David Lewis’s latest theory of causation defines the causal link in terms of the relation of influence between events. It turns out, however, that one event’s influencing another is neither a necessary nor sufficient condition for its being a cause of that event. In the article one particular case of causality without influence is presented and developed. This case not only serves as a counterexample to Lewis’s influence theory, but also threatens earlier counterfactual analyses of causation by admitting a particularly (...) troublesome type of preemption. The conclusion of the article is that Lewis’s influence method of solving the preemption problem fails, and that we need a new and fresh approach to the cases of redundant causation if we want to hold on to the counterfactual analysis of causation. (shrink)

The article deals with one particular problem created by the counterfactual analysis of causality à la Lewis, namely the context-sensitivity problem or, as I prefer to call it, the background condition problem. It appears that Lewis’ counterfactual definition of causality cannot distinguish between proper causes and mere causal conditions – i.e. factors necessary for the effect to occur, but commonly not seen as causally efficacious. The proposal is put forward to amend the Lewis definition with a condition, based on the (...) notion of cotenability, which would eliminate the problem. It is shown that the corrected definition of causality leads to the transitivity of the causal relation. Possible objections to the proposed solution, involving the assumption of indeterminism and the preemption cases, are given a thorough consideration. (shrink)

Philosophical works on actual causation make wide use of thought experiments. The principal aim of this paper is to show how thought experiments are used in the contemporary debate over actual causation and to discuss their role in relation to formal approaches in terms of causal models. I claim that a recourse to thought experiments is not something old fashioned or superseded by abstract models, but it is useful to interpret abstract models themselves and to use our intuitions to judge (...) the results of the model. Recent research on actual causation has stressed the importance of integrating formal models with some notion of normality; I suggest that thought experiments can be useful in eliciting intuitions where normality is not intended in a statistical sense. The first expository part gives a short presentation of the notion of actual causation, summarising some typical problems of counterfactual approaches and how they are treated in causal and structural models. The second part focuses on the problems of model isomorphism and criticises some radical ideas opposing the role of thought experiments, claiming that they may also be of use in evaluating formal models. (shrink)

Philosophical works on actual causation make wide use of thought experiments. The principal aim of this paper is to show how thought experiments are used in the contemporary debate over actual causation and to discuss their role in relation to formal approaches in terms of causal models. I claim that a recourse to thought experiments is not something old fashioned or superseded by abstract models, but it is useful to interpret abstract models themselves and to use our intuitions to judge (...) the results of the model. Recent research on actual causation has stressed the importance of integrating formal models with some notion of normality; I suggest that thought experiments can be useful in eliciting intuitions where normality is not intended in a statistical sense. The first expository part gives a short presentation of the notion of actual causation, summarising some typical problems of counterfactual approaches and how they are treated in causal and structural models. The second part focuses on the problems of model isomorphism and criticises some radical ideas opposing the role of thought experiments, claiming that they may also be of use in evaluating formal models. (shrink)

Some questions are posed for van Fraassen, concerning the role and status of metaphysics in his Scientific Representation.

I discuss a solution to the Yale shadow puzzle, due to Roy Sorensen, based on the actual process theory of causation, and argue that it does not work in the case of a new version of the puzzle, which I call "the Bilkent shadow puzzle". I offer a picture of the ontology of shadows that constitute the basis for a new solution that uniformly applies to both puzzles.

