We sketch a framework for building a unified science of cognition. This unification is achieved by showing how functional analyses of cognitive capacities can be integrated with the multilevel mechanistic explanations of neural systems. The core idea is that functional analyses are sketches of mechanisms , in which some structural aspects of a mechanistic explanation are omitted. Once the missing aspects are filled in, a functional analysis turns into a full-blown mechanistic explanation. By this process, functional analyses are seamlessly (...) integrated with multilevel mechanistic explanations. (shrink)

The so-called bottoming-out problem is considered one of the most serious problems in Stuart Glennan's mechanistic theory of causality. It is usually argued that such a problem cannot be overcome with the acknowledgement of the non-causal character of fundamental phenomena. According to such a widespread view, in the mechanistic account causation must go all the way down to the bottom level; a solution to the bottoming-out problem, therefore, requires an appeal to an ancillary account of causation that covers fundamental phenomena. (...) In this paper I reconsider the arguments that led to this conclusion and criticize them. I argue that the no-causality-at-the-fundamental-level solution is in harmony with the causal anti-fundamentalism that characterizes the mechanistic theory. Moreover, contrarily to the dualistic solution put forward by Glennan, the no-causality-at-the-fundamental-level is not an ad-hoc solution.Finally, I provide the sketch for an account of the existence of an order in nature at the fundamental level that is consistent with the singularist and ontologically parsimonious spirit of the mechanistic account. (shrink)

We sketch the mechanistic approach to levels, contrast it with other senses of “level,” and explore some of its metaphysical implications. This perspective allows us to articulate what it means for things to be at different levels, to distinguish mechanistic levels from realization relations, and to describe the structure of multilevel explanations, the evidence by which they are evaluated, and the scientific unity that results from them. This approach is not intended to solve all metaphysical problems surrounding physicalism. Yet (...) it provides a framework for thinking about how the macroscopic phenomena of our world are or might be related to its most fundamental entities and activities. (shrink)

Not all models are explanatory. Some models are data summaries. Some models sketch explanations but leave crucial details unspecified or hidden behind filler terms. Some models are used to conjecture a how-possibly explanation without regard to whether it is a how-actually explanation. I use the Hodgkin and Huxley model of the action potential to illustrate these ways that models can be useful without explaining. I then use the subsequent development of the explanation of the action potential to show what (...) is required of an adequate mechanistic model. Mechanistic models are explanatory. (shrink)

In many fields of biology, both the phenomena to be explained and the mechanisms proposed to explain them are commonly presented in diagrams. Our interest is in how scientists construct such diagrams. Researchers begin with evidence, typically developed experimentally and presented in data graphs. To arrive at a robust diagram of the phenomenon or the mechanism, they must integrate a variety of data to construct a single, coherent representation. This process often begins as the researchers create a first (...) class='Hi'>sketch, and it continues over an extended period as they revise the sketch until they arrive at a diagram they find acceptable. We illustrate this process by examining the sketches developed in the course of two research projects directed at understanding the generation of circadian rhythms in cyanobacteria. One identified a new aspect of the phenomenon itself, whereas the other aimed to develop a new mechanistic account. In both cases, the research resulted in a paper in which the conclusion was presented in a diagram that the authors deemed adequate to convey it. These diagrams violate some of the normative “cognitive design principles” advanced by cognitive scientists as constraints on successful visual communication. We suggest that scientists’ sketching is instead governed by norms of success that are broadly explanatory: conveying the phenomenon or mechanism. (shrink)

Causal mediation mechanisms are well supported by available experimental evidence and provide a practicable way to reductive physicalism. According to the causal mediation account of mechanistic explanation, descriptions as diverse as ‘black-box’ phenomena, mechanistic sketches and schemas mixing physically interpreted and operationalized biological, psychological and social variables, and detailed descriptions of mechanisms refer to the same causal structure circumscribed within the spatiotemporal boundaries of a replicable experimental setup. The coreference of coarser- and finer-grained descriptions of causal structures opens new possibilities (...) for testing the reductive physicalism conjecture. I discuss experimental designs supporting the causal mediation account and show how recent studies demonstrating the biological mediation of mind-mind causal processes can provide evidence for reductive physicalism. (shrink)

It is generally accepted that, in the cognitive and neural sciences, there are both computational and mechanistic explanations. We ask how computational explanations can integrate into the mechanistic hierarchy. The problem stems from the fact that implementation and mechanistic relations have different forms. The implementation relation, from the states of an abstract computational system to the physical, implementing states is a homomorphism mapping relation. The mechanistic relation, however, is that of part/whole; the explaining features in a mechanistic explanation are the (...) components of the explanandum phenomenon and their causal organization. Moreover, each component in one level of mechanism is constituted and explained by components of an underlying level of mechanism. Hence, it seems, computational variables and functions cannot be mechanistically explained by the medium-dependent states and properties that implement them. How then, do the computational and the implementational integrate to create the mechanistic hierarchy? After explicating the general problem, we further demonstrate it through a concrete example, of reinforcement learning, in the cognitive and neural sciences. We then examine two possible solutions. On one solution, the mechanistic hierarchy embeds at the same levels computational and implementational properties. This picture fits with the view that computational explanations are mechanistic sketches. On the other solution, there are two separate hierarchies, one computational and another implementational, which are related by the implementation relation. This picture fits with the view that computational explanations are functional and autonomous explanations. It is less clear how these solutions fit with the view that computational explanations are full-fledged mechanistic explanations. Finally, we argue that both pictures are consistent with the reinforcement learning example, but that scientific practice does not align with the view that computational models are merely mechanistic sketches. (shrink)

