This paper aims to draw attention to an explanatory problem posed by the existence of multiply realized or universal behavior exhibited by certain physical systems. The problem is to explain how it is possible that systems radically distinct at lower-scales can nevertheless exhibit identical or nearly identical behavior at upper-scales. Theoretically this is reflected by the fact that continuum theories such as fluid mechanics are spectacularly successful at predicting, describing, and explaining fluid behaviors despite the fact that (...) they do not recognize the discrete nature of fluids. A standard attempt to reduce one theory to another, is shown to fail to answer the appropriate question about autonomy. (shrink)

I present an argument against the view that the additivity of mass (i.e., the property according to which a composite object’s mass is the “sum” of its parts’) is metaphysically independent of dynamical laws governing massive bodies. In particular, taking additivity to be independent of dynamics commits you to widespread unexplained correlations between the mass properties of composites and the dynamic behavior of massive bodies. The second half of the paper extends this explanatory worry, showing that the very same (...) considerations apply to aspects of mass’s quantitative structure. This gives rise to a new and powerful objection to certain influential theories about the fundamental structure of physical quantities —most notably the magnitude realism of Peacocke (2019) and the second-order absolutist accounts defended by Mundy (1987) and Eddon (2013b). (shrink)

Cognitivists about practical reason hold that we can explain why certain wide-scope requirements of practical rationality are true by appealing to certain epistemic requirements. Extant discussions of cognitivism focus solely on two claims. The first is the claim that intentions involve beliefs. The second is that whenever your intentions are incoherent in certain ways, you will be epistemically irrational. Even if the cognitivist successfully defends these claims, she still needs to show that they entail certain practical requirements. That is, she (...) has to show that the epistemic requirements explain the practical requirements. In this paper I argue that it is not plausible that the epistemic requirements explain the practical requirements. This shows that the cognitivists' project will fail even if we grant their controversial views about the relationship between the practical and epistemic. (shrink)

Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the classical (...) problem of opacity in artificial neural networks (ANNs) explodes with the adoption of current Deep Learning techniques [LeCun, Bengio, Hinton, 2015]. In this paper we argue that the explanatory deficit of such techniques represents an important problem, that limits their adoption in the cognitive modelling and computational cognitive science arena. In particular we will show how the current attempts of providing explanations of the deep nets behaviour (see e.g. [Ritter et al. 2017] are not satisfactory. As a possibile way out to this problem, we present two different research strategies. The first strategy aims at dealing with the opacity problem by providing a more abstract interpretation of neural mechanisms and representations. This approach is adopted, for example, by the biologically inspired SPAUN architecture [Eliasmith et al., 2012] and by other proposals suggesting, for example, the interpretation of neural networks in terms of the Conceptual Spaces framework [Gärdenfors 2000, Lieto, Chella and Frixione, 2017]. All such proposals presuppose that the neural level of representation can be considered somehow irrelevant for attacking the problem of explanation [Lieto, Lebiere and Oltramari, 2017]. In our opinion, pursuing this research direction can still preserve the use of deep learning techniques in artificial cognitive models provided that novel and additional results in terms of “transparency” are obtained. The second strategy is somehow at odds with respect to the previous one and tries to address the explanatory issue by avoiding to directly solve the “opacity” problem. In this case, the idea is that one of resorting to pre-compiled plausible explanatory models of the word used in combination with deep-nets (see e.g. [Augello et al. 2017]). We argue that this research agenda, even if does not directly fits the explanatory needs of Computational Cognitive Science, can still be useful to provide results in the area of applied AI aiming at shedding light on the models of interaction between low level and high level tasks (e.g. between perceptual categorization and explanantion) in artificial systems. (shrink)

Recently, several philosophers have defended an explanatory argument that supposedly provides novel empirical grounds for accepting the type identity theory of phenomenal consciousness. They claim that we are justified in believing that the type identity thesis is true because it provides the best explanation for the correlations between physical properties and phenomenal properties. In this paper, I examine the actual role identities play in science and point out crucial shortcomings in the explanatory argument. I show that the supporters (...) of the argument have failed to show that the identity thesis provides a satisfactory explanation for the correlations between physical and phenomenal properties. Hence, the explanatory argument, as it stands, does not provide new grounds for accepting the type identity theory. (shrink)

In this paper, I present the problem of scientific change as an explanatory problem, that is, as a philosophical problem concerning what logical forms of explanation we should employ in order to un...

