Interpreters of Hume on causation consider that an advantage of the ‘quasi-realist’ reading is that it does not commit him to scepticism or to an error theory about causal reasoning. It is unique to quasi-realism that it maintains this positive epistemic result together with a rejection of metaphysical realism about causation: the quasi-realist supplies an appropriate semantic theory in order to justify the practice of talking ‘as if’ there were causal powers in the world. In (...) this paper, I problematise the quasi-realist reading of Hume on causation by showing how quasi-realism does not speak to inductive scepticism. I also offer evidence that Hume takes inductive scepticism to result from his theory of causation, and that his scepticism is tied to his rejection of metaphysical causal realism. (shrink)

Introduction The discussion of “self-knowledge” as a philosophical issue begins with an intuition. This intuition is based on the fact that our knowledge of our mental states or our knowledge in relation to statements like: “I know that I am happy,” is a particular knowledge that is distinct from the rest of our knowledge. It seems that in order to gain knowledge of ourselves, we do not need to go through those processes that we go through in order to gain (...) knowledge about the external world or knowledge of other minds. We feel that we directly know our own mental states. The role of self-knowledge philosophers is to explain this type of particular knowledge. Theories such as the Inner Sense Theory, the Acquaintance Theory, inferentialism, or theories with a rationalist approach are presented in response to this issue. Considering theories such as the Inner Sense Theory and the Acquaintance Theory, we will find that a common aspect of these theories is that self- knowledge has been defined as a product of an internal observation of our mental states. Such an approach is a kind of Empiricism in self-knowledge. The Rationalist approach has been raised against this approach. This approach, by linking self-knowledge with rationality, has opened a new chapter in the discussion of self-knowledge. The foundation of this approach is based on the principle that our situation as a rational agent plays a fundamental role in self-knowledge. Rationalists believed that this ignorance of the fundamental role of rationality in self-knowledge has caused Empiricists to ignore the most important kind of self-knowledge that is associated with rationality. Tyler Burge, Richard Moran, and Matthew Boyle are some of the important philosophers who theorize about this kind of self-knowledge. Goal In this paper, we will first introduce the main components of Rationalist approaches because we want to review the theoretical literature of this approach. Then, we will bring up a summary of the Tyler Burge view, a famous and important philosopher of the rationalist approach. This is an introduction to introduce Moran’s Theory of Transparency which is the focal point of our discussion. We will then refer to one of the most important challenges facing the Transparency Theory and bring up a significant solution that is presented by Matthew Boyle. We will also show that despite the advantages of this solution, there are ambiguities and other challenges. Finally, we will try to set up two proposals as a way to advance Boyle’s solution. Conclusion The perspective of rationalist philosophers about the existence of a kind of self-knowledge in rational creatures seems to be a powerful idea that is difficult to oppose. Tyler Burge presented interesting arguments about this issue. But it is not easy replying to the question of how this kind of self-knowledge occurs. The theory of Transparency and Reflectivism were proposed to respond to this question. Although they have been considered as efficient theories; however, the mentioned problem still remains ambiguous and complex. Transparency denied the introspective self-knowledge, but couldn’t explain how transparent self-knowledge occurs and therefore, it does not provide a complete explanation for self-knowledge. Some vagueness and some important challenges still continue to exist in this theory. Finally, we propose two proposals as a complement to Boyle’s theory. Maybe they could advance this theory. We suggest that we can use the concept of non-conceptual belief and dispositional belief. These debates have the potential for solving some of the challenges of Transparency and Reflectivism. These are profound topics and need great reflection. We know that our proposals are very elementary and crude ideas. But perhaps they can be a way toward developing the Transparency and Reflectivism theories. (shrink)

Presents an interpretation of David Hume's account of what a 'cause' is. This book emphasises on the connections between Hume's theories of cause, space and time, morals, and aesthetics.

In recent years, a number of philosophers have promoted a quasi-realist (or projectivist) interpretation of Hume's theory of causation. In this paper, we argue against the quasi-realist interpretation of Hume, on the grounds that there is a direct clash between a fundamental element of Hume's system (his empiricist theory of content) and one of the main constraints that governs any form of quasi-realism (and so a fortiori, quasi-realism about causation).

In this paper, we critically analyze the mechanicist approach to scientific explanation and propose to complement this view with a conception of level as interval of quasi-decompositionality. This conception allows us to metaphysically base the mechanicist proposals on characteristic systemic features. By means of concrete examples, we claim that this proposal is able to overcome some of the alleged limitations of predominant models of mechanistic explanation.