Suppose that it is metaphysically possible that the mereological fusion of all contingent states of affairs has a cause. Whatever the nature of the state of affairs that causes such mereological fusion, it should be metaphysically necessary because, otherwise, it could be part of the mereological fusion it causes. It is possible, then, that there is at least one necessary state of affairs. This state of affairs is a causal relatum, so it must include at least one concrete necessary object. (...) But if something is possibly necessary, then it is necessary because it is not metaphysically contingent whether something is necessary or doesn't. Then, it results that it is metaphysically necessary that there is, at least, a concrete necessary object. This work presents and discusses this argument. (shrink)

In the recent literature on causal and non-causal scientific explanations, there is an intuitive assumption according to which an explanation is non-causal by virtue of being abstract. In this context, to be ‘abstract’ means that the explanans in question leaves out many or almost all causal microphysical details of the target system. After motivating this assumption, we argue that the abstractness assumption, in placing the abstract and the causal character of an explanation in tension, is misguided in ways that are (...) independent of which view of causation or causal explanation one takes to be most accurate. On major accounts of causation, as well as on major accounts of causal explanation, the abstractness of an explanation is not sufficient for it being non-causal. That is, explanations are not non-causal by dint of being abstract. (shrink)

In this work, I analyze our concept of cause in the face of criticism of Bertrand Russell in his article “On the Notion of Cause”. For Russell, there is an estrangement between the notion of cause and mature science of physics. The word cause (and its correlates) would not be used in physics, thus eliminating the main justification of philosophy for his job—the foundation of science. Thus, the various causal notions and the principle of causality should be abandoned by philosophers (...) as something outdated. The aim of this study is to assess the extent to which our notion of cause, with its asymmetric nature, can be explained by physics and investigate the question of the existence of causes in our world. (shrink)

A large number of legal rules create an obligation to prevent, repair or otherwise mitigate damage to human health or the environment. Many of these rules require that a legally relevant causal relation between human behaviour and the damage at issue is established, and in the establishment of causal relations of this kind scientific information is often pressed into service. This thesis examines this specifically legal use of scientific information. It shows that many legally relevant causal relations cannot be established (...) in this way. It also shows that the legal strategy for dealing with epistemic difficulties by relaxing the standard of proof is of limited value in tackling this problem. Consequently, the legal rules focused upon are less efficient tools for combating damage to human health and the environment than their appearances suggest. Other legal means to achieve this aim should therefore be considered. The thesis begins by presenting a framework which can be used to solve some important problems with communication and the division of labour that arise when scientific information is used to answer legal questions. This framework recognizes both epistemological and ontological differences between law and science. The latter are differences between the kinds of entity which are relevant in distinct theoretical contexts; the former, by contrast, are differences between applicable standards of proof. In subsequent parts of the thesis this framework shapes the discussion of the question: To what extent can legally relevant causal relations, involving legally significant entities, be established through the application of scientific information about other, scientifically relevant entities and legal standards of proof. The thesis concludes with a discussion of some of the ways in which the legal regulation could, potentially, be adapted, so as to counteract damage to human health and the environment more efficiently. (shrink)

In studying causation, many examples are presented assuming that determinism holds in the world of the example such as the notoriously difficult to resolve preemptive and preventative situations. We show that for deterministic examples that this conditional preemptive situation is either (i)vacuously true, (ii)contradictory, or (iii) implies indeterminism. Along the way we formulate a specific block space-time definition of determinism, and suggest that commonsense causation theories need focus on unphysical quantities and indeterminism.

Explanations in psychiatry often integrate various factors relevant to psychopathology. Identifying genuine causes among them is theoretically and clinically important, but epistemically challenging. Woodward’s interventionism appears to provide a promising tool to achieve this. However, Woodward’s interventionism is too demanding to be applied to psychiatry. I thus introduce difference-making interventionism, which detects relevance in general rather than causation, to make interventionist reasoning viable in clinical practice. DMI mirrors the empirical reality of psychiatry even more closely than interventionism, but it needs (...) to be supplied with additional heuristics to disambiguate between causes and other difference-makers. To achieve this, I suggest employing heuristics based on multiple experiments, temporal order and scientific domain. (shrink)

