This paper motivates taking seriously the possibility that brains are basically protean: that they make use of neural structures in inventive, on-the-fly improvisations to suit circumstance and context. Accordingly, we should not always expect cognition to divide into functionally stable neural parts and pieces. We begin by reviewing recent work in cognitive ontology that highlights the inadequacy of traditional neuroscientific approaches when it comes to divining the function and structure of cognition. Cathy J. Price and Karl J. Friston, and (...) Colin Klein identify the limitations of relying on forward and reverse inferences to cast light on the relation between cognitive functions and neural structures. There is reason to prefer Klein’s approach to that of Price and Friston’s. But Klein’s approach is neurocentric - it assumes that we ought to look solely at neural contexts to fix cognitive ontology. Using recent work on mindreading as a case study, we motivate adopting a radically different approach to cognitive ontology. Promoting the Protean Brain Hypothesis, we posit the possibility that we may need to look beyond the brain when deciding which functions are being performed in acts of cognition and in understanding how the brain contributes to such acts by adapting to circumstance. (shrink)

The traditional approach to explanation in cognitive neuroscience is realist about psychological constructs, and treats them as explanatory. On the “standard framework,” cognitive neuroscientists explain behavior as the result of the instantiation of psychological functions in brain activity. This strategy is questioned by results suggesting the distribution of function in the brain, the multifunctionality of individual parts of the brain, and the overlap in neural realization of purportedly distinct psychological constructs. One response to this in the field has (...) been to employ the tools of databasing and machine learning to attempt to find and quantify specific correlations between psychological kinds such as ‘memory’ or ‘attention’ (or sub-kinds thereof) and patterns of activity in the brain. I assess the status and prospects of these projects. I argue that current proponents of the project are vague about their aims, vis-à-vis the standard framework, sometimes suggesting substantiation of the framework, sometimes suggesting retaining the framework but revising the ontology of mental constructs, and sometimes suggesting abandonment of the framework. I argue that extant results from within the projects fail to substantiate the standard framework, and propose an alternative. On my view, psychological constructs should not be viewed as explanantia, but instead as heuristic concepts that help us uncover ways that behaviors can vary and the ways that the brain implements those distinctions. I then discuss the normative upshot of these views for databasing and brain mapping projects. (shrink)

Cognitive ontology has become a popular topic in philosophy, cognitive psychology, and cognitive neuroscience. At its center is the question of which cognitive capacities should be included in the ontology of cognitive psychology and cognitive neuroscience. One common strategy for answering this question is to look at brain structures and determine the cognitive capacities for which they are responsible. Some authors interpret this strategy as a search for neural mechanisms, as understood by the (...) so-called new mechanistic approach. In this article, I will show that this new mechanistic answer is confronted with what I call the triviality problem. A discussion of this problem will show that one cannot derive a meaningful cognitive ontology from neural mechanisms alone. Nonetheless, neural mechanisms play a crucial role in the discovery of a cognitive ontology because they are epistemic proxies for best systematizations. (shrink)

The central task of cognitive neuroscience to map cognitive capacities to neural mechanisms faces three interlocking conceptual problems that together frame the problem of cognitive ontology. First, they must establish which tasks elicit which cognitive capacities, and specifically when different tasks elicit the same capacity. To address this operationalization problem, scientists often assess whether the tasks engage the same neural mechanisms. But to determine whether mechanisms are of the same or different kinds, we need to solve (...) the abstraction problem by determining which mechanistic differences are and are not relevant, and also the boundary problem by distinguishing the mechanism from its background conditions. Solving these problems, in turn, requires understanding how cognitive capacities are elicited in tasks. These three problems, which have been noted and discussed elsewhere in the literature, together form a ‘cycle of kinds’ that frames the central problem-space of cognitive ontology. We describe this cycle to clarify the intellectual challenges facing the cognitive ontologist and to reveal the kind of iterative process by which ontological revision in cognitive neuroscience is likely to unfold. (shrink)

The interpretation of functional imaging experiments is complicated by the pluripotency of brain regions. As there is a many-to-one mapping between cognitive functions and their neural substrates, region-based analyses of imaging data provide only weak support for cognitive theories. Price and Friston argue that we need a ‘cognitive ontology’ that abstractly categorizes the function of regions. I argue that abstract characterizations are unlikely to be cognitively interesting. I argue instead that we should attribute functions to regions in (...) a context-sensitive manner. I review recent meta-analyses that approach fMRI data in this light and argue that they have revisionary potential. (shrink)