This paper offers a new way to evaluate counterfactual conditionals on the supposition that actually, there is no time. We then parlay this method of evaluation into a way of evaluating causal claims. Our primary aim is to preserve, at a minimum, the assertibility of certain counterfactual and causal claims once time has been excised from reality. This is an important first step in a more general reconstruction project that has two important components. First, recovering our ordinary language claims involving (...) notions such as persistence, change and agency and, second, recovering enough observational evidence so that any timeless metaphysics is not empirically self-refuting. However, the project of investigating causation in a timeless setting has a greater relevance than its application to timeless physical theory alone. For, as we show, it can be used to model the assertibility conditions of causal claims more generally. (shrink)

This volume collects some influential essays in which Simon Blackburn, one of our leading philosophers, explores one of the most profound and fertile of philosophical problems: the way in which our judgments relate to the world. This debate has centered on realism, or the view that what we say is validated by the way things stand in the world, and a variety of oppositions to it. Prominent among the latter are expressive and projective theories, but also a relaxed pluralism that (...) discourages the view that there are substantial issues at stake. The figure of the "quasi-realist" dramatizes the difficulty of conducting these debates. Typically philosophers thinking of themselves as realists will believe that they alone can give a proper or literal account of some of our attachments--to truth, to facts, to the independent world, to knowledge and certainty. The quasi-realist challenge, developed by Blackburn in this volume, is that we can have those attachments without any metaphysic that deserves to be called realism, so that the metaphysical picture that goes with our practices is quite idle. The cases treated here include the theories of value and knowledge, modality, probability, causation, intentionality and rule-following, and explanation. A substantial new introduction has been added, drawing together some of the central themes. The essays articulate a fresh alternative to a primitive realist/anti-realist opposition, and their cumulative effect is to yield a new appreciation of the delicacy of the debate in these central areas. (shrink)

Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: (...) a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions. (shrink)

In a seminal article, Simo Knuuttila and Anja Inkeri Lehtinen drew attention to a “curious doctrine” holding that contradictories can be true at the same temporal instant, and identified the major defenders of the doctrine as John Baconthorpe, Landolfo Caracciolo, and Hugh of Novocastro. Normann Kretzmann later asserted as fact the suggestion by Knuuttila and Inkeri Lehtinen that the doctrine comes from a misreading of a passage from Aristotle’s Physics. In fact, a study of the relevant texts reveals that Hugh (...) of Novocastro first elaborated the doctrine by building on the Scotist doctrines of synchronic contingency and simultaneous causation. As these doctrines require at the same instant of time an order of priority and posteriority between possibility and actuality, cause and effect, so, Hugh says, there must be prior and posterior different states of affairs. Landolfo Caracciolo made this doctrine notorious outside the Franciscan convent by using it in his principia debates, directly engaging the circle of Cardinal Iacopo Stefaneschi. John Baconthorpe, the first to cite the Physics passage, did not have any noticeable effect on the development of the doctrine. (shrink)

This chapter focuses on the connection between counterfactuals and causation, and on the use of causation in the analyses of other concepts, especially decision and dispositions. It briefly reviews two preliminary pieces of conceptual apparatus. The chapter divides Lewis's treatment of causation into three stages: The first is the theory presented in the 1973 paper "Causation.” The second includes the amendments included in postscripts to “Causation” in Philosophical Papers, Volume II, in 1986.The final stage is (...) the theory from "Causation as Influence". Lewis introduced a number of subsidiary concepts: causal dependence among families of events, causal dependence among individual events, chancy causal dependence, quasi‐dependence, influence. The chapter presents a family tree of concepts, with causal dependence among families of variables at the trunk. These concepts are developed by Lewis in his attempts to analyze causation, and in his attempts to provide causal accounts of rational decision and dispositions. (shrink)

The notion of emergence has accompanied philosophy of science since the late XIX century, claiming that in some systems there are properties in certain levels that cannot be deduced from properties of their components as seen in more fundamental levels. Throughout the XX century, emergence has been characterized by four pillars: unpredictability, novelty, restriction and downward causation. These four pillars have been related to the assumption of a hierarchical order of reality in different levels of organization. In this paper, (...) we show that it is possible to explain the nature of the emergent properties through the nearly-decomposability criterion introduced by Herbert Simon. (shrink)

Moore is one of the many law theorists who doubt that omissions can operate as factors in the causation of events and that in cases in which potential agents remain passive in spite of an obligation to intervene ascriptions of responsibility are justified exclusively by non-causal factors. The paper argues that this is an uneasy and essentially unstable position. It also shows that Moore himself, in Causation and Responsibility, does not consistently follow his exclusion of a causal role (...) of omission in the context of casuistic analysis. Though Moore is to be praised for the clear stance he takes on the issue of negative causality, an analysis of the reasons given for the negation of causality by omission shows that these do not carry enough weight to compensate the sacrifice in theoretical coherence made by the special treatment of negative responsibility in cases in special obligations. It is proposed, instead, that the fact that responsibility for omissions is, as a rule, weaker than that for positive acts is better explained by non-causal factors such as the significant, though incomplete, correlation of the active-passive distinction with a number of normatively relevant factors and the greater social significance of moral and legal rules against active over against passive forms of wrongdoing. (shrink)