David Haig propounds and illustrates the unity of a radically revised set of definitions of the family of terms at the heart of philosophy of cognitive science and mind: information, meaning, interpretation, text, choice, possibility, cause. This biological re-grounding of much-debated concepts yields a bounty of insights into the nature of meaning and life. An interpreter is a mechanism that uses information in choice. The capabilities of the interpreter couple an entropy of inputs to an entropy of outputs is dispelled (...) by observation. The second entropy is dispelled. I propose that an interpreter’s response to inputs meaning of the information for the interpreter. In this conceptual framework, the mechanisms of interpreters provide the much-debated link between Shannon information and semantics. (shrink)

The article deals with the conception of backward causation, i.e. with the question whether an effect can precede its cause. It analyses some arguments for possibility of backward causation. It is especially Dummett’s theory of quasi-causation that is a moderate form of backward causation concept. The article refuses the arguments for possibility of backward causation as unconvincing of false.

This item has been retired at the request of its author.

The purpose of this thesis is to provide a metaphysic for moral realism and moral perception. This thesis is in two parts. The first is concerned with basic ontology. I begin in chapter 1 with an analysis of causation, demonstrating that substance theory is superior to Humeanism at accounting for our observations; thus I defend a substance ontology. In chapter 2, I address human agency, demonstrating that reasons internalism does not allow for incompatibilist freedom; hence, I affirm reasons are states (...) of affairs. I move on to qualia in chapter 3, demonstrating that arguments both for and against qualia realism involve question begging. In response, I argue that qualia realism is just as reasonable as anti-realism, and affirm realism. Given this, I address the mind-body problem in chapter 4, demonstrating the failure of physicalists to account for mental causation. I conclude that panpsychism, idealism, and substance dualism are equal reasonable alternatives: each allows for intrinsic properties, which are integral to substance ontology. The second part builds a moral ontology, along with an account of moral perceptual knowledge, compatible with the above basic ontology. In chapter 5, I reject moral properties as monadic since this would bar mapping moral concepts onto mind-independent reality. Instead, I argue that moral properties are relations. More specifically, in chapter 6, I make the case that they are features of relations, relations themselves being the total complex states of affairs between one or more substances. This allows moral properties to have their own nonreducible phenomenal quality. To account for moral normativity, I argue that moral features are actually a class of causal features, and briefly argue that final causes determine the normative causal trajectory of all substances. In chapter 7, I conclude this thesis with addressing possible objections to my theory of perception and perceptual knowledge. (shrink)

Neander presents a causal version of informational teleosemantics, where a non-conceptual state R has the content F if and only if R has the function of being caused by F. In contrast, probabilistic versions of informational teleosemantics claim that R has the content F if and only if R has the function of covarying with F. These two theories ascribe different contents to representational states since PT allows R to have the content F when R non-causally covaries with F. First, (...) I argue that CT is incapable of serving one of the main explanatory aims of a theory of content, which is to fully explain behavior. Second, I defend PT against the charge of indeterminacy, arguing that when PT ascribes multiple contents, these contents serve distinct explanatory aims. (shrink)

We propose a novel account of the distinction between innate and acquired biological traits: biological traits are innate to the degree that they are caused by factors intrinsic to the organism at the time of its origin; they are acquired to the degree that they are caused by factors extrinsic to the organism. This account borrows from recent work on causation in order to make rigorous the notion of quantitative contributions to traits by different factors in development. We avoid the (...) pitfalls of previous accounts and argue that the distinction between innate and acquired traits is scientifically useful. We therefore address not only previous accounts of innateness but also skeptics about any account. The two are linked, in that a better account of innateness also enables us better to address the skeptics. (shrink)

Even given agreement on the totality of conditions that brought about an effect, there often is disagreement about the cause of the effect, for example, the disagreement about the cause of the Gulf oil spill. Different conditions’ being deemed responsible accounts for such disagreements. The defense of the act of deeming a condition responsible often depends on showing that the condition was the appropriate target of interference in order to have avoided the effect.

