Explanation

There has been a surge of interest in explainable artificial intelligence (XAI). It is commonly claimed that explainability is necessary for trust in AI, and that this is why we need it. In this paper, I argue that for some notions of trust it is plausible that explainability is indeed a necessary condition. But that these kinds of trust are not appropriate for AI. For notions of trust that are appropriate for AI, explainability is not a necessary condition. I thus (...) conclude that explainability is not necessary for trust in AI that matters. (shrink)

Although neoclassical economics faces frequent criticism, it remains the dominant paradigm, largely due to its immunisation strategies that rely on unfalsifiable concepts of utility and rationality. In this paper, I use Karl Popper’s philosophy to assess whether these strategies are justified. Firstly, I reconstruct Popper’s ideas on immunisation strategies, situational analysis, the rationality principle, and the metaphysical research programme. Next, I examine how neoclassical economics’ immunisation strategies counter critiques from behavioural economics. I conclude that neoclassical economics’ method does not produce (...) empirical conjectures. I assess and evaluate this finding in relation to the “rationality principle”, as it parallels neoclassical economics’ optimisation axiom. Furthermore, I explore Popper’s relevance in the context of neoclassical economics’ recent incorporation of behavioural economics’ insights to show that my analysis is not purely historical. (shrink)

In evolutionary medicine and other related fields, the concept of evolutionary mismatch is used to explain phenomena whereby traits reduce in adaptive value and eventually become maladaptive as the environment changes. This article argues that there is a similar problem of persistent adaptivity—what has been called the problem of evolutionary novelty—and it introduces the concept of mismatch resistance in order to explain phenomena whereby traits retain their adaptive value in novel environments that are radically different from the organisms’ environment of (...) evolutionary adaptedness (EEA). The possible role of variability selection in the evolution of mismatch-resistant traits is discussed, and it is suggested that mismatch resistance provides a useful tool for making progress on certain issues related to evolutionary theory, such as the modularity debate, cases of adaptivity outside of organisms’ ancestral environment, and the viability of naturalism as an overarching philosophical framework for understanding the natural world. (shrink)

Living systems are complex systems made of components that tend to degrade, but nonetheless they maintain themselves far from equilibrium. This requires living systems to extract energy and materials from the environment and use them to build and repair their parts. They do so by regulating their activities on the basis of their internal and external conditions in ways that allow them to keep living. The philosophical and theoretical approach discussed in this book aims to explain these features of biological (...) systems by appealing to their organization. One of its distinctive features is that it addresses classical and more recent issues in philosophy of biology, from origins and definitions of life to biological teleology and functions, from an original perspective mainly focused on the living system, its physiology and behavior, rather than evolution. The book discusses and revises the conceptual foundations of this approach and presents an updated version of it. (shrink)

À partir de la question de savoir comment la science peut expliquer, ce texte pose la question à l’égard des formes d’enquêtes qui semblent inaptes à prédire. La question du modèle d’explication qui admettrait des données statistiques est ensuite confrontée aux idéaux rigoureusement prédictivistes et peut-être subrepticement déterministes. En discutant du modèle confirmationniste, on tente ici de tirer les conséquences de l’absence de procédure qui puisse venir disconfirmer en contexte probabiliste. C’est l’occasion de s’interroger sur le mode de résolution des (...) problèmes et défis dont fait montre la nature dans le but de reposer la question de la place de la téléologie eu égard à l’espace laissé oruvert par l’absence de procédures de validation. On est ainsi conduit à réinterroger la présence de schèmes d’économie d’énergie et d’optimalité qui rendent raison d’une anatomie transcendante, et puis finalement conduisent à s’interroger sur la place que tient la forme dans la vision que nous prenons de la nature. (shrink)

