Some properties are causally relevant for a certain effect, others are not. In this paper we describe a problem for our understanding of this notion and then offer a solution in terms of the notion of a program explanation.

Our aim in this paper is to evaluate Frank Jackson and Philip Pettit’s ‘program explanation’ framework as an account of the autonomy of the special sciences. We argue that this framework can only explain the autonomy of a limited range of special science explanations. The reason for this limitation is that the framework overlooks a distinction between two kinds of properties, which we refer to as ‘higher-level’ and ‘higher-order’ properties. The program explanation framework can account for the (...) autonomy of special science explanations that appeal to higher-level properties but it does not account for the autonomy of most of those explanations that appeal to higher-order properties. (shrink)

Frank Jackson and Philip Pettit have defended a non-reductive account of causal relevance known as the ‘program explanation account’. Allegedly, irreducible mental properties can be causally relevant in virtue of figuring in non-redundant program explanations which convey information not conveyed by explanations in terms of the physical properties that actually do the ‘causal work’. I argue that none of the possible ways to spell out the intuitively plausible idea of a program explanation serves its purpose, (...) viz., defends non-reductive physicalism against Jaegwon Kim’s Causal Exclusion Argument according to which non-reductive physicalism is committed to epiphenomenalism because irreducible mental properties are ‘screened off’ from causal relevance by their physical realizers. Jackson and Pettit’s most promising explication of a program explanation appeals to the idea of invariance of effect under variation of realization, but I show that invariance of effect under variation of realization is neither necessary nor sufficient for causal relevance. (shrink)

Frank Jackson and Philip Pettit have defended a non-reductive account of causal relevance known as the ‘program explanation account’. Allegedly, irreducible mental properties can be causally relevant in virtue of figuring in non-redundant program explanations which convey information not conveyed by explanations in terms of the physical properties that actually do the ‘causal work’. I argue that none of the possible ways to spell out the intuitively plausible idea of a program explanation serves its purpose, (...) viz., defends non-reductive physicalism against Jaegwon Kim’s Causal Exclusion Argument according to which non-reductive physicalism is committed to epiphenomenalism because irreducible mental properties are ‘screened off’ from causal relevance by their physical realizers. Jackson and Pettit’s most promising explication of a program explanation appeals to the idea of invariance of effect under variation of realization, but I show that invariance of effect under variation of realization is neither necessary nor sufficient for causal relevance. (shrink)

Frank Jackson and Philip Pettit have defended a non-reductive account of causal relevance known as the ‘program explanation account’. Allegedly, irreducible mental properties can be causally relevant in virtue of figuring in non-redundant program explanations which convey information not conveyed by explanations in terms of the physical properties that actually do the ‘causal work’. I argue that none of the possible ways to spell out the intuitively plausible idea of a program explanation serves its purpose, (...) viz., defends non-reductive physicalism against Jaegwon Kim’s Causal Exclusion Argument according to which non-reductive physicalism is committed to epiphenomenalism because irreducible mental properties are ‘screened off’ from causal relevance by their physical realizers. Jackson and Pettit’s most promising explication of a program explanation appeals to the idea of invariance of effect under variation of realization , but I show that invariance of effect under variation of realization is neither necessary nor sufficient for causal relevance. (shrink)

Aidan Lyon has recently argued that some mathematical explanations of empirical facts can be understood as program explanations. I present three objections to his argument.

Alexander Miller has recently considered an ingenious extension of Frank Jackson and Philip Pettit's account of 'program explanation' as a way of defending non-reductive naturalist versions of moral realism against Harman's explanatory criticism. Despite the ingenuity of this extension, Miller concludes that program explanation cannot help such moral realists in their attempt to defend moral properties. Specifically, he argues that such moral program explanations are dispensable from an epistemically unlimited point of view. I show that (...) Miller's argument for this negative claim is inadequate, and that he has, in spite of himself, identified a promising defence of moral realism. (shrink)

In chapter 8 of Miller 2003, I argued against the idea that Jackson and Pettit's notion of program explanation might help Sturgeon's non-reductive naturalist version of moral realism respond to the explanatory challenge posed by Harman. In a recent paper in the AJP[Nelson 2006, Mark Nelson has attempted to defend the idea that program explanation might prove useful to Sturgeon in replying to Harman. In this note, I suggest that Nelson's argument fails.

