virtue that makes them invaluable for policy planning. First, the causal laws they give rise to will be invariant so long as they obtain; and second, they typically have visible markers we can come to recognize that tell us when they obtain. The markers for nomological machines are shakier than those for capacities, though, since capacities are often tied to markers by well-established empirical laws. Capacities have their own drawback however, which is the final topic of this paper: the causal laws that are guaranteed by a capacity connect the obtaining (or triggering) of a capacity with its exercise. But Hume argued (mistakenly I suggest) that no distinction can be made between the obtaining of a power and its exercise. (shrink)

And this paper is an attempt to say precisely how, thus addressing a philosophical problem which is commonly taken to be a serious one. It does so, however, in quite an idiosyncratic way. It is based on the account of inductive schemes I have given in (1988) and (1990a) and on the conception of causation I have presented in (1980), (1983), and (1990b), and it intends to fill one of many gaps which have been left by these papers. Still, I (...) have tried to make this paper self-contained. Section 1 explains the philosophical question this paper is about; in more general terms it asks what might be meant by objectifying epistemic states or features of them and to which extent epistemic states can be objectified. The next sections introduce the basis I rely on with formal precision and some explanation; section 2 deals with induction and section 3 with causation. Within these confines, section 4 attempts to give an explication of the relevant sense of objectification and section 5 investigates the extent to which various features of epistemic states are objectifiable. The two most salient results are roughly that the relation "A is a reason for B" cannot be objectified at all and that the relation "A is a cause of B" can be objectified only under substantial, though reasonable restrictions. What has all of this to do with probability? A lot. The paper trades on a pervasive duality between probabilistic and deterministic epistemology, between a probabilistic representation of epistemic states together with a theory of probabilistic causation and another representation of epistemic states which I call deterministic because it lends itself, in a perfectly parallel fashion, to a theory of deterministic causation. Here I explicitly deal only with the deterministic side, but the duality should pave the way for further conclusions concerning objective probabilities and statistical laws. This outlook is briefly expanded in the final section 6. (shrink)

Sober and Elgin defend the claim that there are a priori causal laws in biology. Lange and Rosenberg take issue with this on Humean grounds, among others. I will argue that Sober and Elgin don’t go far enough – there are a priori causal laws in many sciences. Furthermore, I will argue that this thesis is compatible with a Humean metaphysics and an empiricist epistemology.

For Kant, the moral law is the causal law of freedom. However, it is not an explanatory causal law. It is instead a causal law of imputation: it is a law according to which we can be held responsible for the actions the law declares necessary; that is, it is a law according to which we can be considered the causes of whether or not we act lawfully. In this way, the moral law makes possible a kind (...) of causality that is a “third thing” between natural necessity and blind chance. This essay traces the origins of this view to the Antinomy of Pure Reason of the first Critique and shows how it is refined in Kant’s foundational texts in practical philosophy of the 1780s and in his reflections on the nature of human evil from the 1790s. (shrink)

The paper argues against the widely accepted assumption that the causal laws of (completed) physics, in contrast to those of the special sciences, are essentially strict. This claim played an important role already in debates about the anomalousness of the mental, and it currently experiences a renaissance in various discussions about mental causation, projectability of special science laws, and the nature of physical laws. By illustrating the distinction with some paradigmatic physical laws, the paper demonstrates (...) that only law schemata are strict whereas causal laws are generally non-strict. Several potential replies to this argument are discussed and rejected as unsound. (shrink)

Much recent work on Kant's argument that the Categorical Imperative is the fundamental principle of morality has focused on the gap in that argument between the conclusion that rational agents conform to laws that apply to every rational agent, and the requirement contained in the Universal Law of Nature formula.1 While it seems plausible – even trivial– that a rational agent, insofar as she is a rational agent, conforms to whatever laws there are that are valid for all (...) rational agents, there does not appear to be any obvious route from this seemingly trivial claim to the controversial and substantive principle of acting only on maxims that one can at the same time rationally will every rational agent to act on.2 In what follows, I argue that the connection between rational agency and mere conformity to universally valid laws is not as trivial as it may seem. Many readers, I suspect, assume that Kant makes the trivial claim about rational agency because rational agency is rational, and being rational requires conforming to those laws that apply to all rational beings. For instance, this assumption is implicit in Onora O'Neill claim that "the interest of a Kantian universality test is that it aims to ground an ethical theory on notions of consistency and rationality rather than upon considerations of desire and preference."3 But, as I contend in what follows, the requirement to conform to laws valid for all rational agents is based on the fact that rational agency is, not rational, but agency. Indeed, the arguments leading to the first formulation of the Categorical Imperative rely on the idea of rational willing as a kind of causation in order to show this. And, as it turns out, the claim that the concept of causation contains the idea of conformity to universally valid laws is not a trivial claim. (shrink)