Explanatory Optimism about the Hard Problem of Consciousness argues that despite the worries of explanatory pessimists, consciousness can be fully explained in “easy” scientific terms. The widespread intuition that consciousness poses a hard problem is plausibly based on how consciousness appears to us in first-person access. The book offers a debunking argument to undercut the justificatory link between the first-person appearances and our hard problem intuitions. -/- The key step in the debunking argument involves the (...) development and defense of an empirical model of first-person access: Automated Compression Theory (ACT). ACT holds that first-person access to consciousness is accomplished by automated accessing of compressed sensory information. Because of the distorting nature of this compressed access, it seems to subjects that consciousness possesses “exceptional” properties—properties leading to the hard problem—even though no such properties are present. If there are no exceptional properties to explain, then an explanation in easy terms can fully account for conscious experience. The book presents a range of empirical evidence for ACT and concludes that the burden of proof is now on the pessimists to show why we shouldn’t be optimistic about explaining consciousness. (shrink)

False consciousness requires a general explanation for why, and how, oppressed individuals believe propositions against, as opposed to aligned with, their own well-being in virtue of their oppressed status. This involves four explanatory desiderata: belief acquisition, content prevalence, limitation, and systematicity. A social constructionist approach satisfies these by understanding the concept of false consciousness as regulating social research rather than as determining the exact mechanisms for all instances: the concept attunes us to a complex of mechanisms conducing oppressed individuals (...) to mistake social understandings of themselves as natural self-understandings—the limits lie where these overlap (sometimes), or are entirely absent. (shrink)

Theories of explanation need to account for a puzzling feature of our explanatory practices: the fact that we prefer explanations that are relatively abstract but only moderately so. Contra Franklin-Hall ([2016]), I argue that the interventionist account of explanation provides a natural and elegant explanation of this fact. By striking the right balance between specificity and generality, moderately abstract explanations optimally subserve what interventionists regard as the goal of explanation, namely identifying possible interventions that would have changed the explanandum.

I argue that recent attempts to deflect Access Problems for realism about a priori domains such as mathematics, logic, morality, and modality using arguments from evolution result in two kinds of explanatory overkill: the Access Problem is eliminated for contentious domains, and realist belief becomes viciously immune to arguments from dispensability, and to non-rebutting counter-arguments more generally.

I argue that the hard problem of consciousness occurs only in very limited contexts. My argument is based on the idea of explanatory perspectivalism, according to which what we want to know about a phenomenon determines the type of explanation we use to understand it. To that effect the hard problem arises only in regard to questions such as how is it that concepts of subjective experience can refer to physical properties, but not concerning questions such as (...) what gives rise to qualia or why certain brain states have certain qualities and not others. In this sense we could for example fully explain why certain brain processes have certain subjective qualities, while we still don’t have a viable theory of concepts that explains co-referentiality of phenomenal and physical concepts. Given this limitation, the hard problem doesn’t pose a problem for the empirical study of consciousness. (shrink)

Philip Kitcher has proposed a theory of explanation based on the notion of unification. Despite the genuine interest and power of the theory, I argue here that the theory suffers from a fatal deficiency: It is intrinsically unable to account for the asymmetric structure of explanation, and thus ultimately falls prey to a problem similar to the one which beset Hempel's D-N model. I conclude that Kitcher is wrong to claim that one can settle the issue of an argument's (...) explanatory force merely on the basis of considerations about the unifying power of the argument pattern the argument instantiates. (shrink)

In adversarial problem solving (APS), one must anticipate, understand and counteract the actions of an opponent. Military strategy, business, and game playing all require an agent to construct a model of an opponent that includes the opponent's model of the agent. The cognitive mechanisms required for such modeling include deduction, analogy, inductive generalization, and the formation and evaluation of explanatory hypotheses. Explanatory coherence theory captures part of what is involved in APS, particularly in cases involving deception.

