This paper compares the relative merits of two alternatives to traditional accounts of causal explanation: Jim Woodward's counterfactual invariance account, and the Mechanistic account of Machamer, Darden, and Craver. Mechanism wins (a) because we have good causal explanations for chaotic effects whose production does not exhibit the counterfactual regularities Woodward requires, and (b)because arguments suggested by Belnap's and Green's discussion of prediction (in'Facing the Future' chpt 6)show that the relevant counterfactuals about ideal interventions on non-deterministic and deterministic systems (...) lack truth value. (shrink)

Causation appears to present us with an interpretative difficulty. While arguably a redundant relation given fundamental physics, it is nevertheless apparently pragmatically indispensable. This chapter revisits certain arguments made previously by the author for these claims with the benefit of hindsight, starting with the role of causal models in the human sciences, and attempting to explain why it is not possible to straightforwardly ground such models in fundamental physics. This suggests that further constraints, going beyond physics, are needed to (...) legitimate such models. These supplementary constraints could be reified, but that would seem to conflict with the completeness of physics. A response is to emphasize the practical role of causal talk, and the author suggests that a fictionalist approach might be worth exploring. After clarifying fictionalism as a general approach, they carry out in some detail the project of clarifying what a fictionalist attitude to causation would involve. (shrink)

This book offers a discussion about how people think, talk, learn, and explain things in causal terms in terms of action and manipulation. Sloman also reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgement, categorization, inductive inference, language, and learning.

The paper defends a combination of perdurantism with mereological universalism by developing semantics of temporary predications of the sort ’some P is/was/will be (a) Q’. We argue that, in addition to the usual application of causal and other restrictions on sortals, the grammatical form of such statements allows for rather different regimentations along three separate dimensions, according to: (a) whether ‘P’ and ‘Q’ are being used as phase or substance sortal terms, (b) whether ‘is’, ‘was’, and ‘will be’ are (...) the ‘is’, ‘was’, ‘will be’ of identity or of constitution, and (c) whether ‘Q’ is being used as a subject or predicate term. We conclude that this latitude is beneficial, as it conforms with linguistic reality (i.e., the multiple uses actually in place) and also enables one to turn what is ordinarily perceived as a problem for universalist perdurantism viz., a commitment to all sorts of weird and gerrymandered temporally extended entities, into an advantage, for the richness in questions allows us to make sense of. (shrink)

Talk of powers is muddled. Building upon Powers and capacities in philosophy: The new aristotelianism, Routledge, London, 2012a, pp 207–227), I disambiguate four senses of the term: powers construed as activity, as capacity/potentiality, as essence and as necessity, respectively, in an attempt to clarify what it is that realists about causal powers take themselves to be realists about.

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)

The aim of this talk unpublished until now, and that constitutes the last contribution of the author to this topic, is to show how Hans Reichenbach’s work “Die Kausalstruktur der Welt und der Unterschied zwischen Vergangenheit und Zukunft” , published in 1925, and significantly expanded and revised in the posthumously published book in 1956, The Direction of Time, inspires substantially part of the work that is carried out in the domain of causality at the beginning of the twenty first (...) century. (shrink)

George Berkeley's Siris (1744) has been a neglected work, for many reasons. Some of them are good and some bad. The book is difficult to decipher, mainly because of its ancient metaphysics. He talks about the world as an animal or plant. He speculates about man as a microcosm which is analogous to the universe as a macrocosm. He recommends tar-water as a universal medicine. This was understandable in his own time. But Siris is also a Newtonian treatise which both (...) criticizes and develops important physical and chemical theories. Berkeley's own contribution is formulated in terms of light and fire. I study these arguments in detail. It is also clear that Siris is no longer an immaterialist treatise. The doctrine of ideas is not so important to him any more. However, he never changed his doctrine of causality. I analyze several versions of it. This looks like his lasting main contribution to the philosophy of science. And causality is also theologically crucial, as I try to show. We must keep in mind the fact that Berkeley might have been interesting in the contemporary science, but he insisted that science must ultimately be ruled by religion. Science is never an autonomous or sovereign field of human enterprise. (shrink)

Causal eliminativists maintain that all causal talk is false. The prospects for such a view seem to be stymied by an indispensability argument, charging that any agent must distinguish between effective and ineffective strategies, and that such a distinction must commit that agent to causal notions. However, this argument has been under-explored. The contributions of this paper are twofold: first, I provide a thorough explication of the indispensability argument and the various ways it might be defended. (...) Second, I point to an important limitation in the argument and suggest that it does not give us sufficient reason to reject eliminativism. In support of this last claim, I show that the distinction between effective and ineffective strategies could perfectly well be grounded in a counterfactual rather than a causal decision theory and argue that there are fully adequate explanations of how we could come to make the requisite counterfactual judgments that need not invoke causal concepts. (shrink)

The evolutionary emergence of biological processes in organisms with inner, qualitative aspects has not been explained in any sufficient way by neurobiology, nor by the traditional neo-Darwinian paradigm — natural selection would appear to work just as well on insentient zombies (with the right behavioral input-output relations) as on real sentient animals. In consciousness studies one talks about the ‘hard problem’ of qualia. In this paper I sketch a set of principles about sign action, causality and emergent evolution. On the (...) basis of these principles, I characterize a concept of cause that would allow for a naturalistic explanation of the origin of consciousness. The suggested account of causation also turns the ‘hard problem’ of qualia into the easier problem of relating experimental biology to experiential biology. (shrink)

The idea of God’s action in history was prominent in the Biblical theology of the past generation. This theology was generally opposed to philosophic explication of its doctrine of God, and consequently it is difficult to say just what it meant by divine action. In any case, that movement faded and, with it, talk of God’s acts.