Why are quantum correlations so puzzling? A standard answer is that they seem to require either nonlocal influences or conspiratorial coincidences. This suggests that by embracing nonlocal influences we can avoid conspiratorial fine-tuning. But that’s not entirely true. Recent work, leveraging the framework of graphical causal models, shows that even with nonlocal influences, a kind of fine-tuning is needed to recover quantum correlations. This fine-tuning arises because the world has to be just so as to disable the use of nonlocal (...) influences to signal, as required by the no-signaling theorem. This places an extra burden on theories that posit nonlocal influences, such as Bohmian mechanics, of explaining why such influences are inaccessible to causal control. I argue that Everettian Quantum Mechanics suffers no such burden. Not only does it not posit nonlocal influences, it operates outside the causal models framework that was presupposed in raising the fine-tuning worry. Specifically, it represents subsystems with density matrices instead of random variables. This allows it to sidestep all the results (including EPR and Bell) that put quantum correlations in tension with causal models. However, this doesn’t mean one must abandon causal reasoning altogether in a quantum world. When decoherence is rampant and there’s no controlled entanglement, Everettian Quantum Mechanics licenses our continued use of standard causal models. When controlled entanglement is present---such as in Bell-type experiments---we can employ recently-proposed quantum causal models that are consistent with Everettian Quantum Mechanics. We never need invoke any kind of non-local influence or any kind of fine-tuning. (shrink)

According to the Principle of Sufficient Reason, every fact has an explanation. An important challenge to this principle is that it risks being a counterexample to itself. What explains why everything needs to be explained? My first goal is to distinguish two broad kinds of answers to this question, which I call “Humean Rationalism” and “Non-Humean Rationalism”. My second goal will be to defend the prospects of Humean Rationalism.

In the natural and social sciences, it is common to use toy models—extremely simple and highly idealized representations—to understand complex phenomena. Some of the simple surrogate models used to understand opaque machine learning (ML) models, such as rule lists and sparse decision trees, bear some resemblance to scientific toy models. They allow non-experts to understand how an opaque ML model works globally via a much simpler model that highlights the most relevant features of the input space and their effect on (...) the output. The obvious difference is that the common target of a toy and a full-scale model in the sciences is some phenomenon in the world, while the target of a surrogate model is another model. This essential difference makes toy surrogate models (TSMs) a new object of study for theories of understanding, one that is not easily accommodated under current analyses. This paper provides an account of what it means to understand an opaque ML model globally with the aid of such simple models. (shrink)

This paper presents a novel argument against one theoretically attractive form of panpsychism. I argue that “idealist panpsychism” is false since it cannot account for spacetime’s structure. Idealist panpsychists posit that fundamental reality is purely experiential. Moreover, they posit that the consciousness at the fundamental level metaphysically grounds and explains both the facts of physics and the facts of human consciousness. I argue that if idealist panpsychism is true, human consciousness and the consciousness at the fundamental level will have the (...) same metrical structure. However, as I demonstrate, human consciousness does not exhibit the same metrical structure as spacetime. Consequently, the idealist panpsychist faces an explanatory gap between the fundamental consciousness she posits and spacetime. Idealist panpsychism is incompatible with the existence of such an explanatory gap. Thus, idealist panpsychists must close this explanatory gap (which I argue they lack the resources to do), or idealist panpsychism is false. (shrink)

David Wallace's `Dennett's Criterion' plays a key part in establishing realist claims about the existence of a multiverse emerging from the mathematical formalism of quantum physics, even after decoherence is fully appreciated. Although the philosophical preconditions of this criterion are not neutral, they are rarely explicitly addressed conceptually. I tease apart three: (I) a rejection of conceptual bridge laws even in cases of inhomogeneous reduction; (II) a reliance on the pragmatic notion of usefulness to highlight quasi-classical patterns, as seen in (...) a decoherence basis, over others; and (III) a structural realist or `functional realist' point of view that leads to individuating those patterns as real macroscopic objects at the coarse-grained level, as they are seen from the Classical Stance (analogous to Dennett's Intentional Stance). I conclude that the justification of Dennett's Criterion will be intimately tied up with the fate of strong forms of naturalism, and in particular that Wallacian quantum mechanics is a key case study for concretely evaluating his `math-first' structural realism (Wallace 2022). (shrink)

For several decades scientists and philosophers studying how the mind works have debated the issue of modularity. Their main disagreements concern the massive modularity hypothesis, according to which all (or most) of our cognitive mechanisms are modular in nature. Pietraszewski and Wertz (2022) have recently suggested that the modularity debate is based on a confusion about the levels of analysis at which the mind can be explained. This article argues that their position suffers from three major problems: (1) the argument (...) is unsound, with untrue premises; (2) it glosses over important empirical issues; and (3) the guidelines it offers are not sufficient for avoiding future confusions. As these criticisms are developed, this article will provide a way of making sense of the modularity debate—with an eye for what really is at stake both conceptually and empirically—and, by identifying a false assumption often shared by proponents and opponents of the massive modularity hypothesis alike, it will sketch out some guidelines for moving the debate forward. (shrink)