The problem of mental causation epitomizes problems in the metaphysics of mind. Tyler Burge once suggested that it could be solved by taking ordinary explanatory practice more seriously. Jaegwon Kim criticized this suggestion: a solution to the problem requires a workable metaphysics of mental causation, and taking ordinary explanatory practice seriously falls short of providing that. Burge replied by gesturing toward a metaphysics that takes mental and physical causation to be different, noncompeting forms of causation. But (...) what does it mean for there to be different forms of causation? How are they identified and distinguished? And what ensures that mental and physical causation are different and noncompeting? I attempt to answer these questions by appeal to hylomorphism, a metaphysical framework that takes structure to be a basic ontological and explanatory principle. I argue that hylomorphism enables us to develop Burge’s basic insights into a workable metaphysics of mental causation that solves the problem. (shrink)

It has been suggested that certain problems may be unsolvable because of the mind's cognitive structure, but we may wonder what problems, and exactly why. The ultimate origin of the universe and the mind-body problem seem to be two such problems. As to why, Colin McGinn has argued that the mind-body problem is unsolvable because any theoretical concepts about the brain will be observation-based and unable to connect to unobservable subjective experience. McGinn's argument suggests a requirement of imagability (...) -- an observation basis -- for physical causal explanation that cannot be met for either of these problems. Acausal descriptions may be possible but not the causal analyses that provide the greatest explanatory satisfaction, a psychological phenomenon that seems tied to the strength of the underlying observation basis but is affected by other factors as well. (shrink)

An important part of the mind-brain problem arises because sentience and consciousness seem inherently resistant to scientific explanation and understanding. The solution to this dilemma is to recognize, first, that scientific explanation can only render comprehensible a selected aspect of what there is, and second, that there is a mode of explanation and understanding, the personalistic, quite different from, but just as viable as, scientific explanation. In order to understand the mental aspect of brain processes - that aspect we (...) know about as a result of having relevant neurological processes occur in our own brain - we need to avail ourselves of personalistic explanation, irreducible to scientific explanation. The problem of explaining and understanding why experiential or mental aspects of brain processes or things should be correlated with certain physical processes, things or states of affairs is a non-problem because there is no kind of explanation possible in terms of which an explanation could be couched. A physical theory, amplified to include the experiential, might be predictive but would, necessarily, cease to be explanatory; and an amplified personalistic explanation could not succeed either. There is, in short, an explanation as to why there cannot be an explanation of correlations between physical and mental aspects of processes going on inside our heads. (shrink)

Taking into account the difficulties that all attempts at a solution of the problem of causal-explanatory exclusion have experienced, we analyze in this paper the chances that mind-body causation is a case of overdetermination, a line of attack that has scarcely been explored. Our conclusion is that claiming that behaviors are causally overdetermined cannot solve the problem of causal-explanatory exclusion. The reason is the problem of massive coincidence, that can only be avoided by establishing a (...) relation between mind and body; that is, by denying overdetermination. The only way to defend that mind-body causation is a case of overdetermination would be by denying any modal force whatever to the principle of the causal closure of the physical, and this is a claim we would not like to reject. (shrink)

Taking into account the difficulties that all attempts at a solution of the problem of causal-explanatory exclusion have experienced, we analyze in this paper the chances that mind-body causation is a case of overdetermination, a line of attack that has scarcely been explored. Our conclusion is that claiming that behaviors are causally overdetermined cannot solve the problem of causal-explanatory exclusion. The reason is the problem of massive coincidence, that can only be avoided by establishing a (...) relation between mind and body; that is, by denying overdetermination. The only way to defend that mind-body causation is a case of overdetermination would be by denying any modal force whatever to the principle of the causal closure of the physical, and this is a claim we would not like to reject. (shrink)