People frequently report that, at times, their thought has a vocal character. Thinking commonly appears to be accompanied or constituted by silently ‘talking’ to oneself in inner speech. In this paper, we explore the specifically epistemic role of inner speech in conscious reasoning. A plausible position—but one I argue is ultimately wrong—is that inner speech plays asolelyfacilitative role that is exhausted by (i) serving as the vehicle of representation for conscious reasoning, and/or (ii) allowing one to focus on certain types (...) of objects or relations, e.g., causal relations, abstracta, counterfactuals, etc., or to consciously entertain structured propositional contents that it would be hard (or impossible) to focus on or entertain with representations in other (e.g., imagistic) formats. According to this position, inner speech doesn't figure as a justificatory element in our reasoning or as the partial epistemic basis of our conclusions—it merely facilitates reasoning through (i) and/or (ii). In contrast to the view that inner speech is amerefacilitator, I establish that (outside of potentially playing roles (i) and/or (ii)) the language we use itself serves as a crucial source of information in reasoning. In other words, we reason from propositions about the language we use in inner speech as opposed to exclusively reasoning from the semantic contents of the speech. My conclusion follows from how we use language as a cognitive tool to keep track of information, e.g., the contents of premises, lemmas, previous reasoning results, etc., in reasoning. (shrink)

In previous work I have argued that talk about negative events should not be taken at face value: typically, what we are inclined to think of as a negative event (John’s failure to go jogging) is just an ordinary, positive event (his going to the movie instead); it is a positive event under a negative description. Here I consider more closely the difficulties that arise in those cases where no positive event seems available to do the job, as with (...) putative cases of causation by omission. In particular, I elaborate on Helen Beebee’s idea that not all causal explanations are reports of causation. When we mention John’s failure to turn off the gas as an explanans of why there was an explosion, we do not say what caused the explosion. We do not mention any of the relevant causes. We just remark that one sort of event that was supposed to occur, and whose occurrence would have prevented the explosion, did not in fact occur. (shrink)

Let’s consider the following paradox (Fodor [1989], Jackson and Petit [1988] [1992], Drestke [1988], Block [1991], Lepore and Loewer [1987], Lewis [1986], Segal and Sober [1991]): i) The intentional content of a thought (or any other intentional state) is causally relevant to its behavioural (and other) effects. ii) Intentional content is nothing but the meaning of internal representations. But, iii) Internal processors are only sensitive to the syntactic structures of internal representations, not their meanings. Therefore it seems that if we (...) want to defend the idea -absolutely plausible from an intuitive point of view- that mental / intentional states are causally responsible for behavioural outputs and we want to do it on the physicalist basis of any scientific methodology, we will have to give up the conviction that such intentional states qua intentional, i. e. as having a particular meaning, are the ones causally responsible for our behaviour. The path that takes us to mental epiphenomenalism is clear: 1) the causal powers of any event are completely determined by its physical properties; 2) although intentional properties supervene on physical properties, they can’t be identified with them; 3) intentional properties, as intentional, are not causally responsible for behaviour, because they don’t take part in the causal powers of the states to which they belong, i. e., intentional properties are epiphenomenal. Let’s consider now a different yet parallel position to the one just described. There is an important debate in cognitive science about whether the class of mechanisms to which we belong and which the computational modelling project of cognitive processes refers to is best represented by classical or connectionist approaches (McClelland, Rumelhart et. al [1986], Smolensky [1987] [1988], Fodor and Pylyshyn [1988], Pinker and Prince [1988], Clark [1989], Ramsey, Stich and Rumelhart [1991], Clark and Karmiloff-Smith [forthcoming]).In classical, serial processing models, information is encoded in terms of rules that have a linguistic character. In connectionist or parallel distributed processing (PDP) models, the causal relationships among the units that constitute the system determine how the information is processes by the network, although these units don’t have a direct semantic interpretation. But, for both, classical and connectionist models, all the computations can be explained without any reference to the content of the processed information, i.e., in both cases the properties that seem to be responsible for the system’s behaviour are ultimately physical properties nor intentional ones. This situation mirrors thus, within cognitive science, the philosophical discussion concerning the causal efficacy of semantic properties. Now, if in this debate we opt for the classical paradigm, there is a way of finding a solution to the computational version of the epiphenomenalism paradox. This solution is based mainly on the notion of supervenience or, more precisely, on the notion of mereological supervenience (Kim [1984] [1988])1 . The idea of intentional properties supervening on physical properties makes sense within the classical context because there exists an easily isolable supervenience base comprising the syntactic items in the socalled language of thought. But, what happens if we opt for the connectionist paradigm?. The situation here doesn’t seem to favour the use of the same supervenience strategy. For it has been argued (Ramsey, Stich and Garon [1991]) that beliefs, desires, and other mental states are nor, in the connectionist paradigm, individuable as weight or activation states of the system. This is because information is encoded by the network in distributed and superpositional representations, i.e., there are no straightforwardly isolable vehicles at the physical level that can be identified as the articulated supervenience base on which the semantic properties supervene2 . If this is true, then the connectionist not only loses the battle against epiphenomenalism but more drastically, seems to offer a standing invitation to eliminativism, since talk of beliefs and desires, etc. now seems to be floating free of any acceptable scientific underpinning, i.e., she has lost the necessary theoretical apparatus for supporting the intuitive idea that propositional attitudes -beliefs, desires and any mental states with semantic content- are physically realized. This second line of argumentation doesn’t take us to a paradox but to a dilemma: either we accept eliminativism, if connectionist hypothesis are correct or we defend the causal efficacy of mental states with semantic content by showing that, after all, connectionist networks are not plausible cognitive models (Davies [1991]). From my point of view, however, both lines of argumentation need to be revised. The aim of this paper is to find an account of the causal efficacy of content that avoids the aforementioned epiphenomenalist objections and that doesn’t require the discovery of inner symbols in the computational modelling of such contentful mental states. In short, the aim is to find a meeting point where a philosophical story about content and cause and the connectionist computational model can be brought together (Cfr. Clark [1989]). (shrink)

