Starting with the slogan that understanding is a ‘knowledge of causes’, Stephen Grimm and John Greco have argued that understanding comes from a knowledge of dependence relations. Grounding is the trendiest dependence relation on the market, and if Grimm and Greco are correct, then instances of grounding should also give rise to understanding. In this paper, I will show that this prediction is correct – grounding does indeed generate understanding in just the way that Grimm and (...) Greco anticipate. However, grounding examples of understanding also show that Grimm and Greco are not telling the full story when it comes to understanding. Understanding can only be generated by a particular subset of dependence relations – those dependence relations that are also explanatory. Grimm and Greco should thus appeal to a privileged class of dependence relations, relations like grounding that can also give rise to explanation. (shrink)

I propose and defend the hypothesis that understanding is the norm of explanation. On this proposal, an explanation should express understanding. I call this the understanding account of explanation. The understanding account is supported by social and introspective observations. It is also supported by the relationship between knowledge and understanding, on the one hand, and assertion and explanation, on the other.

In this paper, I outline a heuristic for thinking about the relation between explanation and understanding that can be used to capture various levels of “intimacy”, between them. I argue that the level of complexity in the structure of explanation is inversely proportional to the level of intimacy between explanation and understanding, i.e. the more complexity the less intimacy. I further argue that the level of complexity in the structure of explanation also affects the (...) explanatory depth in a similar way to intimacy between explanation and understanding, i.e. the less complexity the greater explanatory depth and vice versa. (shrink)

Philosophers of science since Nagel have been interested in the links between intertheoretic reduction and explanation, understanding and other forms of epistemic progress. Although intertheoretic reduction is widely agreed to occur in pure mathematics as well as empirical science, the relationship between reduction and explanation in the mathematical setting has rarely been investigated in a similarly serious way. This paper examines an important particular case: the reduction of arithmetic to set theory. I claim that the reduction is (...) unexplanatory. In defense of this claim, I offer evidence from mathematical practice, and I respond to contrary suggestions due to Steinhart, Maddy, Kitcher and Quine. I then show how, even if set-theoretic reductions are generally not explanatory, set theory can nevertheless serve as a legitimate foundation for mathematics. Finally, some implications of my thesis for philosophy of mathematics and philosophy of science are discussed. In particular, I suggest that some reductions in mathematics are probably explanatory, and I propose that differing standards of theory acceptance might account for the apparent lack of unexplanatory reductions in the empirical sciences. (shrink)

We introduce and discuss a knowledge-driven distillation approach to explaining black-box models by means of two kinds of interpretable models. The first is perceptron (or threshold) connectives, which enrich knowledge representation languages such as Description Logics with linear operators that serve as a bridge between statistical learning and logical reasoning. The second is Trepan Reloaded, an ap- proach that builds post-hoc explanations of black-box classifiers in the form of decision trees enhanced by domain knowledge. Our aim is, firstly, to target (...) a model-agnostic distillation approach exemplified with these two frameworks, secondly, to study how these two frameworks interact on a theoretical level, and, thirdly, to investigate use-cases in ML and AI in a comparative manner. Specifically, we envision that user-studies will help determine human understandability of explanations generated using these two frameworks. (shrink)

I present a puzzle – the “puzzle of aesthetic testimony” – along with a solution to it that appeals to the impossibility of testimonial understanding. I'll criticize this solution by defending the possibility of testimonial understanding, including testimonial aesthetic understanding.

This paper presents and argues for an account of objectual understanding that aims to do justice to the full range of cases of scientific understanding, including cases in which one does not have an explanation of the understood phenomenon. According to the proposed account, one understands a phenomenon just in case one grasps a sufficiently accurate and comprehensive model of the ways in which it or its features are situated within a network of dependence relations; one’s degree (...) of understanding is proportional to the comprehensiveness and accuracy of such a model. I compare this account with accounts of scientific understanding that explicate understanding in terms of having an explanation of the understood phenomenon. I discuss three distinct types of cases in which scientific understanding does not amount to possessing an explanation of any kind, and argue that the proposed model-based account can accommodate these cases while still retaining a strong link between understanding and explanation. (shrink)

This book presents not only the mathematical concept of probability, but also its philosophical aspects, the relativity of probability and its applications and even the psychology of probability. All explanations are made in a comprehensible manner and are supported with suggestive examples from nature and daily life, and even with challenging math paradoxes.