Causal overdetermination – i.e. instances in which x, y, and z all occur and intuitively the occurrence of x alone is sufficient for the occurrence of z and the occurrence of y alone is sufficient for the occurrence of z – has long been considered a problem for counterfactual analyses of causation. Intuitively, we want to say both x and y caused z, but standard Lewisian counterfactual analysis yields the result that neither x nor y caused z. David Lewis, himself, (...) suggested that overdetermination ought to be left as “spoils to the victor”. I show how, if we modify Lewis’ account of events slightly, we can bring counterfactual analysis in line with our intuitions about overdetermination. (shrink)

Proves Completeness for the Evidential Conditional.

In many biological experiments, due to gene-redundancy or distributed backup mechanisms, there are no visible effects on the functionality of the organism when a gene is knocked out or down. In such cases there is apparently no counterfactual dependence between the gene and the phenotype in question, although intuitively the gene is causally relevant. Due to relativity of causal relations to causal models, we suggest that such cases can be handled by changing the resolution of the causal model that represents (...) the system. By decreasing the resolution of our causal model, counterfactual dependencies can be established at a higher level of abstraction. By increasing the resolution, stepwise causal dependencies of the right kind can serve as a sufficient condition for causal relevance. Finally, we discuss how introducing a temporal dimension in causal models can account for causation in cases of non-modular systems dynamics. (shrink)

In this chapter I lay out a notion of philosophical naturalism that aligns with pragmatism. It is developed and illustrated by a presentation of my views on natural kinds and my theory of concepts. Both accounts reflect a methodological naturalism and are defended not by way of metaphysical considerations, but in terms of their philosophical fruitfulness. A core theme is that the epistemic interests of scientists have to be taken into account by any naturalistic philosophy of science in general, and (...) any account of natural kinds and scientific concepts in particular. I conclude with general methodological remarks on how to develop and defend philosophical notions without using intuitions. (shrink)

In this talk I present the main results from Anta (2021), namely, that the theoretical division between Boltzmannian and Gibbsian statistical mechanics should be understood as a separation in the epistemic capabilities of this physical discipline. In particular, while from the Boltzmannian framework one can generate powerful explanations of thermal processes by appealing to their microdynamics, from the Gibbsian framework one can predict observable values in a computationally effective way. Finally, I argue that this statistical mechanical schism contradicts the Hempelian (...) (1958) thesis that the predictive power of a scientific theory is directly proportional to its explanatory potential, and vice versa. (shrink)

Traditional Chinese Medicine has been criticized for being unscientific because the theory on which it is based involves entities like qi and ’meridians’ that appear ambiguous and because the internal ‘organs’ like the kidney and the spleen are very different from those of modern anatomy and physiology. Even more so, TCM methods of therapy based on the yin-yang principle, the model of the five elements, and the classification of illnesses according to standard constellations of symptoms are largely unproven by the (...) protocols of modern evidence-based medicine. This dissertation attempts to reconstruct TCM theory by: providing explanations of TCM entities as abstractions and constructs that relate to observable body functions and illness symptoms and interpreting TCM theory as comprising heuristic models that were constructed from clinical experience to fit empirical observations of illnesses and their treatments with herbal medications and acupuncture. It suggests that scientists should be less concerned with the ontological status of TCM entities and the epistemic credentials of TCM models than with the ability of these concepts and models to guide physicians in therapy. More importantly, it makes the argument that these models are testable using the methods of evidence-based medicine. There are methodological difficulties associated with randomized controlled trials partly because TCM treatments tend to be individualized and syndromes are dynamic in nature; observational trials may be more appropriate in some situations. It is also possible that, for patients who are more culturally attuned to TCM, the placebo effect is strongly at play and may render the real effects of TCM treatments harder to tease out in clinical trials. The dissertation concludes that the main postulates of TCM should be put to rigorous test. The result may be a leaner but more robust theory, with parts that do not stand up to the test being rejected or modified, and a possible acceptance of its more modest therapeutic claims for a limited range of pathological conditions like pain and chronic illnesses. (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)