The search for the “furniture of the mind” has acquired added impetus with the rise of new technologies to study the brain and identify its main structures and processes. Philosophers and scientists are increasingly concerned to understand the ways in which psychological functions relate to brain structures. Meanwhile, the taxonomic practices of cognitive scientists are coming under increased scrutiny, as researchers ask which of them identify the real kinds of cognition and which are mere vestiges of folk psychology. Muhammad (...) Ali Khalidi presents a naturalistic account of “real kinds” to validate some central taxonomic categories in the cognitive domain, including concepts, episodic memory, innateness, domain specificity, and cognitive bias. He argues that cognitive kinds are often individuated relationally, with reference to the environment and etiology of the thinking subject, whereas neural kinds tend to be individuated intrinsically, resulting in crosscutting relationships among cognitive and neural categories. (shrink)

This special issue brings together philosophical perspectives on the debate over cognitive ontology. We contextualize the papers in this issue by considering several different senses of the term “cognitive ontology” and linking those debates to traditional debates in philosophy of mind.

A review of Muhammad Ali Khalidi's Cognitive Ontology: Taxonomic Practices in the Mind-Brain Sciences.

We discuss recent progress in the development of cognitive ontologies and summarize three challenges in the coordinated development and application of these resources. Challenge 1 is to adopt a standardized definition for cognitive processes. We describe three possibilities and recommend one that is consistent with the standard view in cognitive and biomedical sciences. Challenge 2 is harmonization. Gaps and conflicts in representation must be resolved so that these resources can be combined for mark-up and interpretation of (...) multi-modal data. Finally, Challenge 3 is to test the utility of these resources for large-scale annotation of data, search and query, and knowledge discovery and integration. As term definitions are tested and revised, harmonization should enable coordinated updates across ontologies. However, the true test of these definitions will be in their community-wide adoption which will test whether they support valid inferences about psychological and neuroscientific data. (shrink)

The distinction between body image and body schema has been incredibly influential in cognitive neuroscience. Recently, researchers have begun to speculate about the relationship between these representations (Gadsby, 2017, 2018; Pitron & de Vignemont, 2017; Pitron et al., 2018). Within this emerging literature, Pitron et al. (2018) proposed that the long-term body image and long-term body schema co-construct one another, through a process of reciprocal interaction. In proposing this model, they make two assumptions: that the long-term body image incorporates (...) the spatial characteristics of tools, and that it is distorted in the case of Alice in wonderland syndrome. Here, I challenge these assumptions, with a closer examination of what the term “long-term body image” refers to. In doing so, I draw out some important taxonomic principles for research into body representation. -/- . (shrink)

My commentary focuses on Khalidi's defense of episodic memory as a cognitive kind. His argument relies on merging two distinct accounts of episodic memory—the phenomenal and the etiological. I suggest that Khalidi's framework can be used to carve the contemporary memory literature differently. On this view, the phenomenal account supports constructive episodic simulation as a cognitive kind, the etiological account supports event memory as a cognitive kind, and episodic memory ceases to be. The question for Khalidi is, (...) then, how to evaluate this alternative proposal—and more broadly how to adjudicate between competing and overlapping accounts of cognitive kinds. (shrink)

This paper provides an overview over the debate about so-called “situated approaches to cognition” that depart from the intracranialism associated with traditional cognitivism insofar as they stress the importance of body, world, and interaction for cognitive processing. It sketches the outlines of an overarching framework that reveals the differences, commonalities, and interdependencies between the various claims and positions of second-generation cognitive science, and identifies a number of apparently unresolved conceptual and ontological issues.