A phenome occurs through the many pathways of the complex net of interaction between the phenome and its environment; therefore researching and understanding how it arises requires investigation into many possible causes that are in constant interaction with each other. The most comprehensive investigations in biology are the ones in which many biologists from different sub-areas—evolutionary biology, developmental biology, molecular biology, physiology, genetics, epigenetics, ecology—have collaborated. Still, biologists do not always need to collaborate or look for the most comprehensive (...) explanations. A more standard investigation in biology occurs within a single subarea, and uses well-defined experiments with very specific conditions. This paper is about causation and related explanation in plant phenome research and its relevance to Aristotle’s Theory of Four Causes. I argue that there are causes which resemble Aristotle’s formal, material, and efficient causes in phenotype explanation and occurrence; but causes which resemble Aristotle’s final causes occur in phenotype explanation only, not in the occurrence. (shrink)

Reformulating a scientific theory often leads to a significantly different way of understanding the world. Nevertheless, accounts of both theoretical equivalence and scientific understanding have neglected this important aspect of scientific theorizing. This essay provides a positive account of how reformulation changes our understanding. My account simultaneously addresses a serious challenge facing existing accounts of scientific understanding. These accounts have failed to characterize understanding in a way that goes beyond the epistemology of scientific explanation. (...) By focusing on cases in which we have differences in understanding without differences in explanation, I show that understanding does not reduce to explanation. (shrink)

Jaspers’s binary distinction between understanding and explanation has given way first to a proliferation of explanatory levels and now, in John Campbell’s recent work, to a conception of explanation with no distinct levels of explanation and no inbuilt rationality requirement. I argue that there is still a role for understanding in psychiatry and that is to demystify the assumption that the states it concerns are mental. This role can be fulfilled by placing rationality at the (...) heart of understanding without a commitment to the attempt to use rationality to shed light on interpretation and mindedness as though from outside those notions. Delusions still present a significant challenge to philosophical attempts at understanding, but this merely reflects the genuine clinical difficulties such states present. (shrink)

"Explanation and Understanding" (1971) by Georg Henrik von Wright is a modern classic in analytic hermeneutics, and in the philosophy of the social sciences and humanities in general. In this work, von Wright argues against naturalism, or methodological monism, i.e. the idea that both the natural sciences and the social sciences follow broadly the same general scientific approach and aim to achieve causal explanations. Against this view, von Wright contends that the social sciences are qualitatively different from the (...) natural sciences: according to his view, the natural sciences aim at causal explanations, whereas the purpose of the social sciences is to understand their subjects. In support of this conviction, von Wright also puts forward a version of the so-called logical connection argument. -/- Von Wright views scientific explanation along the lines of the traditional covering law model. He suggests that the social sciences, in contrast, utilize what he calls “practical syllogism” in understanding human actions. In addition, von Wright presents in this work an original picture on causation: a version of the manipulability theory of causation. -/- In the four decades following von Wright’s classic work, the overall picture in in the philosophy of science has changed significantly, and much progress has been made in various fronts. The aim of the contribution is to revisit the central ideas of "Explanation and Understanding" and evaluate them from this perspective. The covering law model of explanation and the regularity theory of causation behind it have since then fallen into disfavor, and virtually no one believes that causal explanations even in the natural sciences comply with the covering law model. No wonder then that covering law explanations are not found in the social sciences either. Ironically, the most popular theory of causal explanation in the philosophy of science nowadays is the interventionist theory, which is a descendant of the manipulability theory of von Wright and others. However, this theory can be applied with no special difficulties in both the natural sciences and the social sciences. -/- Von Wright’s logical connection argument and his ideas concerning practical syllogisms are also critically assessed. It is argued that in closer scrutiny, they do not pose serious problems for the view that the social sciences too provide causal explanations. In sum, von Wright’s arguments against naturalism do not appear, in today’s perspective, particularly convincing. (shrink)

Michael Strevens offers an account of causal explanation according to which explanatory practice is shaped by counterbalanced commitments to representing causal influence and abstracting away from overly specific details. In this paper, I challenge a key feature of that account. I argue that what Strevens calls explanatory frameworks figure prominently in explanatory practice because they actually improve explanations. This suggestion is simple but has far-reaching implications. It affects the status of explanations that cite multiply realizable properties; changes the explanatory (...) role of causal factors with small effect; and undermines Strevens’ titular explanatory virtue, depth. This results in greater coherence with explanatory practice and accords with the emphasis that Strevens places on explanatory patterns. Ultimately, my suggestion preserves a tight connection between explanation and the creation of understanding by taking into account explanations’ role in communication. (shrink)