Crupi and Tentori (2012) propose a condition of adequacy for any Bayesian measure of explanatory power, which they call Explanatory Justice. They criticize a measure recently defended by Schupbach and Sprenger(2011) for failing to satisfy this condition, and they offer a new explanatorily just measure of explanatory power. In this paper, we investigate Explanatory Justice’s merits as a condition of adequacy. We offer three arguments against this condition, thus supporitng the idea that a measure of explanatory power should rather be (...) unjust. Then, in order to ensure that the debate advances beyond a mere battle of intuitions, we offer some new results derived from the empirical study described in (Schupbach, 2011a). All of this strengthens the case for Schupbach and Sprenger’s measure while simultaneously posing new challenges to Crupi and Tentori’s alternative proposal. (shrink)

This chapter develops and defends a formal epistemology of conjunctive explanation by determining the conditions under which multiple distinct explanations are better than one. The general approach is to identify an appropriate measure of explanatory goodness that can then be applied to conjunctive explanations. If a conjunctive explanation is to be preferred it needs to have greater explanatory virtue (e.g., power or scope) with respect to the evidence, but this explanatory gain is insufficient on its own. Given a conjunctive explanation’s (...) greater complexity, it also has a cost associated with it and so a balance needs to be struck between the gain and the cost. This is achieved by employing a Bayesian measure proposed by I. J. Good. This chapter explores some properties of this measure and its application to the epistemology of conjunctive explanation. In so doing, it addresses the general question of whether it is desirable to have more informative, less probable hypotheses when seeking good explanations. (shrink)

One central aim of science is to provide explanations of natural phenomena. What role(s) does mathematics play in achieving this aim? How does mathematics contribute to the explanatory power of science? Rules to Infinity defends the thesis, common though perhaps inchoate among many members of the Vienna Circle, that mathematics contributes to the explanatory power of science by expressing conceptual rules, rules which allow the transformation of empirical descriptions. Mathematics should not be thought of as describing, in any substantive sense, (...) an abstract realm of eternal mathematical objects, as traditional platonists have thought. In Rules to Infinity, this view, which I call mathematical normativism, is updated with contemporary philosophical tools, and it is argued that normativism is compatible with mainstream semantic theory. This allows the normativist to accept that there are mathematical truths, while resisting the platonistic idea that there exist abstract mathematical objects that explain such truths. Furthermore, Rules to Infinity defends a particular account of the distinction between scientific explanations that are in some sense distinctively mathematical – those that explain natural phenomena in some uniquely mathematical way – and those that are only standardly mathematical, and it lays out desiderata for any account of this distinction. Normativism is compared with other prominent views in the philosophy of mathematics such as neo-Fregeanism, fictionalism, conventionalism, and structuralism. Rules to Infinity serves as an entry point into debates at the forefront of philosophy of science and mathematics, and it defends novel positions in these debates. (shrink)

The main aim of this paper is to evaluate the evolution of Accident Causation Models (ACMs) from the perspective of philosophy of science. I use insights from philosophy of science to provide an epistemological analysis of the ways in which engineering scientists judge the value of different types of ACMs and to offer normative reflection on these judgements. I review three widespread ACMs and clarify their epistemic value: sequential models, epidemiological models, and systemic models. I first consider how they produce (...) and ensure safety (‘usefulness’) relative to each other. This is evaluated in terms of the ability of models to afford a larger set of relevant counterfactual inferences. I take relevant inferences to be ones that provide safety (re)design information or suggest countermeasures (safety-design-interventions). I argue that systemic models are superior at providing said safety information. They achieve this, in part, by representing non-linear causal relationships. The second issue is whether we should retire linear and epidemiological models. I argue negatively. If the goal is to assign blame, linear models are better candidates. The reason is that they can provide semantic simplicity. Similarly, epidemiological models are better suited for the goal of audience communication because they can provide cognitive salience. (shrink)

