Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.

In this important book, Ellery Eells explores and refines philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of (...) what it is for one factor to be a positive causal factor for another. A salient feature of the book is a theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central. This will be a book of crucial significance to philosophers of science and metaphysicians; it will also prove stimulating to many economists, psychologists, and physicists. (shrink)

A new approach for defining causality and such related notions as degree of responsibility, degrees of blame, and causal explanation. Causality plays a central role in the way people structure the world; we constantly seek causal explanations for our observations. But what does it even mean that an event C "actually caused" event E? The problem of defining actual causation goes beyond mere philosophical speculation. For example, in many legal arguments, it is precisely what needs to be established (...) in order to determine responsibility. The philosophy literature has been struggling with the problem of defining causality since Hume. In this book, Joseph Halpern explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression. Halpern applies and expands an approach to causality that he and Judea Pearl developed, based on structural equations. He carefully formulates a definition of causality, and building on this, defines degree of responsibility, degree of blame, and causal explanation. He concludes by discussing how these ideas can be applied to such practical problems as accountability and program verification. Technical details are generally confined to the final section of each chapter and can be skipped by non-mathematical readers. (shrink)

Scientific and philosophical literature on causality has become highly specialised. It is hard to find suitable access points for students, young researchers, or professionals outside this domain. This book provides a guide to the complex literature, explains the scientific problems of causality and the philosophical tools needed to address them.

I discuss an important feature of the notion of cause in Post. An. 1. 13, 78b13–28, which has been either neglected or misunderstood. Some have treated it as if Aristotle were introducing a false principle about explanation; others have understood the point in terms of coextensiveness of cause and effect. However, none offers a full exegesis of Aristotle's tangled argument or accounts for all of the text's peculiarities. My aim is to disentangle Aristotle's steps to show that he is arguing (...) in favour of a logical requirement for a middle term's being the appropriate cause of its explanandum. Coextensiveness between the middle term and the attribute it explains is advanced as a sine qua non condition of a middle term's being an appropriate or primary cause. This condition is not restricted either to negative causes or to middle terms in second‐figure syllogisms, but ranges over all primary causes qua primary. (shrink)

Anscombe’s “Causality and Determination” is often cited in the contemporary free will debate, but rarely discussed in much detail. It’s main contribution, it is thought, is the defense of an alternative to deterministic causation, thus clearing the way for an incompatibilist analysis of free actions in terms of probabilistic causation. However, in this paper I will show that the contemporary probabilistic analysis of free action actually stands in direct conflict with Anscombe’s lecture. Instead, I will argue, its true value (...) for incompatibilist accounts of free will lies in Anscombe’s thought that there are various fundamentally different kinds of causality. This variety, I argue, allows for a revised conception indeterminism and an understanding of free will as the manifestation of a particular sort of agent-causal power. (shrink)

We argue that the health sciences make causal claims on the basis of evidence both of physical mechanisms, and of probabilistic dependencies. Consequently, an analysis of causality solely in terms of physical mechanisms or solely in terms of probabilistic relationships, does not do justice to the causal claims of these sciences. Yet there seems to be a single relation of cause in these sciences - pluralism about causality will not do either. Instead, we maintain, the health sciences require (...) a theory of causality that unifies its mechanistic and probabilistic aspects. We argue that the epistemic theory of causality provides the required unification. (shrink)

Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst causation plays a major role in theories and concepts of medicine, little attempt has been made to connect causation and probability with medicine itself. Causality, Probability, and Medicine is one of the first books to apply philosophical reasoning about causality to important topics and debates in medicine. Donald Gillies provides a thorough introduction to and assessment of competing theories (...) of causality in philosophy, including action-related theories, causality and mechanisms, and causality and probability. Throughout the book he applies them to important discoveries and theories within medicine, such as germ theory; tuberculosis and cholera; smoking and heart disease; the first ever randomized controlled trial designed to test the treatment of tuberculosis; the growing area of philosophy of evidence-based medicine; and philosophy of epidemiology. This book will be of great interest to students and researchers in philosophy of science and philosophy of medicine, as well as those working in medicine, nursing and related health disciplines where a working knowledge of causality and probability is required. (shrink)