In the debate over whether mathematical facts, properties, or entities explain physical events (in what philosophers call “extra-mathematical” explanations), Aidan Lyon’s (2012) affirmative answer stands out for its employment of the program explanation (PE) methodology of Frank Jackson and Philip Pettit (1990). Juha Saatsi (2012; 2016) objects, however, that Lyon’s examples from the indispensabilist literature are (i) unsuitable for PE, (ii) nominalizable into non-mathematical terms, and (iii) mysterious about the explanatory relation alleged to obtain between the PE’s mathematical (...) explanantia and physical explananda. In this paper, I propose a counterexample to Saatsi’s objections. My counterexample is Frank Jackson’s (1998a) program explanation for color experience, which I argue needs recasting as an extra-mathematical PE due to its implicit reliance on reflectance, a property that suffers conceptual regress unless redefined with Fourier harmonics. Pace Saatsi, I argue that this recast example is an authoritative PE, non-nominalizable, and minimally esoteric. Important for the indispensability debate at large, moreover, is that my counterexample reifies Fourier harmonics without the Enhanced Indispensability Argument (an argument to which Lyon applies PE as a premise). Indispensabilists have long overlooked the conditionalization of a limited mathematical realism on property realism, and my counterexample to Saatsi exploits this conditionalization. (shrink)

Miller's reply to Nelson misses the point because it does not attend to the difference between identifying the truth conditions for a proposition and explaining why those conditions are the ones in which the proposition is true.

In everyday causal explanations of human behaviour, known generally as folk psychology,' the causal powers of the mental seem to be taken for granted. Mental properties such as perceptions, beliefs, and desires, are all called upon in causal explanations of events that are deemed intentional. Jaegwon Kim's exclusion principle has led him to deny mental properties causal efficacy unless they are metaphysically reduced to physical properties, but what of their causal relevance? By giving up the assumption of causally efficacious mental (...) properties, has Kim put into question the explanatory value of explanations with mental descriptions? In other words, if a lower order neurological causal explanation involving a causally efficacious property is at hand, does it make the higher order mental explanation irrelevant and therefore redundant? If we are to save the explanatory importance of higher order predicates, and thus the causal explanations of the special sciences and folk psychology, we need an account of how such properties can be relevant as opposed to irrelevant in causal explanations, even though they may not be causally efficacious. Frank Jackson's and Philip Pettit's notion of program explanation tries to do just this. (shrink)

The purpose of this paper is to set forth a sense in which programs can and do explain behavior, and to distinguish from this a number of senses in which they do not. Once we are tolerably clear concerning the sort of explanatory strategy being employed, two rather interesting facts emerge; (1) though it is true that programs are "internally represented," this fact has no explanatory interest beyond the mere fact that the program is executed; (2) programs which are (...) couched in information processing terms may have an explanatory interest for a given range of behavior which is independent of physiological explanations of the same range of behavior. (shrink)

In this paper I argue that the common practice of employing moral predicates as explaining phrases can be accommodated on an expressivist account of moral practice. This account does not treat moral explanations as in any way second-rate or derivative, since it subsumes moral explanations under the general theory of program explanations (as defended by Jackson and Pettit). It follows that the phenomenon of moral explanations cannot be used to adjudicate the debate between expressivism and its rivals.

Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and/or inconsistent information, to obtain useful conclusions. As a reasoning mechanism, the way an argumentation reasoning engine reaches these conclusions resembles the cognitive process that humans follow to analyze their beliefs; thus, unlike other computationally reasoning systems, argumentation offers an intellectually friendly alternative to other defeasible reasoning systems. LogicProgrammingisacomputationalparadigmthathasproducedcompu- tationallyattractivesystemswithremarkablesuccessinmanyapplications. Merging ideas from both areas, Defeasible Logic Programming offers a computational reasoning system that uses an argumentation engine (...) to obtain answers from a knowledge base represented using a logic programming language extended with defeasible rules. This combination of ideas brings about a computationally effective system together with a human-like reasoning model facilitating its use in applications. (shrink)

A main thread of the debate over mathematical realism has come down to whether mathematics does explanatory work of its own in some of our best scientific explanations of empirical facts. Realists argue that it does; anti-realists argue that it doesn't. Part of this debate depends on how mathematics might be able to do explanatory work in an explanation. Everyone agrees that it's not enough that there merely be some mathematics in the explanation. Anti-realists claim there is nothing (...) mathematics can do to make an explanation mathematical ; realists think something can be done, but they are not clear about what that something is. I argue that many of the examples of mathematical explanations of empirical facts in the literature can be accounted for in terms of Jackson and Pettit's [1990] notion of program explanation, and that mathematical realists can use the notion of program explanation to support their realism. This is exactly what has happened in a recent thread of the debate over moral realism. I explain how the two debates are analogous and how moves that have been made in the moral realism debate can be made in the mathematical realism debate. However, I conclude that one can be a mathematical realist without having to be a moral realist. (shrink)

In my 2013 article, “A New Theory of Free Will”, I argued that several serious hypotheses in philosophy and modern physics jointly entail that our reality is structurally identical to a peer-to-peer (P2P) networked computer simulation. The present paper outlines how quantum phenomena emerge naturally from the computational structure of a P2P simulation. §1 explains the P2P Hypothesis. §2 then sketches how the structure of any P2P simulation realizes quantum superposition and wave-function collapse (§2.1.), quantum indeterminacy (§2.2.), wave-particle duality (§2.3.), (...) and quantum entanglement (§2.4.). Finally, §3 argues that although this is by no means a philosophical proof that our reality is a P2P simulation, it provides ample reasons to investigate the hypothesis further using the methods of computer science, physics, philosophy, and mathematics. (shrink)

Explanation has been an important topic of study in philosophy of science, in epistemology, and in other areas of philosophy. In parallel, psychologists have been studying children's and adults’ explanations, including their role in inference and in learning. This entry reviews recent work that begins to bridge the philosophy and psychology of explanation, with sections introducing recent empirical work on explanation by philosophers, formal and functional accounts of explanation, inference to the best explanation, the role (...) of explanation in discovery, and the implications of empirical work on explanation for the “negative program” in experimental philosophy. (shrink)

This chapter explores the epistemic roles played by connectionist models of cognition, and offers a formal analysis of how connectionist models explain. It looks at how other types of computational models explain. Classical artificial intelligence (AI) programs explain using abductive reasoning, or inference to the best explanation; they begin with the phenomena to be explained, and devise rules that can produce the right outcome. The chapter also looks at several examples of connectionist models of cognition, observing what sorts of (...) constraints are used in their design, and how their results are evaluated. It argues that the point of implementing networks roughly analogous to neural structures is to discover and explores the generic mechanisms at work in the brain, not to deduce the precise activities of specific structures. The chapter explores a formal analysis of the explanations offered, which interprets connectionist models and the cognitive theories they represent as sharing membership in a type of mechanism. (shrink)

Prominent research programs dealing with the nature and mechanisms of interpersonal social coordination have emerged in cognitive science, developmental psychology and evolutionary anthropology. I argue that the mechanistic approach to explanation in contemporary philosophy of science can facilitate interdisciplinary integration and division of labor between these different disciplinary research programs. By distinguishing phenomenal models from mechanistic models and structural decomposition from functional decomposition in the process of mechanism discovery, I argue that behavioral and cognitive scientists can make interlocking contributions (...) to families of mechanism models representing a) what central forms of interpersonal social coordination consist in, b) what types of agents engage in such forms of coordination, c) what types of cognitive mechanisms give rise to such forms of coordination, d) how the operation of such mechanisms is modulated by the natural and social environments that the agents populate. Thus mechanistic philosophy of science can play a heuristic role in guiding the research strategies of scientists in different scientific disciplines in a manner that is complementary to the research strategies of scientists in other disciplines and thereby efficient from the point of view of the division of epistemic labor. (shrink)