There is, of course, The Given: what is given in experience. The ‘Myth Of The Given’ is just a wrong answer to the question ‘What is given?’ This paper offers a brief sketch of three possible right answers. It examines an early account by Charles Augustus Strong of why The Myth is a myth. It maintains that a natural and naturalistic version of empiricism is compatible with the fact that the Myth is a myth. It gives proper place to (...) enactivist considerations. It is ) broadly in line with the Sellarsian view as refined by John McDowell. It meets an important constraint: acknowledging the reality of something that seems at first to lend support to The Myth—i.e. the fact that we can engage in ‘non-inferential self-attribution of … sensations’ —without in any way succumbing to the Myth. (shrink)

Recently, Piccinini and Craver have stated three theses concerning the relations between functional analysis and mechanistic explanation in cognitive sciences: No Distinctness: functional analysis and mechanistic explanation are explanations of the same kind; Integration: functional analysis is a kind of mechanistic explanation; and Subordination: functional analyses are unsatisfactory sketches of mechanisms. In this paper, I argue, first, that functional analysis and mechanistic explanations are sub-kinds of explanation by scientific (idealized) models. From that point of view, we must take into account (...) the tradeoff between the representational/explanatory goals of generality and precision that govern the practice of model-building. In some modeling scenarios, it is rational to maximize explanatory generality at the expense of mechanistic precision. This tradeoff allows me to put forward a problem for the mechanist position. If mechanistic modeling endorses generality as a valuable goal, then Subordination should be rejected. If mechanists reject generality as a goal, then Integration is false. I suggest that mechanists should accept that functional analysis can offer acceptable explanations of cognitive phenomena. (shrink)

Despite widespread recognition that psychiatry would be better served by a classificatory system based on etiology rather than mere description, it goes without saying that much of the necessary work is yet to be done. In this chapter I take up the increasingly important question of how mechanistic explanation fits into the larger effort to build a scientifically sound etiological and nosological framework. I sketch a rough picture of what mechanistic explanation should look like in the context of psychiatric (...) research, with a focus on several potential challenges posed by the special features of many psychiatric conditions. These include the role of social and environmental factors, the relatively transient nature of symptoms, the presumably complex organization of underlying systems, and the likelihood that many disorders are the product of nonstandard development. I suggest that these explanatory challenges can be met with a sufficiently broad notion of mechanism, one that allows for something less than the flawless execution of internal operations, appeals to the influence of contextual factors, and attends to organizational relations both within the mechanism itself and across the wider cognitive system. (shrink)

In this article, after presenting the basic idea of causal accounts of implementation and the problems they are supposed to solve, I sketch the model of computation preferred by Chalmers and argue that it is too limited to do full justice to computational theories in cognitive science. I also argue that it does not suffice to replace Chalmers’ favorite model with a better abstract model of computation; it is necessary to acknowledge the causal structure of physical computers that is (...) not accommodated by the models used in computability theory. Additionally, an alternative mechanistic proposal is outlined. (shrink)

The relationship between topological explanation and mechanistic explanation is unclear. Most philosophers agree that at least some topological explanations are mechanistic explanations. The crucial question is how to make sense of this claim. Zednik (Philos Psychol 32(1):23–51, 2019) argues that topological explanations are mechanistic if they (i) describe mechanism sketches that (ii) pick out organizational properties of mechanisms. While we agree with Zednik’s conclusion, we critically discuss Zednik’s account and show that it fails as a general account of how (...) and when topological explanations are mechanistic. First, if topological explanations were just mechanism sketches, this implies that they could be enriched by replacing topological terms with mechanistic detail. This, however, conflicts how topological explanations are used in scientific practice. Second, Zednik’s account fails to show how topological properties can be organizational properties of mechanisms that have a place in mechanistic explanation. The core issue is that Zednik’s account ignores that topological properties often are _global_ properties while mechanistic explanantia refer to _local_ properties. We demonstrate how these problems can be solved by a recent account of mechanistic completeness (Craver and Kaplan in Br J Philos Sci 71(1):287–319, 2020; Kohár and Krickel in Calzavarini and Viola (eds) Neural mechanisms—new challenges in the philosophy of neuroscience, Springer, New York, 2021) and use a multilayer network model of Alzheimer’s Disease to illustrate this. (shrink)

Intentionalism is a research program that seeks to explain facts about meaning and communication in psychological terms, with our capacity for intention recognition playing a starring role. My aim here is to recommend a methodological reorientation in this program. Instead of a focus on intuitive counterexamples to proposals about necessary-and-sufficient conditions, we should aim to investigate the psychological mechanisms whose activities and interactions explain our capacity to communicate. Taking this methodologi- cal reorientation to heart, I sketch a theory of (...) the cognitive architecture underlying language use that I have defended elsewhere. I then show how this theory can be used to give an account of non-communicative language use—a phenomenon that has long posed a challenge to intentionalism. (shrink)

This paper discusses the prospect of the "new social history" guided by the recent work of Charles Tilly on the methodology of social and historical explanation. Tilly advocates explanation by mechanisms as the alternative to the covering law explanation. Tilly's proposals are considered to be the attempt to reshape the practices of social and historical explanation following the example set by the explanatory practices of molecular biology, neurobiology, and other recent "success stories" in the life sciences. Recent work in the (...) philosophy of science on these practices by Peter Machamer, Lindley Darden, Carl Craver and others is used as the foil to disclose the difficulties of Tilly's project. Most important among them is the dilemma of specification: if diagrams (standard forms of the representation of mechanisms) are intended as representations of robust causal processes, they cannot be specific enough to provide complete mechanism schemata, and are bound to remain mechanism sketches. If mechanism sketches are elaborated in detail by tracing particular causal processes, they provide representations of fragile causal processes, which cannot be considered as mechanisms comparable to those in advanced life and other special sciences. Tilly's work on the explanation of mechanisms can be considered as symptomatic for the recent trend to visualize the forms of historical representation. As far as diagrams seem to be able to communicate stories in a direct way (without narrative discourse), this trend is a challenge for the theory of historical representation. The new theories of scientific explanation focusing on the explanatory practices of the life sciences can provide examples and be the source of inspiration for the work on the theory of historical and social explanation, going beyond the confines of the received framework of the covering law model of explanation. (shrink)