This paper presents a drastically revised version of the theory of causality, based on analyses of causal processes and causal interactions, advocated in Salmon (1984). Relying heavily on modified versions of proposals by P. Dowe, this article answers penetrating objections by Dowe and P. Kitcher to the earlier theory. It shows how the new theory circumvents a host of difficulties that have been raised in the literature. The result is, I hope, a more satisfactory analysis of physical causality.

"A rich collection. Since it holds a number of introductory pieces along with advanced essays and review articles, the volume will be accessible to a broad audience and will work well in philosophy of science courses....Essential."--Lawrence Sklar, University of Michigan.

This paper discusses several distinct process theories of causality offered in recent years by Phil Dowe and me. It addresses problems concerning the explication of causal process, causal interaction, and causal transmission, whether given in terms of transmission of marks, transmission of invariant or conserved quantities, or mere possession of conserved quantities. Renouncing the mark-transmission and invariant quantity criteria, I accept a conserved quantity theory similar to Dowe's--differing basically with respect to causal transmission. This paper also responds to several (...) fundamental constructive criticisms contained in Christopher Hitchcock's discussion of both the mark-transmission and the conserved quantity theories. (shrink)

I IT is often declared or evidently assumed that causality is some kind of necessary connexion, or alternatively, that being caused is — non-trivially ...

In the present article, I introduce Husserl’s analyses of ‘natural causality’ and ‘volitional causality’, which are collected in the volume ‘Wille und Handlung’ of the Husserliana edition Studien zur Struktur des Bewußtseins. My aim is to show that Husserl’s insight into these phenomena enables us to understand more clearly both the specificity of, and the relation between, the motivational nexus belonging to the sphere of the will in contrast with the causal laws of nature. In light of this (...) understanding, in the last part of the article I reflect on whether and to what extent there is, in fact, an ontological and epistemological compatibility between volitional causality and natural causality. (shrink)

After clarifying the probabilistic conception of causality suggested by Good (1961-2), Suppes (1970), Cartwright (1979), and Skyrms (1980), we prove a sufficient condition for transitivity of causal chains. The bearing of these considerations on the units of selection problem in evolutionary theory and on the Newcomb paradox in decision theory is then discussed.

Bayesian nets are widely used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover causal relationships. This book, aimed at researchers and graduate students in computer science, mathematics and philosophy, brings together two important research topics: how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy.

Applied Evolutionary Epistemology is a scientific-philosophical theory that defines evolution as the set of phenomena whereby units evolve at levels of ontological hierarchies by mechanisms and processes. This theory also provides a methodology to study evolution, namely, studying evolution involves identifying the units that evolve, the levels at which they evolve, and the mechanisms and processes whereby they evolve. Identifying units and levels of evolution in turn requires the development of ontological hierarchy theories, and examining mechanisms and processes necessitates theorizing (...) about causality. Together, hierarchy and causality theories explain how biorealities form and diversify with time. This paper analyzes how Applied EE redefines both hierarchy and causality theories in the light of the recent explosion of network approaches to causal reasoning associated with studies on reticulate and macroevolution. Causality theories have often been framed from within a rigid, ladder-like hierarchy theory where the rungs of the ladder represent the different levels, and the elements on the rungs represent the evolving units. Causality then is either defined reductionistically as an upward movement along the strands of a singular hierarchy, or holistically as a downward movement along that same hierarchy. Upward causation theories thereby analyze causal processes in time, i.e. over the course of natural history or phylogenetically, as Darwin and the founders of the Modern Synthesis intended. Downward causation theories analyze causal processes in space, ontogenetically or ecologically, as the current eco-evo-devo schools are evidencing. This work demonstrates how macroevolution and reticulate evolution theories add to the complexity by examining reticulate causal processes in space–time, and the interactional hierarchies that such studies bring forth introduce a new form of causation that is here called reticulate causation. Reticulate causation occurs between units and levels belonging to different as well as to the same ontological hierarchies. This article concludes that beyond recognizing the existence of multiple units, levels, and mechanisms or processes of evolution, also the existence of multiple kinds of evolutionary causation as well as the existence of multiple evolutionary hierarchies needs to be acknowledged. This furthermore implies that evolution is a pluralistic process divisible into different kinds. (shrink)