I introduce an argument for Platonism based on intra-mathematical explanation: the explanation of one mathematical fact by another. The argument is important for two reasons. First, if the argument succeeds then it provides a basis for Platonism that does not proceed via standard indispensability considerations. Second, if the argument fails it can only do so for one of three reasons: either because there are no intra-mathematical explanations, or because not all explanations are backed by dependence relations, or because some form (...) of noneism-the view according to which non-existent entities possess properties and stand in relations-is true. The argument thus forces a choice between nominalism without noneism, intra-mathematical explanation and a backing conception of explanation. You can have any two, but not all three. (shrink)

Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, yet it (...) is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

The ontic conception of explanation is predicated on the proposition that “explanation is a relation between real objects in the world” and hence, according to this approach, scientific explanation cannot take place absent such a premise. Despite the fact that critics have emphasized several drawbacks of the ontic conception, as for example its inability to address the so-called “abstract explanations”, the debate is not settled and the ontic view can claim to capture cases of explanation that are non-abstract, such as (...) causal relations between events. However, by eliminating the distinction between abstract and non-abstract explanations, it follows that ontic and epistemic proposals can no longer contend to capture different cases of explanation and either all are captured by the ontic view or all are captured by the epistemic view. On closer inspection, it turns out that the ontic view deals with events that fall outside the scientists’ scope of observation and that it does not accommodate common instances of explanation such as explanations from false propositions and hence it cannot establish itself as the dominant philosophical stance with respect to explanation. On the contrary, the epistemic conception does account for almost all episodes of explanation and can be described as a relation between representations, whereby the explanans transmit information to the explanandum and that this information can come, dependent on context, in the form of any of the available theories of explanation (law-like, unificatory, causal and non-causal). The range of application of the ontic view thus is severely restricted to trivial cases of explanation that come through direct observation of the events involved in an explanation and explanation is to be mostly conceived epistemically. (shrink)

It is a mistake to think that any philosophical contribution to the study of psychopathology is otiose. I identify three non-exhaustive roles that philosophy can and does occupy in the study of mental disorder, which I call the agenda-setting role, the synthetic role, and the regulative role. The three roles are illustrated via consideration of the importance of Jaspers' notion of understanding and its application to specific examples of mental disorder, including delusions of reference, Capgras delusion and other monothematic delusions, (...) and clinical depression. Together the three roles assign to philosophy of psychopathology the task of determining how to situate the varieties of mental disorder within the system of interpretive and evaluative concepts that partially make up the dynamic but indispensable manifest image. (shrink)

We argue that two well-known examples (strawberry distribution and Konigsberg bridges) generally considered genuine cases of distinctively _mathematical_ explanation can also be understood as cases of distinctively _generic_ explanation. The latter answer resemblance questions (e.g., why did neither person A nor B manage to cross all bridges) by appealing to ‘generic task laws’ instead of mathematical necessity (as is done in distinctively mathematical explanations). We submit that distinctively generic explanations derive their explanatory force from their role in ontological unification. Additionally, (...) we argue that distinctively generic explanations are better seen as standardly mathematical instead of distinctively mathematical. Finally, we compare and contrast our proposal with the work of Christopher Pincock on abstract explanations in science and the views of Michael Strevens on abstract causal event explanations. (shrink)

In this article I examine several related views expressed by Robin Hendry concerning molecular structure, emergence and chemical bonding. There is a long-standing problem in the philosophy of chemistry arising from the fact that molecular structure cannot be strictly derived from quantum mechanics. Two or more compounds which share a molecular formula, but which differ with respect to their structures, have identical Hamiltonian operators within the quantum mechanical formalism. As a consequence, the properties of all such isomers yield precisely the (...) same calculated quantities such as their energies, dipole moments etc. The only means through which the difference between the isomers can be recovered is to build their structures into the quantum mechanical calculations, something that is carried out by the application of the Born-Oppenheimer approximation. Consequently, it has been argued by many authors that molecular structure is written in ‘by hand’ rather than derived. Robin Hendry is one such author, but he goes a great deal further by proposing that this situation implies the existence of emergence and downward causation. In the current article I argue that there are alternative explanations which render emergence and downward causation redundant. Such an alternative lies in the notion of quantum decoherence and the appeal to work in the foundations of physics, which posits that the various isomers exist as a superposition until their wavefunctions are collapsed either by observation or by interacting with their environment. Hendry also alludes to a debate among chemists as to whether chemical bonds are real or not, in the sense of directional connections between two or more nuclei in any given molecule. I reject this view and propose that the structural and energetic views of chemical bonding, that have been discussed by some philosophers of chemistry including Hendry, do not refer to any essential ontological differences. I agree that chemists view bonding in a more realistic fashion and may consider bonds to be in some senses real, while physicists may consider bonding in more abstract energetic terms. However, I do not believe that such differences in scientific practice and attitudes should be considered to offer a window as to the ontological status of bonding or whether bonding is real. Finally, I discuss the kinetic energy school of chemical bonding which would seem to challenge any notion of bonds as directional entities, since bonding is no longer regarded as being primarily due to the build-up of electron density between nuclei. (shrink)

