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

A Causal Symmetry Approach to Quantum Nonlocality and Information -/- This paper develops a time-symmetric informational formulation of quantum mechanics in which both initial and final boundary conditions jointly constrain physical evolution. Quantum randomness is treated as a manifestation of incomplete information about correlations that extend across time, rather than as fundamental indeterminacy. The core concept is an informational coupling κ that quantifies how strongly the temporal boundaries are aligned. κ is derived from entropy balance and mutual information and defines (...) a dissipative, completely positive, trace-preserving dynamics with a unique informational equilibrium state. This dynamics preserves no-signaling and admits a standard generator of open-system type, but with the “environment” reinterpreted as a future boundary condition instead of a physical bath. -/- Conceptually, the framework is close to two-state and transactional approaches, yet it avoids hidden variables and superdeterministic assumptions by working directly at the level of the density operator and information-theoretic quantities. The paper links κ to thermodynamic quantities, yielding a generalized second law and a clear relation between information flow and heat in the spirit of informational thermodynamics. It also outlines a delayed-choice quantum random number generator as a realistic experimental test to estimate or bound κ. In the limit κ → 0, standard quantum mechanics is recovered; for nonzero κ, small but measurable deviations encode informational feedback between temporal boundaries. The result is a causally symmetric picture in which determinism and statistical behavior are unified through information rather than sacrificed to fundamental randomness. (shrink)

Causal Set Theory (CST) is a promising approach to fundamental physics that seems to treat causation as a basic posit. But in exactly what sense is CST causal? We argue that if the growth dynamics is interpreted as a physical process, then CST employs relations of actual causation between causal set elements, whereby elements bring one another into existence. This is important, as it provides a better sense of how CST works, highlights important differences from general relativity---where relations between spacetime (...) points are typically seen as cases of mere causal connectibility rather than actual causation of the relevant type---and points toward a specific understanding of the emergence of spacetime within CST. (shrink)

There are three questions associated with Simpson’s Paradox (SP): (i) Why is SP paradoxical? (ii) What conditions generate SP?, and (iii) What should be done about SP? By developing a logic-based account of SP, it is argued that (i) and (ii) must be divorced from (iii). This account shows that (i) and (ii) have nothing to do with causality, which plays a role only in addressing (iii). A counterexample is also presented against the causal account. Finally, the causal and (...) logic-based approaches are compared by means of an experiment to show that SP is not basically causal. (shrink)

Causality and game theory are two influential fields that contribute significantly to decision-making in various domains. Causality defines and models causal relationships in complex policy problems, while game theory provides insights into strategic interactions among stakeholders with competing interests. Integrating these frameworks has led to significant theoretical advancements with the potential to improve decision-making processes. However, practical applications of these developments remain underexplored. To support efforts toward implementation, this paper surveys key concepts in game theory and causality (...) that are essential to their intersection, particularly within the context of probabilistic graphical models. By rigorously examining these concepts and illustrating them with intuitive, consistent examples, we clarify the required inputs for implementing these models, provide practitioners with insights into their application and selection across different scenarios, and reference existing research that supports their implementation. We hope this work encourages broader adoption of these models in real-world scenarios. (shrink)

Causal accounts of scientific explanation are currently broadly accepted (though not universally so). My first task in this paper is to show that, even for a causal approach to explanation, significant features of explanatory practice are not determined by settling how causal facts bear on the phenomenon to be explained. I then develop a broadly causal approach to explanation that accounts for the additional features that I argue an explanation should have. This approach to explanation makes sense of several aspects (...) of actual explanatory practice, including the widespread use of equilibrium explanations, the formulation of distinct explanations for a single event, and the tight relationship between explanations of events and explanations of causal regularities. (shrink)

According to orthodox causal decision theory, performing an action can give you information about factors outside of your control, but you should not take this information into account when deciding what to do. Causal decision theorists caution against an irrational policy of 'managing the news'. But, by providing information about factors outside of your control, performing an act can give you two, importantly different, kinds of good news. It can tell you that the world in which you find yourself is (...) good in ways you can't control, and it can also tell you that the act itself is in a position to make the world better. While the first kind of news does not speak in favor of performing an act, I believe that the second kind of news does. I present a revision of causal decision theory which advises you to manage the news about the good you stand to promote, while ignoring news about the good the world has provided for you. (shrink)

We develop a new version of the causal theory of spacetime. Whereas traditional versions of the theory seek to identify spatiotemporal relations with causal relations, the version we develop takes causal relations to be the grounds for spatiotemporal relations. Causation is thus distinct from, and more basic than, spacetime. We argue that this non-identity theory, suitably developed, avoids the challenges facing the traditional identity theory.