This paper discusses Simpson's paradox and the problem of positive relevance in probabilistic causality. It is argued that Cartwright's solution to Simpson's paradox fails because it ignores one crucial form of the paradox. After clarifying different forms of the paradox, it is shown that any adequate solution to the paradox must allow a cause to be both a negative cause and a positive cause of..

Many analytic philosophers of mind take for granted a certain conception of causality. Assumptions deriving from that conception are in place when they problematize what they call mental causation or argue for physicalism in respect of the mental. I claim that a different conception of causality is needed for understanding many ordinary causal truths about things which act, including truths about human, minded beings — sc. rational beings who lead lives.

We distinguish two sub-types of each of the two causality principles formulated in connection with the Common Cause Principle in Henson and raise and investigate the problem of logical relations among the resulting four causality principles. Based in part on the analysis of the status of these four principles in algebraic quantum field theory we will argue that the four causal principles are non- equivalent.

The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down (...) the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science. (shrink)

The idea that noumena or things in themselves causally affect our sensibility, and thus provide us with sensations, has been rejected on two basic grounds: It is unintelligible because distinguishes between appearance and reality in such a way that things cannot in principle appear as they really are, and it requires applying the concept of causality trans-phenomenally, contra Kant’s Schematism. I argue that noumenal causality is intelligible and is required out of fidelity to Kant’s texts and doctrines. Kant’s (...) theory of meaning and his transcendental reflection on sensibility show how Kant legitimately can speak about, and determine that, our passive sensibility must be causally affected by noumena. Kant’s analysis of agency shows that Kant’s practical philosophy requires noumenal causality, both from a first- and from a third-person perspective. These points ground my criticisms of Buchdahl and Allison’s view of affection, and Strawson and Sandberg’s view of meaning. (shrink)

Introduction -- Simple linear causality : one thing makes another happen -- The cognitive science of simple causality : why do we get stuck? -- Domino causality : effects that become causes -- Cyclic causality : loops and feedback -- Spiraling causality : escalation and de-escalation -- Mutual causality : symbiosis and bi-directionality -- Relational causality : balances and differentials -- Across time and distance : detecting delayed and distant effects -- "What happened?" (...) vs. "what's going on?" : thinking about steady states -- What you can't see does matter : attending to obvious and non-obvious causes -- It's not always a case of who did it : minding passive and unintentional causality -- Step by step, or not : the mind-bending concept of simultaneous causality -- Figuring out what to count on : dealing with stochastic causality -- Isn't anybody in charge around here? : attending to distributed causality and emergence -- Summing up : the implications for helping a new generation understand causal complexity -- Putting it all together : teaching for causal complexity. (shrink)

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

Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disciplines, ranging from epidemiology to biology, from econometrics to physics, make use of probability and statistics to infer causal relationships. The social and health sciences analyse population-level data using statistical methods to infer average causal relations. In diagnosis of disease, probabilistic statements are based on population-level causal knowledge combined with knowledge of a particular person’s symptoms. For the physical sciences, the Salmon-Dowe account develops an (...) analysis of causation based on the notion of process and interaction. In artificial intelligence, the development of graphical methods has leant impetus to a probabilistic analysis of causality. The biological sciences use probabilistic methods to look for evolutionary causes of the state of a current species and to look for genetic causal factors. This variegated situation raises at least two fundamental philosophical issues: about the relation between causality and probability, and about the interpretation of probability in causal analysis. In this book we bring philosophers and scientists together to discuss the relation between causality and probability, and the applications of these concepts within the sciences. (shrink)