Researchers in the enactivist tradition have recently argued that social interaction can constitute social cognition, rather than simply serve as the context for social cognition. They contend that a focus on social interaction corrects the overemphasis on mechanisms inside the individual in the explanation of social cognition. I critically assess enactivism’s claims about the explanatory role of social interaction in social cognition. After sketching the enactivist approach to cognition in general and social cognition in particular, I identify problems with an (...) enactivist taxonomy of roles for social interaction in the explanation of social cognition (contextual, enabling, and constitutive). In particular, I show that this enactivist taxonomy does not clearly distinguish between enabling conditions and constitutive elements, which would make them in danger of committing the coupling-constitution fallacy found in some attempts to extend cognition. I explore resources enactivism has to more clearly demarcate constitutive parts of a cognitive system, but identify problems in applying them to some of the main cases of social cognition enactivists characterize as being constituted by social interaction. I offer the mechanistic approach to explanation as an alternative that captures much of what enactivists want to say about the relations between social and individual levels, but views social interactions from the perspective of embedded cognition rather than as being constitutive of social cognition. (shrink)

Long-Term Potentiation (LTP) is a kind of synaptic plasticity that many contemporary neuroscientists believe is a component in mechanisms of memory. This essay describes the discovery of LTP and the development of the LTP research program. The story begins in the 1950's with the discovery of synaptic plasticity in the hippocampus (a medial temporal lobe structure now associated with memory), and it ends in 1973 with the publication of three papers sketching the future course of the LTP research program. The (...) making of LTP was a protracted affair. Hippocampal synaptic plasticity was initially encountered as an experimental tool, then reported as a curiosity, and finally included in the ontic store of the neurosciences. Early researchers were not investigating the hippocampus in search of a memory mechanism; rather, they saw the hippocampus as a useful experimental model or as a structure implicated in the etiology of epilepsy. The link between hippocampal synaptic plasticity and learning or memory was a separate conceptual achievement. That link was formulated in at least three different ways at different times: reductively (claiming that plasticity is identical to learning), analogically (claiming that plasticity is an example or model of learning), and mechanistically (claiming that plasticity is a component in learning or memory mechanisms). The hypothesized link with learning or memory, coupled with developments in experimental techniques and preparations, shaped how researchers understood LTP itself. By 1973, the mechanistic formulation of the link between LTP and memory provided an abstract framework around which findings from multiple perspectives could be integrated into a multifield research program. (shrink)

In Kant's Critique of Judgment (CJ), the actual mechanism of the construction of aesthetic ideas is only briefly sketched. I suggest that there may be a connection between certain aspects of Sections 49 and 59, such that the creation of aesthetic ideas can be related to the process of "symbolic hypotyposis" (¤59.2). I will argue that the process of symbolic hypotyposis relates to the formation of aesthetic attributes, as symbols, through an analogical process; that a symbol acts, in effect, (...) as one part of the four parts of an analogy, and that the aesthetic idea may result from the application of the process of analogy. I will suggest that aesthetic attributes may, in some cases, function as symbols, and induce what I will term "conceptual overflow," in which the normal contents of the symbol are supplemented through the analogical process. (shrink)

An increasing number of philosophers have promoted the idea that mechanism provides a fruitful framework for thinking about the explanatory contributions of computational approaches in cognitive neuroscience. For instance, Piccinini and Bahar :453–488, 2013) have recently argued that neural computation constitutes a sui generis category of physical computation which can play a genuine explanatory role in the context of investigating neural and cognitive processes. The core of their proposal is to conceive of computational explanations in cognitive neuroscience as a (...) subspecies of mechanistic explanations. This paper identifies several challenges facing their mechanistic account and sketches an alternative way of thinking about the epistemic roles of computational approaches used in the study of brain and cognition. Drawing on examples from both low-level and systems-level computational neuroscience, I argue that at least some computational explanations of neural and cognitive processes are partially independent from mechanistic constraints. (shrink)

Despite the fact that the notion of internal representation has - at least according to some - a fundamental role to play in the sciences of the mind, not only has its explanatory utility been under attack for a while now, but it also remains unclear what criteria should an explanation of a given cognitive phenomenon meet to count as a representational explanation in the first place. The aim of this article is to propose a solution to this latter problem. (...) I will assume that representational explanations should be construed as a form of mechanistic explanations and proceed by proposing a general sketch of a functional architecture of a representational cognitive mechanism. According to the view on offer here, representational mechanisms are mechanisms that meet four conditions: the structural resemblance condition, the action-guidance condition, the decouplability condition, and the error-detection condition. (shrink)