Many maintain that petitionary prayer is pointless. I argue that the theist can defend petitionary prayer by giving a general account of how divine and creaturely causation can be compatible and complementary, based on the claim that the goodness of something depends on its cause. I use Thomas Aquinas’s metaphysical framework to give an account that explains why a world with creaturely causation better reflects God’s goodness than a world in which God brought all things about immediately. In such a (...) world, prayer could allow us to cause good things in a distinctive way: by asking God for them. (shrink)

This paper explores the origins of the term "causa sine qua non" used by Durand de Saint-Pourçain to describe the role of material things in knowledge. I show that its technical meaning comes from the Stoics and was transmitted to the Middle Ages by Boethius' commentary on Cicero's Topics. The expression "sine qua non" here does not have the ordinary and restricted meaning of "indispensable", "necessary condition", which can also apply to direct, per se causes of an effect. In the (...) present context, sine qua non causes do not act on the effect in question, either as concomitant, secondary, or instrumental causes, or as remote causes. They act only on that which hinders the actualization of a potentiality, in order to remove that obstacle. For example, the removal of a support that prevented something from falling does not act on that thing, nor does it add anything to its tendency to fall; it simply enables that thing to exercise its own actualization. Similarly, in cognitive processes, external things do not impose anything on the soul, but simply give it the opportunity to actualize its faculties of its own accord. I situate Durand's use of this form of causality in the context of late 13th/early 14th century theories of cognition, among several other attempts to find an alternative theory to the standard Aristotelian model and to maintain the pure activity of the soul with respect to the body. (shrink)

The techniques of causal inference are widely used throughout the non-experimental sciences to derive causal conclusions from probabilistic premises. This poses a philosophical question. What in the nature of causation accounts for the possibility of causal inference? In this paper I shall seek to answer this question. I shall develop a metaphysical theory of causation designed to explain the success of causal inference techniques. I shall then indicate how this theory also accounts naturally for single-case causation and the relation between (...) causation and rational action. Finally, I shall compare the resulting picture with “interventionist” approaches to causation. (shrink)

There is widespread belief in a tension between quantum theory and special relativity, motivated by the idea that quantum theory violates J. S. Bell’s criterion of local causality, which is meant to implement the causal structure of relativistic space-time. This paper argues that if one takes the essential intuitive idea behind local causality to be that probabilities in a locally causal theory depend only on what occurs in the backward light cone and if one regards objective probability as (...) what imposes constraints on rational credence along the lines of David Lewis’ Principal Principle, then one arrives at the view that whether or not Bell’s criterion holds is irrelevant for whether or not local causality holds. The assumptions on which this argument rests are highlighted, and those that may seem controversial are motivated. (shrink)

Traditionally, causal arguments for physicalism have been taken to favour a ‘reductive’ brand of physicalism, according to which all the mental stuff is identical to some of the physical stuff. Many flaws have been found with these traditional causal arguments. Zhong (Asian Journal of Philosophy, 2(2), 1–9, 2023) develops a new causal argument that avoids these flaws and favours a milder, non-reductive brand of physicalism instead. The conclusion is that all mental stuff is metaphysically necessitated by some of the physical (...) stuff. I argue that neither the traditional nor the new causal argument holds much sway over non-physicalism. The problem is that causation just does not run that deep. It is a fairly superficial relationship and a poor guide to the metaphysically weighty facts of our world, such as what is identical to what, and what metaphysically necessitates what. (shrink)

The paper is concentrated on the special changes of the conception of causality from quantum mechanics to quantum information meaning as a background the revolution implemented by the former to classical physics and science after Max Born’s probabilistic reinterpretation of wave function. Those changes can be enumerated so: (1) quantum information describes the general case of the relation of two wave functions, and particularly, the causal amendment of a single one; (2) it keeps the physical description to be causal (...) by the conservation of quantum information and in accordance with Born’s interpretation; (3) it introduces inverse causality, “backwards in time”, observable “forwards in time” as the fundamentally random probability density distribution of all possible measurements of any physical quantity in quantum mechanics; (4) it involves a kind of “bidirectional causality” unifying (4.1) the classical determinism of cause and effect, (4.2) the probabilistic causality of quantum mechanics, and (4.3) the reversibility of any coherent state; (5) it identifies determinism with the function successor in Peano arithmetic, and its proper generalized causality with the information function successor in Hilbert arithmetic. (shrink)