It is commonly assumed that the concept of mechanism is a keytool for the scientific understanding of observable phenomena. However, there is no single definition of mechanism in the current philosophy of science. In fact, philosophers have developed several characterizations of what seemed to be a clear intuitive concept for scientists. In this paper, I will analyze these philosophical conceptions of mechanism, highlighting their problematic aspects and proposing a new mechanistic approach based on the idea that the pertinent levels of (...) organization for a mechanistic explanation can be identified with intervals of quasi-decompositionality. I argue that this approach allows us to consider that activities are directly derived from the entities’ structure. Consequently, a mechanistic explanation implies an arbitrary but not capricious choice of an organizational level. According to this approach, inter-level causation is merely apparent and there is no place for emergent properties. (shrink)

The study seeks to contribute to the concept of semiotic causation by building a nomenclature of effects (interpretants) produced by signs. As a starting point, the suggested approach uses Charles Peirce’s idea that the interpretant itself is a sign that is produced by another sign. From this, the study suggests that Peirce’s ten-fold division of signs can be used as a basis for the division of interpretants and, thus, proposes a nomenclature that distinguishes poti-interpretants (interpretants that are quali-signs), sin-interpretants (...) (interpretants that are sin-signs), and legi-interpretants (interpretants that are legi-signs), also differentiating between iconic, indexical, and symbolic interpretants, as well as rhematic, dicent, and argumentive interpretants. The article uses Peirce’s famous whistle example (EP 2:4–5) to illustrate how the proposed systematics of interpretants works and demonstrates that it aligns well with Peirce’s distinction of feeling, reaction, and thinking, as feeling corresponds to the production of iconic poti-interpretants and iconic sin-interpretants, reaction corresponds to the production of indexical sin-interpretants, and thinking corresponds to the production of legi-interpretants. The article also suggests how the proposed ten-fold systematics of interpretants can be reconciled with Peirce’s original classifications of interpretants, as immediate-dynamical-final interpretants correspond to the triad of poti-, sin-, and legi-interpretants, while emotional-energetic-logical interpretants correspond to the three sub-classes of sin-interpretants, i.e. iconic sin-interpretants, rhematic indexical sin-interpretants, and dicent indexical sin-interpretants. The study then explores how the suggested classification of interpretants can be used to draw distinctions between different kinds of semiosis in different agents. In particular, the study shows how the proposed ten-fold classification can be applied to analyze diverse biosemiotic and anthroposemiotic processes. It also tests how different capacities to produce interpretants can be used to distinguish full-fledged signs from quasi-signs and demonstrates that in some cases of zoösemiosis, as well as in proto-semiosis and tardo-semiosis, the production of symbolic interpretants is diminished. (shrink)

The main line of Lewis's account of causation is in terms of chains of counterfactual dependence. According to his original account, a causal chain is a sequence of two or more events, with counterfactual dependence at each step; and one event is a cause of another if there is a causal chain from one to the other. But some awkward cases involving redundant causation lead him to introduce the notion of quasi-dependence. Laurie Paul has suggested a way (...) of dealing with one important class of these cases in terms of dependence proper. I shall suggest a different way of dealing with this class of cases; I shall also suggest that it is possible to deal with other awkward cases too in terms of dependence proper. (shrink)

How should we deal with apparent causation involving events that have not happened when omissions are cited as causes or when something is said to prevent some event? Phil Dowe claims that causal statements about preventions and omissions are ‘quasi-causal' claims about what would have been a cause, if the omitted event had happened or been caused if the prevention had not occurred. However, one important theory of the logic of causal statements – Donald Davidson's – allows us (...) to take causal statements about omissions and preventions as direct causal statements about events that are counterfactually described. This analysis provides a basis for solving a number of puzzles about ‘negative' events. Any ‘intuition' of difference between causal statements employing such descriptions and others employing positive descriptions of events is also explained. With omissions, where this intuition has some basis, it is shown that nevertheless omissions do really cause outcomes. (shrink)

Stump and Timpe have recently proposed Thomistic based solutions to the traditional problem in Christian theology of how to relate grace and free will. By taking a closer look at the notion of control, I subject Timpe’s account – itself an extension of Stump’s account – to extended critique. I argue that the centrepiece of Timpe’s solution, his reliance on Dowe’s notion of quasi-causation, is misguided and irrelevant to the problem. As a result, Timpe’s account fails to avoid (...) Semi-Pelagianism. I canvass two alternatives, each of which adheres to the broad theological assumptions made by Stump and Timpe, including the positing of only one “unique” grace. I conclude that each of these proposals fails, although I argue that one comes as close as it is possible to get to a solution given the assumptions made. -/- . (shrink)

This paper introduces Deleuze’s philosophy of becoming in a system theoretic framework and proposes an alternative ontological foundation to the study of systems and complex systems in particular. A brief critique of systems theory and the difficulties apparent in it is proposed as an introduction to the discussion. Following is an overview aimed at providing access to the ‘big picture’ of Deleuze’s revolutionary philosophical system with emphasis on a system theoretic approach and terminology. The major concepts of Deleuze’s ontology—difference, virtuality, (...) multiplicity, assemblages, quasi-causation, becoming, intensity and progressive determination are introduced and discussed. Deleuze’s work is a radical departure from the dogma of western philosophy that guides the foundations of science and systems theory. It replaces identity with difference and being with becoming; in other words, it provides systems theory with an ontological ground based on change, heterogeneity and the inexhaustible novelty-producing process that underlies all phenomena. The conceptual tools made available by this philosophy seem to capture the fundamental aspects of complexity and complex systems much better than the current conceptual system that is based on static transcendent ontological entities. (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.