David Hume and other philosophers doubt that causality can be perceived directly. Instead, observers become aware of it through inference based on the perception of the two events constituting cause and effect of the causal relation. However, Hume and the other philosophers primarily consider causal relations in which one object triggers a motion or change in another. In this paper, I will argue against Hume’s assumption by distinguishing a kind of causal relations in which an agent is controlling the (...) motion or change of an object. I will call this kind of causal relations ‘causation-as-control’. In instances of causation-as-control, the observer does not become aware of the causality through inference based on the perception of two events (cause and effect). Rather, she perceives the two events directly and without further inference as cause and effect of a causal relation, and, therefore, the causality at work. (shrink)

This four volume major reference work covers the main issues, methods of analysis, and alternatives, of causality, including the classic texts applying these alternative concepts and methods to empirical cases. The volumes give a substantial historical and philosophical introduction relevant to the concerns of practitioners. As a whole, the volumes represent a complete guide to the literature on social science causality from the beginning to the present.

Process theories of causality seek to explicate causality as a property of individual causal processes. This paper examines the capacity of such theories to account for the asymmetry of causation. Three types of theories of asymmetry are discussed; the subjective, the temporal, and the physical, the third of these being the preferred approach. Asymmetric features of the world, namely the entropic and Kaon arrows, are considered as possible sources of causal asymmetry and a physical theory of asymmetry is (...) subsequently developed with special reference to the questions of objectivity and backwards causation. (shrink)

It seems to be a platitude that there must be a close connection between causality and the laws of nature: the laws somehow cover in general what happens in each specific case of causation. But so-called singularists disagree, and it is often thought that the locus classicus for that kind of dissent is Anscombe's famous Causality & Determination. Moreover, it is often thought that Anscombe's rejection of determinism is premised on singularism. In this paper, I show that this (...) is a mistake: Anscombe is not a singularist, but in fact only objects to a very specific, Humean understanding of the generality of laws of nature and their importance to causality. I argue that Anscombe provides us with the contours of a radically different understanding of the generality of the laws, which I suggest can be fruitfully developed in terms of recently popular dispositional accounts. And as I will show, it is this account of laws of nature (and not singularism) that allows for the possibility of indeterminism. (shrink)

One familiar affirmative answer to this question holds that these facts suffice to entail that Descartes' picture of the human mind must be mistaken. On Descartes' view, our mind or soul (the only essential part of ourselves) has no spatial location. Yet it directly interacts with but one physical object, the brain of that body with which it is, 'as it were, intermingled,' so as to 'form one unit.' The radical disparity posited between a nonspatial mind, whose intentional and conscious (...) properties are had by no physical object, and a spatial body, all of whose properties are had by no mind, has prompted some to conclude that, pace Descartes, causal interaction between the two is impossible. Jaegwon Kim has recently given a new twist to this old line of thought.(1) In the present essay, I will use Kim's argument as a springboard for motivating my own favored picture of the metaphysics of mind and body and then discussing how an often vilified account of freedom of the will may be realized within it. (shrink)

This article is focused on the theory of nature (ṭabʽ) advocated by some of the early Muʽtazilī scholars such as Muʻammar b. ʽAbbād al-Sulamī (d. 215/830), Abū Isḥāq al-Naẓẓām (d. 231/845), Abū ʽUthmān al-Jāḥiẓ (d. 255/869) and Abū al-Qāsim al-Kaʽbī (d. 319/931) and its consequences about causality and miracle. The supporters of the ṭabʽ theory argue that Allah creates all beings with innate and permanent natures and these natures determine all movements and events in universe, and that necessary causal (...) relationships based on it prevail in the universe. But this understanding was criticized and rejected by the majority of Muslim theologians. The focal point of the criticism is God’s agency and His relationship with the universe. The acceptance of such necessary causality in the universe would make it impossible for God to intervene in nature, that is to create a miracle. So, miracles will be the work of the place where it occurs like all other acts when the concept of nature is accepted. In this case, it will not be possible to prove the omnipotence of God and belief in prophethood, which forms the basis of two principles of Islamic belief. This study deals with the dimensions of compulsory causality in the thought of naturalist Muslim theologians by addressing two questions: how the issue of miracle is grounded, and whether a divine intervention in nature of entities is possible. (shrink)