It has been stated that the notion of cause and effect is one object of study that sciences and engineering revolve around. Lately, in software engineering, diagrammatic causal inference methods (e.g., Pearl’s model) have gained popularity (e.g., analyzing causes and effects of change in software requirement development). This paper concerns diagrammatical (graphic) models of causal relationships. Specifically, we experiment with using the conceptual language of thinging machines (TMs) as a tool in this context. This would benefit works on causal relationships (...) in requirements engineering, enhance our understanding of the TM modeling, and contribute to the study of the philosophical notion of causality. To specify the causality in a system’s description is to constrain the system’s behavior and thus exclude some possible chronologies of events. The notion of causality has been studied based on tools to express causal questions in diagrammatic and algebraic forms. Causal models deploy diagrammatic models, structural equations, and counterfactual and interventional logic. Diagrammatic models serve as a language for representing what we know about the world. The research methodology in the paper focuses on converting causal graphs into TM models and contrasts the two types of representation. The results show that the TM depiction of causality is more complete and therefore can provide a foundation for causal graphs. (shrink)

The classic formulation of causal decision theory (CDT) appeals to counterfactuals. It says that you should aim to choose an option that would have a good outcome, were you to choose it. However, this version of CDT faces trouble if the laws of nature are deterministic. After all, the standard theory of counterfactuals says that, if the laws are deterministic, then if anything—including the choice you make—were different in the present, either the laws would be violated or the distant past (...) would be changed. And as several authors have shown, it's easy to transform this upshot of the standard theory of counterfactuals into full-blown counterexamples to CDT. In response to these counterexamples, I argue here that the problem lies, not so much with CDT's guiding idea—that it's the expected causal consequences of your actions that matter for rational decision-making—but with the fact that the classic formulation of CDT doesn't pay sufficient attention to the context-sensitivity of counterfactuals. I develop a contextualist version of CDT which better accounts for this context-sensitivity. And I show that my theory avoids the problems faced by the classic formulation of CDT in determinstic worlds. (shrink)

When agents violate norms, they are typically judged to be more of a cause of resulting outcomes. In this paper, we suggest that norm violations also affect the causality attributed to other agents, a phenomenon we refer to as "causal superseding." We propose and test a counterfactual reasoning model of this phenomenon in four experiments. Experiments 1 and 2 provide an initial demonstration of the causal superseding effect and distinguish it from previously studied effects. Experiment 3 shows that this (...) causal superseding effect is dependent on a particular event structure, following a prediction of our counterfactual model. Experiment 4 demonstrates that causal superseding can occur with violations of non-moral norms. We propose a model of the superseding effect based on the idea of counterfactual sufficiency. (shrink)

Causal Dispositionalism provides an account of causation based on an ontology of causal powers, properties with causal essence. According to the account, causation can be analysed in terms of the interaction of powers and its subsequent production of their effect. Recently, Baltimore, J. A. (2022. “Dispositionalism, Causation, and the Interaction Gap.” Erkenntnis 87: 677–92) has raised a challenge against two competing approaches, the compositional view (CV) and the mutual manifestation view (MMV), to explain what makes powers interactive – the interaction (...) gap. In this paper, we raise the challenge of explaining what makes powers productive – the production gap. While Baltimore’s verdict is tentatively favouring (MMV), we find both approaches wanting. Our conclusion is that Causal Dispositionalists should take Baltimore’s and our critique seriously. Powers cannot cause their effects just by bearing the name “causal”. To deserve their names, more metaphysical details are needed. (shrink)

This paper argues that the explanatory limits of theoretical frameworks are structurally determined by scale. Any framework that is sufficiently general to apply across domains necessarily loses explanatory power, while frameworks that provide strong explanations are inevitably restricted to specific scales. To formalize this tension, the paper introduces three concepts: scale-dependent causality, threshold-based stability, and thought frameworks as emergent constraints. It is shown that many phenomena commonly described as “complex” are in fact artifacts of scale mismatch between the analytical (...) framework and the underlying system. Meaning is treated as a relational output rather than a primary cause, and social or systemic conflicts are interpreted as consequences of connectivity structures rather than individual preferences. The paper proposes a minimal meta-theoretical model for evaluating explanatory frameworks and suggests that the failure of many theories is not empirical but structural: they operate at an incompatible scale. The framework is formulated in a way that allows for potential falsification through scale transformation and comparative analysis. (shrink)