Questions about the nature of the relationship between language and extralinguistic cognition are old, but only recently has a new view emerged that allows for the systematic investigation of claims about linguistic structure, based on how it is understood or utilized outside of the language system. Our paper represents a case study for this interaction in the domain of event semantics. We adopt a transparency thesis about the relationship between linguistic structure and extralinguistic cognition, investigating whether different lexico-syntactic structures can (...) differentially recruit the visual causal percept. A prominent analysis of causative verbs like move suggests reference to two distinct events and a causal relationship between them, whereas non-causative verbs like push do not so refer. In our study, we present English speakers with simple scenes that either do or do not support the perception of a causal link, and manipulate (between subjects) a one-sentence instruction for the evaluation of the scene. Preliminary results suggest that competent speakers of English are more likely to judge causative constructions than non-causative constructions as true of a scene where causal features are present in the scene. Implications for a new approach to the investigation of linguistic meanings and future directions are discussed. (shrink)

In this chapter we examine the relationship between biological information, the key biological concept of specificity, and recent philosophical work on causation. We begin by showing how talk of information in the molecular biosciences grew out of efforts to understand the sources of biological specificity. We then introduce the idea of ‘causal specificity’ from recent work on causation in philosophy, and our own, information theoretic measure of causal specificity. Biological specificity, we argue, is simple the causal (...) specificity of certain biological processes. This, we suggest, means that causal relationships in biology are ‘informational’ relationships simply when they are highly specific relationships. Biological information can be identified with the storage, transmission and exercise of biological specificity. It has been argued that causal relationships should not be regarded as informational relationship unless they are ‘arbitrary’. We argue that, whilst arbitrariness is an important feature of many causal relationships in living systems, it should not be used in this way to delimit biological information. Finally, we argue that biological specificity, and hence biological information, is not confined to nucleic acids but distributed among a wide range of entities and processes. (shrink)

Since the late nineties there has been an increased interested in probabilistic logic learning, an area within AI that combines machine learning with logic-based knowledge representation and uncertainty reasoning. Several different formalisms for combining first-order logic with probability reasoning have been proposed, and it has been studied how models in these formalisms can be automatically learned from data. -/- This talk starts with a brief introduction to probabilistic logic learning, after which we will focus on a relatively new formalism (...) known as CP-logic. CP-logic stands for “causal probabilistic logic”. It is a knowledge representation formalism that allows us to write down rules that indicate that a certain combination of conditions may cause certain effects with a particular probability (e.g., tossing a coin may cause a result of heads or tails, each with 50% probability). Besides the fact that this formalism is interesting for knowledge representation in itself, it also offers interesting opportunities from the machine learning point of view. Indeed, given the semantics of these CP-logic programs, learning them from data amounts to extracting probabilistic causal influences from data. We will discuss recent research on learning CP-logic programs, including: algorithms for learning them; how they relate to graphical models; and applications of learning CP-logic programs. (shrink)

G.H. Mead and A.N. Whitehead agree that all causation occurs in a present, that the self is social, and that philosophical description of the new physics of relativity and quantum mechanics is a complicated task. I explore this complexity in relation to the knowledge of events unable to be observed here and now, especially past historical events. The integration of the two philosophers’ views is shown in reference to Whitehead’s criteria of respect for facts and coherence. By reference to the (...) work of Palmyre Oomen I show the inconsistency of Whitehead’s treatment of the prehensibility of God’s consequent nature with his claim that God is not an exception to the metaphysical principles. The integration of Mead’s and Whitehead’s views permits plausible talk about past, present, and future consisent with our scientific knowledge. (shrink)

In a pair of articles (1996, 1997) and in his recent book (1998), Miklos Redei has taken enormous strides toward characterizing the conditions under which relativistic quantum field theory is a safe setting for the deployment of causal talk. Here, we challenge the adequacy of the accounts of causal dependence and screening off on which rests the relevance of Redei's theorems to the question of causal good behavior in the theory.