The methodological differences of understanding, versus explaining, have been at the centre of a century-long methodenstreit debate (and disagreement) among philosophers and scientists. Karl Jaspers managed to import this discussion to the realm of psychiatry and psychopathology in a significant, but unresolved, manner. Side-tracked by the advent of various changes in psychiatry during the 20th century, phenomenology and philosophy of psychiatry have made a comeback in the last decades and, since then, developed new contributions to this subject. Quite similarly, (...) the study of time experience, standing on the shoulders of notorious philosophers, has too witnessed a similar renaissance, with groundbreaking developments across several conditions, including depression. The present essay is essentially exploratory, but during its development, after addressing the concepts of the methodenstreit debate, and tackling both meaningful and causal connections behind time dysperception in depression, I argue that understanding, at least in this context and at present time, is not entirely reducible to causal explanations, for some things are only gained in understanding, such as the feeling of being understood and the implications it carries for a therapeutic relationship and the treatment plan. (shrink)

This thesis starts with three challenges to the structuralist accounts of applied mathematics. Structuralism views applied mathematics as a matter of building mapping functions between mathematical and target-ended structures. The first challenge concerns how it is possible for a non-mathematical target to be represented mathematically when the mapping functions per se are mathematical objects. The second challenge arises out of inconsistent early calculus, which suggests that mathematical representation does not require rigorous mathematical structures. The third challenge comes from renormalisation group (...) (RG) explanations of universality. It is argued that the structural mapping between the world and a highly abstract minimal model adds little value to our understanding of how RG obtains its explanatory force. I will address the first and second challenges from the similarity perspective. The similarity account captures representations as similarity relations, providing a more flexible and broader conception of representation than structuralism. It is the specification of the respect and degree of similarity that forges mathematics into a context of representation and directs it to represent a specific system in reality. Structuralism is treatable as a tool for explicating similarity rela-tions set-theoretically. The similarity account, combined with other approaches (e.g., Nguyen and Frigg’s extensional abstraction account and van Fraassen’s pragmatic equivalence), can dissolve the first challenge. Additionally, I will make a structuralist response to the second challenge, and suggestions regarding the role of infinitesimals from the similarity perspective. In light of the similarity account, I will propose the “hotchpotch picture” as a method-ological reflection of our study of representation and explanation. Its central insight is to dissect a representation or an explanation into several aspects and use different theories (that are usually thought of competing) to appropriate each of them. Based on the hotchpotch picture, RG explanations can be dissected to the “indexing” and “inferential” conceptions of explanation, which are captured or characterised by structural mappings. Therefore, structuralism accommodates RG explanations, and the third challenge is resolved. (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 article is an experiment. Consider a minimalist model of cognition (models, means of model-building and history of their evolution). In this model, explanation could be defined as a means allowing to advance: production of models and means of model-building (thus, yielding 1st class understanding), exploration and use of them (2nd class), and/or teaching (3rd class). At minimum, 3rd class understanding is necessary for an explanation to be respected.

The problem of resurrection, one of the most important issues in the philosophy and theology. Some of Muslim philosophers and the vast majority of theologians always discussed about this topic. Some of Muslim philosophers accepted this problem and prove it, but, in quality of occurrence of them, they have differ believe from each other. However, some of Muslim theologians except those who believe in transmogrification, they consider the resurrection to be one of the principle of religion, beside monotheism and prophecy. (...) Moreover, they proved the principle of resurrection through reasons, and explanations them elaborates through the Holy Quran and Prophetic saying (Traditions- Hadith). Avicenna and Suhrawardi have been proving resurrection. Of course, for prove of this problem, they adopted of different manner from Muslim Theologians. Both of philosophers according to codify of ordinary psychological system, have proved and explanation this issue. Thus, for understand of Avicenna and Suhrawardi’s eschatology. First of all, we must understand of their psychological system. Furthermore, in this paper, we will discuss about survival of the soul according to immaterial soul and perfecting of soul as two premises for prove of resurrection. (shrink)

Recently, it has been debated as to whether understanding is a species of explanatory knowledge. Those who deny this claim frequently argue that understanding, unlike knowledge, can be lucky. In this paper I argue that current arguments do not support this alleged compatibility between understanding and epistemic luck. First, I argue that understanding requires reliable explanatory evaluation, yet the putative examples of lucky understanding underspecify the extent to which subjects possess this ability. In the course (...) of defending this claim, I also provide a new account of the kind of ‘grasping’ taken to be central to understanding. Second, I show that putative examples of lucky understanding unwittingly deploy a kind of luck that is compatible with knowledge. Finally, appealing to a number of works on explanation and its attendant epistemology, I argue that alleged instances of lucky understanding that overcome these two obstacles will invariably violate certain norms of explanatory inquiry – our paradigmatic understanding-oriented practice. By contrast, knowledge of the same information is immune to these criticisms. Consequently, if understanding is environmentally lucky, it is always inferior to the understanding that a corresponding case of knowledge would provide. (shrink)