Causal selection is the task of picking out, from a field of known causally relevant factors, some factors as elements of an explanation. The Causal Parity Thesis in the philosophy of biology challenges the usual ways of making such selections among different causes operating in a developing organism. The main target of this thesis is usually gene centrism, the doctrine that genes play some special role in ontogeny, which is often described in terms of information-bearing or programming. This paper is (...) concerned with the attempt of confronting the challenge coming from the Causal Parity Thesis by offering principles of causal selection that are spelled out in terms of an explicit philosophical account of causation, namely an interventionist account. I show that two such accounts that have been developed, although they contain important insights about causation in biology, nonetheless fail to provide an adequate reply to the Causal Parity challenge: Ken Waters's account of actual-difference making and Jim Woodward's account of causal specificity. A combination of the two also doesn't do the trick, nor does Laura Franklin-Hall's account of explanation (in this volume). We need additional conceptual resources. I argue that the resources we need consist in a special class of counterfactual conditionals, namely counterfactuals the antecedents of which describe biologically normal interventions. (shrink)

The physical realm is causally closed, according to physicalists like me. But why is it causally closed, what metaphysically explains causal closure? I argue that reductive physicalists are committed to one explanation of causal closure to the exclusion of any independent explanation, and that as a result, they must give up on using a causal argument to attack mind–body dualism. Reductive physicalists should view dualism in much the way that we view the hypothesis that unicorns exist, or that the Kansas (...) City Royals won the 2003 World Series: false, but not objectionable in any distinctively causal way. My argument turns on connections between explanation, counterfactuals, and inductive confirmation. (shrink)

Causal loops are circular chains of causally related events: each link causes others which in turn cause it. Not only are causal loops widely accepted as coherently conceivable; some are also provably self-consistent as well as seeming genuinely possible according to currently accepted laws of physics. On the common assumption that causation is transitive, each link in any causal loop would wind up causing itself; but the idea of self-causation is pretty much universally rejected as incoherent. A popular attempt to (...) resolve this dilemma distinguishes “direct” from “indirect” self-causation: the direct variety, which operates without the aid of causal intermediaries, is claimed to be impossible even if the indirect variety isn’t. I argue against this attempted resolution on the grounds that causal loops themselves, unlike the links that compose them, should be viewed as directly self-caused; so indirect self-causation via causal loop is possible only if direct self-causation is as well. An important consequence is the availability of groundbreaking solutions to several longstanding puzzles in philosophy of mind. (shrink)

The purpose of this article is to examine two important issues concerning the agency theory of causality: the charge of anthropomorphism and the relation of simultaneous causation. After a brief outline of the agency theory, sections 2–4 contain the refutation of the three main forms in which the charge of anthropomorphism is to be found in the literature. It will appear that it is necessary to distinguish between the subjective and the objective aspect of the concept of causation. This (...) will lead, in section 5, to contrast two kinds of anthropomorphism, one which has been rightly rejected by modern science and one which is fully compatible with the objective reality of the causal processes. Finally, section 6 will apply the preceding considerations to simultaneous causation. On the one hand, in a basic sense, there can be no simultaneous causal relations. On the other hand, simultaneous causation arises when we consider the natural change by abstracting from the agent and from her/his projects of interven.. (shrink)

Evidential decision theory (EDT) says that the choiceworthiness of an option depends on its evidential connections to possible outcomes. Causal decision theory (CDT) holds that it depends on your beliefs about its causal connections. While Newcomb cases support CDT, Arif Ahmed has described examples that support EDT. A new account is needed to get all cases right. I argue that an option A's choiceworthiness is determined by the probability that a good outcome ensues at possible A‐worlds that match actuality in (...) the facts causally unaffected by your decision (the “unaffected facts”). Moreover, you should evaluate A on the assumption that A is compossible with the unaffected facts. This view entails that you should use EDT when evaluating A on the assumption that the unaffected facts determine your action, but use CDT when assessing A on the opposite assumption. A's choiceworthiness equals a weighted average of these conditional assessments. The weights are determined by your beliefs about whether the unaffected fact determine your action. This account gets both Newcomb and Ahmed cases right. According to an influential view, whether you take the unaffected facts to determine your action can make a difference to whether you can regard yourself as free and the action as being under your control. While my account is neutral on this issue, it entails that whether you take the unaffected facts to determine your action is important in a different way: it matters to whether you should follow EDT or CDT. (shrink)