This article locates Bourdieu’s sociology within the lasting controversy concerning the nature of causal explanation and interpretative understanding in the social sciences, with a special focus on the classical problem surrounding the alleged compatibility between these procedures. First, it is argued that Bourdieu’s praxeological and relational perspective on the social universe leads him not only to join the ‘compatibility field’ of the debate, but to sustain, more radically, the identity between explanation and understanding. Second, the article defends the (...) view that this methodological proposal is tied to a distinction often ignored among the commentators of Bourdieu’s oeuvre, namely that between objectivism, a mode of knowledge of the social which he intends to integrate and overcome in his structural praxeology, and determinism, adopted by the author as a fundamental scientific principle and, at the same time, a potentially emancipatory ethico-political tool bequeathed by his reflexive sociology. While basically sympathetic to Bourdieu’s perspective, the article concludes in a more critical vein, by defending the need to bridge the gap between the ‘pessimism of the intellect’ that marks his portrayal of the reflexive capabilities of the lay agent, on the one hand, and the ‘optimism of the will’ infused in the critical program of reflexive sociology, on the other. (shrink)

We provide three innovations to recent debates about whether topological or “network” explanations are a species of mechanistic explanation. First, we more precisely characterize the requirement that all topological explanations are mechanistic explanations and show scientific practice to belie such a requirement. Second, we provide an account that unifies mechanistic and non-mechanistic topological explanations, thereby enriching both the mechanist and autonomist programs by highlighting when and where topological explanations are mechanistic. Third, we defend this view against some powerful mechanist (...) objections. We conclude from this that topological explanations are autonomous from their mechanistic counterparts. (shrink)

This paper challenges arguments that systematic patterns of intelligent behavior license the claim that representations must play a role in the cognitive system analogous to that played by syntactical structures in a computer program. In place of traditional computational models, I argue that research inspired by Dynamical Systems theory can support an alternative view of representations. My suggestion is that we treat linguistic and representational structures as providing complex multi-dimensional targets for the development of individual brains. This approach acknowledges (...) the indispensability of the intentional or representational idiom in psychological explanation without locating representations in the brains of intelligent agents. (shrink)

In this article, I argue that genomic programs are not substitutes for multi-causal molecular mechanistic explanations of inheritance, but abstract representations of the same sort as mechanism schemas already described in the philosophical literature. On this account, the program analogy is not reductionistic and does not ignore or underestimate the active contribution of epigenetic elements to phenotypes and development. Rather, genomic program representations specifically highlight the genomic determinants of inheritance and their organizational features at work in the wider (...) context of the mechanisms of genome expression. (shrink)

Nanosynthesis forces a reevaluation of received views on scientific explanation. I discuss the synthesis of anisotropic metal nanoparticles, a typical nanosynthesis research program, in order to demonstrate the failure of standard philosophical accounts of explanation to capture the dynamics of information exchange in synthetic sciences. I argue that using the language of effective heuristics, coupled with attention to changes in the meanings of concepts across different length scales, is a more promising means of capturing how information is (...) obtained from the study of nanosynthesis systems. (shrink)

It is claimed that Kuipers' approach to explanation opens the possibility for a further refinement of his own refined HD method for the evaluation of theories. One severe problem for the HD method, refined or not, is theory-ladeness. Given that experimental results are theory-laden, the comparative evaluation of alternative hypotheses is always relative to background knowledge. This difficulty can be avoided by supplementing HD considerations with the principle of inference to the best explanation. The authors sketch a (...) class='Hi'>program for doing this. The general idea plays on some similarities between Kuipers' account of explanation and Lipton's. The former, however, is considered more flexible than the latter, which makes it even more attractive for the purpose under consideration. (shrink)

In “A Tension in the Strong Program: The Relation between the Rational and the Social”, Shahram Shahryari (2021) advances the following thesis: In his Strong Program in the sociology of science, David Bloor blames traditional philosophy of science for adopting a dualist strategy in explaining scientific developments, as it employs rational explanation for successful science and social explanation for flawed science. Instead, according to Bloor, all scientific developments should be explained monistically, i.e. in terms of social (...) causes. This is also referred to as the Symmetry Principle, and it is a key tenet in the Strong Program. The author detects a tension here, as Bloor apparently asserts that traditional philosophy of science deploys two kinds of explanation, and simultaneously insists that there is only one kind, i.e. social explanation. (shrink)