This paper discusses a novel response to two closely related regress arguments from Bolzano’s Theory of Science and Carroll’s What the Tortoise Said to Achilles. Bolzano’s argument aims to refute the thesis that full grounds must include propositions involving notions such as entailment, grounding or lawhood which link the respective grounds to their groundee. This thesis is motivated, Bolzano’s argument is reconstructed, and a response based on self-referential linking propositions is developed and defended against objections concerning self-reference and Curry’s paradox. (...) Finally, the idea is applied to a reading of Carroll’s dialogue and a corresponding solution to the so-called infinite regress problem of inference is proposed. (shrink)

It is well-known that the global structure of every space-time model for relativistic cosmology is observationally underdetermined. In order to alleviate the severity of this underdetermination, it has been proposed that we adopt the Cosmological Principle because the Principle restricts our attention to a distinguished class of space-time models (spatially homogeneous and isotropic models). I argue that, even assuming the Cosmological Principle, the topology of space remains observationally underdetermined. Nonetheless, I argue that we can muster reasons to prefer various topological (...) properties over others. In particular, I favor the adoption of multiply connected universe models on grounds of (i) simplicity, (ii) Machian considerations, and (iii) explanatory power. We are able to appeal to such grounds because multiply connected topologies open up the possibility of finite universe models (consistent with our best data), which in turn avoid thorny issues concerning the postulation of an actually infinite universe. (shrink)

The role of evolutionary theory at the origin of life is an extensively debated topic. The origin and early development of life is usually separated into a prebiotic phase and a protocellular phase, ultimately leading to the Last Universal Common Ancestor. Most likely, the Last Universal Common Ancestor was subject to Darwinian evolution, but the question remains to what extent Darwinian evolution applies to the prebiotic and protocellular phases. In this review, we reflect on the current status of evolutionary theory (...) in origins of life research by bringing together philosophy of science, evolutionary biology, and empirical research in the origins field. We explore the various ways in which evolutionary theory has been extended beyond biology; we look at how these extensions apply to the prebiotic development of (proto)metabolism; and we investigate how the terminology from evolutionary theory is currently being employed in state-of-the-art origins of life research. In doing so, we identify some of the current obstacles to an evolutionary account of the origins of life, as well as open up new avenues of research. (shrink)

This paper studies the epistemic failures to reach understanding in relation to scientific explanations. We make a distinction between genuine understanding and its negative phenomena—lack of understanding and misunderstanding. We define explanatory understanding as inclusive as possible, as the epistemic success that depends on abilities, skills, and correct explanations. This success, we add, is often supplemented by specific positive phenomenology which plays a part in forming epistemic inclinations—tendencies to receive an insight from familiar types of explanations. We define lack of (...) understanding as the epistemic failure that results from a lack of an explanation or from an incorrect one. This can occur due to insufficient abilities and skills, or to fallacious explanatory information. Finally, we characterize misunderstanding by cases where one’s epistemic inclinations do not align with an otherwise correct explanation. We suggest that it leads to potential debates about the explanatory power of different explanatory strategies. We further illustrate this idea with a short meta-philosophical study on the current debates about distinctively mathematical explanations. (shrink)

This essay discusses Peter Langland-Hassan's approach to "explaining imagination" as it plays out in his recent book of that title. Langland-Hassan offers a theory of “attitude imagining” that avoids positing what he calls a “sui generis cognitive attitude.” This theory attempts to explain things like pretend play, hypothetical reasoning, and cognition of fiction; to explain them using only (what he calls) more “basic” mental states like beliefs and desires; and thus to explain them without positing a distinct cognitive attitude of (...) imagining, as many theorists do (including me). In other words, “attitude imagining,” for Langland-Hassan, is whatever explains those things (except for a distinct cognitive attitude of imagining itself). Despite the theoretical interest of this approach, I argue it is ontologically pennywise and pound foolish: for a slight savings in ontological complexity it dramatically reduces explanatory power. (shrink)