(Upgraded on April 13, 2026!) This paper proposes a comprehensive framework called the Causality Game. This framework redefines academics as a game in which blind faith in causality is a rule. The crisis of academics caused by Hume's viewing causality as a mere rule of thumb is resolved by this. Also, the Causality Game is the first time in history that causality is mandated in academics. Since the beginning of history, academics has possessed a structural (...) vulnerability: the lack of any absolute ground for adopting causality. The redefinition provided by the Causality Game resolves this issue as well. It is shown that when the prerequisites collapse, descriptions cannot be handled by humans. It is impossible to reach the truth through the thoroughness of causality. However, description has no choice but the thoroughness of causality. This becomes a warning to science and philosophy, where the neglect of causality is accelerating. Furthermore, the universe based on causality is defined. The universe is composed of minimum units and spatial relationships. Based on these, structure, intelligence, and consciousness are analyzed. While ontology is deterministic, epistemology leaves room for freedom due to the imperfection of perception. Based on the structure, the concepts of profit and loss are derived. The dynamics of freedom and power are examined. Negotiation, violence, and community are also considered. This paper strongly demands the thoroughness of causality in all academics. This provides humanity with the benefits of academics and a foundation for shareable recognition. I believe the Causality Game will be to my personal profit. And this profit will be shareable with the selfishness of many people. (shrink)

This paper interprets classical Daoist metaphysics as an ontology of drift rather than an origin-based cosmology. Through close readings of the Dao De Jing and Zhuangzi, it argues that Dao is not a primordial source but a structural logic of deformation in which identity, causality, and differentiation never stabilize. Concepts such as fan (reversal), wu-wei (non-action), and ziran (spontaneous-so) function not as doctrines but as operators within a non-linear, non-originary structure. Drift becomes the pattern through which reality sustains itself: (...) a recursive refusal of arrival, coherence, and ground. (shrink)

Causal models show promise as a foundation for the semantics of counterfactual sentences. However, current approaches face limitations compared to the alternative similarity theory: they only apply to a limited subset of counterfactuals and the connection to counterfactual logic is not straightforward. This paper addresses these difficulties using exogenous interventions, where causal interventions change the values of exogenous variables rather than structural equations. This model accommodates judgments about backtracking counterfactuals, extends to logically complex counterfactuals, and validates familiar principles of counterfactual (...) logic. This combines the interventionist intuitions of the causal approach with the logical advantages of the similarity approach. (shrink)

This paper sketches a causal account of scientific explanation designed to sustain the judgment that high-level, detail-sparse explanations—particularly those offered in biology—can be at least as explanatorily valuable as lower-level counterparts. The motivating idea is that complete explanations maximize causal economy: they cite those aspects of an event’s causal run-up that offer the biggest-bang-for-your-buck, by costing less (in virtue of being abstract) and delivering more (in virtue making the event stable or robust).

The problem of the man who met death in Damascus appeared in the infancy of the theory of rational choice known as causal decision theory. A straightforward, unadorned version of causal decision theory is presented here and applied, along with Brian Skyrms’ deliberation dynamics, to Death in Damascus and similar problems. Decision instability is a fascinating topic, but not a source of difficulty for causal decision theory. Andy Egan’s purported counterexample to causal decision theory, Murder Lesion, is considered; a simple (...) response shows how Murder Lesion and similar examples fail to be counterexamples, and clarifies the use of the unadorned theory in problems of decision instability. I compare unadorned causal decision theory to previous treatments by Frank Arntzenius and by Jim Joyce, and recommend a well-founded heuristic that all three accounts can endorse. Whatever course deliberation takes, causal decision theory is consistently a good guide to rational action. (shrink)

Some non-reductionists claim that so-called ‘exclusion arguments’ against their position rely on a notion of causal sufficiency that is particularly problematic. I argue that such concerns about the role of causal sufficiency in exclusion arguments are relatively superficial since exclusionists can address them by reformulating exclusion arguments in terms of physical sufficiency. The resulting exclusion arguments still face familiar problems, but these are not related to the choice between causal sufficiency and physical sufficiency. The upshot is that objections to the (...) notion of causal sufficiency can be answered in a straightforward fashion and that such objections therefore do not pose a serious threat to exclusion arguments. (shrink)