This thesis evaluates several powerful arguments that not only deny that brain states and conscious states are one and the same thing, but also claim that such an identity is unintelligible. I argue that these accounts do not undermine physicalism because they don’t provide any direct or independent justification for their tacit assumptions about a link between modes of presentation and explanation. In my view intelligibility of psychophysical identity should not be based exclusively on the analysis of meaning. The main (...) concern then should be why expect that fully intelligible explanation must be based on the descriptions of the causal roles as modes of presentation. To this effect I propose that we examine "psychological concepts". The psychological concepts are concepts that use descriptions of the functional roles but are about qualities of our experiences. I propose to analyze them in quality space models in order to unveil why phenomenal concepts are expected to refer via descriptions of the causal or functional roles. The quality space should be understood here as a multidimensional space consisting of several axes of relative similarity and differences among the structures of ordering in different modalities of conscious experience. On my proposal it is possible that some axes in the quality space consist of their own quality spaces so we could “zoom in” and “zoom out” into the descriptions of the functional roles and see more clearly what the explanation of certain aspects of consciousness looks like when thought of in terms of psychological concepts. (shrink)

Classical models of decision making deal fairly well with uncertainty, where settings are well-structured in terms of goals, alternatives, and consequences. Conversely, the typical ill-structured nature of strategy choices remains a challenge for extant models. Such cases can hardly build on the past, and their novelty makes the prediction of consequences a very difficult and poorly robust task. The weakness of the classical expected utility model in representing such problems has not been adequately solved by recent extensions. In this paper (...) we offer an explanatory coherence model for decision making in ill-structured problems. We model alternatives as sets of concurrent causal explanations of reality that act as justifications for action. According to these premises, choice is based on an evaluation of the internal coherence and the consistency of competing explanations of the available evidence. This model is psychologically grounded on causal inference and builds on the connectionist tradition of explanatory coherence. To illustrate the model, we consider the decision of investing in a new technology and we discuss how changes in the structure of alternatives may impact on the solution. We show how the final choice depends on collecting the relevant evidence, making the suitable hypotheses, and drawing the consistent causal explanations linking the two. (shrink)

Recent philosophy has seen a resurgence of the realist view of sensible qualities such as colour. The view holds that experienced qualities are properties of the objects in the physical environment, not mentally instantiated properties like qualia or merely intentional, illusory ones. Some suggest that this move rids us of the explanatory gap between physical properties and the qualitative features of consciousness. Others say it just relocates the problem of qualities to physical objects in the environment, given that (...) such qualities cannot be derived from the non-qualitative properties of objects, and it does not resolve the problem of consciousness either. I argue that such an outcome is welcome: if the physical world is full of explanatory gaps, then the mind–body explanatory gap is not so special. Moreover, the explanatory gaps regarding qualities of objects are less puzzling than the brain-qualia gap. In order to counter the usual worries concerning realism about objective qualities, I introduce ‘imperfect realism’ as an alternative to colour pluralism and complex reductionism, which accommodates realism in the face of widespread perceptual error. I conclude with a discussion of how this ‘multiple-gaps view’ sits better with a naturalistic framework compared to the Galilean-Cartesian account of qualities. (shrink)

Concern about two problems runs through the work of davidson: the problem of accounting for the "explanatory force" of rational explanations, and the problem posed for materialism by the apparent anomalousness of psychological events. davidson believes that his view of mental causation, imbedded in his theory of "anomalous monism," can provide satisfactory answers to both questions. however, it is argued in this paper that davidson's program contains a fundamental inconsistency; that his metaphysics, while grounding the doctrine of (...) anomalous monism, makes impossible a successful response to the problem of explanatory force in terms of a causal theory of action. (shrink)

According to the truth-conduciveness problem of coherentism, the coherence theory of justification can hardly show that coherentist justification is truth-conducive. This problem is generally conceived as the most recalcitrant problem with the coherence theory. The purpose of this paper is to show that it does not pose a serious problem for a certain version of coherentism, namely a Sellarsian explanatory coherence theory of justification combined with the deflationary theory of truth. On this version of coherentism, (...) our epistemic goal is to gradually improve our conceptual framework so as to maximize its explanatory coherence, and there is no substantial norm of truth independent of the norms of justification, so that we cannot evaluate the truth-conduciveness of a belief independently of the norms of justification. I argue that this version of coherentism can cope with the truth-conduciveness problem. (shrink)