In this paper I will argue that what makes our ordinary judgements about token causation true can be explicated in terms of interferences into quasi-inertial processes. These interferences and quasi-inertial processes can in turn be fully explicated in scientific terms. In this sense the account presented here is reductive. I will furthermore argue that this version of a process-theory of causation can deal with the traditional problems that process theories have to face, such as the problem (...) of misconnection and the problem of disconnection as well as with a problem concerning the mis-classification of pre-emption cases. (shrink)

In response to counterexamples involving late preemption, David Lewis (1986) revised his original (1973) counterfactual analysis of causation to include the notion of quasi-dependence. Jonardon Ganeri, Paul Noordhof and Murali Ramachandran (1998) argue that their ‘PCA*-analysis’ of causation solves the problem of late preemption and is superior to Lewis’s analysis. I show that neither quasi-dependence nor the PCA*-analysis solves the problem of late preemption.

Simon Blackburn has not shied away from the use of vivid imagery in developing, over a long and prolific career, a large-scale philosophical vision. Here one might think, for instance, of ‘Practical Tortoise Raising’ or ‘Ramsey's Ladder’ or ‘Frege's Abyss’. Blackburn develops a ‘quasi-realist’ account of many of our philosophical and everyday commitments, both theoretical (e.g., modality and causation) and practical (e.g., moral judgement and normative reasons). Quasi-realism aims to provide a naturalistic treatment of its targeted phenomena (...) while earning the right to deploy all of the ‘trappings’ of realism—i.e., while eschewing any idea that our normal thought and talk about such phenomena are pervasively in error. The quasi-realist project is that of explaining how (as Huw Price puts it here) ‘the folk come to “talk the realist talk” without committing ourselves—us theorists, as it were—to “walking the metaphysical walk”’ (p. 136). Quasi-realism, too, can speak of truth, facts, properties, belief, knowledge, and so on. The imagery in this collection also abounds, though, in capturing a different view of quasi-realism: No fewer than three of the contributors picture Blackburn as wanting to have his cake and eat it too (Louise Antony asking, in addition, ‘Who doesn't? It's cake’ [p. 19]). (shrink)

What are the metaphysical commitments which best 'make sense' of our scientific practice? In this book, Andreas Hüttemann provides a minimal metaphysics for scientific practice, i.e. a metaphysics that refrains from postulating any structure that is explanatorily irrelevant. Hüttemann closely analyses paradigmatic aspects of scientific practice, such as prediction, explanation and manipulation, to consider the questions whether and what metaphysical presuppositions best account for these practices. He looks at the role which scientific generalisation play in predicting, testing, and explaining the (...) behaviour of systems. He also develops a theory of causation in terms of quasi-inertial processes and interfering factors, and he proposes an account of reductive practices that makes minimal metaphysical assumptions. His book will be valuable for scholars and advanced students working in both philosophy of science and metaphysics. (shrink)

The Neo‐Darwinian concept of natural selection is plausible when one assumes a straightforward causation of phenotype by genotype. However, such simple 1:1 mapping must now give place to the modern concepts of gene regulatory networks and gene expression noise. Both can, in the absence of genetic mutations, jointly generate a diversity of inheritable randomly occupied phenotypic states that could also serve as a substrate for natural selection. This form of epigenetic dynamics challenges Neo‐Darwinism. It needs to incorporate the non‐linear, (...) stochastic dynamics of gene networks. A first step is to consider the mathematical correspondence between gene regulatory networks and Waddington's metaphoric ‘epigenetic landscape’, which actually represents the quasi‐potential function of global network dynamics. It explains the coexistence of multiple stable phenotypes within one genotype. The landscape's topography with its attractors is shaped by evolution through mutational re‐wiring of regulatory interactions – offering a link between genetic mutation and sudden, broad evolutionary changes. (shrink)

Traditionally, Hume has widely been viewed as the standard-bearer for regularity accounts of causation. But between 1983 and 1990, two rival interpretations appeared—namely the skeptical realism of Wright, Craig, and Strawson, and the quasi-realist projectivism of Blackburn—and since then the interpretative debate has been dominated by the contest between these three approaches, with projectivism recently appearing the likely winner. This paper argues that the controversy largely arose from a fundamental mistake, namely, the assumption that Hume is committed to (...) the subjectivity of our conception of causal necessity. That assumption generated tensions within the regularity account, which the skeptical realist and quasi-realist alternatives, in very different ways, purported to resolve. But a broader and more balanced view of the textual evidence, taking due account of the relatively neglected sections where Hume applies the results of his analysis, tells strongly in favour of an objectivist regularity view, both in respect of causation and causal necessity. Despite some complications, the upshot is a far more straightforward reading of Hume than those that have hitherto dominated this long-running debate. (shrink)