Neoliberal globalization has not yielded the results it promised; global inequality has risen, poverty and hunger are still prevailing in large parts of this world. If this devastating situation shall be improved, economists must talk less about economic growth and more about people's rights. The use of the language of rights will be key for making the economy work more in favor of the least advantaged in this world. Not only will it provide us with the vocabulary necessary to (...) reframe such pressing global problems and to find adequate economic solutions; it will also deliver the basis for deriving according duties and duty-bearers - the language of rights is congruent with the language of justice and as such it is inevitably and at the same time the language of obligations. The language of obligations exposes the multinational corporation as one of the main agents of justice in the global economy. Taking distributive justice as a starting point for reflection, a consistent derivation of the multinational's moral obligations must focus on capabilities rather than on causality. This will lead to a shift from merely passive to active duties and accordingly to a stronger emphasis on the corporation's contribution to the realization of positive rights. (shrink)

Humeans and non-Humeans reasonably agree that there may be necessary connections between entities that are identical or merely partly distinct—between, e.g., sets and their individual members, fusions and their individual parts, instances of determinates and determinables, members of certain natural kinds and certain of their intrinsic properties, and (especially among physicalists) certain physical and mental states. Humeans maintain, however, that as per “Hume’s Dictum”, there are no necessary connections between entities that are wholly distinct;1 and in particular, no necessary (...) class='Hi'>causal connections between such entities (even when the background conditions requisite for causation are in place). The Humean’s differential treatment appears principled, in reflecting that commonly accepted necessary connections involve constitutional relations, whereas wholly distinct entities (notably, causes and effects) do not constitute each other. I’ll argue, however, that the appearance of principle is not genuine, as per the following conditional: Constitutional→Causal: If one accepts certain constitutional necessities, one should accept certain causal necessities. This result provides needed leverage in assessing the two main frameworks in the metaphysics of science, treating natural kinds, causes, laws of nature, and the like. These frameworks differ primarily on whether Hume’s Dictum is taken as a working constraint on theorizing; and it has proved difficult for either side to criticize the other without presupposing their preferred stance on the dictum, hence talking past one another. The arguments for Constitutional→Causal are based, however, in general and independent considerations about what facts in the world might plausibly warrant our beliefs in certain constitutional necessities involving broadly scientific entities. The Humean can respond to these arguments, which reveal a deep tension in their view, at attendant costs of implausibilty and adhocery. The non-Humean framework doesn’t face any such tension between constitutional and causal necessities, however, and so in this respect comes out ahead. (shrink)

I examine the feminist epistemic values in science, presented by Helen Longino, and their role in framing microbiome causality in the study of inflammatory bowel disease (IBD). In particular, I show how values presented as feminist give an alternative view in scientific theories—focusing on ontological heterogeneity and mutuality of interactions rather than simplicity and one causal direction—when looking at relations between organisms and microorganisms, and between organisms (particularly humans) and their environment. I identify two approaches in microbiome study, an (...) immunological approach that looks at the microbiome pathogenicity and an ecological approach that studies the microbial activity and functions. I show the puzzles stemming from the traditional background beliefs of the immune self and germ theory in the study of IBD causality. Furthermore, I argue for the benefits of a shift to the ecological view of body-microbe interrelations. I conclude with the benefits and advantages of feminist values over traditional ones, both in creating new ways of understanding organisms’ physiology and immune systems and for future biomedical studies involving microbiome causality. (shrink)