In the philosophical tradition, the notions of determinism and causality are strongly linked: it is assumed that in a world of deterministic laws, causality may be said to reign supreme; and in any world where the causality is strong enough, determinism must hold. I will show that these alleged linkages are based on mistakes, and in fact get things almost completely wrong. In a deterministic world that is anything like ours, there is no room for genuine causation. (...) Though there may be stable enough macro-level regularities to serve the purposes of human agents, the sense of “causality” that can be maintained is one that will at best satisfy Humeans and pragmatists, not causal fundamentalists. (shrink)

In the last decades, Systems Biology (including cancer research) has been driven by technology, statistical modelling and bioinformatics. In this paper we try to bring biological and philosophical thinking back. We thus aim at making diferent traditions of thought compatible: (a) causality in epidemiology and in philosophical theorizing—notably, the “sufcient-component-cause framework” and the “mark transmission” approach; (b) new acquisitions about disease pathogenesis, e.g. the “branched model” in cancer, and the role of biomarkers in this process; (c) the burgeoning of (...) omics research, with a large number of “signals” and of associations that need to be interpreted. In the paper we summarize frst the current views on carcinogenesis, and then explore the relevance of current philosophical interpretations of “cancer causes”. We try to ofer a unifying framework to incorporate biomarkers and omic data into causal models, referring to a position called “evidential pluralism”. According to this view, causal reasoning is based on both “evidence of diference-making” (e.g. associations) and on “evidence of underlying biological mechanisms”. We conceptualize the way scientists detect and trace signals in terms of information transmission, which is a generalization of the mark transmission theory developed by philosopher Wesley Salmon. Our approach is capable of helping us conceptualize how heterogeneous factors such as micro and macro-biological and psycho-social—are causally linked. This is important not only to understand cancer etiology, but also to design public health policies that target the right causal factors at the macro-level. (shrink)

Human freedom is often characterised as a unique power of self-determination. Accordingly, free human action is often thought to be determined by the agent in some distinctive manner. What is more, this determination is widely assumed to be a kind of efficient-causal determination. In reaction to this efficient-causal-deterministic conception of free human action, this paper argues that if one takes up the understanding of determination and causality that is offered by Anscombe in ‘Causality and Determination’, and moreover takes (...) up an understanding of free human action that is constrained by Anscombe’s account of intentional action in Intention, then an account of free human action as distinctively caused or determined by the agent is untenable. However, the notion of necessitation that Anscombe presents in ‘Causality and Determination’, which implies neither causality nor determination, offers an attractive alternative account. This alternative account pushes us to reconsider the sense in which human freedom is a power of self-determination, and to acknowledge the limits of our control in free action. (shrink)

It is argued in this paper that although much attention has been paid to causal chains and common causes within the literature on probabilistic causality, a primary virtue of that approach is its ability to deal with cases of multiple causation. In doing so some ways are indicated in which contemporary sine qua non analyses of causation are too narrow (and ways in which probabilistic causality is not) and an argument by Reichenbach designed to provide a basis for (...) the asymmetry of causation is refined. The importance of referring causal claims to an abstract model is also emphasized. (shrink)

This article contains a survey of recent debates in the philosophy of photography, focusing on aesthetic and epistemic issues in particular. Starting from widespread notions about automatism, causality and realism in the theory of photography, the authors ask whether the prima facie tension between the epistemic and aesthetic embodied in oppositions such as automaticism and agency, causality and intentionality, realism and fictional competence is more than apparent. In this context, the article discusses recent work by Roger Scruton, Dominic (...) Lopes, Kendall Walton, Gregory Currie, Jonathan Cohen and Aaron Meskin, Noël Carroll, and Patrick Maynard in some detail. Specific topics addressed include: aesthetic scepticism, transparency, imagination, perception, information, representation and depiction. (shrink)

Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal knowledge is necessary (...) for the project, both as a source for handling complexity and as an output for meeting the project’s goals. Consequently, I argue that data-driven claims about causality are fundamentally flawed and causal knowledge should be considered a necessary aspect of Big Data science. In addition, I present the consequences of this result on other data-driven claims, concerning the role of theoretical considerations. I argue that the importance of causal knowledge and other kinds of theoretical engagement in EXPOsOMICS undermine theory-free accounts and suggest alternative ways of framing science based on Big Data. (shrink)

Causality is the most important topic in the history of western science, and since the beginning of the statistical paradigm, its meaning has been reconceptualized many times. Causality entered into the realm of multi-causal and statistical scenarios some centuries ago. Despite widespread critics, today deep learning and machine learning advances are not weakening causality but are creating a new way of finding correlations between indirect factors. This process makes it possible for us to talk about approximate (...) class='Hi'>causality, as well as about a situated causality. (shrink)

The article presents the question of understanding divine causality and its analogical character in the context of Thomas Aquinas’s teaching on Divine Providence. Analyzing Aquinas’s texts concerning the relation of God’s action towards nature and its activities it is necessary to emphasize the proper understanding of mutual relations between secondary causes and the primary cause which are not on the same level. Influenced by the reflection of M. Dodds and I Silva, the author of the article refers to Aquinas’s (...) biblical commentaries which have not been discussed so far from the perspective of the character of God’s action. In the final part of the article, metaphors used by Thomas in reference to the relation of God towards the world will be presented. (shrink)

If $\mathcal{A}$ (V) is a net of local von Neumann algebras satisfying standard axioms of algebraic relativistic quantum field theory and V 1 and V 2 are spacelike separated spacetime regions, then the system ( $\mathcal{A}$ (V 1 ), $\mathcal{A}$ (V 2 ), φ) is said to satisfy the Weak Reichenbach's Common Cause Principle iff for every pair of projections A∈ $\mathcal{A}$ (V 1 ), B∈ $\mathcal{A}$ (V 2 ) correlated in the normal state φ there exists a projection C (...) belonging to a von Neumann algebra associated with a spacetime region V contained in the union of the backward light cones of V 1 and V 2 and disjoint from both V 1 and V 2 , a projection having the properties of a Reichenbachian common cause of the correlation between A and B. It is shown that if the net has the local primitive causality property then every local system ( $\mathcal{A}$ (V 1 ), $\mathcal{A}$ (V 2 ), φ) with a locally normal and locally faithful state φ and suitable bounded V 1 and V 2 satisfies the Weak Reichenbach's Common Cause Principle. (shrink)

The relationship between traumatic experiences and subsequent distress is not well understood, and little research focuses on the lived experience of psychological trauma. I draw on Louis Sass’s phenomenological taxonomy to address this lacuna. I present his differentiation between relations of phenomenological causality and implication and demonstrate that his taxonomy can be applied to experiences of trauma. Relations of phenomenological causality and implication can be identified in the genesis and constitution of post-traumatic distress. My adaptation of Sass’s taxonomy (...) will furthermore offer an extension and development of his account, applying it to the study of post-traumatic experiences and elaborating it in the process. I shall demonstrate that whether experiences occur synchronically or diachronically is not essential to their categorization in terms of phenomenological implication and causality, respectively. I will show that an alteration in perception or behavior post trauma might temporally succeed the traumatizing event while, at the same time, being implied in the experience of the event. Thereby, I demonstrate how phenomenology may contribute to a detailed understanding of experiences of trauma. Scrutiny of traumatic experiences furthermore promises to contribute to the philosophical discourse on causality, implication, and temporal experience. (shrink)

Two distinguished philosophers present opposing views on the questions of howthe objects of consciousness are perceived. (Philosophy).