Among the factors necessary for the occurrence of some event, which of these are selectively highlighted in its explanation and labeled as causes — and which are explanatorily omitted, or relegated to the status of background conditions? Following J. S. Mill, most have thought that only a pragmatic answer to this question was possible. In this paper I suggest we understand this ‘causal selection problem’ in causal-explanatory terms, and propose that explanatory trade-offs between abstraction and stability can provide a principled (...) solution to it. After sketching that solution, it is applied to a few biological examples, including to a debate concerning the ‘causal democracy’ of organismal development, with an anti-democratic (though not a gene-centric) moral. (shrink)

The chapter explores whether, or to what extent, recent work in experimental philosophy puts pressure on the idea that the concept of causation is ‘egalitarian’. Causal selection – where experimental subjects tend to rate the causal strength of (for example) a norm-violator more strongly than a non-norm-violator – is a well established phenomenon, and is in prima facie tension with an egalitarian conception of causation; it also, indirectly, puts prima facie pressure on the idea that causation is a worldly phenomenon (...) whose obtaining is independent of facts about norms. The chapter explores both the various psychological mechanisms and the broadly pragmatic approaches to explaining causal selection. It argues that the answer to the question whether or not the concept of causation is egalitarian is currently significantly empirically underdetermined, and suggests some avenues for further investigation. (shrink)

Recent attempts to resolve the Paradox of the Gatecrasher rest on a now familiar distinction between individual and bare statistical evidence. This paper investigates two such approaches, the causal approach to individual evidence and a recently influential (and award-winning) modal account that explicates individual evidence in terms of Nozick's notion of sensitivity. This paper offers counterexamples to both approaches, explicates a problem concerning necessary truths for the sensitivity account, and argues that either view is implausibly committed to the impossibility of (...) no-fault wrongful convictions. The paper finally concludes that the distinction between individual and bare statistical evidence cannot be maintained in terms of causation or sensitivity. We have to look elsewhere for a solution of the Paradox of the Gatecrasher. (shrink)

This treatise constructs a causal chain of suffering by synthesizing Arthur Schopenhauer’s metaphysics of the Will (Wille zum Leben) with the author’s theoretical corpus, including the Double Helix of Understanding, the Mathematics of the “I,” the Pyramid of Personality, and the theory of Borderline Nihilistic Disorder. The central argument holds that suffering is not an accidental feature of human existence but an architecturally necessary consequence of consciousness itself—a chain with identifiable links extending from the metaphysical ground of blind Will, through (...) the developmental emergence of the “I,” the accumulation of the Life-Experience Encyclopedia, the inevitable confrontation with existential groundlessness, and the potential collapse into nihilistic crisis. The paper identifies seven causal links in this chain: (1) the blind Will as ontological ground, (2) the emergence of individuated consciousness, (3) the construction of the I–We relational matrix, (4) the accumulation of cognitive-emotional content, (5) the awakening of the philosophical function, (6) the confrontation with the Abyss, and (7) the resolution or annihilation bifurcation. Drawing exclusively on Schopenhauer’s published works and the author’s philosophical-psychological framework, this treatise demonstrates that suffering follows a developmental logic that is simultaneously metaphysical and psychological, philosophical and empirical. The implications for understanding adolescent suicide, lifespan development, and the necessity of philosophical education are discussed. (shrink)

In this chapter, we outline the range of argument forms involving causation that can be found in everyday discourse. We also survey empirical work concerned with the generation and evaluation of such arguments. This survey makes clear that there is presently no unified body of research concerned with causal argument. We highlight the benefits of a unified treatment both for those interested in causal cognition and those interested in argumentation, and identify the key challenges that must be met for a (...) full understanding of causal argumentation. (shrink)

Discovering high-level causal relations from low-level data is an important and challenging problem that comes up frequently in the natural and social sciences. In a series of papers, Chalupka etal. (2015, 2016a, 2016b, 2017) develop a procedure forcausal feature learning (CFL) in an effortto automate this task. We argue that CFL does not recommend coarsening in cases where pragmatic considerations rule in favor of it, and recommends coarsening in cases where pragmatic considerations rule against it. We propose a new technique, (...) pragmatic causal feature learning (PCFL), which extends the original CFL algorithm in useful and intuitive ways. We show that PCFL has the same attractive measure-theoretic properties as the original CFL algorithm. We compare the performance of both methods through theoretical analysis and experiments. (shrink)