Studying human beings as physicists have studied the world for so many years has been the aim of a substantial number of social scientists at least since the time of Comte. Basing their claim upon a certain metaphysics and anthropology, such thinkers have insisted over and over again that such a program is at least theoretically possible. But can a program, which cannot be put into practice on even a very rudimentary level, really be theoretically possible in the first place? (...) Physicists have known that space travel was theoretically possible ever since the seventeenth century and have made steady progress towards its implementation up until its recent fulfillment. Instead of making progress, however, the social scientists are still talking about what they are going to do some day when they acquire the tools for doing it. Even this would not be so bad, provided they knew exactly what kind of tools they needed and how to manufacture them. Today, though, even this pre-preliminary stage has not been brought to a successful conclusion. Some thinkers among the ranks of social scientists, however, are beginning to see their way clear to a better understanding of their collective predicament. H M Blalock Jr., professor of Sociology at the University of North Carolina, appears to be one of these thinkers. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:141 HUME AND CAUSAL INFERENCE Hume held that any time we reach by inference a belief about the existence or qualities of some object or event that we have not actually perceived, the inference is grounded in beliefs about causal relations holding between the object of belief and some other object or objects that have actually been experienced. I will examine here Hume's account of such (...) class='Hi'>causal inferences. There are many places in the Treatise of Human Nature at which Hume seems to claim that causal inferences take place when and only when the percipient has had an extensive previous experience of objects of the respective types as regularly conjoined in relations of contiguity and temporal priority. It seems to me that reliance on these passages alone gives a distorted view of Hume's theory of causal inference. Contrary to appearances, Hume did not hold that extensive previous experiences of objects of the same types as properly conjoined is either necessary or sufficient for causal inference. Hume's view is more subtle and complicated, and there are important considerations of coherence and holism present in it. Getting Hume's view on this matter clear is important because it shows how he can escape some of the objections that have been laid against his theory, and it makes possible a reading of Hume as a causal realist. Hume's theory of inference provides the resources for drawing a distinction between accidental and genuine causal regularities and it is compatible with the view that causal relations (and not mere de facto regularities) hold among events in the world independently of their being perceived. The examination begins by looking at a different, but related, issue. Why does Hume think 142 that of the three types of association, only cause and effect association is capable of producing belief? Hume puts the question in the form of a possible objection to his account. For it may be said, that if all the parts of that hypothesis be true, viz. that these three species of relation are deriv'd from the same principles; that their effects in inforcing and inlivening our ideas are the same; and that belief is nothing but a more forcible and vivid conception of an idea; it shou'd follow, that that action of the mind may not only be deriv'd from the relation of cause and effect, but also from those of contiguity and resemblance. But as we find by experience, that belief arises only from causation, and that we can draw no inference from one object to another, except they be connected by this relation, we may conclude, that there is some error in that reasoning, which leads us into such difficulties. (T 107) It is important to note that Hume is talking here only about beliefs about the existence or situations of objects that have not been intuited or experienced. Beliefs about relations of ideas (e.g., that 2 + 2 = 4) are intuitions (or perhaps memories 2 of intuitions). Beliefs in the existence of things as experienced or in the previous existence of things as previously experienced automatically have the 3 vivacity of impressions or memory ideas. What Hume takes himself to need to explain is why cause and effect association allows for a transfer of this vivacity to an idea of an object or situation that has not itself been intuited or experienced and why 4 resemblance and contiguity association do not. If I see a green ball next to a red sweater, then I will normally subsequently believe that the green ball existed next to the red sweater at that time (at 143 least until my memories begin to lose vivacity). This is purely a matter of sense experience and memory. Now if I subsequently see a different red sweater (or the same sweater in a different location), I may be led to think of a green ball existing next to it purely through contiguity and resemblance association. But presumably I would not believe that a green ball existed next to the currently perceived red sweater unless I currently perceived a green ball or my belief was based on some 5 form of causal inference... (shrink)

Discontented people might talk of corruption in the Commons, closeness in the Commons and the necessity of reforming the Commons, said Mr. Spenlow solemnly, in conclusion; but when the price of wheat per bushel had been the highest, the Commons had been the busiest; and a man might lay his hand upon his heart, and say this to the whole world, – ‘Touch the Commons, and down comes the country!’.

In lieu of an abstract, here is a brief excerpt of the content:Wittgenstein on Non-Mediative CausalityJames C. KlaggeIn the late autumn of 1947 Wittgenstein dictated a selection of manuscript material to a typist1 that contains some remarks so striking that they merit extensive quotation:903. No supposition seems to me more natural than that there is no process in the brain correlated with associating or with thinking; so that it would be impossible to read off thought-processes from brain-processes. I mean this: (...) if I talk or write there is, I assume, a system of impulses going out from my brain and correlated with my spoken or written thoughts. But why should the system continue further in the direction of the centre? Why should this order not proceed, so to speak, out of chaos? The case would be like the following—certain kinds of plants multiply by seed, so that a seed always produces a plant of the same kind as that from which it was produced—but nothing in the seed corresponds to the plant which comes from it; so that it is impossible to infer the properties or structure of the plant from those of the seed that it comes out of—this can only be done from the history of the seed. So an organism might come into being even out of something quite amorphous, as it were causelessly; and there is no reason why this should not really hold for our thoughts, and hence for our talking and writing. (Zettel 608)904. It is thus perfectly possible that certain psychological phenomena cannot be investigated physiologically, because physiologically nothing corresponds to them. (Z 609)905. I saw this man years ago; now I have seen him again, I recognize him, I remember his name. And why does there have to be a cause of this remembering in my nervous system? Why must something or other, whatever it may be, be stored-up there in any form? Why must a trace have been left behind? Why should there not be a psychological regularity to which no physiological regularity corresponds? If this upsets our concepts of causality, then it is high time they were upset. (Z 610) [End Page 653]906. The prejudice in favor of psycho-physical parallelism is also a fruit of the primitive conception of grammar. For when one admits a causality between psychological phenomena, which is not mediated physiologically, one fancies that in doing so one is making an admission of the existence of a soul alongside the body, a ghostly soul-nature. (cf. Z 611)909. Why should not the initial and terminal states of a system be connected by a natural law, which does not cover the intermediary state? (Only don’t think of efficacy/influence [Wirkung]!) (Z 613)918. …Well—but now that the structure of the eye is known—how does it come about that we act, react, in this way? But must there be a physiological explanation here? Why don’t we just leave explaining alone?—But you would never talk like that, if you were examining the behavior of a machine!—Well, who says that a living creature, an animal body, is a machine in this sense?— (Z 614)Lest you think, or hope, these ideas were just a passing fancy of Wittgenstein’s, it is worth noting that these passages were among the ones that he cut from this typescript to save in a box and rearrange and perhaps revise for future use. They were published posthumously as Zettel.2What are we to make of these striking ideas? Do they hint at “mystical vitalism”? Is there an intellectual trajectory along which they can be located and appreciated, even if perhaps ultimately rejected? Or is he simply making a “natural” objection to reductionism about memory?3In an earlier publication I briefly offered a motivation for these views,4 but I now have more to say and wish to try again. Earlier I saw these passages primarily in relation to Wittgenstein’s other views about mental phenomena, but I now think something can be gained by seeing them in relation to his views about causality. Unfortunately causality is not a topic about which Wittgenstein had... (shrink)