Lange argues that some natural phenomena can be explained by appeal to mathematical, rather than natural, facts. In these “distinctively mathematical” explanations, the core explanatory facts are either modally stronger than facts about ordinary causal law or understood to be constitutive of the physical task or arrangement at issue. Craver and Povich argue that Lange’s account of DME fails to exclude certain “reversals”. Lange has replied that his account can avoid these directionality charges. Specifically, Lange argues that in legitimate DMEs, (...) but not in their “reversals,” the empirical fact appealed to in the explanation is “understood to be constitutive of the physical task or arrangement at issue” in the explanandum. I argue that Lange’s reply is unsatisfactory because it leaves the crucial notion of being “understood to be constitutive of the physical task or arrangement” obscure in ways that fail to block “reversals” except by an apparent ad hoc stipulation or by abandoning the reliance on understanding and instead accepting a strong realism about essence. (shrink)

I want to combine two hitherto largely independent research projects, scientific understanding and mechanistic explanations. Understanding is not only achieved by answering why-questions, that is, by providing scientific explanations, but also by answering what-questions, that is, by providing what I call scientific descriptions. Based on this distinction, I develop three forms of understanding: understanding-what, understanding-why, and understanding-how. I argue that understanding-how is a particularly deep form of understanding, because it is based on (...) mechanistic explanations, which answer why something happens in virtue of what it is made of. I apply the three forms of understanding to two case studies: first, to the historical development of thermodynamics and, second, to the differences between the Clausius and the Boltzmann entropy in explaining thermodynamic processes. (shrink)

In recent work, Andrew T. Forcehimes and Robert B. Talisse correctly note that G.A. Cohen’s fact-insensitivity thesis, properly understood, is explanatory. This observation raises an important concern. If fact-insensitive principles are explanatory, then what role can they play in normative deliberations? The purpose of my paper is, in part, to address this question. Following David Miller, I indicate that on a charitable understanding of Cohen’s thesis, an explanatory principle explains a justificatory fact by completing an otherwise logically incomplete inference. (...) As a result, the explanatory role such a principle plays is inseparable from its status as a (not necessarily successful) justificatory reason. With this interpretation in hand, I then proceed to argue that Lea Ypi’s and Robert Jubb’s recent criticisms fail to undermine Cohen’s thesis, and that fact-insensitive principles, once discovered, are especially helpful for purposes of deliberation in circumstances characterized by changing and changeable feasibility constraints. (shrink)

This paper aims to investigate the possibility to define Ricoeur’s dialectic between explanation and understanding within the horizon of Heidegger and Gadamer’s hermeneutics of “parallel discourse” as proposed by Furia Valori. The paper is focused on the possibility to understand the alternative between explanation and understanding as a mediation which leaves the two terms in an alternative but parallel course of meaning which lies undisclosed under the tensions of language. In this sense, this contribution aims to (...) show a deep connection of the whole investigation proposed by Ricoeur starting from his analysis of poetic language until his investigation on alterity. (shrink)

Review of Henk de Regt's "Understanding Scientific Understanding".

This paper offers a normative account of the speech act of explanation with understanding as its norm. The previous accounts of the speech act of explanation rely on the factive notion of understanding and maintain that proper explanations require knowledge. I argue, however, that such accounts are too demanding and do not reflect the everyday practice of explanation and the attribution of understanding. Instead, I argue that the non-factive, objectual attitude of understanding is (...) sufficient for a proper explanation. On the normative level, explanations are governed by an audience-centred norm, i.e., they are sensitive to the epistemic position of the audience. According to the proposed account, an explanation is a communicative act in which one puts the audience in a position to understand the explained phenomenon. This proposal fits into the recent wave of applications of the normative account and makes space for the pluralism of illocutionary acts. (shrink)

Scientific explanations must bear the proper relationship to the world: they must depict what, out in the world, is responsible for the explanandum. But explanations must also bear the proper relationship to their audience: they must be able to create human understanding. With few exceptions, philosophical accounts of explanation either ignore entirely the relationship between explanations and their audience or else demote this consideration to an ancillary role. In contrast, I argue that considering an explanation’s communicative role (...) is crucial to any satisfactory account of explanation. (shrink)