The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors (...) and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts. Of particular importance to the Cognitive Process Ontology is the class Representation that is Warranted. Such a representation is descriptive in nature and deserving of trust in its veridicality. The latter is because a Representation that is Warranted is always produced by a process that was vetted (or successfully designed) to reliably produce veridical representations. As such, Representations that are Warranted are what in other contexts we might refer to as ‘items of knowledge’. (shrink)

Cognitive categories in the geographic realm appear to manifest certain special features as contrasted with categories for objects at surveyable scales. We have argued that these features reflect specific ontological characteristics of geographic objects. This paper presents hypotheses as to the nature of the features mentioned, reviews previous empirical work on geographic categories, and presents the results of pilot experiments that used English-speaking subjects to test our hypotheses. Our experiments show geographic categories to be similar to their non-geographic counterparts (...) in the ways in which they generate instances of different relative frequencies at different levels. Other tests, however, provide preliminary evidence for the existence of important differences in subjects’ categorizations of geographic and non-geographic objects, and suggest further experimental work especially with regard to the role in cognitive categorization of different types of object-boundaries at different scales. (shrink)

Cognitive dualism offers a defensible conception of theism, and Scruton is right to endorse it. However, he retains a commitment to the ontological dualism it is his purpose to reject, and this leads to a deep tension in his position which leaves him unable to make sense of there being a route to the Divine. I argue that this tension stems from a residual commitment to a Kantian framework, and that this framework is not mandatory. I propose an alternative (...) model which is compatible with much of what Scruton says, but which offers a more consistent and satisfactory theistic picture. (shrink)

Common sense is on the one hand a certain set of processes of natural cognition - of speaking, reasoning, seeing, and so on. On the other hand common sense is a system of beliefs (of folk physics, folk psychology and so on). Over against both of these is the world of common sense, the world of objects to which the processes of natural cognition and the corresponding belief-contents standardly relate. What are the structures of this world? How does the scientific (...) treatment of this world relate to traditional and contemporary metaphysics and formal ontology? Can we embrace a thesis of common-sense realism to the effect that the world of common sense exists uniquely? Or must we adopt instead a position of cultural relativism which would assign distinct worlds of common sense to each group and epoch? The present paper draws on recent work in computer science (especially in the fields of naive and qualitative physics), in perceptual and developmental psychology, and in cognitive anthropology, in order to consider in a new light these and related questions and to draw conclusions for the methodology and philosophical foundations of the cognitive sciences. (shrink)

Language understanding is one of the most important characteristics for human beings. As a pervasive phenomenon in natural language, metaphor is not only an essential thinking approach, but also an ingredient in human conceptual system. Many of our ways of thinking and experiences are virtually represented metaphorically. With the development of the cognitive research on metaphor, it is urgent to formulate a computational model for metaphor understanding based on the cognitive mechanism, especially with the view to promoting natural (...) language understanding. Many works have been done in pragmatics and cognitive linguistics, especially the discussions on metaphor understanding process in pragmatics and metaphor mapping representation in cognitive linguistics. In this paper, a theoretical framework for metaphor understanding based on the embodied mechanism of concept inquiry is proposed. Based on this framework, ontology is introduced as the knowledge representation method in metaphor understanding, and metaphor mapping is formulated as ontology mapping. In line with the conceptual blending theory, a revised conceptual blending framework is presented by adding a lexical ontology and context as the fifth mental space, and a metaphor mapping algorithm is proposed. (shrink)

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence (AI) has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the knowledge base of an intelligent system, which (...) can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the knowledge base of an intelligent system, which can (...) be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

Ontology cannot be left to the natural sciences, if only because it deals also with hypothetical and fictional objects. It pivots about proto-categorical issues relating to the features of objects of any and all kinds. This brings into its range issues that test the limits of knowledge by asking questions that are inherently unanswerable (for example: “What is an instance of an occurrence that no one ever mentions?”). And it raises issues of norms and values that science (in its usual (...) configuration) does not address. (shrink)

dolce, the first top-level ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly formalized, (...) and is built according to well-established ontological methodologies, e.g. OntoClean. Because of these features, it has inspired most of the existing top-level ontologies and has been used to develop or improve standards and public domain resources. Being a foundational ontology, dolce is not directly concerned with domain knowledge. Its purpose is to provide the general categories and relations needed to give a coherent view of reality, to integrate domain knowledge, and to mediate across domains. In these 20 years dolce has shown that applied ontologies can be stable and that interoperability across reference and domain ontologies is a reality. This paper briefly introduces the ontology and shows how to use it on a few modeling cases. (shrink)