Le « contexte » est un concept qui, même réduit à la portion congrue dans le cadre de l’individualisme méthodologique, joue un rôle dans beaucoup d’explications sociologiques. Il est avancé quatre arguments : 1° « individu-en-contexte » est forgé sur le modèle « figure-sur-fond » de la Gestaltpsychologie dont le holisme est incompatible avec les paradigmes individualistes ; 2° contrairement au « fond » de la Gestalt, le « contexte » des sociologues est indéfini quant à l’échelle, quant aux limites (...) et quant au contenu ; c’est pourquoi il ne peut être en position de sujet causal d’une expression bien formée : seuls les individus sont capables d’action ; 3° dans ses aspects objectifs, le contexte est réductible au réseau social de l’individu ; 4° dans ses aspects subjectifs, le contexte est réductible à une croyance de l’individu. La sociologie des sciences fournit l’exemple d’une telle redéfinition spontanée : l’action des chercheurs a d’abord été référée à la « communauté scientifique », puis aux « communautés auto-régulées », aux « sous-communautés spécialisées », aux « collèges invisibles » et enfin aux « réseaux de collaboration scientifique ». Dernier de ces remaniements, le réseau de collaboration permet de reconstruire plus finement la perception qu’un chercheur se fait de sa discipline et contribue à expliquer sa productivité scientifique. Du point de vue de l’individualisme structural, il n’est pas indispensable de maintenir le concept de contexte sinon comme fiction ou façon de parler : les usages explicatifs sont illégitimes ; l’usage référentiel peut être évité en remplaçant contexte par croyance et réseau social. (shrink)

Epistemic pluralists in the philosophy of science often argue that different epistemic perspectives in science are equally warranted. Sandra Mitchell – with her Integrative Pluralism (IP) – has notably advocated for this kind of epistemic pluralism. A problem arises for Mitchell however because she also wants to be an epistemological pluralist. She claims that, not only are different epistemic perspectives in science equally warranted in different contexts, but different understandings of these epistemic perspectives in science are also equally warranted in (...) different contexts. The problem is that Mitchell argues that her understanding of epistemic perspectives in science (IP) is the correct one, and it is dilemmic to then claim that there is more than one such understanding. As solution, I suggest that we abandon epistemological pluralism and instead follow Feyerabend in being opportunistic pluralists. We can adopt pluralism as a short-term strategy in the pursuit of a long-term unitary goal. This unitary goal is what philosophers of understanding call objectual understanding, the kind of understanding that Integrative Pluralism tacitly aspires to anyway. (shrink)

Ross Cameron (2022) argues that metaphysical infinitists should reject the generally accepted idea that metaphysical determination relations back metaphysical explanations. Otherwise it won’t be possible for them to come up with successful explanations for the existence of dependent entities in non-wellfounded chains of dependence. I argue that his argument suffers from what he calls the finitist dogma, although indirectly so. However, there is a better way of motivating Cameron’s conclusion. Assuming Cameron’s principle of Essence, explanations for the existence of dependent (...) entities turn out to be circular if determination relations back explanations. This latter argument provides a stronger case as it puts the foundationalist under significant pressure, besides putting the infinitist under some pressure, to deny the idea that determination relations back explanations. (shrink)

According to new mechanists, mechanisms explain how specific biological phenomena are produced. New mechanists have had little to say about how mechanisms relate to the organism in which they reside. A key feature of organisms, emphasized by the autonomy tradition, is that organisms maintain themselves. To do this, they rely on mechanisms. But mechanisms must be controlled so that they produce the phenomena for which they are responsible when and in the manner needed by the organism. To account for how (...) they are controlled, we characterize mechanisms as sets of constraints on the flow of free energy. Some constraints are flexible and can be acted on by other mechanisms, control mechanisms, that utilize information procured from the organism and its environment to alter the flexible constraints in other mechanisms so that they produce phenomena appropriate to the circumstances. We further show that control mechanisms in living organisms are organized heterarchically—control is carried out primarily by local controllers that integrate information they acquire as well as that which they procure from other control mechanisms. The result is not a hierarchy of control but an integrated network of control mechanisms that has been crafted over the course of evolution. (shrink)