Many have found attractive views according to which the veracity of specific causal judgements is underwritten by general causal laws. This paper describes various variants of that view and explores complications that appear when one looks at a certain simple type of example from physics. To capture certain causal dependencies, physics is driven to look at equations which, I argue, are not causal laws. One place where physics is forced to look at such equations (...) (and not the only place) is in its handling of Green's functions which reveal point-wise causal dependencies. Thus, I claim that there is no simple relationship between causal dependence and causal laws of the sort often pictured. Rather, this paper explores the complexity of the relationship in a certain well-understood case. (shrink)

Assume that, even with a time machine, Tim does not have the ability to travel to the past and kill Grandfather. Why would that be? And what are the implications for traditional debates about freedom? We argue that there are at least two satisfactory explanations for why Tim cannot kill Grandfather. First, if an agent’s behavior at time _t_ is causally dependent on fact _F_, then the agent cannot perform an action (at _t_) that would require _F_ to have not (...) obtained. Second, if an agent’s behavior at time _t_ is causally dependent on fact _F_, then the agent cannot perform an action (at _t_) that would prevent _F_ from obtaining. These two explanations have distinct upshots for more traditional debates over freedom. The first implies that causal determinism is incompatible with the ability to do otherwise and also raises questions about the traditional arguments for the incompatibility of divine foreknowledge and the ability to do otherwise; the second does neither. However, both explanations imply that the Molinist account of divine providence renders agents unable to do otherwise, at least in certain circumstances. (shrink)

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. (...) This is the view that causal relations between events/states of affairs logically supervene upon causal laws plus non-causal states of affairs. In this paper, I shall attempt to show that the view in question is exposed to decisive objections,. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Journal of the History of Philosophy 39.3 (2001) 351-383 [Access article in PDF] Hume's Pyrrhonian Skepticism and the Belief in Causal Laws Graciela De Pierris Hume endorses in no uncertain terms the normative use of causal reasoning. The most striking example of this commitment is Hume's argument in the Enquiry against the possibility of miracles. The argument sanctions, in particular, the use of scientific reflection on (...) uniform experience issuing in causal laws of nature (E 114): "A miracle is a violation of the laws of nature; and as a firm and unalterable experience has established these laws, the proof against a miracle, from the very nature of the fact, is as entire as any argument from experience can possibly be imagined." 1 These words should give us pause; for how can Hume so confidently say, after his skeptical conclusions concerning our causal beliefs, that "a firm and unalterable experience has established" the laws of nature, and that we can therefore produce "proofs" against miracles? The Treatise gives rise to the same puzzle. In this text, too, Hume confidently prescribes methodical reflection based on causal reasoning. For example, in Book One, Part Three, Section Fifteen, Hume offers eight "Rules by which to judge of causes and effects." These rules are more than descriptions of our natural causal inferences. They are meant to guide us in making better causal inferences; in Hume's words they "ought to regulate" our probable reasoning since (T 149): "by them we learn to distinguish the accidental circumstances from the efficacious causes." 2Moreover, Hume consistently takes Newtonian science as a model for the proper employment of causal inferences in inquiries into matters of fact and, [End Page 351] in particular, as a model to be followed in his own science of human nature. 3 This paradigm of what the science of nature ought to be is understood by Hume as an inductive, experimental inquiry. 4 In the Enquiry, for example, Hume uses the label "sciences" for "politics, natural philosophy, physic, chemistry, &c." and in the preceding discussion argues that these sciences are not a priori but are based on causal reasoning (E 164-165). Thus, there are for Hume inquiries into matters of fact and existence that amount to more than blindly following natural propensities and habit. The sciences and many of our causal inferences in common life involve more than mere belief as a sentiment. They involve, in addition, careful reflection that results in improved causal inferences and thus provides normative standards. Yet, in thus upholding the normative use of causal reasoning in science and in everyday life, Hume appears to contradict his own radical skeptical conclusions concerning our knowledge of causation and induction. I here propose a novel way to resolve this puzzle.To acknowledge the existence of a puzzle, however, amounts to accepting the now controversial view that Hume provides, and takes at face value, a radical skeptical argument concerning our knowledge of causation and induction. 5 Moreover, the attempt to resolve this puzzle involves rejecting the suggestion [End Page 352] that Hume, without awareness or concern, happily holds flatly inconsistent views. 6 It also goes against the more sophisticated suggestion that Hume lightly alternates among different psychological moods, or perhaps different perspectives, which might eventually issue in results that contradict each other but are sufficiently localized so as to prevent serious conflict. Such a view might lead us to conceive Hume's texts as an unstructured and arbitrary patchwork of reflections, driven by different psychological moods or by the embellishments of a radiant literary style. This kind of reading is unacceptable as an interpretative tool, however, as H. J. Paton has acutely noted in his criticism of the patchwork interpretation of Kant's Critique of Pure Reason. 7 For such a reading would place no constraints at all on the task of establishing which parts of Hume's text belong to which moods or perspectives. The suggestion that Hume offers an unstructured patchwork of reflections masks the novel and systematic distinction Hume draws between his radical philosophical... (shrink)