Two decades in, whether we are making any progress towards solving, or even explaining away, what David Chalmers calls the ‘hard’ problem of consciousness is as controversial as ever. This paper aims to argue that there are, in actual fact, two explanatory targets associated with the hard problem. Moreover, this in turn has repercussions for how we assess the explanatory merits of any proposed solution to the problem. The paper ends with a brief exposition of (...) how the present distinction goes beyond similar ones already made by respondents to Joseph Levine's explanatory gap. (shrink)

Foundationalist theories of justification for science were undermined by the theory-ladeness thesis, which has affinities with coherentist epistemologies. A challenge for defenders of coherentist theories of scientific justification is to specify coherence relations relevant to science and to show how these relations make the truth of their bearers likely. Coherence relations include characteristics that pick out better explanations in the implementation of abductive arguments. Empiricist philosophers have attacked abductive reasoning by claiming that explanatory virtues are pragmatic, having no implications (...) regarding truth. However, empiricist's basic beliefs are subject to the same challenges facing abduction, both of which can be met by citing causally coherent etiologies, which are commonplace in biological explanations, and by demonstrating the relevance of causal coherence to truth. (shrink)

At the start of the 20th century the question of whether life could be explained in purely me- chanical terms was as hotly debated as the mind-body problem is today. Two factions opposed each other: Biological mechanists claimed that the properties characteristic of living organisms could be ex- plained mechanistically, in the way the behavior of a clock can be explained by the properties and the arrangement of its cogs, springs, and weights. Substantial vitalists, on the other hand, maintained (...) that the explanation envisaged by the mechanists was impossible and that one had to postulate a special nonphysical substance in order to explain life. (shrink)

One of the central aims of the neo-mechanistic framework for the neural and cognitive sciences is to construct a pluralistic integration of scientific explanations, allowing for a weak explanatory autonomy of higher-level sciences, such as cognitive science. This integration involves understanding human cognition as information processing occurring in multi-level human neuro-cognitive mechanisms, explained by multi-level neuro-cognitive models. Strong explanatory neuro-cognitive reduction, however, poses a significant challenge to this pluralist ambition and the weak autonomy of cognitive science derived therefrom. (...) Based on research in current molecular and cellular neuroscience, the framework holds that the best strategy for integrating human neuro-cognitive theories is through direct reductive explanations based on molecular and cellular neural processes. It is my aim to investigate whether the neo-mechanistic framework can meet the challenge. I argue that leading neo-mechanists offer some significant replies; however, they are not able yet to completely remove strong explanatory reductionism from their own framework. (shrink)

This paper offers a novel solution to the long-standing puzzle of why the Canon of Pure Reason maintains, in contradiction to Kant’s position elsewhere in the first Critique, both that practical freedom can be proved through experience, and that the question of our transcendental freedom is properly bracketed as irrelevant in practical matters. The Canon is an a priori investigation of our most fundamental practical capacity. It is argued that Kant intends its starting point to be explanatorily independent of transcendental (...) logic and the ontic more generally, an independence that would be compromised if transcendental freedom were included in that starting point, even in a mode of supposition. In a different sense, however, practical reason precisely is dependent on the ontic: it can be realized only in beings. This species of dependence is used to explain the puzzling claim that practical freedom can be experienced. (shrink)