The observational-theoretical distinction has played a central role in the philosophy of science from logical empiricism onwards. Developments within the discipline have shown that such a distinction hides two non-identical distinctions: observational vs. non-observational and theoretical vs. non-theoretical. Likewise, metatheoretical structuralism proposed a more sophisticated treatment of theoricity in terms of the operational dependence or independence of concepts from the theories in which they appear. Despite this remarkable sophistication, it is still generally accepted that the distinction between theoretical and non-theoretical (...) concepts coincides with the explanatory vs. non-explanatory and testing vs. non-testing distinctions. Ginnobili and Carman argued for the independence between theoricity and explanation. In this paper we will focus on testing and argue for its independence from both theoricity and explanation. To do so, we propose an account of theory testing based on the framework of metatheoretical structuralism and apply it to natural selection theory and cladistics. (shrink)

The chapter discusses the issue of how we may achieve knowledge of essence. It offers a critical survey of the main theories of knowledge of essence that have been proposed within contemporary debates, particularly by Lowe, Hale, Oderberg, Elder, and Kment.

I argue that ML models used in science function as highly idealized toy models. If we treat ML models as a type of highly idealized toy model, then we can deploy standard representational and epistemic strategies from the toy model literature to explain why ML models can still provide epistemic success despite their lack of similarity to their targets.

There is, among philosophers involved in the debate concerning the nature and epistemology of understanding, a general recognition that this state has a grasping component that accounts for some of its distinctive features. This paper defends the view that this component of understanding consists of a knowledge of how to use a particular explanation to account for a given phenomenon. The way in which a subject acquires this knowledge is examined and the result of this examination is shown to highlight (...) the particular contribution of the grasping component of understanding to the distinctive features of this state. (shrink)

Most psychological research aims to uncover generalizations about the mind that hold across subjects. Philosophical discussions of scientific explanation have focused on such generalizations, but in doing so, have often overlooked an important phenomenon: variation. Variation is ubiquitous in psychology and many other domains, and an important target of explanation in its own right. Here I characterize explananda that concern individual differences and formulate an account of what it takes to explain them. I argue that the notion of actual difference (...) making, the only causal concept in the literature that explicitly addresses variation, cannot be used to ground such an account. Instead, I propose a view on which explaining individual differences involves identifying causes that could be intervened on to reduce the variability in the population. This account provides criteria of success for explaining variation and deepens our understanding of causal explanation. (shrink)

Social phenomena—quite like mental states in the philosophy of mind—are often regarded as potential troublemakers from the start, particularly if they are approached with certain explanatory commitments, such as naturalism or social individualism, already in place. In this paper, we argue that such explanatory constraints should be at least initially bracketed if we are to arrive at an adequate non-biased description of social phenomena. Legitimate explanatory projects, or so we maintain, such as those of making the social world fit within (...) the natural world with the help of, e.g., collective intentionality, social individualism, and the like, should neither exclude nor influence the prior description of social phenomena. Just as we need a description of the mental that is not biased, for example, by (anti)physicalist constraints, we need a description of the social that is not biased, for example, by (anti)individualist or (anti)naturalist commitments. Descriptive social ontology, as we shall conceive of it, is not incompatible with the adoption of explanatory frameworks in social ontology; rather, the descriptive task, according to our conception, ought to be recognized as prior to the explanatory project in the order of inquiry. If social phenomena are, for example, to be reduced to nonsocial (e.g., psychological or physical) phenomena, we need first to understand clearly what the social candidates for the reduction in question are. While such descriptive or naive approaches have been influential in general metaphysics (see Fine 2017), they have so far not been prominent in analytic social ontology (though things are different outside of analytic philosophy, see esp. Reinach (1913). In what follows, we shall outline the contours of a descriptive approach by arguing, first, that description and explanation need to be distinguished as two distinct ways of engaging with social phenomena. Secondly, we defend the claim that the descriptive project ought to be regarded as prior to the explanatory project in the order of inquiry. We begin, in Section 2, by considering two different ways of engaging with mental phenomena: a descriptive approach taken by descriptive psychology and an explanatory approach utilized in analytic philosophy of mind. We take these two ways of approaching the study of the mind to be analogous to the distinction we want to draw in social ontology between a descriptive and an explanatory approach to the study of social phenomena. We consider next, in Section 3, how our approach compares to neighboring perspectives that are familiar to us from general metaphysics and philosophy more broadly, such as Aristotle’s emphasis on “saving the appearances”, Strawson’s distinction between descriptive and revisionary metaphysics, as well as Fine’s contrast between na¨ive and foundational metaphysics. In Section 4, we apply the proposed descriptive/explanatory distinction to the domain of social ontology and argue that descriptive social ontology ought to take precedence in the order of inquiry over explanatory social ontology. Finally, in Section 5, we consider and respond to several objections to which our account might seem to be susceptible. (shrink)