This paper explores the explanatory adequacy of lower-level theories when their higher-level counterparts are irreducible. If some state or entity described by a high-level theory supervenes upon and is realized in events, entities, etc. described by the relevant lower-level theory, does the latter fully explain the higher-level event even if the higher-level theory is irreducible? While the autonomy of the special sciences and the success of various eliminativist programs depends in large part on how we answer this question, neither the (...) affirmative or negative answer has been defended in detail. I argue, contra Putnam and others, that certain facts about causation and explanation show that such lower-level theories do explain. I also argue, however, that there may be important questions about counterfactuals and laws that such explanations cannot answer, thereby showing their partial inadequacy. I defend the latter claim against criticisms based on eliminativism about higher-level explanations and sketch a number of empirical conditions that lower-level explanations would have to meet to fully explain higher-level events. (shrink)

This paper critiques the new mechanistic explanatory program on grounds that, even when applied to the kinds of examples that it was originally designed to treat, it does not distinguish correct explanations from those that blunder. First, I offer a systematization of the explanatory account, one according to which explanations are mechanistic models that satisfy three desiderata: they must 1) represent causal relations, 2) describe the proper parts, and 3) depict the system at the right ‘level.’ Second, I argue (...) that even the most developed attempts to fulfill these desiderata fall short by failing to appropriately constrain explanatorily apt mechanistic models. -/- *This paper used to be called "The Emperor's New Mechanisms". (shrink)

Deduction leads to causal explanation in phylogenetic inference when the evidence, the systematic character, is conceptualized as a transformation series. Also, the deductive entailment of modus tollens is satisfied when those kinds of events are operationalized as patristic difference. Arguments to the contrary are based largely on the premise that character-states are defined intensionally as objects, in terms of similarity relations. However, such relations leave biologists without epistemological access to the causal explanation and explanatory power of historical statements. (...) Moreover, the prediction-making to which those kinds of relations are limited in practice can lead to a category error—the mental conversion of an abstraction into a thing . The latter practices and problems characterize pattern cladistics, taxa being interpreted as homeostatic property cluster natural kinds, and other instrumentalist research programs. (shrink)

Cancer viewed as a programmed, evolutionarily conserved life‐form, rather than just a random series of disease‐causing mutations, answers the rarely asked question of what the cancer cell is for, provides meaning for its otherwise mysterious suite of attributes, and encourages a different type of thinking about treatment. The broad but consistent spectrum of traits, well‐recognized in all aggressive cancers, group naturally into three categories: taxonomy (“phylogenation”), atavism (“re‐primitivization”) and robustness (“adaptive resilience”). The parsimonious explanation is not convergent evolution, but (...) the release of an highly conserved survival program, honed by the exigencies of the Pre‐Cambrian, to which the cancer cell seems better adapted; and which is recreated within, and at great cost to, its host. Central to this program is the Warburg Effect, whose malign influence permeates well beyond aerobic glycolysis to include biomass interconversion and genomic heuristics. Warburg‐type metabolism and genomic instability are targets whose therapeutic disablement is a major priority. (shrink)

If dispositions are conceived as properties of systems that refer to possible causal relations, dispositions can be used in singular causal explanations. By means of these dispositional explanations, we can explain behavior B of a system x by (i) referring to a situation of type S that triggered B, given that x has a disposition D to do B in S, or (ii) by referring to a disposition D of x to do B in S, given that x is in (...) a situation of type S. Dispositional explanations are adequate and indispensable explanations: they can explain behavior B without explicitly referring to the underlying causal basis in x that constitutes a disposition to do B. Radical Behaviorist explanations are a sort of dispositional explanations, but the dispositional model is not restricted to these explanations. The dispositional model is compatible with, or can be applied to, several research programs. (shrink)