Philosophy of Science in Practice (PoSiP) has the “practice of science” as its object of research. Notwithstanding, it does not possess yet any general or specific methodology in order to achieve its goal. Instead of sticking to one protocol, PoSiP takes advantage of a set of approaches from different fields. This thesis takes as a starting point a collaborative and interdisciplinary research between two Ph.D. students from distinct areas: ecology and philosophy. This collaboration showed how a scientist could benefit from (...) philosophy of science (in this case study the philosophical approach of. mechanistic explanation) to construct a model of his explanandum, by means of heuristics approach (heuristics as an instrument but also a methodological approach) and, also allowed philosophy of science take a closer look into the scientific practice to investigate how explanations are constructed and how scientific understanding is achieved (in this thesis, with a dialogue with the contextual theory of scientific understanding). As a result, it is asserted that (i) mechanistic explanation possess limitations but may work as epistemic instruments that mediate between theories, data, scientists, and models; (ii) explanation construction and scientific understanding deeply relies on intuition; (iii) scientific understanding is an instant, a moment, a temporary achievement, and its process may happen in degrees; (iv) philosophy of science, by means of heuristics process, may enhance scientists’ epistemic virtues, improving his academic skills, by means of self-evaluation. This research shows that interdisciplinarity and collaborative work can act, through heuristics, as a toolbox for PoSiP to achieve its goal of understanding how science is made. Despite its success, an analysis of this collaborative practice leads to some fundamental issues. First, philosophy of science in practice is a philosophy of past practice, in that the majority of examples used by mainstream PoSiP come from the final products of science. Second, is it philosophy of [science in practice] or philosophy of science [in practice]? How to practice philosophy of scientific practice and, how to practice interdisciplinarity in the philosophy of scientific practices simultaneously to its scientific activity? This research exposes the epistemic role heuristics and interdisciplinarity possess as methodological toolboxes for philosophy of science in practice. It is defended that other ways of constructing sciences would be through different dynamics such as collaborative networks and interdisciplinarity research contributing to the vision of Trading Zones from Peter Galison, in which bridges between specialized disciplines are created in order to exchange knowledge and information. (shrink)

We have reached the peculiar situation where the advance of mainstream science has required us to dismiss as unreal our own existence as free, creative agents, the very condition of there being science at all. Efforts to free science from this dead-end and to give a place to creative becoming in the world have been hampered by unexamined assumptions about what science should be, assumptions which presuppose that if creative becoming is explained, it will be explained away as an illusion. (...) In this paper it is shown that this problem has permeated the whole of European civilization from the Ancient Greeks onwards, leading to a radical disjunction between cosmology which aims at a grasp of the universe through mathematics and history which aims to comprehend human action through stories. By going back to the Ancient Greeks and tracing the evolution of the denial of creative becoming, I trace the layers of assumptions that must in some way be transcended if we are to develop a truly post-Egyptian science consistent with the forms of understanding and explanation that have evolved within history. (shrink)

Kant argues in the Critique of the Teleological Power of Judgment that the first stage in resolving the problem of teleology is conceiving it correctly. He explains that the conflict between mechanism and teleology, properly conceived, is an antinomy of the power of judgment in its reflective use regarding regulative maxims, and not an antinomy of the power of judgment in its determining use regarding constitutive principles. The matter in hand does not concern objective propositions regarding the possibility of objects (...) or actual features of certain objects, namely, organisms. It is rather a methodological issue as to the appropriate way to explain the generation, development, and function of organisms. Taken in this manner as subjective maxims guiding the explanation and inquiry of organisms, the principles of mechanism and teleology need not necessarily be seen as contradictorily opposed but instead can be combined in the study of organisms. This, however, is not enough to complete the analysis of the antinomy of the teleological power of judgment. In order to show that there is an antinomy in this case, Kant has to establish that both seemingly conflicting maxims are necessary and natural to the human mind. He does it by grounding them in the ‘special character’ or peculiarity (Eigentümlichkeit) of the human understanding. However, it is not entirely clear just what exactly this peculiarity of the human understanding is. Paul Guyer argues that Kant suggests two different accounts of the peculiarity of the human intellect. According to one account, this peculiarity consists in the fact that our understanding forms general concepts and according to another, in its propensity to proceed from the parts to the whole. I will argue in this paper that Kant puts forward a single account, in which the combination of these two features demonstrate the peculiarity of the human understanding manifested in the encounter with organisms. This account explains the necessity of the regulative maxims of mechanism and teleology, and thus completes Kant’s analysis of the antinomy of the teleological power of judgment. (shrink)

Russellians, Relationists, and Fregeans disagree about the nature of propositional-attitude content. We articulate a framework to characterize and evaluate this disagreement. The framework involves two claims: i) that we should individuate attitude content in whatever way fits best with the explanations that characteristically appeal to it, and ii) that we can understand those explanations by analogy with other ‘higher-level’ explanations. Using the framework, we argue for an under-appreciated form of Russellianism. Along the way we demonstrate that being more explicit about (...) the framework in which debates about attitude content take place allows us to more precisely characterize the space of possible positions and the dialectic between them. (shrink)

