Frames, i.e., recursive attribute-value structures, are a general format for the decomposition of lexical concepts. Attributes assign unique values to objects and thus describe functional relations. Concepts can be classified into four groups: sortal, individual, relational and functional concepts. The classification is reflected by different grammatical roles of the corresponding nouns. The paper aims at a cognitively adequate decomposition, particularly, of sortal concepts by means of frames. Using typed feature structures, an explicit formalism for the characterization of cognitive frames (...) is developed. The frame model can be extended to account for typicality effects. Applying the paradigm of object-related neural synchronization, furthermore, a biologically motivated model for the cortical implementation of frames is developed. Cortically distributed synchronization patterns may be regarded as the fingerprints of concepts. (shrink)

Many philosophers and neuroscientists defend a view we express with the slogan that mental science is neuroscience. We argue that there are two ways of interpreting this view, depending on what is meant by ‘neuroscience’. On one interpretation, the view is that mental science is cognitive neuroscience, where this is the science that integrates psychology with the biology of the brain. On another interpretation, the view is that mental science is biological neuroscience, where this is the investigation concerned (...) with the chemistry, physiology and anatomy of neurons and neuronal assemblies. Since the claim about cognitive neuroscience is a scientific triviality, we concentrate on the claim about biological neuroscience, and criticise two initially promising lines of argument for it, one prompted by reflection on the history of biology, and one prompted by reflection on the neurophysiological process known as long‐term potentiation, which may be implicated in learning. We argue that neither of these arguments is successful in supporting the view that mental science is biological neuroscience. (shrink)

Many philosophers and neuroscientists defend a view we express with the slogan that mental science is neuroscience. We argue that there are two ways of interpreting this view, depending on what is meant by ‘neuroscience’. On one interpretation, the view is that mental science is cognitive neuroscience, where this is the science that integrates psychology with the biology of the brain. On another interpretation, the view is that mental science is biological neuroscience, where this is the investigation concerned (...) with the chemistry, physiology and anatomy of neurons and neuronal assemblies. Since the claim about cognitive neuroscience is a scientific triviality, we concentrate on the claim about biological neuroscience, and criticise two initially promising lines of argument for it, one prompted by reflection on the history of biology, and one prompted by reflection on the neurophysiological process known as long‐term potentiation, which may be implicated in learning. We argue that neither of these arguments is successful in supporting the view that mental science is biological neuroscience. (shrink)

Normative characterization is a commonplace feature of biological and cognitive explanation. Such language seems to commit the biological and cognitive sciences to the existence of natural norms, but it is also difficult to understand how such normativity fits into a natural world of physical causes and forces. I propose to map normativity onto systems stabilized by counteractive constraints. Such a mapping, I believe, can explain normativity’s causal-explanatory role in biological and cognitive inquiry. The common (...) approach in the literature is to derive an account of natural normativity by way of a particular theory of function. I avoid that approach here and attempt to address directly the sort of physical systems that might satisfy naturalizing criteria for normativity. This has the advantages, I think, of allowing an account of normativity without first having to decide the correct theory of function as well as allowing for the theoretical possibility that normative and functional explanation might come apart within empirical explanation. (shrink)

This article addresses the issue of objectivism vs constructivism in two areas,biology and cognitive science, which areintermediate between the natural sciences suchas physics (where objectivism is dominant) andthe human and social sciences (whereconstructivism is widespread). The issues inbiology and in cognitive science are intimatelyrelated; in each of these twin areas, the objectivism vs constructivism issue isinterestingly and rather evenly balanced; as aresult, this issue engenders two contrastingparadigms, each of which has substantialspecific scientific content. The neo-Darwinianparadigm in biology is (...) closely resonant withthe classical cognitivist paradigm in cognitivescience, and both of them are intrinsicallyobjectivist. The organismic paradigm inbiology, based on the concept of autopoiesis,is consonant with the paradigm of enaction incognitive science; the latter paradigms are bothprofoundly constructivist.In cognitive science, the objectivism vsconstructivism issue is internal to thescientific field itself and reflexivity isinescapable. At this level, strong ontologicalobjectivism is self-contradictory and thereforeuntenable. Radical constructivism isself-coherent; but it also rehabilitatesa weak form of objectivism as a pragmaticallyviable alternative. In conclusion, there is aneven-handed reciprocity between objectivistand constructivist perspectives. Finally, thearticle examines the consequences of thisconclusion for fields other than cognitivescience: biology; physics and the naturalsciences; and the human and social sciences. (shrink)