The Oxford Handbook provides an extensive and innovative review of developments in Analytical Sociology (AS) which is a theory program which seeks to develop ‘thin explanations’ of social phenomena by understanding their micro-foundations through explicitly developed models and then tracing through the broader consequences of these actions and interactions for aggregate social patterns. The volume covers the key characteristics of this approach in terms of ontology and epistemology and then assays recent developments across over two dozen areas of application: (...) each a particular social mechanism. Methodological approaches particularly pertinent to AS are also covered. However, some of the criticisms of the AS programme are also noted, especially its lack of attention thus far to meso-level and macro-level mechanisms. (shrink)

My purpose in this essay is to clarify the notion of explanation by computer simulation in artificial intelligence and cognitive science. My contention is that computer simulation may be understood as providing two different kinds of explanation, which makes the notion of explanation by computer simulation ambiguous. In order to show this, I shall draw a distinction between two possible ways of understanding the notion of simulation, depending on how one views the relation in which a computing (...) system that performs a cognitive task stands to the program that the system runs while performing that task. Next, I shall suggest that the kind of explanation that results from simulation is radically different in each case. In order to illustrate the difference, I will point out some prima facie methodological difficulties that need to be addressed in order to ensure that simulation plays a legitimate explanatory role in cognitive science, and I shall emphasize how those difficulties are very different depending on the notion of explanation involved. (shrink)

The ontic conception of explanation, according to which explanations are "full-bodied things in the world," is fundamentally misguided. I argue instead for what I call the eikonic conception, according to which explanations are the product of an epistemic activity involving representations of the phenomena to be explained. What is explained in the first instance is a particular conceptualization of the explanandum phenomenon, contextualized within a given research program or explanatory project. I conclude that this eikonic conception has a (...) number of benefits, including making better sense of scientific practice and allowing for the full range of normative constraints on explanation. (shrink)

B. F. Skinner's claim that "operant behavior is essentially the field of purpose" is systematically explored. It is argued that Charles Taylor's illuminating analysis of the explanatory significance of common-sense goal-ascriptions (1) lends some (fairly restricted) support to Skinner's claim, (2) considerably clarifies the conceptual significance of differences between operant and respondent behavior and conditioning, and (3) undercuts influential assertions (e.g., Taylor's) that research programs for behavioristic psychology share a "mechanistic" orientation. A strategy is suggested for assessing the plausibility of (...) Skinner's broader claims about the adequacy of the operant behaviorist program for the analysis of purposive behavior. (shrink)

1. Introduction: Naturalism and Psychological Explanations To a large extent, contemporary philosophical debate takes place within a framework of naturalistic assumptions. From the perspective of the history of philosophy, naturalism is the legacy of positivism without its empiricist epistemology and empiricist conception of meaning and cognitive significance. Systematically, it is best to characterize naturalism as the philosophical articulation of the underlying presuppositions of a reductive scientific research program that was rather successful in the last few centuries and, equally important, (...) promises to be so in the future particularly in the biological sciences and the neurosciences. It seems as if the secrets of human life and behavior and the mysteries of the mind will be cracked on the molecular level of the genes or the brain, or at least so we are told. Viewed in this manner it is understandable why philosophical naturalism tends to be committed to monism, both as a metaphysical or ontological claim and as a methodological position in the philosophy of social science. Naturalists are inclined to adopt a physicalist ontology that rejects free floating Cartesian substances and they view higher order macroscopic facts and properties as being dependent or supervenient on basic micro-physical facts. Naturalists, furthermore, expect that any scientific explanation of higher order properties has to provide an account of why and how these lower order facts give rise to higher order ones. These ontological and epistemic commitments also underpin a position of methodological monism in regard to the social sciences and the explanation of human agency. If the above ontological picture is correct then there is no reason to expect that the structure of the sciences dealing with higher order properties on the social level should fundamentally differ in their methodology from the natural sciences. In both domains of investigation, scientists will develop and make explanatory use of comprehensive and empirically well supported theories with adequate predictive powers that describe.... (shrink)