It has been nearly half a century since the publication of Harry Braverman’s Labor and Monopoly Capital. That, along with Michael Burawoy’s subsequent interrogation of Braverman—Manufacturing Consent—set the terms for a robust and enduring research agenda that has focused on labor processes: the deskilling of work, managerial control over workers, consent, and the extraction of surplus value. This article endeavors to advance the labor process paradigm by highlighting recruitment as a tool by which employers maximize the likelihood that they will (...) hire people who will consent to their objectives, broadly defined. Drawing on a broad range of literatures, we show how recruitment and hiring practices constitute part of an overarching apparatus of control wherein managers imagine that particular people will be ideal for particular jobs and positions. We conclude by sketching a research agenda that sociologists of work and labor processes might undertake in order to understand these issues more thoroughly. (shrink)

Talk of mechanisms is ubiquitous in the natural sciences. Interdisciplinary fields such as biochemistry and pharmacy frequently discuss mechanisms with the assistance of diagrams. Such diagrams usually depict entities as structures or boxes and activities or interactions as arrows. While some of these arrows may indicate causal or componential relations, others may represent temporal or operational orders. Importantly, what kind of relation an arrow represents may not only vary with context but also be underdetermined by empirical data. In this manuscript, (...) we investigate how an analysis of pharmacological mechanisms in terms of producing and underlying mechanisms—as discussed in the contemporary philosophy of science—may shed light on these issues. Specifically, we shall argue that while pharmacokinetic mechanisms usually describe causal chains of production, pharmacodynamics tends to focus on mechanisms of action underlying the in vivo effects of a drug. Considering the action of thyroid gland hormones in the human body as a case study, we further demonstrate that pharmacodynamic schemes tend to incorporate entities and interactions on multiple levels. Yet, traditional pharmacodynamic schemes are sketched “flat”, i.e., non-hierarchically. We suggest that transforming flat pharmacodynamic schemes into mechanistic multi-level representations may assist in disentangling the different kinds of mechanisms and relations depicted by arrows in flat schemes. The resulting Baumkuchen model provides a powerful and practical alternative to traditional flat schemes, as it explicates the relevant mechanisms and relations more clearly. On a more general note, our discussion demonstrates how pharmacology and related disciplines may benefit from applying concepts from the new mechanist philosophy to guide the interpretation of scientific diagrams. (shrink)

The paper explores the emergence and development of socially responsible investment (SRI) in Japan. SRI is a recent field in Japan. It is not clear which model it will follow: the European, American or its own model. Through the analysis of the historical roots of SRI, the key actors and motivations that have contributed to its diffusion, the paper provides explorative grounds to sketch the translation mechanisms of SRI in Japan and offers insight into its future path. Based on (...) primary and secondary sources of information, the paper shows that although SRI in Japan holds some similarities with the U.S. and especially with the European model, it remains unique. It highlights the importance of translation and re-interpretation in adopting a practice in a new context. SRI in Japan is still in a dynamic construction process. Although we expect it to develop further, it is difficult to depict its future shape and form. (shrink)

Objective – is to formulate a methodological discourse regarding the place and role of the language interconnected with the process of socialization of a person and develop a systemic idea of the corresponding functional features. -/- Materials & Methods – this discourse is formulated on the basis of a systemic idea of the personality socialization, which, in turn, is realized using the structural-ontological method of studying the subject matter field in interdisciplinary researches. This method involves the construction of special visual-graphic (...) matrices that reflect the interaction of the primary process and the material of the studied system. -/- Results. The work with the structural-ontological matrix made it possible to analyze the functions of the language in the context of such significant factors of socialization as complex psychodynamics, civilization space and the function of reflection. At the same time, reflection is considered at the level of two plans – primary (reflection-bond) and secondary (reflection-splitting). This made it possible to deduce the idea of the role of language beyond the traditional framework of working with text and analyze the place of the language in the context of activities to establish a connection between individuals, which is realized in a specific cooperative situation (Shchedrovitsky). In particular, the look at language as a specific tool of civilizational rationing, the mechanism of which is provided through reflection-communication. Thus, the language is examined through the prism of its systemic influence on the morphology of the psyche. -/- Conclusions – a structural-ontological analysis of the place and role of language in the process of personality socialization has led us to construction of a hypothesis about the phenomenon of language discontentment, as a tendency to distance away ego-consciousness in the process of individuation from linguistic ontology. The arguments were also advanced in favor of the assumption regarding the peculiarities of the influence of language discontentment on cultural activities and the psychodynamic contribution of this phenomenon in the midlife crisis (Jung). (shrink)

A patent is a property granted to any new shape, configuration or arrangement of elements, of any device, tool, instrument, mechanism or other object or part thereof, that allows for a better or different operation, use or manufacture of the object that incorporates it or that provides it with some utility, advantage or technical effect that it did not have before. As a document, a patent really is a title that recognizes the right to exploit the patented invention exclusively, (...) preventing others from making, selling or using it without the consent of the owner. The fact of making a patent is motivated by the fact of promoting creativity, hindering competition in the market as only one person holds the patent, thus protecting the initial investment and fighting against plagiarism. Patents are available to the public for dissemination and general knowledge. It is generally recognized in the specialized literature that patents can be used as an indicator to calculate the results generated by research and development activities, being a very useful indicator to measure various social, economic or technological aspects. For this reason, it is of relevant interest to have tools or systems that allow us to obtain the patents developed in a specific period of time and to carry out analyses of various economic and social factors. These analyses can serve to obtain a social perspective of society’s progress in the technological field, and this is why an analysis of patents is of our interest. This paper proposes a platform specifically designed to obtain knowledge about patents as an indicator of Spanish social, economic or technological aspects. For this purpose, the platform retrieves, analyses and visualizes functionalities that represent data on the landscape of patents obtained from the Spanish Patent and Trademark Office as a particular case of study. (shrink)