Since cognitive neuroscience aims at giving an integrated account of mind and brain, its ontology should include both neural and cognitive entities and specify their relations. According to what we call the standard ontological framework of cognitive neuroscience, the aim of cognitive neuroscience should be to establish one-to-one mappings between neural and cognitive entities. Where such entities do not yet closely align, this can be achieved by reforming the cognitive ontology, the neural ontology, or (...) both. In order to assess the limits and the possibilities of the SOFCN, we will examine a paradigmatic case study: the concept of Broca’s area, which indicates an alleged mapping between the left inferofrontal gyrus and the production of language. We review evidence showing that such a mapping does not hold, thus calling into question either the status of Broca’s area or the validity of the SOFCN. We then propose some strategies for addressing the issue and suggest that it may be solved within the SOFCN by adopting both of the following strategies: first, more accurately defining the relevant neural structures and second, switching the focus of neural ontology from structures to events, individuated by a where conjoint with a how. (shrink)

Kant's account of the experience of the sublime in nature and the incommensurability of its bases in the two European traditions of philosophy that feed into modern cognitive psychology, the holism of Leibniz and the analytic reductionism of Locke, are used to develop a new theory of human nature in terms of developmental interactions between initially separate cognitive domains. More recent illustrations of this separation/interaction are found in debates over 'emergence' in modern science and theories of consciousness. Shifting (...) from competitive epistemologies to a resulting ontology of human nature, the cognitive development of mind through childhood can itself be understood as multiple but necessarily incomplete fusions between person knowing and a thing/tool knowing , based here on a Vygotskian model of their reciprocal internalizations, and leading into our ostensibly differentiated and humanly unique multiple adult intelligences. A consequence is that human consciousness, while based on these selective and necessarily partial domain integrations, as in the separate directionalities of spirituality and science/technology, is fundamentally and permanently unbalanced. Kant's sublime and Rudolf Otto's related analysis of numinous-uncanny feeling exemplify the inner dynamism of this intrinsic unbalance, constituting the species specific form of the perpetual orientation to novelty that drives us forward toward the very best and very worst of the human condition. (shrink)

The term ontology of cognition is introduced to promote a neo-Kantian approach to epistemological questions. Following the discussion of some aspects of philosophy of cognitive subject authors claim that the most appropriate approach requires turning attention to a whole human species as a governed by the evolution rules collective, cognitive subject rather than individual one.

The aim of this paper is to show that there is a reciprocal dependency relationship between social cognition and social ontology. It is argued that, on the one hand, the existence conditions of socially meaningful objects and of social groups are about subjects’ social cognitive processes and interactive patterns and, on the other hand, social cognitive processes and interactive patterns are modulated by socially meaningful objects and social groups. I proceed from a historically informed distinction between social (...) class='Hi'>ontologies – between what might be called constructivist and emergentist theories of social reality. I then distinguish three theories of social cognition, theory-theory, simulation theory, and interaction theory, and argue that the first distinction and the latter map onto each other. Finally I argue that the reciprocal dependency between social ontology and social cognition can be justifiably though of as causal in Di Paolo et. al.’s (2010) sense of “downward” or “circular” causation. It is concluded that the dependency between social ontology and social cognition pertain to both a methodological and a phenomenal level. First, research on social ontology depends on research on social cognition; and, secondly, social phenomena, involving socially meaningful objects and groups, influence social cognitive processes and interaction, which in turn influence social phenomena. (shrink)

The aim of this paper is to show that there is a reciprocal dependency relationship between social cognition and social ontology. It is argued that, on the one hand, the existence conditions of socially meaningful objects and of social groups are about subjects’ social cognitive processes and interactive patterns and, on the other hand, social cognitive processes and interactive patterns are modulated by socially meaningful objects and social groups. I proceed from a historically informed distinction between social (...) class='Hi'>ontologies – between what might be called constructivist and emergentist theories of social reality. I then distinguish three theories of social cognition, theory-theory, simulation theory, and interaction theory, and argue that the first distinction and the latter map onto each other. Finally I argue that the reciprocal dependency between social ontology and social cognition can be justifiably though of as causal in Di Paolo et. al.’s sense of “downward” or “circular” causation. It is concluded that the dependency between social ontology and social cognition pertain to both a methodological and a phenomenal level. First, research on social ontology depends on research on social cognition; and, secondly, social phenomena, involving socially meaningful objects and groups, influence social cognitive processes and interaction, which in turn influence social phenomena. (shrink)