This essay introduces two leading Finnish philosophers of the twentieth century, Eino Kaila and Georg Henrik von Wright, who not only established analytic philosophy in Finland but also made original contributions to the development of pragmatism. The pragmatist dimensions of Kaila’s thought were clearly influenced by the classical American pragmatists, primarily William James, whose writings Kaila read and commented on already at an early stage of his career in the 1910s. Kaila then continued to develop a quasi-pragmatist idea of (...) “practical testability” during his logical empiricist period in the 1930s and 1940s. Unlike Kaila, von Wright was never directly inspired by James or any other classical pragmatists, although he did refer to Peirce and James as informal precursors of logical empiricism in the 1940s. His highly original theories of human action and causation, mostly developed in the 1970s, contain interesting pragmatist aspects, however. Both Kaila and von Wright, moreover, shared a life-long engagement with an issue that also troubled all the classical pragmatists: a reconciliation of a “humanist” philosophy with a thoroughgoing appreciation of the natural sciences. Thus, they both developed non-reductive versions of naturalism (or naturalist versions of pragmatist humanism) that, in their emphasis on the disunity of science, were not terribly far from the positions of classical pragmatists like James and Dewey. (shrink)

This article presents a new approach to Japanese Zen Buddhism, alternative to its traditional views, which lack exact definitions of the relation between the meditator and the Buddha’s ultimate cause, dharma. To this end, I offer a comparative analysis between Zen Buddhist and Christian views of causality from the medieval to early modern periods. Through this, human causation with dharma in the Zen Buddhist meditations can be better defined and understood. Despite differences between religious traditions in deliberating human causal (...) accounts, there are parallel ways of thinking and practicing between Christian and Buddhist meditators. Firstly, I reconstruct three sorts of Christian scholastic theories of creaturely causality: conservationism, occasionalism, and concurrentism. Secondly, Zen Buddhist doctrines are introduced by placing particular emphasis on dharma as causal agency. Focusing on the Japanese Zen practice of meditation, finally I expound two theories of human causality: Sōtō Zen quasi-occasionalism following Master Dōgen’s teaching of enlightenment, and Rinzai Zen quasi-concurrentism given the meditator’s interactive kōan practice. Hence, my comparative analysis explains why religious beings are causally active, passive, or interactive in relation to the first agency, God or dharma, whereby systematically establishing alternative definitions of human causality in Zen Buddhism. (shrink)

Riassunto: In questo lavoro mi propongo di mostrare che emozioni reali potrebbero essere causate da oggetti fittizi, offrendo una soluzione per il cosiddetto “paradosso della finzione” e incentrando la mia tesi su una critica alla soluzione finzionalista del problema del “make-believe” di Kendall Walton. A mio parere la validità della distinzione tra emozioni e “quasi-emozioni” deve essere respinta, ammettendo che un oggetto immaginario può suscitare reazioni emotive, anche se l’osservatore non è presente nella scena ed è anche consapevole della (...) non-esistenza dell’oggetto che suscita tali reazioni emotive. Inoltre, cercherò di mostrare come la produzione pornografica può servire come un caso prototipico per mettere in discussione la tesi di Walton. A mio parere l’approccio proposto potrebbe offrire una soluzione per il “paradosso della finzione” basata sulla teoria ontologica dell’oggetto, sostenuta anche da evidenze fornite nel campo delle neuroscienze. Parole chiave: Paradosso della finzione; Kendall Walton; Teoria ontologica dell’oggetto; Empatia; Meccanismi di rispecchiamento neurale Only Crocodile Tears for Han Solo’s Death? Real Emotions for Fictional Objects: In this paper I aim to show that real emotions can be caused by fictional objects, offering a solution to the so-called “paradox of fiction”. My argument focuses on a critique of the fictionalist solution to Kendall Walton’s “make-believe” problem. In my opinion, we should reject the validity of the distinction between emotions and “quasi-emotions” and admit that a fictional object can elicit emotional reactions, even if the observer is not present in the scene and is aware that the object eliciting his emotional response is non-existent. Furthermore, I will try to show how pornographic production can serve as a prototypical case to challenge Walton’s arguments. In my opinion the proposed approach could offer a solution to the “paradox of fiction”: a solution based on ontological object theory and further supported by neuroscientific evidence. Keywords: Paradox of Fiction; Kendall Walton; Ontological Object Theory; Empathy; Neural Mirroring Mechanisms. (shrink)