This paper brings about a conversation between Schumpeterian and Polanyian perspectives on markets and their central role in the capitalist economy. For Schumpeter, markets were critical to the process of selftransformation of economic activity, but in his vision, markets as such were largely taken for granted. Markets enabled the introduction of new processes and products equally as well as rendering economic activities obsolete, with the entrepreneur and firm as agents of change, generating new combinations of activities and driven by the (...) creative power of knowledge. Innovation and markets are jointly the engines of endogenous growth. For Karl Polanyi, by contrast, although markets were the central feature of the capitalist economy from the beginning of the nineteenth century, his main interest is the constant impulse for markets as institutions to expand into every aspect of social life and the countermovement of regulation to restrain what he sees as their essentially destructive nature. His focus is therefore on markets as instituted economic processes, driven by the double movement of regulation and de-regulation. He scarcely considers innovation in production or consumption, concentrating on institutions of exchange and distribution. The paper explores the two perspectives in order to ask the question that their confrontation raises: What is the relation between intra-market endogenous change and marketframework institutional change? To test out each perspective, a schematic “long-duration” empirical account of the United Kingdom food distribution markets is subjected to a Schumpeterian and Polanyian reading, and each is exposed for complementary deficits. A broader explanatory framework is sketched that proposes analysis of innovation in market institutions--especially processes exchange and distribution-- in combination with innovation in production and consumption. It is suggested that to explore the constant change of capitalist economies, these four economic domains each involve different orders of innovation and transformation that have complex feedbacks and interactions with each other. Rather than according primacy to one or other order of change, we require a complex causal account embracing multiple instituted economic processes.Cet article discute de la vision des marchés et de leur rôle central dans l’économie capitaliste selon Schumpeter et Polanyi. Pour Schumpeter, les marchés sont essentiels au processus d’auto transformation de l’activité économique, mais dans son approche il présuppose l’existence des marchés. Les marchés permettent l’introduction de nouveaux processus et produits et rendent en même temps les activités économiques obsolètes. Les marchés, avec l’entrepreneur et la firme comme agents du changement, créent de nouvelles combinaisons d’activités et sont dynamisés par le pouvoir créatif de la connaissance. L’innovation et les marchés sont conjointement les moteurs de la croissance endogène. Chez Karl Polanyi, en revanche, bien que les marchés soient un élément central de l’économie capitaliste dès le début du 19ème siècle, l’attention se porte sur le mouvement permament des marchés-institutions à s’étendre à tous les domaines de la vie sociale ainsi que sur le contre-mouvement de la régulation à limiter ce que Polanyi considère comme la nature destructrice des marchés. Son interêt se porte ainsi aux marchés comme des processus économiques établis, conduits par un double mouvement de régulation et de dérégulation. Il ne considère que rarement l’innovation de production ou de consommation, et se concentre sur les institutions de l’échange et de la distribution.L’article explore les deux visions afin de sinterroger sur ce que la confrontation des approches soulève comme question: Quelle est la relation entre les changements endogènes intra marché et les changements institutionnels de la structure de marché? Pour tester chacune des visions, un compte-rendu empirique sur longue période de la distribution alimentaire au Royaume-Uni est soumis à une lecture Schumpeterienne et Polanyienne.Un cadre explicatif plus large est esquissé et suggère une analyse de l’innovation des institutions de marché - particulièrement des processus d’échange et de distribution - conjointement à l’innovation de production et de consommation. Il est suggéré que pour analyser le changement permanent des économies capitalistes, il faut considérer les ordres d’innovation et de transformation de ces quatres domaines économiques qui connaissent des “effets de retour” ainsi des interactions. Au lieu d’accorder la primauté à un des ordres de changement, il est nécessaire de rendre compte d’une causalité complexe qui prend en compte des processus économiques multiples. (shrink)

In a recent paper, Gualtiero Piccinini and Carl Craver have argued that psychology is not distinct from neuroscience. Many have argued that Piccinini and Craver’s argument is unsuccessful. However, none of these authors have questioned the appropriateness of Piccinini and Craver’s argument for their key premise—that functional analyses are mechanism sketches. My first and main goal in this paper is to show that Piccinini and Craver offer normative considerations in support of what is a descriptive premise and to provide (...) some guidelines on how to argue for this premise. My second goal is to show that the distinctness question should be of great significance for philosophy of cognitive science. (shrink)

Mechanistic explanations satisfy widely held norms of explanation: the ability to manipulate and answer counterfactual questions about the explanandum phenomenon. A currently debated issue is whether any nonmechanistic explanations can satisfy these explanatory norms. Weiskopf argues that the models of object recognition and categorization, JIM, SUSTAIN, and ALCOVE, are not mechanistic yet satisfy these norms of explanation. In this article I argue that these models are mechanism sketches. My argument applies recent research using model-based functional magnetic resonance imaging, a (...) novel neuroimaging method whose significance for current debates on psychological models and mechanistic explanation has yet to be explored. (shrink)

This paper considers the way mathematical and computational models are used in network neuroscience to deliver mechanistic explanations. Two case studies are considered: Recent work on klinotaxis by Caenorhabditis elegans, and a longstanding research effort on the network basis of schizophrenia in humans. These case studies illustrate the various ways in which network, simulation and dynamical models contribute to the aim of representing and understanding network mechanisms in the brain, and thus, of delivering mechanistic explanations. After outlining this mechanistic construal (...) of network neuroscience, two concerns are addressed. In response to the concern that functional network models are non-explanatory, it is argued that functional network models are in fact explanatory mechanism sketches. In response to the concern that models which emphasize a network’s organization over its composition do not explain mechanistically, it is argued that this emphasis is both appropriate and consistent with the principles of mechanistic explanation. What emerges is an improved understanding of the ways in which mathematical and computational models are deployed in network neuroscience, as well as an improved conception of mechanistic explanation in general. (shrink)