Mathematicians distinguish between proofs that explain their results and those that merely prove. This paper explores the nature of explanatory proofs, their role in mathematical practice, and some of the reasons why philosophers should care about them. Among the questions addressed are the following: what kinds of proofs are generally explanatory (or not)? What makes a proof explanatory? Do all mathematical explanations involve proof in an essential way? Are there really such things as explanatory proofs, and if so, how do (...) they relate to the sorts of explanation encountered in philosophy of science and metaphysics? (shrink)

Wittgenstein’s concepts shed light on the phenomenon of schizophrenia in at least three different ways: with a view to empathy, scientific explanation, or philosophical clarification. I consider two different “positive” wittgensteinian accounts―Campbell’s idea that delusions involve a mechanism of which different framework propositions are parts, Sass’ proposal that the schizophrenic patient can be described as a solipsist, and a Rhodes’ and Gipp’s account, where epistemic aspects of schizophrenia are explained as failures in the ordinary background of certainties. I argue (...) that none of them amounts to empathic-phenomenological understanding, but they provide examples of how philosophical concepts can contribute to scientific explanation, and to philosophical clarification respectively. (shrink)

This chapter gives an overview of the various themes and issues discussed in the volume. It includes summaries of all chapters and places the contributions, some of which are part of a critical conversation format, in the context of the larger literature and debates.

I give an account of what makes an event a coincidence. -/- I start by critically discussing a couple of other approaches to the notion of coincidence -- particularly that of Lando (2017) -- before developing my own view. The central idea of my view is that the correct understanding of coincidences is closely related to our understanding of the correct 'level' or 'grain' of explanation. Coincidences have a kind of explanatory deficiency — if they did not (...) have this deficiency they would not be coincidences. This deficiency, I claim, is the same explanatory deficiency as when we give low-level explanations of special science phenomena. Such explanations are typically too specific and not robust enough. I claim that there is this same badness in purported explanations of coincidences. -/- I cash out this idea sketching an account of explanatory goodness — an account of what makes explanations better or worse -- and using that to give a more precise account of coincidences. (shrink)

This paper applies a pragmatic-retorical theory of explanation and interpretation to understand the methodological perspectivism of the social sciences.

As much as assumptions about mechanisms and mechanistic explanation have deeply affected psychology, they have received disproportionately little analysis in philosophy. After a historical survey of the influences of mechanistic approaches to explanation of psychological phenomena, we specify the nature of mechanisms and mechanistic explanation. Contrary to some treatments of mechanistic explanation, we maintain that explanation is an epistemic activity that involves representing and reasoning about mechanisms. We discuss the manner in which mechanistic approaches serve (...) to bridge levels rather than reduce them, as well as the different ways in which mechanisms are discovered. Finally, we offer a more detailed example of an important psychological phenomenon for which mechanistic explanation has provided the main source of scientific understanding. (shrink)

Humans are capable of understanding an incredible variety of actions performed by other humans. Even though these range from primary biological actions, like eating and fleeing, to acts in parliament or in poetry, humans generally can make sense of each other’s actions. Understanding other people’s actions is called action understanding, and it can transcend differences in race, gender, culture, age, and social and historical circumstances. Action understanding is the cognitive ability to make sense of another person’s (...) action by integrating perceptual information about the behavior with knowledge about the immediate and sociocultural contexts of the action and with one’s own experience. Scholars are increasingly dissatisfied with monodisciplinary approaches to understanding human action. Such one-sidedness can rest upon various motives. For example, “hermeneutic interpretations” of action understanding tend to emphasize historical and cultural influences while overlooking that ultimately such influences depend upon individual cognitive processes. This has provoked criticism of the corresponding assumption that humans are born as a “blank slate” and that culture is solely responsible for all cognitive contents. However, such critique in turn easily slides into an overemphasis on the biology of human nature and a denial of sociocultural influences on cognition (Pinker, 2003). Fortunately, recent interdisciplinary endeavors have shown that an interdisciplinary approach is preferable when investigating complex functions like action understanding. The purpose of this chapter is to propose a “mechanism-based explanation” of action understanding that will provide a theoretical framework for integrating various and often conflicting disciplinary insights. (shrink)

In the domain of cognitive science, understanding consciousness through the investigation of neural correlates has been the primary research approach. The exploration of neural correlates of consciousness is focused on identifying these correlates and reducing consciousness to a physical phenomenon, embodying a form of reductionist physicalism. This inevitably leads to challenges in explaining consciousness itself. The computational interpretation of consciousness takes a functionalist view, grounded in physicalism, and models conscious experience as a cognitive function, elucidated through computational means. This (...) paper posits that predictive processing offers a fresh paradigm for comprehending human cognition and serves as a neural foundation for the computational elucidation of consciousness. Additionally, free energy theory, as a mathematical construct explaining the predictive processing model, furnishes a theoretical scaffold for understanding consciousness computationally. (shrink)