What follows is a first step towards an ontology of conscious mental processes. We provide a theoretical foundation and characterization of conscious mental processes based on a realist theory of intentionality and using BFO as our top-level ontology. We distinguish three components of intentional mental process: character, directedness, and objective referent, and describe several features of the process character and directedness significant to defining and classifying mental processes. We arrive at the definition of representational mental process as a process that (...) is the bringing into being, sustaining, modifying, or terminating of a mental representation. We conclude by outlining some benefits and applications of this approach. (shrink)

Theories of collective intentions must distinguish genuinely collective intentions from coincidentally harmonized ones. Two apparently equally apt ways of doing so are the ‘neo-reductionism’ of Bacharach (2006) and Gold and Sugden (2007a) and the ‘non-reductionism’ of Searle (1990, 1995). Here, we present findings from theoretical linguistics that show that we is not a cognitive primitive, but is composed of notions of I and grouphood. The ramifications of this finding on the structure both of grammatical and lexical systems suggests that (...) an understanding of collective intentionality does not require a primitive we-intention, but the notion of grouphood implicit in team reasoning, coupled with the individual concept I. This, we argue, supports neo-reductionism but poses difficulties for non-reductionism. (shrink)

Context: Von Foerster’s concept of eigenbehavior can be recognized against the broader context of enactivism as it has been advocated by Varela, Thompson and Rosch, by Noë and recently by Hutto and Myin, among others. This flourishing constellation of ideas is on its way to becoming the new paradigm of cognitive science. However, in my reading, enactivism, putting stress on the constitutive role of action when it comes to mind and perception, faces a serious philosophical challenge when attempting to (...) account for the way we actually perceive our environments, most importantly for the fact that we perceive things or objects. Von Foester’s eigenbehavior is understood here as a concept supposed to take on this challenge. Problem: In this article I tackle the following issues: Enactivism must be able to account for the apparent stability of the perceived world: this is not a realm of a never-ending flux of stimuli; it is a realm of stable things. Enactivism is committed to the anti-Cartesian endeavor seeking to bridge the gap between the inner and the outer; between the subjective and the objective. Now, these two points constrain each other so that one cannot address simply by regarding the apparent stability of things as a projection that springs out of the internal machinery binding inputs with outputs. This is because the very idea of such an internal machinery opposes, i.e., it employs the Cartesian dichotomy. So, enactivism is in need of an account of that would not oppose its anti-Cartesian commitment. Method: I introduce the ontology of location and niche theory, as it has been brought forth by Varzi, Casati, and Smith, and develop it so that it can be used in the philosophy of mind. This is a conceptual, semi-formal philosophical analysis. Results: I shall come up with the idea of object conceived of a product of action, and - drawing on von Foerster’s central idea - as a product of coordination of perceptions. Yet, it is not coordination of stimuli but coordination of cognitive connections. The notion of connection is thus articulated in the article and cast as the central concept in my proposal. Implications: We are able to account for both and (2. The apparent stability of the perceived world is due to the setting up and maintaining of connections between the perceiver and the things perceived, resulting in the establishment of what I call a cognitive niche. Constructivist content: Constructivism, broadly construed, takes, in my reading, a negative stance in the first place. Namely, it opposes what I call the metaphysics of the ready-made world. So, it holds that there is no ready-made reality; however it remains open when it comes to positive claims: a mind-independent reality does not exist at all or it does exist but it is not ready-made and as such it must be brought to completion, so to speak, or enacted, as Varela et al. would say, by a cognitive subject. In this article, I follow the latter and address one specific issue: how the enacted world gains its relatively stable architecture. (shrink)

Perspectives on Social Ontology and Social Cognition brings together contributions discussing issues arising from theoretical and empirical research on social ontology and social cognition. It is the first comprehensive interdisciplinary collection in this rapidly expanding area. The contributors draw upon their diverse backgrounds in philosophy, cognitive science, behavioral economics, sociology of science and anthropology. -/- Based largely on contributions to the first Aarhus-Paris conference held at the University of Aarhus in June 2012, the book addresses such questions as: If (...) the reference of concepts like money is fixed by collective acceptance, does it depend on mechanisms that are distinct from those which contribute to understanding the reference of concepts of other kinds of entity? What psychological and neural mechanisms, if any, are involved in the constitution, persistence and recognition of social facts? -/- The editors' introduction considers strands of research that have gained increasing importance in explaining the cognitive foundations of acts of sociality, for example, the theory that humans are predisposed and motivated to engage in joint action with con-specifics thanks to mechanisms that enable them to share others' mental states. The book also presents a commentary written by John Searle for this volume and an interview in which the editors invite Searle to respond to the various questions raised in the introduction and by the other contributors. (shrink)