In a pair of articles and in his recent book, Miklos Redei has taken enormous strides toward characterizing the conditions under which relativistic quantum field theory is a safe setting for the deployment of causal talk. Here, we challenge the adequacy of the accounts of causal dependence and screening off on which rests the relevance of Redei's theorems to the question of causal good behavior in the theory.

This is a wonderful book; indeed, it is easily one of the most important and creative books I have ever read on the subject of causation and causal inference. Causality is impressive on many levels and should be of great interest to many different audiences. Philosophers will find of particular interest Pearl's defense of what might be described as a broadly manipulationist or interventionist treatment of causation: Causal claims have to do with what would happen under ideal, suitably (...) surgical experimental manipulations . But Pearl moves far beyond philosophical generalities on this theme: He makes the case for the approach that he favors by developing a formal apparatus for talking about interventions and how they relate to causation and information about probabilities that is at once both intuitively compelling and genuinely useful for purposes of calculation and estimation. He also actively engages the philosophical literature on causation at many points – for example, there are illuminating discussions of evidential decision theory, of probabilistic theories of causation of the sort favored by Eells and Cartwright, of Lewisian counterfactual theories of causation, and of the relationship between so-called type and token causal claims, as well as a quite novel treatment of the latter. (shrink)

Action Languages are formal methods of talking about actions and their effects on fluents. One recent approach in planning is to define the domains of the planning problems using action languages. The aim of this research is to find a plan for a system defined in the action language C by translating it into a causal theory and then finding an equivalent logic program. The planning problem will then be reduced to finding the answer set (stable model) of this (...) logic program. This planner will be added as an extension to the Causal Calculator (CCALC) which is a model checker for the language of the causal theories. (shrink)

Neoliberal globalization has not yielded the results it promised; global inequality has risen, poverty and hunger are still prevailing in large parts of this world. If this devastating situation shall be improved, economists must talk less about economic growth and more about people’s rights. The use of the language of rights will be key for making the economy work more in favor of the least advantaged in this world. Not only will it provide us with the vocabulary necessary to (...) reframe such pressing global problems and to find adequate economic solutions; it will also deliver the basis for deriving according duties and duty-bearers – the language of rights is congruent with the language of justice and as such it is inevitably and at the same time the language of obligations. The language of obligations exposes the multinational corporation as one of the main agents of justice in the global economy. Taking distributive justice as a starting point for reflection, a consistent derivation of the multinational’s moral obligations must focus on capabilities rather than on causality. This will lead to a shift from merely passive to active duties and accordingly to a stronger emphasis on the corporation’s contribution to the realization of positive rights. (shrink)

The most recent resurgence of philosophical attention to the so-called ‘functional talk’ in the sciences can be summarized in terms of the following questions: (Q1) What kind of restrictions, and in particular, what kind of evolutionary restrictions as well as to what extent, are involved in functional ascriptions? (Q2) How can we account for the explanatory import of function-ascribing statements? This paper addresses these questions on the basis of a modified version of Cummins’ functional analysis. The modification in question (...) is concerned with phylogenetical restrictions on causal role functions, and it stems from an analysis of some primary areas in molecular biology. I examine how evolutionary consideration affects the so-called “function-analytical explanatory strategy” (Cummins [1975] 1998, 2002). Finally, I argue that the neo-functional analysis here proposed accounts for a certain convergence between the main rival theories of biological function. (shrink)