Causal–Continuity Stabilization Theory (CCST) addresses the persistence of macroscopic causal histories within an Everettian, fully unitary ontology. While environmental decoherence accounts for the emergence of approximately autonomous quasi–classical sectors, it does not by itself specify when a continuous descriptive trajectory remains physically well–posed on a finite physicalsubstrate. CCSTintroducesaneffectivegeometricformulationofthermodynamicstrain Σ and a substrate–dependent maximum dissipation bound Φmax, together with a dynamical stability diagnostic expressed by an effective Lyapunov condition λ≤0. The central claim is that sector measure (Born weight) is conceptually independent (...) of de- scriptive admissibility: a sector may be prevalent in the global state yet fail to support stable frame–to–framecontinuityonagivensubstrateiftherequireddissipationexceedsΦmax oriflocal sensitivity renders the coarse–grained closure ill–posed. To avoid any implication of inter–sector transport or physical relocation, CCST defines the projection ΠS,t0 as a stability–constrained partial readout rule acting on the global wavefunction, yielding a descriptive trajectory ES (t) only on domains where admissibility holds. In this framework, a Causal Exit denotes loss of descriptive definability rather than elimi- nation of any Everettian sector, preserving full compatibility with unitary quantum mechanics while providing an explicit physical stability criterion for macroscopic descriptive persistence. (shrink)

Modeling mechanisms is central to the biological sciences – for purposes of explanation, prediction, extrapolation, and manipulation. A closer look at the philosophical literature reveals that mechanisms are predominantly modeled in a purely qualitative way. That is, mechanistic models are conceived of as representing how certain entities and activities are spatially and temporally organized so that they bring about the behavior of the mechanism in question. Although this adequately characterizes how mechanisms are represented in biology textbooks, contemporary biological research practice (...) shows the need for quantitative, probabilistic models of mechanisms, too. In this paper we argue that the formal framework of causal graph theory is well-suited to provide us with models of biological mechanisms that incorporate quantitative and probabilistic information. On the ba-sis of an example from contemporary biological practice, namely feedback regulation of fatty acid biosynthesis in Brassica napus, we show that causal graph theoretical models can account for feedback as well as for the multi-level character of mechanisms. However, we do not claim that causal graph theoretical representations of mechanisms are advantageous in all respects and should replace common qualitative models. Rather, we endorse the more balanced view that causal graph theoretical models of mechanisms are useful for some purposes, while being insufficient for others. (shrink)

The recent literature on causality has seen the introduction of several distinctions within causality, which are thought to be important for understanding the widespread scientific practice of focusing causal explanations on a subset of the factors that are causally relevant for a phenomenon. Concepts used to draw such distinctions include, among others, stability, specificity, proportionality, or actual-difference making. In this contribution, I propose a new distinction that picks out an explanatorily salient class of causes in biological systems. Some (...) select causes in complex biological systems, I argue, have the property of enabling coherent causal control of these systems. Examples of such control variables include hormones and other signaling molecules, e.g., TOR (target of rapamycin), morphogens or the products of homeotic selector genes in embryonic pattern formation. I propose an analysis of this notion based on concepts borrowed from causal graph theory. (shrink)

The last few decades have witnessed intense debates in Hume scholarship concerning Hume’s account of causation. At the core of the “old–new Hume” debate is the question of whether causation for Hume is more than mere regularity, in particular, whether Hume countenances necessary connections in mind-independent nature. This chapter assesses this debate against the background of Hume’s “foundational project” in the Treatise. The question of the role and import of Hume’s account of the idea of cause is examined and compared (...) with Hume’s treatment of other ideas. (shrink)

Causal Bayes nets (CBNs) provide one of the most powerful tools for modelling coarse-grained type-level causal structure. As in other fields (e.g., thermodynamics) the question arises how such coarse-grained characterisations are related to the characterisation of their underlying structure (in this case: token-level causal relations). Answering this question meets what is called a “coherence-requirement” in the reduction debate: How are different accounts of one and the same system (or kind of system) related to each other. We argue that CBNs as (...) tools for type-level causal inference are abstract enough to roughly fit any current token-level theory of causation as long as certain modelling assumptions are satisfied, but accounts of actual causation, i.e. accounts that attempt to infer token-causation based on CBNs, for the very same reason, face certain limitations. (shrink)