This article reconsiders the theoretical role of the genetic code. By drawing on published and unpublished sources from the 1950s, I analyse how the code metaphor was actually employed by the scientists who first promoted its use. The analysis shows that the term ‘code’ picked out mechanism sketches, consisting of more or less detailed descriptions of ordinary molecular components, processes, and structural properties of the mechanism of protein synthesis. The sketches provided how-possibly explanations for the ordering of amino (...) acids by nucleic acids. I argue that employing the code metaphor was justified in virtue of its descriptive-denotational and explanatory roles, and because it highlighted a similarity with conventional codes that was particularly salient at the time. 1 Introduction2 Coding Schemes in the 1950s2.1 The research problem: Determining amino acid sequences2.2 The solution: Mapping schemes or ‘codes’3 The Code Metaphor Played Descriptive and Explanatory Roles4 Theness of Codes and the Expendability of the Code Metaphor5 The Role of Arbitrariness6 Conclusions. (shrink)

Machamer, Darden, and Craver's account of the nature and role of mechanisms in the special sciences has been very influential. Unfortunately, a confusing array of ontic, epistemic, and pragmatic distinctions is required to individuate their mechanisms, mechanism schemata, and mechanism sketches. I diagnose this as a conflation of token-level causal relations with type-level relations. I propose instead that a mechanism is an abstraction that relates entity types and activity types on the model of a directed graph. Mechanisms (...) have an ontic status distinct from the causal chains of token entities and token activities that instantiate them. (shrink)

The so-called integration problem concerning mechanistic and computational explanation asks how they are related to each other. One approach is that a computational explanation is a species of mechanistic explanation. According to this view, computational or mathematical descriptions are mechanism sketches or macroscopic descriptions that include computationally relevant and exclude computationally irrelevant physical properties. Some suggest that this results in a so-called single hierarchy view of physical computation, where computational or mathematical properties sit together in the same mechanistic hierarchy (...) with the implementational properties. This view can be contrasted with a separate hierarchy view, according to which computational and physical descriptions have their own hierarchies which are related to each other via a bridging implementation relation. The single hierarchy view has been criticized for downplaying the explanatory value of computational explanations and not being hospitable to multiple realization of cognitive processes. In this paper, I argue that the aforementioned criticisms fail, and there might be a deeper problem with the single hierarchy view, which is that the single hierarchy view might collapse into a separate hierarchy view. The kind of abstraction used by the single hierarchy view does not seem to grant mathematical or computational descriptions but only more stripped physical or implementational descriptions. (shrink)

Cognitive science is an interdisciplinary research endeavor focusing on human cognitive phenomena such as memory, language use, and reasoning. It emerged in the second half of the 20th century and is charting new directions at the beginning of the 21st century. This chapter begins by identifying the disciplines that contribute to cognitive science and reviewing the history of the interdisciplinary engagements that characterize it. The second section examines the role that mechanistic explanation plays in cognitive science, while the third focuses (...) on the importance of mental representations in specifically cognitive explanations. The fourth section considers the interdisciplinary nature of cognitive science and explores how multiple disciplines can contribute to explanations that exceed what any single discipline might accomplish. The conclusion sketches some recent developments in cognitive science and their implications for philosophers. (shrink)

In this chapter, I sketch the history of mechanistic models of the mental, as related to the technological project of trying to build mechanical minds, and discuss the contemporary debates on psychological and cognitive explanations. In the first section, I introduce the Cartesian notion of mechanism, which has shaped the debate in the centuries to follow. Early mechanistic proposals are also connected with early attempts to formulate the computational account of thinking and reasoning, upheld notably by Hobbes and (...) Leibniz. In the second section, associationist and behaviorist models of the mind are sketched, along with attempts to understand the neural system in terms of connections and associations. Early robotic models, built mostly by behaviorists and other students of animal behavior, are also introduced. In the third section, the focus is on early computational and cybernetic models of the mind. In the fourth section, I deal with computational models of mental mechanisms as proposed by students of artificial intelligence and cognitive science. Then, I sketch the contemporary debate over the question whether computational and psychological models are best understood as offering functional, or maybe mechanistic explanations. (shrink)

The dominant neuroscientific theory of spatial memory is, like many theories in neuroscience, a multilevel description of a mechanism. The theory links the activities of molecules, cells, brain regions, and whole organisms into an integrated sketch of an explanation for the ability of organisms to navigate novel environments. Here I develop a taxonomy of interlevel experimental strategies for integrating the levels in such multilevel mechanisms. These experimental strategies include activation strategies, interference strategies, and additive strategies. These strategies are (...) mutually reinforcing, providing a kind of interlevel and intratheoretic robustness that has not previously been recognized. (shrink)

This book develops a new approach to naturalizing phenomenology. The author proposes to integrate phenomenology with the mechanistic framework that offers new methodological perspectives for studying complex mental phenomena such as consciousness. While mechanistic explanatory models are widely applied in cognitive science, their approach to describing subjective phenomena is limited. The author argues that phenomenology can fill this gap. He proposes two novel ways of integrating phenomenology and mechanism. First, he presents a new reading of phenomenological analyses as functional (...) analyses. Such functional phenomenology delivers a functional sketch of a target system and provides constraints on the space of possible mechanisms. Second, he develops the neurophenomenological approach in the direction of dynamic modeling of experience. He shows that neurophenomenology can deliver dynamical constraints on mechanistic models and thus inform the search for an underlying mechanism. (shrink)