Context: There is an ongoing debate about the possibility of identifying autopoietic systems in non-biological domains. In other words, whether autopoiesis can be conceived as a domain-free rather than domain-specific concept – regardless of Maturana’s and Varela’s opinions to the contrary. In previous parts my focus was, among other matters, on the rules defined by Varela, Maturana, and Uribe (“VM&U rules”). These rules were viewed as a validation test to assess if an observed system is autopoietic by referring to Maturana’s (...) ontological-epistemological frame. I concluded that identifying possible non-biological autopoietic systems is harder than merely identifying self-organized dynamic systems that are provided with boundaries and some observable autonomous behavioral capabilities in a given observational domain. This is because no assessment could be valid without examining such systems’ “intra-boundaries” phenomenology and proving actual compliance with the VM&U component production rules. Problem: Any rigorous approach to investigating possible self-production capabilities within a given dynamic system needs to drill down on the composition and physical conditions of the system’s core dynamics. My aim now is to discuss the problem of choosing the adequate spatial and temporal scales to be applied when observing and describing dynamic systems in general. When trying to detect an autopoietic system in a given observational domain, the observer needs conceptual tools to apply rigorously the VM&U rules and decide on the matter. This is particularly useful when dealing with systems with spatially distributed components interacting through cause-effect couplings that are independent of the distance between them, as is the case of social systems. Results: For observing dynamic systems, the choice of appropriate spatial and temporal scales of description is not a trivial operation. The observer needs to distinguish between “instantaneous” phenomena and phenomena possessing extended “durations.” I argue that the observer can easily extend the notions discussed by Maturana and Varela to observational domains where the system’s components do not constitute an entity showing a topological “form” in physical space. Furthermore, I show that a diachronic perspective must be applied by observers to explain component production/destruction mechanisms as the outcomes of processes involving structure-determined coordination over relatively long time intervals. Finally, these considerations lead to establishing a link with Varela’s fundamental concept of autonomy. Implications: The adequate choice of spatial and temporal scales of observation and description are essential (a) to discuss the problem of a possible identification of social autopoietic systems, and (b) to analyze the possibility of designing virtual simulated autopoietic systems in software domains (“computational autopoiesis”). (shrink)

In science and everyday life, we often infer that something is true because it would explain some set of facts better than any other hypothesis we can think of. But what if we have reason to believe that there is a better way to explain these facts that we just haven't thought of? Wouldn't that undermine our warrant for believing the best available explanation? Many philosophers have assumed that we can solve such underconsideration problems by stipulating that a hypothesis should (...) not only be 'the best' explanation available; rather, it should also be 'good enough'. Unfortunately, however, the only current suggestion for what it might mean to say that an explanation is 'good enough' is, well, not good enough. This paper aims to provide a better account of what is required for an explanatory hypothesis to be considered 'good enough'. In brief, the account holds that a `good enough' hypothesis is one that has gone through a process that I call explanatory consolidation, in which accumulating evidence and failed attempts to formulate better alternatives gradually make it more plausible that the explanation we currently have is better than any other that could be formulated. (shrink)

When a train operator tells us that our train will be late ‘because of delays’, their attempt at explanation fails because there is insufficient distance between the explanans and the explanandum. In this paper, I motivate and defend an account of ‘explanatory distance’, based on the idea that explanations give information about dependence. I show that this account offers useful resources for addressing problem cases, including recent debates about grounding explanation, and the historical case of Molière’s dormitive virtue.

I argue that examining the explanatory power of the hypothesis of extended cognition (HEC) offers a fruitful approach to the problem of cognitive system demarcation. Although in the discussions on HEC it has become common to refer to considerations of explanatory power as a means for assessing the plausibility of the extended cognition approach, to date no satisfying account of explanatory power has been presented in the literature. I suggest that the currently most prominent theory of (...) explanation in the special sciences, James Woodward’s contrastive-counterfactual theory, and an account of explanatory virtues building on that theory can be used to develop a systematic picture of cognitive system demarcation in the psychological sciences. A major difference between my differential influence (DI) account and most other theories of cognitive extension is the cognitive systems pluralism implied by my approach. By examining the explanatory power of competing traditions in psychological memory research, I conclude that internalist and externalist classificatory strategies are characterized by different profiles of explanatory virtues and should often be considered as complementary rather than competing approaches. This suggests a deflationary interpretation of HEC. (shrink)

Explanatory realism is the position that all explanations give information about whatever metaphysically determines the explanandum. This view is popular and plays a central role in metaphysics, but in this paper I argue that explanatory realism is false. In Sect. 1 I introduce explanatory realism in its weak and strong versions, and discuss the argumentative work that explanatory realism is used for in contemporary metaphysics. In Sect. 2 I present a series of problem cases for (...) explanatory realism, including explanation by analogy, explanations involving rules, reduction ad absurdum explanations and certain statistical explanations. In Sect. 3 I consider and reject two modified versions of explanatory realism: the position that explanatory realism is true only of explanation in metaphysics, and the position that determinative explanation is the most complete form of explanation. In conclusion I consider explanatory antirealism and explanatory pluralism as alternatives to explanatory realism. (shrink)