A conjunction of two hypotheses may provide a better explanation than either one of them individually, even if each already provides a good explanation on its own. An appropriate measure of explanatory power should reflect this, but none of the measures discussed in the literature do so because they only consider how much an explanatory hypothesis reduces our surprise at the evidence – which is problematic. This chapter introduces and defends a class of coherentist measures of explanatory power, and shows (...) that one particular such measure that combines different intuitions underlying the epistemological notion of coherence overcomes the aforementioned problems of surprise reduction measures. (shrink)

I argue that notions of relative fundamentality need to be invoked if there is to be something substantive at stake in the debate between proponents of Harvey Brown's dynamical approach to relativity and defenders of a more traditional interpretation of spacetime. I will review some problems that stand in the way of the advocate of the dynamical approach making good on their claim that dynamical symmetries are more fundamental than spacetime symmetries.

No presente trabalho apresentamos e traduzimos o texto “O Perigo da confirmação não-empírica", de Carlo Rovelli, cosmólogo italiano, um dos proponentes da gravitação quântica em loop. Trata-se do texto apresentado por Rovelli em 2015 durante o chamado “Debate de Munich” sobre o problema da base empírica do método científico. Rovelli analisa – e se contrapõe – à proposta do filósofo da ciência Richard Dawid, que em String Theory and the Scientific Method, defende que teorias científicas podem ser avaliadas, aceitas e (...) defendidas a partir de critérios não-empíricos. Rovelli, a despeito de concordar com Dawid quanto a importância histórica dos argumentos não-empíricos no desenvolvimento de teorias físicas, sustenta que a confirmação empírica deve permanecer sendo considerada indispensável para a prática científica e o sucesso cumulativo da ciência. (shrink)

Although standard Machine Learning models are optimized for making predictions about observations, more and more they are used for making predictions about the results of actions. An important goal of Explainable Artificial Intelligence (XAI) is to compensate for this mismatch by offering explanations about the predictions of an ML-model which ensure that they are reliably action-guiding. As action-guiding explanations are causal explanations, the literature on this topic is starting to embrace insights from the literature on causal models. Here I take (...) a step further down this path by formally defining the causal notions of sufficient explanations and counterfactual explanations. I show how these notions relate to (and improve upon) existing work, and motivate their adequacy by illustrating how different explanations are action-guiding under different circum- stances. Moreover, this work is the first to offer a formal definition of actual causation that is founded entirely in action-guiding explanations. Although the definitions are motivated by a focus on XAI, the analysis of causal explanation and actual causation applies in general. I also touch upon the significance of this work for fairness in AI by showing how actual causation can be used to improve the idea of path-specific counterfactual fairness. (shrink)

The concept of causality is central to the assessment of numerous related metaphysical and epistemic positions, in Hegel and elsewhere. The present essay tries 1) to understand Hegel’s critique of the merely categorically understood concept of causality; 2) to uncover the theoretical structure that must accompany the categorical concept of causality in order to avoid the problems mentioned above; and 3) to argue that such a theory of causality has a fundamental function for Hegel’s conception of objectivity.

By introducing and extending description logic (DLs) and growing up their application in knowledge representation and especially in OWLs and semantic web scope, many shortcomings and bugs were identified that weren’t resolvable in classical DLs and so logicians and computer scientists intended to non-classical and non-monotonic reasoning tools. In this paper, I discuses about abduction problem solvers, and by introducing A-Box abduction in description logics (DLs), such as ALC, discuss about decidability and complexity in different introduced algorithms, and report shortly (...) our team’s advantages in developing and implementation of ΑBox abduction in DLs. (shrink)