This paper aims to offer a new view of the role of connectionist models in the study of human cognition through the conceptualization of the history of connectionism – from the simplest perceptrons to convolutional neural nets based on deep learning techniques, as well as through the interpretation of criticism coming from symbolic cognitive science. Namely, the connectionist approach in cognitive science was the target of sharp criticism from the symbolists, which on several occasions caused its marginalization and almost complete (...) abandonment of its assumptions in the study of cognition. Criticisms have mostly pointed to its explanatory inadequacy as a theory of cognition or to its biological implausibility as a theory of implementation, and critics often focused on specific shortcomings of some connectionist models and argued that they apply to connectionism in general. In this paper, we want to show that both types of critique are based on the assumption that the only valid explanations in cognitive science are instances of homuncular functionalism and that by removing this assumption and by adopting an alternative methodology – exploratory mechanistic strategy, we can reject most objections to connectionism as irrelevant, explain the progress of connectionist models despite their shortcomings and sketch the trajectory of their future development. By adopting mechanistic explanations and by criticizing functionalism, we will reject the objections of explanatory inadequacy, by characterizing connectionist models as generic rather than concrete mechanisms, we will reject the objections of biological implausibility, and by attributing the exploratory character to connectionist models we will show that practice of generalizing current to general failures of connectionism is unjustified. (shrink)

Mechanistic explanations of cognitive activities are ubiquitous in cognitive science. Humanist critics often object that mechanistic accounts of the mind are incapable of accounting for the moral agency exhibited by humans. We counter this objection by offering a sketch of how the mechanistic perspective can accommodate moral agency. We ground our argument in the requirement that biological systems be active in order to maintain themselves in nonequilibrium conditions. We discuss such consequences as a role for mental mechanisms in controlling (...) active systems and agents’ development of a self concept in which the self is represented as a moral agent. (shrink)

In this chapter, I argue that some aspects of cognitive phenomena cannot be explained computationally. In the first part, I sketch a mechanistic account of computational explanation that spans multiple levels of organization of cognitive systems. In the second part, I turn my attention to what cannot be explained about cognitive systems in this way. I argue that information-processing mechanisms are indispensable in explanations of cognitive phenomena, and this vindicates the computational explanation of cognition. At the same time, it (...) has to be supplemented with other explanations to make the mechanistic explanation complete, and that naturally leads to explanatory pluralism in cognitive science. The price to pay for pluralism, however, is the abandonment of the traditional autonomy thesis asserting that cognition is independent of implementation details. (shrink)

I sketch an explanatory framework that fits a variety of contemporary research programs in cognitive science. I then investigate the scope and the implications of this framework. The framework emphasizes (a) the explanatory role played by the semantic content of cognitive representations, and (b) the important mechanistic, non-intentional dimension of cognitive explanations. I show how both of these features are present simultaneously in certain varieties of cognitive explanation. I also consider the explanatory role played by grounded representational content, that (...) is, content evaluated by appeal to its truth, falsity, accuracy, inaccuracy and other relational properties. (shrink)

This article, the second of a two-part essay, outlines a solution to certain tensions in Thomist philosophical anthropology concerning the interaction of the human person’s immaterial intellectual or noetic operations with the psychosomatic sensory operations that are constituted from the formal organization of the nervous system. Continuing with where the first part left off, I argue that Thomists should not be tempted by strong emergentist accounts of mental operations that act directly on the brain, but should maintain, with Aquinas, that (...) noetic operations directly interact with psychosomatic operations. I develop a Thomist account of noetic–psychosomatic interactions that expands upon the first part’s rapprochement between the new mechanist philosophy of neuroscience and psychology and hylomorphic animalism. I argue that noetic–psychosomatic interactions are best understood as analogous to the way diverse higher and lower order psychosomatic powers interact by actualizing, coordinating, and directing the operations of other psychosomatic powers. I draw on James Ross’s arguments for the immateriality of intellectual operations as realizing definite pure functions in order to elucidate the way noetic operations uniquely actualize, coordinate, and direct the psychosomatic operations they interact with. I conclude with a conjectural sketch of how this presentation of Thomist philosophical anthropology understands the noetic and psychosomatic deficits brought about by damage to the nervous system. (shrink)

We sketch an axiomatic reformalization of Generalized Phrase StructureGrammar (GPSG) – a definition purely within the language ofmathematical logic of the theory GPSG embodies. While this treatment raisesa number of theoretical issues for GPSG, our focus is not thereformalization itself but rather the method we employ. The model-theoreticapproach it exemplifies can be seen as a natural step in the evolution ofconstraint-based theories from their grammar-based antecedents. One goal ofthis paper is to introduce this approach to a broader audience and (...) todemonstrate its application to an existing theory. As such, it joins agrowing literature of similar studies. Prior studies, however, have had anumber of weaknesses – they generally offer little in the way ofconcrete examples of the advantages the approach has to offer, theytypically ignore significant portions of the theories they address, and, byfully abstracting away from the notion of grammar mechanism, they largelyabandon the possibility of establishing meaningful complexity results. Thesecond goal of the paper is to address these issues. Our thrust is to sketchthe reformalization sufficiently to illustrate the way in which it capturesFeature Specification Defaults (FSDs) and the Exhaustive Constant PartialOrdering (ECPO) property. Our definition of FSDs is considerably simplifiedrelative to the original formalization and is free of the procedural flavorthat has led some to assume that FSDs are inherently dynamic. Our treatmentof ECPO uncovers a gap in its definition in the context of partialcategories that has heretofore gone unnoticed. We offer these as ademonstration of the kind of insight that a model-theoretic reinterpretationcan bring to an existing theory. Further, since these are the types ofproperties that prior studies in this genre have failed to address, FSDs andECPO provide a means for us to explore the limitations of these approachesand to offer ways of overcoming them. Finally, the logical framework weemploy has a well defined generative capacity – definability in thisframework characterizes strong context-freeness in a particular sense. Thus,despite being more abstract than its constraint-based predecessors, themodel-theoretic approach, as exemplified here, can offer stronger complexityresults than are typically available in the constraint-based framework. (shrink)

The target article sketched and explored a mechanism (action-oriented predictive processing) most plausibly associated with core forms of cortical processing. In assessing the attractions and pitfalls of the proposal we should keep that element distinct from larger, though interlocking, issues concerning the nature of adaptive organization in general.