Theories of collective intentions must distinguish genuinely collective intentions from coincidentally harmonized ones. Two apparently equally apt ways of doing so are the ‘neo-reductionism’ of Bacharach (2006) and Gold and Sugden (2007a) and the ‘non-reductionism’ of Searle (1990, 1995). Here, we present findings from theoretical linguistics that show that we is not a cognitive primitive, but is composed of notions of I and grouphood. The ramifications of this finding on the structure both of grammatical and lexical systems suggests that (...) an understanding of collective intentionality does not require a primitive we-intention, but the notion of grouphood implicit in team reasoning, coupled with the individual concept I. This, we argue, supports neo-reductionism but poses difficulties for non-reductionism. (shrink)

Cognitive control is not only componential, but those components may interact in complicated ways in the service of cognitive control tasks. This complexity poses a challenge for developing an ontological description, because the mapping may not be direct between our task descriptions and true component differences reflected in indicators. To illustrate this point, I discuss two examples: (a) the relationship between adaptive gating and working memory and (b) the recent evidence for a control hierarchy. From these examples, I (...) argue that an ontological program must simultaneously seek to identify component processes and their interactions within a broader processing architecture. (shrink)

Information is the fuel of cognition. At its most basic level, information is a matter of structures interacting under laws. The notion of information thus reflects the (relational) fact that a structure is created by the impact of another structure. The impacted structure is an encoding, in some concrete form, of the interaction with the impacting structure. Information is, essentially, the structural trace in some system of an interaction with another system; it is also, as a consequence, the structural fuel (...) which drives the impacted system's subsequent processes and behavior. Information takes various forms because the world has many levels of compositional and functional complexity, under different constraints. The key constraints that matter in the understanding of information are natural patterns of organization, or types, and systematic correlations among types, or laws. These level- sensitive constraints, in the form of types and laws, shape the very form in which information is tokened in some structure, that is, the very form in which it is encoded. As a result, the information-producing interactions bring about different sorts of structures, with various sorts of causal effects and functions, whence so many ways in which information is coded and utilized. (shrink)

Shaun Gallagher [2019] argues for a ‘non-classical’ conception of nature, which includes subjects as irreducible constituents. As such, first-person phenomenology can be naturalised and at the same time resist reduction to the third-person. In the first part of this paper, I raise three concerns for the claim that nature is irreducibly subject-involving. In the second part of the paper, I suggest that embracing a process ontology could help strengthen Gallagher’s proposal.

Despite recent major advances in the neuroscience underlying cognition, the processes of its emergence and evolution are far from being understood. In our view, current interrelated concepts of mind; knowledge; epistemology; perception; cognition and information fail to reflect the real dynamics of mental processes, their ontology and their logic. It has become routine to talk about information in relation to these processes, but there is no consensus about its most relevant qualitative and functional properties. We present a theory of human (...) cognition based on an ontology and epistemology of information and information processes originally proposed by Wu including an ontological doctrine of the different grades of information; and an informational epistemology based on a noegenesis of the doctrine of informational intermediaries that mediate between the cognitive subject and object. This theory is supported by the new, non-propositional logic proposed recently by Brenner. We demonstrate the utility of our approach for the reconceptualization of the virtual properties of reality and cognition. It is strongly anti-representationalist and can provide the basis for the integration of inputs from outside the brain into cognitive structures. For us, the philosophy of information is a metaphilosophy, implying major changes in both the content and methodology of standard philosophical disciplines. We suggest that this philosophy of information and our informational approach may help guide research in a number of current areas of cognitive science. (shrink)

Does the proper pursuit of cognitive science necessitate a devaluation of the ostensible phenomenon of linguistically framed conceptual thought? Paul Churchland has asserted the necessity of such devaluation forthrightly, and others have shown varying degrees of inclination in this direction.