In empirically informed research on action explanation, philosophers and developmental psychologists have recently proposed a teleological account of the way in which we make sense of people’s intentional behavior. It holds that we typically don’t explain an agent’s action by appealing to her mental states but by referring to the objective, publically accessible facts of the world that count in favor of performing the action so as to achieve a certain goal. Advocates of the teleological account claim that this (...) strategy is our main way of understanding people’s actions. I argue that common motivations mentioned to support the teleological account are insufficient to sustain its generalization from children to adults. Moreover, social psychological studies, combined with theoretical considerations, suggest that we do not explain actions mainly by invoking publically accessible, reason-giving facts alone but by ascribing mental states to the agent. (shrink)

The paper considers three questions. First, what is the connection between economics and agency? It is argued that causation and explanation in economics fundamentally depend on agency. So a philosophical understanding of economic explanation must be sensitive to an understanding of agency. Second, what is the connection between agency and causation? A causal view of agency-involving explanation is defended against a number of arguments from the resurgent noncausalist tradition in the literature on agency and action- (...) class='Hi'>explanation. If agency is fundamental to economic explanation, it is argued, then so is causation. Third, what is the connection between causal explanation and the natural sciences? It is argued that, though the explanations given in economics and other social sciences are causal explanations, they are different in kind from the causal explanations of the natural sciences. On the one hand, then, the causal explanations of the social sciences are irreducible to those found in the natural sciences. On the other hand, the causal relations described by the social sciences are not completely autonomous; they do not float free of, or operate independently from, the causal relations charted by the natural sciences. (shrink)

When someone does something for a reason, what are the reasons for which she does what she does? What is her ‘motivating reason’, as it is sometimes put? The simple answer is: it depends on what is meant by ‘motivating reason’. Non-Psychologists hold that motivating reasons are what the agent believes. I have shown that given that we understand ‘motivating reasons’ as what I term 'grounds', this is quite correct, as what we believe is what plays the role of a (...) ground. However, we have to be careful not to confuse the role of a ground and the role of an explanans. For the conflation of those two roles can occlude the truth in Non-Psychologism. What the Non-Psychologist about Grounds should say is that what plays the role of an explanans, when someone acts on a ground, is a motivation-fact. She should also say that there are two kinds of motivation-facts: those that include normative reasons and those that do not. (shrink)

Some scientific explanations appear to turn on pure mathematical claims. The enhanced indispensability argument appeals to these ‘mathematical explanations’ in support of mathematical platonism. I argue that the success of this argument rests on the claim that mathematical explanations locate pure mathematical facts on which their physical explananda depend, and that any account of mathematical explanation that supports this claim fails to provide an adequate understanding of mathematical explanation.

Thinking about metaphysical problems in terms of grounding has its uses, but those uses are limited. This paper argues against attempts to see issues of grounding as having a central and organising role in metaphysical inquiry. After arguing that grounding does some useful work, this paper will argue that grounding is neither the central tool for understanding explanation in metaphysics, nor defines the subject matter of metaphysics. Instead, grounding tracks only some of the metaphysical explanations we should be (...) looking for, and is only one among many of the topics metaphysics aims to address. (shrink)

In the last couple of years, a few seemingly independent debates on scientific explanation have emerged, with several key questions that take different forms in different areas. For example, the questions what makes an explanation distinctly mathematical and are there any non-causal explanations in sciences (i.e., explanations that don’t cite causes in the explanans) sometimes take a form of the question of what makes mathematical models explanatory, especially whether highly idealized models in science can be explanatory and in (...) virtue of what they are explanatory. These questions raise further issues about counterfactuals, modality, and explanatory asymmetries: i.e., do mathematical and non-causal explanations support counterfactuals, and how ought we to understand explanatory asymmetries in non-causal explanations? Even though these are very common issues in the philosophy of physics and mathematics, they can be found in different guises in the philosophy of biology where there is the statistical interpretation of the Modern Synthesis theory of evolution, according to which the post-Darwinian theory of natural selection explains evolutionary change by citing statistical properties of populations and not the causes of changes. These questions also arise in philosophy of ecology or neuroscience in regard to the nature of topological explanations. The question here is can the mathematical (or more precisely topological) properties in network models in biology, ecology, neuroscience, and computer science be explanatory of physical phenomena, or are they just different ways to represent causal structures. The aim of this special issue is to unify all these debates around several overlapping questions. These questions are: are there genuinely or distinctively mathematical and non-causal explanations?; are all distinctively mathematical explanations also non-causal; in virtue of what they are explanatory; does the instantiation, implementation, or in general, applicability of mathematical structures to a variety of phenomena and systems play any explanatory role? This special issue provides a platform for unifying the debates around several key issues and thus opens up avenues for better understanding of mathematical and non-causal explanations in general, but also, it will enable even better understanding of key issues within each of the debates. (shrink)