Causal explanations of behavior must distinguish two kinds of cause. There are triggering causes, the events or conditions that come before the effect and are followed regularly by the effect, and structuring causes, events that cause a triggering cause to produce its effect. Moving the mouse is the triggering cause of cursor movement; hardware and programming conditions are the structuring causes of cursor movement. I use this distinction to show how representational facts can be structuring causes of behavior even though (...) biological events trigger the behavior. (shrink)

Rational explanation, as I understand it here, is the sort of explanation we practise when we try to make intentional sense of a person’s attitudes and actions. We may postulate various obstacles to rationality in the course of offering such explanations but the point of the exercise is generally to present the individual as a more or less rational subject: as a subject who, within the constraints of the obstacles postulated - and they can be quite severe - (...) displays a rational pattern of attitude - formation and decision-making.In this paper I want to draw attention to three distinct, and progressively more specific, aspects of such rational explanation. I do so, because I believe that they are not always prised apart sufficiently. The first aspect of rational explanation is that it is a programming variety of explanation, in a phrase that Frank Jackson and I introduced some years ago (Jackson and Pettit 1988). The second is, in another neologism (Pettit 1986), that it is a normalising kind of explanation. And the third is that it is a variety of interpretation: if you like, it is a hermeneutic form of explanation. (shrink)

Hodgkin and Huxley’s model of the action potential is an apparent dream case of covering‐law explanation in biology. The model includes laws of physics and chemistry that, coupled with details about antecedent and background conditions, can be used to derive features of the action potential. Hodgkin and Huxley insist that their model is not an explanation. This suggests either that subsuming a phenomenon under physical laws is insufficient to explain it or that Hodgkin and Huxley were wrong. I (...) defend Hodgkin and Huxley against Weber’s heteronomy thesis and argue that explanations are descriptions of mechanisms. †To contact the author, please write to: Department of Philosophy, Philosophy‐Neuroscience‐Psychology Program, Washington University in St. Louis, One Brookings Drive, Wilson Hall, St. Louis, MO 63130; e‐mail: [email protected]. (shrink)

Hegel is one of the most often cited and least read of all major philosophers. He is alternately regarded as the best and the worst that philosophy has produced. Nobody, however, disputes his influence. In Hegel's Dialectic, Terry Pinkard offers a new interpretation of Hegel's program that assesses his conception of the role of philosophy, his method, and some of the specific theses that he defended. Hegel's dialectic is interpreted as offering explanations of the possibility of basic categories. Pinkard (...) argues that the traditional standard reading of Hegel as the esoteric metaphysician of Absolute Spirit overlooks major elements of his thought. In presenting this alternative reading of Hegel, Pinkard offers a new understanding of the role of history in Hegel's thought and a new perspective on his moral and political thought. Departing from the tradition of explicating Hegel exclusively in Hegelian terms, Pinkard discusses the much disputed philosopher in a way that is accessible and appealing to both analytic and non-analytic philosophers. Hegel's Dialectic is not just an interpretation of Hegel's thought: it is also a reconstruction and defense of Hegel's philosophy as having something of importance to say to late twentieth-century philosophers. (shrink)

If teleological descriptions and explanations are to have a legitimate place in contemporary empirical science, especially as regards biological units in general and even nonbiological ones, then their content must avoid appeal to intentional constituents. Efforts aimed atreducing teleological accounts to nonteleological ones (Braithwaite, Nagel, etc.) have proved unsuccessful (Scheffler). Recently, Larry Wright, building on the work of Charles Taylor, has put together a nonreductive analysis which is free from many of the objections often associated with such a program. (...) I maintain that while Wright and Taylor are on the right track, serious problems still remain for their theories. An analysis is suggested which avoids these difficulties. (shrink)

In his article, “The Strong Program and Asymmetrical Explanation of the History of Science: A Reply to Collin” (Shahryari 2022b), Shahram Shahryari responds to my comments (in Collin 2022) upon his original article, “A Tension in the Strong Program: The Relation between the Rational and the Social” (Shahryari 2022a). I believe that in this new contribution, Shahryari changes the subject as compared to our original discussion. Hence, before I comment upon his recent contribution, I want to recapitulate (...) briefly the content of that discussion. (shrink)