This article clarifies three principles that should guide the development of any cognitive ontology. First, that an adequate cognitive ontology depends essentially on an adequate task ontology; second, that the goal of developing a cognitive ontology is independent of the goal of finding neural implementations of the processes referred to in the ontology; and third, that cognitive ontologies are neutral regarding the metaphysical relationship between cognitive and neural processes.

In this response to three critiques of my book, Cognitive ontology, I expand on some of its main themes. First, I demarcate the domain of cognition to support my claim that it is properly investigated from Marr's computational level. Then, I defend the claim that cognitive kinds ought to be individuated externalistically, by contrast with neural kinds, which are often individuated internalistically. This implies that the relationship between the cognitive sciences is one of delivering mutual constraints, which (...) is a more productive research strategy than the search for “neural correlates” of cognitive constructs. (shrink)

The aim of this paper is twofold: first, I provide a cluster of theories of truth in classical logic that is (internally) consistent with global reflection principles: the theories of positive truth (and falsity). After that, I analyse the _epistemic value_ of such theories. I do so employing the framework of cognitive projects introduced by Wright (Proc Aristot Soc 78:167–245, 2004), and employed—in the context of theories of truth—by Fischer et al. (Noûs 2019. https://doi.org/10.1111/nous.12292 ). In particular, I will (...) argue that theories of positive truth are _trustworthy_, analogously to the theories of full disquotational truth. Moreover, I argue that, for a given cognitive project, _if_ the acceptance of trustworthy theories is taken to be an _epistemic norm_ of cognitive project, then one has good reasons to accept theories of positive truth over other rival theories of truth in classical logic. On the other hand, the latter theories are deemed epistemically unacceptable. (shrink)

Ontology has been proposed as a solution to the 'Tower of Babel' problem that threatens the semantic interoperability of information systems constructed independently for the same domain. In information systems research and applications, ontologies are often implemented by formalizing the meanings of words from natural languages. However, words in different natural languages sometimes subdivide the same domain of reality in terms of different conceptual categories. If the words and their associated concepts in two natural languages, or even in two (...) terminological traditions within the same language, do not have common referents in the real world, an ontology based on word meanings will inherit the 'Tower of Babel' problem from the languages involved, rather than solve it. In this paper we present evidence from a preliminary comparison of landscape terms in English with those in the Yindjibarndi language of northwestern Australia demonstrating that this problem is not just hypothetical. Some possible solutions are suggested. (shrink)

The paper discusses the concept of the cognitive niche and distinguishes the latter from the metabolic niche. By using these posits I unpack certain ideas that are crucial for the enactivist movement, especially for its original formulation proposed by Varela, Thompson and Rosh. Drawing on the ontology of location, boundaries, and parthood, I argue that enacting the world can be seen as the process of cognitive niche construction. Moreover, it turns out that enactivism—as seen through the lens of (...) the conceptual framework proposed in the paper—considers cognition as a kind of connection between the subject and the world. This post is pointed to as the key idea laid down in enactivism. (shrink)

The focus of this paper is the dispute between the Academic Arcesilaus of Pitane (ca. 316–240 BC) and the philosophy of Zeno of Citium. Scholars typically claim that Arcesilaus set out to attack Zeno’s epistemology or theory of knowledge. The framework of epistemology prevails in the modern reconstruction of Arcesilaus’s arguments. Proponents of this framework usually contend that the epistemic possibility of Stoic “cognition” or “apprehension” (κατάληψις) is the principal aim of Arcesilaus’s attack. The aim of this article is to (...) contest the limited scope of the framework of epistemology in the interpretation of Arcesilaus’s attack, and reposition his critical arguments, in view of the fragmentary evidence, within the framework of an ontology of knowledge. (shrink)

The target article criticises reductionist programs in cognitive science for failing to take into account important explanatory features of the organism's physical embodiment and task environment. My aim in this commentary is to show how such features are increasingly being taken seriously by (some) researchers in cognitive neuroscience, who describe the functional activity of neural structures in terms that are context-sensitive rather than intrinsic. This approach can allow us to take seriously the concerns presented in Gallagher’s [2019] target (...) article without having to completely give up on neuroscientific explanations of human behaviour. (shrink)