Given the diversity of explanatory practices that is typical of the sciences a healthy pluralism would seem to be desirable where theories of explanation are concerned. Nevertheless, I argue that explanations are only unifying in Kitcher's unificationist sense if they are backed by the kind of understanding of underlying mechanisms, dispositions, constitutions, and dependencies that is central to a causalist account of explanation. This case can be made through analysis of Kitcher's account of the conditions under which (...) apparent improvements in unifying power may be judged spurious. But to clarify what is at issue I consider an archaeological case in which debate about the merits of an ambitious explanatory account reproduces exactly the intuitions that divide Salmon and Kitcher. The case in question is the “demic-diffusion” account of contemporary linguistic diversity advanced by Renfrew in the late 1980s: the thesis that the diffusion of agricultural populations, itself attributed to demographic pressure, was responsible for the spread of the ancestral root languages (e.g., proto-Indo-Eurpoean) that account for the existence and distribution of linguistic macrofamilies. The credibility of this powerfully unifying argument pattern depends entirely on the plausibility of its claims about the conditions and mechanisms actually responsible for the explanandum, the spread of agriculture, and not on an elaboration of its unificationist virtues. (shrink)

In this paper significant challenges are raised with respect to the view that explanation essentially involves unification. These objections are raised specifically with respect to the well-known versions of unificationism developed and defended by Michael Friedman and Philip Kitcher. The objections involve the explanatory regress argument and the concepts of reduction and scientific understanding. Essentially, the contention made here is that these versions of unificationism wrongly assume that reduction secures understanding.

Many philosophers and non-philosophers who reflect on the causal antecedents of human action get the impression that no agent can have morally relevant freedom. Call this the ‘non-existence impression.’ The paper aims to understand the (often implicit) reasoning underlying this impression. On the most popular reconstructions, the reasoning relies on the assumption that either an action is the outcome of a chance process, or it is determined by factors that are beyond the agent’s control or which she did not bring (...) about. I argue that arguments based on this premise fail to apply to some possible agents for whom the non-existence impression arises. On the alternative reconstruction I offer, the impression rests on the assumption that free will requires being involved in the ultimate explanation of one’s actions in a novel sense in which nothing can be involved in the ultimate explanation of anything. (shrink)

I develop a theory of action inspired by a Heideggerian conception of concern, in particular for phenomenologically-inspired Embodied Cognition (Noë 2004; Wheeler 2008; Rietveld 2008; Chemero 2009; Rietveld and Kiverstein 2014). I proceed in three steps. First, I provide an analysis that identifies four central aspects of action and show that phenomenologically-inspired Embodied Cognition does not adequately account for them. Second, I provide a descriptive phenomenological analysis of everyday action and show that concern is the best candidate for an (...) class='Hi'>explanation of action. Third, I show that concern, understood as the integration of affect and embodied understanding, allows us to explain the different aspects of action sufficiently. (shrink)

The relationship between philosophy and science in contemporary times is closer than ever. From the methodology perspective, scientific and philosophical research has a clear sequential relationship. It is highlighted in the following aspects: 1. the methodology of scientific research, including theoretical assumptions and data modeling, parallels with apparent similarities in conceptual analysis and logical deduction in philosophy;2. consistency of analytical argumentation methods in scientific research and philosophical research;3. naturalism is currently a research approach that both scientific and philosophical research adopt. (...) There has been a significant dispute over the relationship between philosophy and science among contemporary philosophers. This dispute focuses on the impact of scientific development on philosophy research. Nowadays, no one would deny the existence of this impact, but there is no consensus on the impact's nature, scope, and role. Wittgenstein's conception of certainty can provide valuable insights to understand the relationship between philosophy and science. In addition, we conclude the pragmatic turn in cognitive science because we misinterpret the cognitive scientists' emphasis on action as a practical claim and interpret the cognitive scientists' views with pragmatism. The theoretical analysis and research suggestions philosophers provide are becoming essential focuses in contemporary artificial intelligence research, including the interpretability of computer technology, the ethical norms of artificial intelligence technology, and the possible conception of human beings in the future. The interdisciplinary study of science and philosophy will achieve more significant development. In sum, understanding the nature of philosophy can be given a new explanation from a future perspective. The future outlook here refers to the starting point from possible world scenarios that can be conceived and traced back to all the facts happening in the present world, thereby giving an appropriate explanation to the real world. (shrink)