This target article presents a new computational theory of explanatory coherence that applies to the acceptance and rejection of scientific hypotheses as well as to reasoning in everyday life, The theory consists of seven principles that establish relations of local coherence between a hypothesis and other propositions. A hypothesis coheres with propositions that it explains, or that explain it, or that participate with it in explaining other propositions, or that offer analogous explanations. Propositions are incoherent with each other if (...) they are contradictory, Propositions that describe the results of observation have a degree of acceptability on their own. An explanatory hypothesis is acccpted if it coheres better overall than its competitors. The power of the seven principles is shown by their implementation in a connectionist program called ECHO, which treats hypothesis evaluation as a constraint satisfaction problem. Inputs about the explanatory relations are used to create a network of units representing propositions, while coherende and incoherence relations are encoded by excitatory and inbihitory links. ECHO provides an algorithm for smoothly integrating theory evaluation based on considerations of explanatory breadth, simplicity, and analogy. It has been applied to such important scientific cases as Lovoisier's argument for oxygen against the phlogiston theory and Darwin's argument for evolution against creationism, and also to cases of legal reasoning. The theory of explanatory coherence has implications for artificial intelligence, psychology, and philosophy. (shrink)

David Malament argued that Hartry Field's nominalisation program is unlikely to be able to deal with non-space-time theories such as phase-space theories. We give a specific example of such a phase-space theory and argue that this presentation of the theory delivers explanations that are not available in the classical presentation of the theory. This suggests that even if phase-space theories can be nominalised, the resulting theory will not have the explanatory power of the original. Phase-space theories thus raise problems (...) for nominalists that go beyond Malament's initial concerns. Thanks to Mark Steiner, Jens Christian Bjerring, Ben Fraser, John Mathewson, and two anonymous referees for helpful comments on an earlier draft of this paper. CiteULike Connotea Del.icio.us What's this? (shrink)

The problem of explanatory non-symmetries provides the strongest reason to abandon the view that laws can figure in explanations without causal underpinnings. I argue that this problem can be overcome. The solution that I propose starts from noticing the importance of conditions of application when laws do explanatory work, and I go on to develop a notion of nomological dependence that can tackle the non-symmetry problem. The strategy is to show how a strong notion of (...) counterfactual dependence as guaranteed by the laws is a plausible account of what we aim towards when we give law-based explanations. The aim of this project is not to deny that causal relations can do explanatory work but to restore laws of nature as capable of being explanatory even in the absence of any knowledge of causal underpinnings. (shrink)

This paper responds to recent criticisms of the idea that true causal claims, satisfying a minimal “interventionist” criterion for causation, can differ in the extent to which they satisfy other conditions—called stability and proportionality—that are relevant to their use in explanatory theorizing. It reformulates the notion of proportionality so as to avoid problems with previous formulations. It also introduces the notion of conditional independence or irrelevance, which I claim is central to understanding the respects and the extent to which (...) upper level explanations can be “autonomous”. (shrink)

This paper defends an account of explanatory reasoning generally, and inference to the best explanation in particular, according to which it first and foremost justifies pursuing hypotheses rather than accepting them as true. This side-steps the problem of why better explanations should be more likely to be true. I argue that this account faces no analogous problems. I propose an account of justification for pursuit and show how this provides a simple and straightforward connection between explanatoriness and justification (...) for pursuit. (shrink)

Explaining phenomena is one of the main activities in which scientists engage. This book proposes a new philosophical theory of scientific explanation by developing and defending the position of explanatory pluralism with the help of the notion of 'explanatory games'. Mantzavinos provides a descriptive account of the explanatory activity of scientists in different domains and shows how they differ from commonsensical explanations offered in everyday life by ordinary people and also from explanations offered in religious contexts. He (...) also shows how an evaluation and a critical appraisal of explanations put forward in different social arenas can take place on the basis of different values. Explanatory Pluralism provides solutions to all important descriptive and normative problems of the philosophical theory of explanation as illustrated in sophisticated case studies from economics and medicine, but also from mythology and religion. (shrink)