A classic challenge for any theory of physical causation based on conserved quantities and formulated within the framework of special relativity theory, has been to distinguish two regions, that of genuine causal relationships and that of those spurious or noncausal ones. In the causal processes theory defended by P. Dowe, this is done by introducing a criterion based on the possession of a conserved quantity, which would seem to efficiently demarcate between causal processes and causal pseudoprocesses. However, faced with (...) criticism about the inadequacy of his criteria, Dowe has proposed modifying his physical ontology and introducing, along with processes and pseudo-processes, two types of physical gerrymander entities, both temporal and spatial. In this article, we analyze and criticize, from the perspective of ERT, Dowe’s characterization of these quasi-entities and the theoretical need to make a clear-cut distinction between them. This implies a fundamental modification of Dowe's ontology and raises other doubts about its original motivation. (shrink)

It is widely believed that neural elements interact by communicating messages. Neurons, or groups of neurons, are supposed to send packages of data with informational content to other neurons or to the body. Thus, behavior is traditionally taken to consist in the execution of commands or instructions sent by the nervous system. As a consequence, neural elements and their organization are conceived as literally embodying and transmitting representations that other elements must in some way read and conform to. In opposition (...) to this conception, growing approaches such as enactivism and ecological psychology hold that neurons are not in the business of representing. However, by insisting that neural causation is not of a representational kind, these anti-representationalist approaches seem to be left with only one rather implausible alternative, viz. that behavior is the result of nothing but basic physical causation such as push-pull forces. In this paper it is argued that a third form of causation—termed “modulation”—exists and is at work in the coordination of animal behavior. Modulation is the quasi-direct guidance of dynamical systems through specific yet emerging trajectories. By setting the constraints that coordinate the free interaction of multi-element systems, modulation influences without forcing nor representing goal states. The basic properties of modulatory causation are analyzed and shown to be present in some fundamental aspects of neural and bodily interaction. (shrink)

In this paper, I critically assess different interpretations of Bohmian mechanics that are not committed to an ontology based on the wave function being an actual physical object that inhabits configuration space. More specifically, my aim is to explore the connection between the denial of configuration space realism and another interpretive debate that is specific to Bohmian mechanics: the quantum potential versus guidance approaches. Whereas defenders of the quantum potential approach to the theory claim that Bohmian mechanics is better formulated (...) as quasi-Newtonian, via the postulation of forces proportional to acceleration; advocates of the guidance approach defend the notion that the theory is essentially first-order and incorporates some concepts akin to those of Aristotelian physics. Here I analyze whether the desideratum of an interpretation of Bohmian mechanics that is both explanatorily adequate and not committed to configuration space realism favors one of these two approaches to the theory over the other. Contrary to some recent claims in the literature, I argue that the quasi-Newtonian approach based on the idea of a quantum potential does not come out the winner. (shrink)

When Hempel's "paradox of confirmation" is developed within the confines of conditional probability theory, it becomes apparent that two seemingly equivalent generalities ("laws") can have exactly the same class of observational refuters even when their respective classes of confirming observations are importantly distinct. Generalities which have the inductive supports we commonsensically construe them to have, however, must incorporate quasi-logical operators or connectives which cannot be defined truth-functionally. The origins and applications of these "modalic" concepts appear to be intimately linked (...) with a number of basic conundrums in the philosophy of science, such as causation and the nature of explanation. (shrink)