Let (leeway) incompatibilism be the thesis that causal determinism is incompatible with the freedom to do otherwise. Several prominent authors have claimed that incompatibilism alone can capture, or at least best captures, the intuitive appeal behind Jorge Luis Borges's famous “Garden of Forking Paths” metaphor. The thought, briefly, is this: the “single path” leading up to one's present decision represents the past; the forking paths that one must decide between represent those possible futures consistent with the past and the (...) laws of nature. But if determinism is true, there is only one possible future consistent with the past and the laws and, hence, only one path to choose from. That is, if determinism is true, then we are not free to do otherwise. In this paper, I argue that this understanding of the Garden of Forking Paths faces a number of problems and ought to be rejected even by incompatibilists. I then present an alternative understanding that not only avoids these problems but still supports incompatibilism. Finally, I consider how various versions of (leeway) compatibilism fit with the Garden of Forking Paths as well as the broader question of whether metaphors, however intuitive, have any dialectical force in the debates over freedom. (shrink)

The assumption that commonsense psychological explanations of behavior are causal underlies current debate between simulation theory and theory theory regarding the nature of cognitive mechanism responsible for our folk psychological practices. Theory theorists claim that these explanations are subsumed by the covering law model of causal explanation. Simulationists are not explicit about the nature of the explanations produced by simulation. In what follows, I propose a set of plausible conditions that a correct causal simulation-produced folk psychological explanation (...) will satisfy and point out two prima facie problems. In discussing a possible solution, I discover that the latter incurs the need for some sort of causal law. An examination of two likely candidates for these laws reveals that neither is capable of playing the role required. I then suggest alternative routes that simulationists might explore in order to provide simulation theory with a sorely-needed account of the nature of the explanations produced by simulation. (shrink)

Kant famously rejected an empiricist account of causal claims, because it cannot account for the necessity and universality of causal laws. He then concludes that causal claims must have an a priori basis:1the concept of cause cannot arise in this [empiricist] way at all, but must either be grounded in the understanding completely a priori or else be entirely surrendered as a mere fantasy of the brain. For this concept always requires that something A be of (...) such a kind that something else B follows from it necessarily and in accordance with an absolutely universal rule. Appearances may well offer cases from which a rule is possible in accordance with which something usually happens, but never a rule in accordance with which the succession is necessary; thus to the synthesis of cause and effect there belongs a dignity that can never be expressed empirically, namely that the effect does not merely come along with the cause, but is posited through it and follows from it. [A 91/B 123-4]So much is clearly Kant’s view, and as long as we remain with the vague formulation that causal generalizations have some a priori ground or other, commentators agree. (shrink)

In (1990), Jerry Fodor has defended a naturalized conception of meaning for Mentalese expressions which relies on the notion of asymmetric dependence. According to this conception, any naturalized theory of meaning must be able to account for the fact that meaning is robust, namely that any token of a certain Mentalese expression “x” retains the expression’s meaning, X, for any Y (≠ X) which happens to cause it. Now, this robustness of “x”‘s meaning can precisely be explained in terms of (...) the subsistence of an asymmetric dependence of any nomic connection between Ys and “x”‘s tokens on another nomic connection between Xs and “x”‘s tokens. According to Fodor, then, this relation between nomic connections can account in perfectly naturalistic terms for “x” meaning X, by providing a sufficient condition for such a meaning. In what follows, however, I will try to show, first, that the subsistence of asymmetric dependencies of the kind envisaged by Fodor is not enough for assigning meaning to a certain expression. Indeed, there are dependencies of this kind which are meaning-irrelevant. Secondly, I will claim that asymmetric dependence relations are not able even to support for the robustness of meaning. For there are cases in which according to the structure of these relations we would have to conclude that meaning is altered although robustness would require to have it unchanged. (shrink)

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. (...) This is the view that causal relations between events/states of affairs logically supervene upon causal laws plus non-causal states of affairs. In this paper, I shall attempt to show that the view in question is exposed to decisive objections. (shrink)

In this paper we discuss how Causal Decision Theory should be modified to handle a class of problematic cases involving deterministic laws. Causal Decision Theory, as it stands, is problematically biased against your endorsing deterministic propositions (for example it tells you to deny Newtonian physics, regardless of how confident you are of its truth). Our response is that this is not a problem for Causal Decision Theory per se, but arises because of the standard method for (...) assessing the truth of certain counterfactuals. The truth of deterministic laws is `modally fragile' on the standard semantics for counterfactuals: if determinism is true and you were to do otherwise, the laws would be different. We provide two ways of avoiding this problem: 1) supplement the standard semantics for counterfactuals with impossible worlds, or 2) introduce rigid designators into the description of problematic decision situations. We argue that both of these approaches are well-motivated and can be readily incorporated into Lewisian Causal Decision Theory. (shrink)

In Warrant and Proper Function, Alvin Plantinga develops an argument designed to show that naturalism is self-defeating. One component of this larger argument is what I call Plantinga's belief-cum-desire argument, which is intended to establish something more specific: that if the content of our beliefs does causally effect behaviour (that is to say, semantic content is not epiphenomenal), and if naturalism and current evolutionary doctrine are correct, then the probability that we possess reliable cognitive mechanisms must be either inscrutable or (...) low. This paper aims to refute Plantinga's belief-cum-desire argument. (shrink)