The most recent resurgence of philosophical attention to the so-called ‘functional talk' in the sciences can be summarized in terms of the following questions: (Q1) What kind of restrictions, and in particular, what kind of evolutionary restrictions as well as to what extent, is involved in functional ascriptions? (Q2) How can we account for the explanatory import of function-ascribing statements? This paper addresses these questions through a modified version of Cummins' functional analysis. The modification in question is concerned with (...) phylogenetical restrictions on causal role functions, and it stems from an analysis of some primary areas in molecular biology. I examine how evolutionary consideration affects the so-called ‘function-analytical explanatory strategy' (Cummins [1975] 1998, 2002). Finally, I argue that the neo-functional analysis here proposed accounts for a certain convergence between the main rival theories of biological function. ‡I wish to thank David Davies, Eva Jablonka, Thomas Reydon, and Marcel Weber for their helpful comments. †To contact the author, please write to: Department of Philosophy, University of Rijeka, Omladinska 14, 51000 Rijeka, Croatia; e-mail: [email protected]. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Truth Will Set You Free, or How a Troubled Philosophical Theory May Help to Understand How People Talk About Their AddictionPatricia A. Ross (bio)Keywordsveridicality of narrative, contingency of theories, belief-behavior, causal connectionConsider the following proposition: If one were to recognize the unsatisfactory implications of maintaining a certain theoretical position, one would thereby be motivated to accept a more adequate theory, which would alter one's beliefs and, (...) in turn, alter the behaviors that are based upon those beliefs. Faith in this proposition is what motivates many of us to teach. But, alas...Allison Mitchell's argument for rethinking addiction intervention—in particular, rethinking twelve-step programs—is premised on this proposition. According to her argument, addicts function with an impoverished sense of self that is reflective of a grossly simplified form of philosophical materialism. By recognizing the limitations of this philosophically unconvincing view, and by, in effect, accepting a better, more complete materialism, addicts can come to modify their self-conception. This modification is instrumental to recovery.A careful consideration of the chain of events being proposed, and the problems with it, is helpful for understanding the limitations of her argument. There are four points that I consider in turn: (1) considering narratives can tell us something about the self-conception of addicts, (2) philosophical materialism can help us to understand and explain something about an addict's self-conception and how it is inadequate, (3) this sense of self is distinct from nonusers and the way in which it is distinct helps to understand the problem of addiction, and (4) a change in self-conception with respect to materialism helps recovery and, thus, our best intervention is one based on having addicts accept a full materialist theory of the self and not a pretheoretic one. [End Page 227]With respect to the first point, it should be noted that Mitchell's overall argument does not depend on whether or not it is true that narratives of addiction tell us something veridical about the self-conception of addicts. Such narratives may simply provide us with a potential theory—a possible worlds scenario—of how addicts conceive of themselves. Mitchell points this out herself. The narratives and the interpretation that she provides of these narrative, "are meant only to highlight a certain pattern of self-expression and conception that may in fact be common in persons who use mind-altering substances; the readings do not establish any empirical matters of fact or philosophical truths, nor do they prove any conclusions about how such persons (must) express themselves or conceive their nature" (Mitchell 2006, 214).Thus, what the argument is actually concerned with are the theoretical claims about the self-conception of addicts that are garnered from these narratives. Nevertheless, because the narratives provide the starting point for Mitchell's argument, it is worth thinking carefully about the epistemic status of this body of literature. In particular, could a consideration of such literature lead us astray in our endeavors to understand how addicts might misconceive of themselves and, if so, in what way? What sort of epistemic status does this information hold?Mitchell is motivated by Wittgensteinian analyses of the relationship between thought and language. The particular idea that she employs from Wittgenstein is that every act of self-expression, whether it is verbal or written narrative, reveals something about the conceptual framework with which the author is working. Thus, one can learn about the author of a narrative—one can acquire a sense of how that individual conceives of him- or herself—by looking at the language that is employed to talk about and describe him- or herself.Mitchell enumerates some problems with this approach. She mentions that the author may fail to make his or her intended sense clear to readers; that the reader's narrative expectations determine the interpretation given to the narrative; that literary narrative may be less direct, less ordinary than everyday uses of language; and that interpreting such narrative via philosophical framework may ascribe to people positions that are more precise and sophisticated than they actually intend (p. 213).Aside from these quite serious problems, it is necessary to recognize... (shrink)

I criticize Carpendale and Lewis's attempt to produce a Wittgensteinian theory, as an alternative to work in the “theory of mind” tradition, not because I disagree with it as theory, but because Wittgenstein would be critical of any attempt to make such a use of his work. Theories are concerned with discovering rules, principles, of lawful regularities hidden behind appearances. Wittgenstein's whole latter philosophy is inimical to such an aim. His concern is not with theories but with descriptions—which can be (...) explanatory, but in a relational or orientational rather than a causal fashion. Below, I give some initial examples to show what Wittgensteinian investigations in developmental psychology might look like. (shrink)

Ever since Savage represented acts by reference to their consequences, it has remained unclear how this conceptual move and its implications for evaluating acts may be reconciled with what is treated as people's acts in everyday talk and in our societies' legal practices. The present contribution, first, comments on applied and theoretical debates to emphasize the systematic relevance of Savage's move. It then focuses on the purportedly causal element in the term "consequence." A simple case shows how the (...) idea that choices are causally connected to their consequences meets with problems. Possible consequentialist reactions are discussed. (shrink)