THE ART OF CAUSAL CONJECTURE Glenn Shafer Table of Contents Chapter 1. Introduction........................................................................................ ...........1 1.1. Probability Trees..........................................................................................3 1.2. Many Observers, Many Stances, Many Natures..........................................8 1.3. Causal Relations as Relations in Nature’s Tree...........................................9 1.4. Evidence............................................................................................ ...........13 1.5. Measuring the Average Effect of a Cause....................................................17 1.6. Causal Diagrams..........................................................................................20 1.7. Humean Events............................................................................................23 1.8. Three Levels of Causal Language................................................................27 1.9. An Outline of the Book................................................................................27 Chapter 2. Event Trees............................................................................................... .....31 2.1. Situations and Events...................................................................................32 2.2. The Ordering of Situations and Moivrean Events.......................................35 2.3. Cuts................................................................................................ ..............39 2.4. Humean Events............................................................................................43 2.5. (...) Moivrean Variables......................................................................................49 2.6. Humean Variables........................................................................................53 2.7. Event Trees for Stochastic Processes...........................................................54 2.8. Timing in Event Trees.................................................................................56 2.9. Intersecting Event Trees...............................................................................60 2.10. Notes on the Literature...............................................................................61 Chapter 3. Probability Trees...........................................................................................63 3.1. Some Types of Probability Trees.................................................................64 ii 3.2. Axioms for the Probabilities of Moivrean Events.......................................68 3.3. Zero Probabilities....................................................................................... ..70 3.4. A Sample-Space Analysis of the Event-Tree Axioms.................................72 3.5. Probabilities and Expected Values for Variables.........................................74 3.6. Martingales......................................................................................... .........79 3.7. The Expectation of a Variable in a Cut........................................................83 3.8. Conditional Expected Value and Conditional Expectation.........................87 Chapter 4. The Meaning of Probability...........................................................................91 4.1. The Interpretation of Expected Value..........................................................92 4.2. The Interpretation of Expectation................................................................95 4.3. The Long Run..............................................................................................98 4.4. Changes in Belief.........................................................................................101 4.5. The Empirical Validation of Probability......................................................106 4.6. The Diversity of Uses of Probability...........................................................108 4.7. Notes on the Literature.................................................................................110 Chapter 5. Independent Events.......................................................................................113 5.1. Independence........................................................................................ .......114 5.2. Weak Independence.....................................................................................118 5.3. The Principle of the Common Cause...........................................................121 5.4. Conditional Independence............................................................................128 5.5. Notes on the Literature.................................................................................133 Chapter 6. Events Tracking Events.................................................................................135 6.1. Tracking............................................................................................ ...........137 6.2. Tracking and Conditional Independence.....................................................142 6.3. Stochastic Subsequence...............................................................................143 6.4. Singular Diagrams for Stochastic Subsequence...........................................147 6.5. Conjunctive and Interactive Forks...............................................................149 Chapter 7. Events as Signs of Events..............................................................................153 iii 7.1. Sign................................................................................................ ..............154 7.2. Weak Sign................................................................................................ ....159 7.3. The Ethics of Causal Talk............................................................................160 7.4. Screening Off...............................................................................................16 2 Chapter 8. Independent Variables...................................................................................167 8.1. Unconditional Independence........................................................................170 8.2. Conditional Independence............................................................................175 8.3. Independence for Partitions.........................................................................177 8.4. Independence for Families of Variables......................................................182 8.5. Individual Properties of the Independence Relations...................................186 Chapter 9. Variables Tracking Variables........................................................................189 9.1. Tracking and Conditional Independence: A Summary...............................190 9.2. Strong Tracking............................................................................................ 192 9.3. Strong Tracking and Conditional Independence..........................................198 9.4. Stochastic Subsequence...............................................................................201 9.5. Functional Dependence................................................................................203 9.6. Tracking in Mean.........................................................................................204 9.7. Linear Tracking............................................................................................ 207 9.8. Tracking by Partitions..................................................................................210 9.9. Tracking by Families of Variables...............................................................212 Chapter 10. Variables as Signs of Variables...................................................................215 10.1. Sign................................................................................................ ............219 10.2. Linear Sign................................................................................................ .222 10.3. Scored Sign................................................................................................ 225 10.4. Families of Variables.................................................................................227 Chapter 11. AnTheory of Event Trees.............................................................229 11.1. Event Trees as Sets of Sets........................................................................230 11.2. Event Trees as Partially Ordered Sets........................................................232 iv 11.3. Regular Event Trees...................................................................................240 11.4. The Resolution of Moivrean Variables......................................................244 11.5. Humean Events and Variables...................................................................246 Chapter 12. Martingale Trees..........................................................................................247 12.1. Examples of Decision Trees......................................................................249 12.2. The Meaning of Probability in a Decision Tree.........................................253 12.3. Martingales......................................................................................... .......257 12.4. The Structure of Martingale Trees.............................................................261 12.5. Probability and Causality...........................................................................265 12.6. Lower and Upper Probability.....................................................................269 12.7. The Law of Large Numbers.......................................................................272 12.8. Notes on the Literature...............................................................................274 Chapter 13. Refining............................................................................................ ...........275 13.1. Examples of Refinement............................................................................277 13.2. A Constructive Definition of Finite Refinement.......................................281 13.3. Axioms for Refinement..............................................................................282 13.4. Lifting Moivrean Events and Variables.....................................................288 13.5. Refining Martingale Trees.........................................................................288 13.6. Grounding........................................................................................... .......294 Chapter 14. Principles of Causal Conjecture..................................................................299 14.1. The Diversity of Causal Explanation.........................................................302 14.2. The Mean Effect of the Happening of a Moivrean Event..........................305 14.3. The Effect of a Humean Variable..............................................................311 14.4. Attribution and Generality.........................................................................316 14.5. The Statistical Measurement of the Effect of a Cause...............................319 14.6. Measurement by Experiment.....................................................................320 14.7. Using Our Knowledge of How Things Work............................................322 v 14.8. Sampling Error...........................................................................................329 14.9. The Sampling Frame..................................................................................329 14.10. Notes on the Literature.............................................................................330 Chapter 15. Causal Models.............................................................................................3 31 15.1. The Causal Interpretation of Statistical Prediction....................................333 15.2. Generalizing to a Family of Exogenous Variables....................................337 15.3 Some Joint Causal Diagrams......................................................................339 15.4. Causal Path Diagrams................................................................................342 15.5. Causal Relevance Diagrams.......................................................................346 15.6. The Meaning of Latent Variables..............................................................352 15.7. Notes on the Literature...............................................................................357 Chapter 16. Representing Probability Trees...................................................................359 16.1. Three Graphical Representations...............................................................361 16.2. Skeletal Simplifications.............................................................................368 16.3. Martingale Trees in Type Theory...............................................................371 Appendix A. Huygens’s Probability Trees.....................................................................379 Huygens’s Manuscript in Translation..................................................................380 Appendix B. Some Elements of Graph Theory..............................................................385 B1. Undirected Graphs........................................................................................385 B2. Directed Graphs............................................................................................38 6 Appendix C. Some Elements of Order Theory...............................................................393 C1. Partial and Quasi Orderings.........................................................................393 C2. Singular and Joint Diagrams for Binary Relations.......................................394 C3. Lattices............................................................................................ .............395 C4. The Lattice of Partitions of a Set..................................................................396 Appendix D. The Sample-Space Framework for Probability.........................................399 D1. Probability Measures....................................................................................399 D2. Variables........................................................................................... ...........400 vi D3. Families of Variables...................................................................................401 D4. Expected Value............................................................................................402 D5. The Law of Large Numbers.........................................................................405 D6. Conditional Probability................................................................................406 D7. Conditional Expected Value........................................................................407 Appendix E. Prediction in Probability Spaces................................................................409 E1. Conditional Distribution...............................................................................411 E2. Regression on a Single Variable...................................................................412 E3. Regression on a Partition or a Family of Variables......................................415 E4. Linear Regression on a Single Variable.......................................................418 E5. Linear Regression on a Family of Variables................................................422 Appendix F. Sample-Space Concepts of Independence.................................................425 F1. Overview............................................................................................ ...........426 F2. Independence Proper.....................................................................................432 F3. Unpredictability in Mean..............................................................................434 F4. Simple Uncorrelatedness..............................................................................437 F5. Mixed Uncorrelatedness...............................................................................438 F6. Partial Uncorrelatedness...............................................................................440 F7. Independence for Partitions..........................................................................442 F8. Independence for Families of Variables.......................................................445 F9. The Basic Role of Uncorrelatedness.............................................................448 F10. Dawid’s Axioms.........................................................................................449 Appendix G. Prediction Diagrams..................................................................................453 G1. Path Diagrams............................................................................................ ..454 G2. Generalized Path Diagrams..........................................................................462 G3. Relevance Diagrams.....................................................................................466 G4. Bubbled Relevance Diagrams......................................................................475 Appendix H. Abstract Stochastic Processes...................................................................479 vii H1. Probability Conditionals and Probability Distributions...............................477 H2. Abstract Stochastic Processes......................................................................479 H3. Embedding Variables and Processes in a Sample Space.............................480 References.......................................................................................... ..............................491. (shrink)