The paper sketches the historical development from emotion as a mysterious entity and the source of maladaptive behaviour, to emotion as a collection of ingredients and the source of also adaptive behaviour. We argue, however, that the underlying mechanism proposed to take care of this adaptive behaviour is not entirely up for its task. We outline an alternative view that explains so-called emotional behaviour with the same mechanism as non-emotional behaviour, but that is at the same time more (...) likely to produce adaptive behaviour. The phenomena that were initially seen as requiring a separate emotional mechanism to influence and cause behaviour can also be explained by a goal-directed mechanism provided that more goals and other complexities inherent in the goal-directed process are taken into account. (shrink)

Sensibility, in any of its myriad realms – moral, physical, aesthetic, medical and so on – seems to be a paramount case of a higher-level, intentional property, not a basic property. Diderot famously made the bold and attributive move of postulating that matter itself senses, or that sensibility (perhaps better translated ‘sensitivity’ here) is a general or universal property of matter, even if he at times took a step back from this claim and called it a “supposition.” Crucially, sensibility is (...) here playing the role of a ‘booster’: it enables materialism to provide a full and rich account of the phenomena of conscious, sentient life, contrary to what its opponents hold: for if matter can sense, and sensibility is not a merely mechanical process, then the loftiest cognitive plateaus are accessible to materialist analysis, or at least belong to one and the same world as the rest of matter. This was noted by the astute anti-materialist critic, the Abbé Lelarge de Lignac, who, in his 1751 Lettres à un Amériquain, criticized Buffon for “granting to the body [la machine, a common term for the body at the time] a quality which is essential to minds, namely sensibility.” This view, here attributed to Buffon and definitely held by Diderot, was comparatively rare. If we look for the sources of this concept, the most notable ones are physiological and medical treatises by prominent figures such as Robert Whytt, Albrecht von Haller and the Montpellier vitalist Théophile de Bordeu. We then have, or so I shall try to sketch out, an intellectual landscape in which new – or newly articulated – properties such as irritability and sensibility are presented either as an experimental property of muscle fibers, that can be understood mechanistically (Hallerian irritability, as studied recently by Hubert Steinke and Dominique Boury) or a property of matter itself (whether specifically living matter as in Bordeu and his fellow montpelliérains Ménuret and Fouquet, or matter in general, as in Diderot). I am by no means convinced that it is one and the same ‘sensibility’ that is at issue in debates between these figures (as when Bordeu attacks Haller’s distinction between irritability and sensibility and claims that ‘his own’ property of sensibility is both more correct and more fundamental in organic beings), but I am interested in mapping out a topography of the problem of sensibility as property of matter or as vital force in mid-eighteenth-century debates – not an exhaustive cartography of all possible positions or theories, but an attempt to understand the ‘triangulation’ of three views: a vitalist view in which sensibility is fundamental, matching up with a conception of the organism as the sum of parts conceived as little lives (Bordeu et al.); a mechanist, or ‘enhanced mechanist’ view in which one can work upwards, step by step from the basic property of irritability to the higher-level property of sensibility (Haller); and, more eclectic, a materialist view which seeks to combine the mechanistic, componential rigour and explanatory power of the Hallerian approach, with the monistic and metaphysically explosive potential of the vitalist approach (Diderot). It is my hope that examining Diderot in the context of this triangulated topography of sensibility as property sheds light on his famous proclamation regarding sensibility as a universal property of matter. (shrink)

A refutation mechanism is introduced into logic programming, dual to the usual proof mechanism; then negation is treated via refutation. A four-valued logic is appropriate for the semantics: true, false, neither, both. Inconsistent programs are allowed, but inconsistencies remain localized. The four-valued logic is a well-known one, due to Belnap, and is the simplest example of Ginsberg’s bilattice notion. An efficient implementation based on semantic tableaux is sketched; it reduces to SLD resolution when negations are not involved. The (...) resulting system can give reasonable answers to queries that involve both negation and free variables. Also it gives the same results as Prolog when there are no negations. Finally, an implementation in Prolog is given. (shrink)

Film can be a significant way of doing public philosophy. This chapter sketches some essential public features of philosophy by using popular films. Learning to watch popular films as philosophical expressions, on par with books and articles, brings film and philosophy to inform one another and illuminate important areas of overlap. Memento is an especially uncanny film because it begins with the story's ending. Daniel J. Clark's 2018 documentary film Behind the Curve charts the resurgence of flat‐Earth theory in the (...) United States. Its core thesis is that false, avowed belief in flat‐Earth is sustained partly by an irrational weighing of evidence reinforced by various social, psychological, and economic benefits that come from holding the belief. We gain insight into a classic mechanism of motivated reasoning from Tony Kaye's film American History X, a fictional exploration of the rise of white supremacist ideology in US white working‐class neighborhoods. (shrink)