A promising development in the philosophy of causation analyzes actual causation using structural equation models, i.e., “causal models”. This paper carefully considers what it means for an interpreted model to be accurate of its target situation. These considerations show, first, that our existing understanding of accuracy is inadequate. Further, and more controversially, they show that any causal model analysis is committed to a kind of relativism – a view whereby causation is a three-part relation holding between a cause, an effect, (...) and something else. In particular, insofar as a causal model analysis construes causation mind-and-language independently, it must treat causation as relative to a specification of background possibilities – i.e., a ‘modal profile.’ Or, so I argue. (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)

"Correlation is not causation" is one of the mantras of the sciences—a cautionary warning especially to fields like epidemiology and pharmacology where the seduction of compelling correlations naturally leads to causal hypotheses. The standard view from the epistemology of causation is that to tell whether one correlated variable is causing the other, one needs to intervene on the system—the best sort of intervention being a trial that is both randomized and controlled. In this paper, we argue that some purely correlational (...) data contains information that allows us to draw causal inferences: statistical noise. Methods for extracting causal knowledge from noise provide us with an alternative to randomized controlled trials that allows us to reach causal conclusions from purely correlational data. (shrink)

Agent-causal libertarians maintain we are irreducible agents who, by acting, settle matters that aren’t already settled. This implies that the neural matters underlying the exercise of our agency don’t conform to deterministic laws, but it does not appear to exclude the possibility that they conform to statistical laws. However, Pereboom (Noûs 29:21–45, 1995; Living without free will, Cambridge University Press, Cambridge, 2001; in: Nadelhoffer (ed) The future of punishment, Oxford University Press, New York, 2013) has argued that, if these neural (...) matters conform to either statistical or deterministic physical laws, the complete conformity of an irreducible agent’s settling of matters with what should be expected given the applicable laws would involve coincidences too wild to be credible. Here, I show that Pereboom’s argument depends on the assumption that, at times, the antecedent probability certain behavior will occur applies in each of a number of occasions, and is incapable of changing as a result of what one does from one occasion to the next. There is, however, no evidence this assumption is true. The upshot is the wild coincidence objection is an empirical objection lacking empirical support. Thus, it isn’t a compelling argument against agent-causal libertarianism. (shrink)

Causal theories of perception typically have problems in explaining deviant causal chains. They also have difficulty with other unusual putative cases of perception involving prosthetic aids, defective perception, scientifically extended cases of perception, and so on. But I show how a more adequate reflexive causal theory, in which objects or properties X cause a perceiver to acquire X-related dispositions toward that very same item X, can provide a plausible and principled perceptual explanation of all of these kinds of cases. A (...) critical discussion of David Lewis's perceptual descriptivist views is also provided, including a defense of the logical possibility of systematic misperception or perceptual error for a perceiver, in spite of its empirical improbability. (shrink)

The Causal Exclusion Problem is raised in many domains, including in the metaphysics of macroscopic objects. If there is a complete explanation of macroscopic effects in terms of the microscopic entities that compose macroscopic objects, then the efficacy of the macroscopic will be threatened with exclusion. I argue that we can avoid the problem if we accept that macroscopic objects are ontically vague. Then, it is indeterminate which collection of microscopic entities compose them, and so information about microscopic entities is (...) insufficient to provide a complete explanation of certain properties of macroscopic objects. After outlining this solution, I consider several objections. (shrink)

<This is Incomplete Version. Provisional Complete Version is "The Causality Game: Redefining Academics as a Game with Causality as its Rule Based on Blind Faith" (HORTCG-2)> -/- Modern academia suffers from a profound neglect of causality, the very foundation of all scholarly inquiry. Although causality remains an unproven experiential belief, it must be embraced with blind faith; without this axiom, neither description nor inference is possible. A theory is strictly bound by its specific preconditions, and any (...) forced expansion beyond these leads to a decisive collapse of logical consistency, rendering further theoretical development impossible. This paper argues that even the most dominant frameworks—Kant’s philosophy, Special Relativity, and Quantum Mechanics—suffer from such foundational deviations and are essentially invalid as coherent theories. While strict adherence to causality renders the attainment of absolute truth impossible, it remains the only method for generating human-intelligible descriptions. Recognizing academia as a "game" governed by causality is essential to halt the immense squandering of human talent and resources on invalid, ad hoc constructs and to restore the legitimacy of scholarly inquiry. (shrink)