Teaching students to ask and answer questions is critically important if they are to engage in reasoned argumentation, problem-solving, and learning. This study involved 35 groups of grade 6 children from 18 classrooms in three conditions (cognitive questioning condition, community of inquiry condition, and the comparison condition) who were videotaped as they worked on specific inquiry-based science tasks. The study also involved the teachers in these classrooms who were audio-taped as they interacted with the children during these tasks. The (...) results show that while there were no significant differences in the children's explanatory behaviour across the two time periods, there were significant differences in the total verbal interactions between the children in the cognitive questioning condition and their peers in the community of inquiry and comparison conditions. Furthermore, the children in the cognitive questioning condition obtained higher reasoning and problem-solving scores than peers in the other conditions. Interestingly, while there were no significant differences between the teachers’ basic and extended mediating behaviours in the three conditions at Times 1 and 2, there was a significant difference in extended mediation behaviours with the teachers demonstrating nearly three times more extended mediation to promote students’ learning at Time 2 than they did at Time 1. Teacher intervention in providing guidance in how to interact during cooperative, inquiry-based science appears to be critical to helping students engage in higher-level thinking and learning. (shrink)

Explainable artificial intelligence (XAI) is an emerging, multidisciplinary field of research that seeks to develop methods and tools for making AI systems more explainable or interpretable. XAI researchers increasingly recognise explainability as a context-, audience- and purpose-sensitive phenomenon, rather than a single well-defined property that can be directly measured and optimised. However, since there is currently no overarching definition of explainability, this poses a risk of miscommunication between the many different researchers within this multidisciplinary space. This is the problem (...) we seek to address in this paper. We outline a framework, called Explanatory Pragmatism, which we argue has two attractive features. First, it allows us to conceptualise explainability in explicitly context-, audience- and purpose-relative terms, while retaining a unified underlying definition of explainability. Second, it makes visible any normative disagreements that may underpin conflicting claims about explainability regarding the purposes for which explanations are sought. Third, it allows us to distinguish several dimensions of AI explainability. We illustrate this framework by applying it to a case study involving a machine learning model for predicting whether patients suffering disorders of consciousness were likely to recover consciousness. (shrink)

We develop and apply a multi-dimensional account of explanatory depth towards a comparative analysis of inflationary and bouncing paradigms in primordial cosmology. Our analysis builds on earlier work due to Azhar and Loeb (2021) that establishes initial conditions fine-tuning as a dimension of explanatory depth relevant to debates in contemporary cosmology. We propose dynamical fine-tuning and autonomy as two further dimensions of depth in the context of problems with instability and trans-Planckian modes that afflict bouncing and inflationary approaches (...) respectively. In the context of the latter issue, we argue that the recently formulated trans-Planckian censorship conjecture leads to a trade-off for inflationary models between dynamical fine-tuning and autonomy. We conclude with the suggestion that explanatory preference with regard to the different dimensions of depth is best understood in terms of differing attitudes towards heuristics for future model building. (shrink)

Epistemological Disjunctivism is a view about paradigm cases of perceptual knowledge. Duncan Pritchard claims that it is particularly well suited to accounting for internalist and externalist intuitions. A number of authors have disputed this claim, arguing that there are problems for Pritchard’s way with internalist intuitions. I share the worry. However, I don’t think it has been expressed as effectively as it can be. My aim in this paper is to present a new way of formulating the worry, in terms (...) of an “explanatory challenge”. The explanatory challenge is a simple, yet powerful and illuminating challenge for Epistemological Disjunctivism. It is illuminating in the sense that it shows us why Epistemological Disjunctivism must take on certain internalistically problematic commitments. A secondary aim of this paper is to examine whether the recently much-discussed distinction between justifications and excuses in epistemology can support an adequate response. I will argue that it cannot. (shrink)