We provide a formally rigorous framework for integrating singular causation, as understood by Nuel Belnap's theory of causae causantes, and objective single case probabilities. The central notion is that of a causal probability space whose sample space consists of causal alternatives. Such a probability space is generally not isomorphic to a product space. We give a causally motivated statement of the Markov condition and an analysis of the concept of screening-off. 1. Causal dependencies and probabilities1.1Background: causation in branching (...) space-times1.2What are probabilities defined for?2. Basic transitions2.1Basics of basic transitions2.2Sets of basic transitions3. Causal probability theory3.1Some simple cases3.2General causal probabilities3.3Application: probability of suprema of a chain. (shrink)

In recent years, biologists and philosophers of science have argued that evolutionary theory should incorporate more seriously the idea of ‘reciprocal causation.’ This notion refers to feedback loops whereby organisms change their experiences of the environment or alter the physical properties of their surroundings. In these loops, in particular niche constructing activities are central, since they may alter selection pressures acting on organisms, and thus affect their evolutionary trajectories. This paper discusses long-standing problems that emerge when studying such reciprocal (...) causal processes between organisms and environments. By comparing past approaches to reciprocal causation from the early twentieth century with contemporary ones in niche construction theory, we identify two central reoccurring problems: All of these approaches have not been able to provide a conceptual framework that allows maintaining meaningful boundaries between organisms and environments, instead of merging the two, and integrating experiential and physical kinds of reciprocal causation. By building on case studies of niche construction research, we provide a model that is able to solve these two problems. It allows distinguishing between mutually interacting organisms and environments in complex scenarios, as well as integrating various forms of experiential and physical niche construction. (shrink)

Kaplan and Craver :601–627, 2011) and Piccinini and Craver :283–311, 2011) argue that only mechanistic explanations of cognition are genuine causal explanations, because only evidence of mechanisms reveals the causal structure of cognition. I first argue that this claim is grounded in a commitment to the mechanistic account of causality, which cannot be endorsed by a defender of causal-nonmechanistic explanations. Then, I defend the epistemic theory of causality, which holds that causal explanations are not genuine to the extent that they (...) reveal mechanistic causal structure, but, rather, to the extent that they have evidential support and yield successful prediction, explanation, and control inferences. Finally, I enact an epistemic unification of causal explanation in cognitive science, according to which both mechanistic and nonmechanistic explanations of cognition can be genuine causal explanations. (shrink)

This paper details the ontological and epistemic character of activties that occur in mechanisms. It explains why they are sufficient to handle the problems of causation.