Three fundamental claims are defended in this dissertation. First, the influence of Hume's epistemological program and his skepticism with respect to causal knowledge have hindered the development of an adequate theory of scientific explanation. Second, Hume's conception of causal knowledge is outdated, and knowledge of causation should be relieved of the special epistemological burden placed on it by Hume's followers. Finally, once relieved of this Humean epistemological burden, the causal theory of scientific explanation is superior to alternatives lying in the (...) tradition of Humean positivism. ;Humean positivism places severe constraints on theories of scientific explanation, and its influence on extant theories is reviewed. Recent positivist theories of scientific explanation are discussed critically, and are shown to suffer serious difficulties. Particular attention is paid to recent pragmatic theories and to Kitcher's unificationist theory. ;The causal theory of scientific explanation is developed through an examination of theories of causation. Traditional views , recent statistical theories, and Salmon's theory of causation are rejected in favor of Cartwright's thesis that causal laws are best understood as capacity ascriptions. The essential features of scientific explanations are then outlined: most prominent are the ascription of causal capacities and the description of causal interactions. The philosophical benefits of the causal theory are also summarized. ;Common objections to causal theories of explanation are treated. Of central importance is Hume's skeptical argument. Once Hume's conception of causal knowledge is modernized, however, his arguments yield no skepticism particular to the knowledge of causation: causal knowledge is as defensible as are more respectable types of empirical knowledge. Other important objections are also reviewed. ;Finally, historical studies of two well-known explanatory controversies--the Jensen-Lewontin debate concerning the heritability of IQ, and a dispute about the nature of cosmic radiation--are presented. Positivist theories of scientific explanation can account for neither the origin nor the manner of resolution of these controversies. In contrast, the causal theory of explanation is shown to illuminate the controversies successfully. This success offers additional evidence in favor of the causal theory of scientific explanation. (shrink)

I argue that the Carroll-Chen cosmogonic model does not provide a plausible scientific explanation of our universe's initial low-entropy state.

The aim of this paper is to show that biological kinds can be causally homogeneous, although all biological causes are identical with configurations of physical causes. The paper considers two different strategies to establish that result: the first one relies on two different manners of classification (according to function and according to composition); the other one exploits the idea of biological classifications being rather coarse-grained, whereas physical classifications are fine-grained.

I have two main aims. The first is general, and more philosophical. The second is specific, and more closely related to physics. The first aim is to state my general views about laws and causation at different ”levels’. The main task is to understand how the higher levels sustain notions of law and causation that ”ride free’ of reductions to the lower level or levels. I endeavour to relate my views to those of other symposiasts. The second aim is to (...) give a framework for describing dynamics at different levels, emphasizing how the various levels’ dynamics can mesh or fail to mesh. This framework is essentially that of elementary dynamical systems theory. The main idea will be, for simplicity, to work with just two levels, dubbed ”micro’ and ”macro’, which are related by coarse-graining. I use this framework to describe, in part, the first four of Ellis’ five types of top-down causation. (shrink)

Causation is analysed in terms of transference of amounts of conserved quantities between events. Such amounts are tropes. However, causal explanations are directly made true, not by transmission relations but by relations of causal responsibility, of a fact Fc about the cause event c for a fact Ge about the effect event e. Causal responsibility is analysed in terms of causation between events c and e and a law of nature holding between the properties F and G. This account overcomes (...) many objections against other process theories, as well as against accounts in terms of counterfactual dependency and conditional probabilities. (shrink)

En un artículo reciente, García-Ramírez ha argumentado que el análisis contrafáctico de la causalidad de Lewis tiene la indeseable consecuencia de hacer posible la causalidad transmundana. En este artículo argumento que, contrario a lo que García-Ramírez sostiene, la causalidad transmundana no se deriva de la teoría de Lewis de la causalidad intramundana, ya que no se puede extender la relación de cercanía entre mundos de Lewis a pares de mundo de una manera que no sea trivial o ad hoc.