Expertise depends on hours and hours of practice within a field before a state of proficiency is achieved. Normally, expert skills involve bodily knowledge associated to the practices of a field. Interactional expertise, i.e. the ability to talk competently about the field, however, is not causally dependent on bodily proficiency. Instead, interactional experts are verbally skilled to an extent that makes them impossible to distinguish from so-called contributory experts, the experienced practitioners. The concept of interactional expertise defines linguistic skills (...) as contingent on bodily knowledge. However, recent neuropsychological findings make it plausible that “first-person”-related neural activations would be relevant with respect to the subjects' verbal output, at least when subjects address concepts that refer to tangible objects. Using imitation games, we explore and expand on the apparently arbitrary relation between bodily experiences and linguistic skills in midwifery. In alignment with several findings within grounded cognition studies, the results presented suggest that somehow personal experiences make a linguistic difference, noticeable to contributory experts. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Symbolic Classification and The Emergence of a Metaphysics of CausalityOwen Goldinwhat is distinctive about metaphysics as a mode of thought that emerged in the fifth century before the Common Era? How did it emerge out of early ways of conceptualizing the world as a whole, and why? Many answers have been proposed. One common view is that earlier modes of thought personify natural agencies; once this is abandoned, the (...) way is open for discerning more complex regularities among natural events.1 Another view is that the process of "rationalization" introduced by the Greeks involves an implicit appeal to the individual's natural intelligence, in contrast to a dependence on an "inherited stock of wisdom."2 A third view is that the first Greek philosophers introduced inference as a way of navigating conceptual relationships, independent of the sorts of personal interactions among divinities related in mythical narrative.3 According to a fourth account, the mode of rationality that allowed for the development of ancient Greek metaphysics was a social [End Page 3] practice with the aim of persuasion, brought on by more democratic involvement in societal deliberations concerning law and policy.4To these I add a fifth way of answering the question. Crucial to the emergence of Greek metaphysics is explicit distinction of ontological/causal priority and posteriority. Ancient Greek scientific explanations developed out of older, archaic modes of conceptualization, which I maintain have deep parallels with modes of conceptualization shared by many nonliterate cultures. Such modes of thought rest on an implicit worldview which can be called a metaphysics, in a loose sense, and are still worthy of philosophical consideration.I begin with a red flag that will be raised for many as soon as we start talking about the metaphysical traditions of nonliterate cultures. What counts as a metaphysical tradition? I make some distinctions. In the loosest sense, an account or tradition is metaphysical if it reflects a coherent worldview concerning the kinds of beings that there are and how they are related to one another. According to a stricter sense of the term, a tradition is metaphysical if it involves working through this worldview in an explicit and systematic matter. In an even stricter sense, a tradition is metaphysical if, in addition to being explicit and systematic, it merits being classified as "philosophical," itself not an unproblematic term. I here stipulate that an account is philosophical if it does not rest on premises that are specific to certain cultural traditions and employs inferential arguments that are in principle subject to refutation.Generally speaking, there are two ways in which a tradition that is metaphysical in the strictest sense can listen to one that is metaphysical in a looser sense. First, a metaphysician might examine the latter tradition in order to explore how, historically, it served as the root for the former. An example is Aristotle's interest in Hesiod as expressing metaphysical intuitions that later philosophers unpacked.5 By studying [End Page 4] the ontological presuppositions of the sort of account from which our own metaphysics is derived, one learns more about our own ontological presuppositions and what we gain from them.6 This sort of dialogue carries with it the danger that the later thinker presupposes that—in the spirit of "you have to start somewhere"—the earlier thinkers were simply doing a bad job working through their own theories; Aristotle has often been accused of precisely this.7Another sort of dialogue is possible as well. An alternative metaphysical tradition can reveal the possibility of a radically different way of conceptualizing the causal and ontological structure of the world, one with its own advantages. In such a case there is shared set of problems at issue, shared points of reference within the philosophical literature, and a shared understanding of what philosophical argument is. But philosophical insight might also emerge from the kind of dialogue in which a developed metaphysics that conforms to certain standards of inferential argument confronts a way of thinking that is metaphysical in a looser sense. A substance-based ontologist can be led to reflect on whether the world has to be cut up as she does by studying Aztec... (shrink)

Kant, in various parts of his treatment of causality, refers to determinism or the principle of sufficient reason as an inescapable principle. In fact, in the Second Analogy we find the elements to reconstruct a purely phenomenal determinism as a logical and tautological truth. I endeavour in this article to gather these elements into an organic theory of phenomenal causality and then show, in the third section, with a specific argument which I call the “paradox of phenomenal observation”, that this (...) phenomenal determinism is the only rational approach to causality because any logico-reductivistic approach, such as the Humean one, would destroy the temporal order and so the very possibility to talk of a causal relation. I also believe that, all things said, Kant did not achieve a much greater comprehension of the problem than Hume did, in his theory of causality, for he did not free a phenomenal approach from the impasse of reductivism as his reflections on “simultaneous causation” and “vanishing quantities” indeed show, and this I will argue in Sect. 4 of this article. (shrink)

We may suspect that quantum mechanics and consciousness are related, but the details are not at all clear. In this paper, I suggest how the mind and brain might fit together intimately while still maintaining distinct identities. The connection is based on the correspondence of similar functions in both the mind and the quantum-mechanical brain. Accompanying material for a talk at The Second Mind and Brain Symposium held at the Institute of Psychiatry, Denmark Hill, London on 20th October, 1990.

David Bohm's interpretation of quantum mechanics yields a quantum potential, Q. In his early work, the effects of Q are understood in causal terms as acting through a real (quantum) field which pushes particles around. In his later work (with Basil Hiley), the causal understanding of Q appears to have been abandoned. The purpose of this paper is to understand how the use of certain metaphors leads Bohm away from a causal treatment of Q, and to evaluate (...) the use of those metaphors. (shrink)