According to the traditional nomological-deductive methodology of physics and chemistry [Hempel and Oppenheim, 1948], explaining a phenomenon means subsuming it under a law. Logic becomes then the glue of explanation and laws the primary explainers. Thus, the scientific study of a system would consist in the development of a logically sound model of it, once the relevant observables (state variables) are identified and the general laws governing their change (expressed as differential equations, state transition rules, maximization/minimization principles,. . . ) (...) are well determined, together with the initial or boundary conditions for each particular case. Often this also involves making a set of assumptions about the elementary components of the system (e.g., their structural and dynamic properties) and modes of local interaction. In this framework, predictability becomes the main goal and that is why research is carried out through the construction of accurate mathematical models. Thus, physics and chemistry have made most progress so far by focusing on systems that, either due to their intrinsic properties or to the conditions in which they are investigated, allow for very strong simplifying assumptions, under which, nevertheless, those highly idealized models of reality are deemed to be in good correspondence with reality itself. Despite the enormous success that this methodology has had, the study of living and cognitive phenomena had to follow a very different road, because these phenomena are produced by systems whose underlying material structure and organization do not permit such crude approximations. Seen from the perspective of physics or chemistry, biological and cognitive systems are made of an enormous number of parts or elements interacting in non-linear and selective ways, which makes very difficult their tractability through mathematical models. In addition, many of those interacting elements are hierarchically organized, in a way that the “macroscopic” (observable) parts behave according to rules that cannot be, in practice, derived from simple principles at the level of their “microscopic” dynamics.. (shrink)

The present essay aims at integrating different concepts of meaning developed in semiotics, biology, and cognitive science, in a way that permits the formulation of issues involving evolution and development. The concept of sign in semiotics, just like the notion of representation in cognitive science, have either been used too broadly, or outright rejected. My earlier work on the notions of iconicity and pictoriality has forced me to spell out the taken-forgranted meaning of the sign concept, both in (...) the Saussurean and the Peircean tradition. My work with the evolution and development of semiotic resources such as language, gesture, and pictures has proved the need of having recourse to a more specified concept of sign. To define the sign, I take as point of departure the notion of semiotic function (by Piaget), and the notion of appresentation (by Husserl). In the first part of this essay, I compare cognitive science and semiotics, in particular as far as the parallel concepts of representation and sign are concerned. The second part is concerned with what is probably the most important attempt to integrate cognitive science and semiotics that has been presented so far, The Symbolic Species, by Terrence Deacon. I criticize Deacon’s use of notions such as iconicity, indexicality, and symbolicity. I choose to separate the sign concept from the notions of iconicity, indexicality, and symbolicity, which only in combination with the sign give rise to icons, indices, and symbols, but which, beyond that, have other, more elemental, uses in the world of perception. In the third part, I discuss some ideas about meaning in biosemiotics, which I show not to involve signs in the sense characterised earlier in the essay. Instead, they use meaning in the general sense of selection and organisation, which is a more elementary sense of meaning. Although I admit that there is a possible interpretation of Peirce, which could be taken to correspond to Uexküll’s idea of functional circle, and to meaning as function described by Emmeche and Hoffmeyer, I claim thatthis is a different sense of meaning than the one embodied in the sign concept. Finally, I suggest that more thresholds of meaning than proposed, for instanceby Kull, are necessary to accommodate the differences between meaning (in the broad sense) and sign (as specified in the Piaget–Husserl tradition). (shrink)

The aim of this article is to investigate the relevance and implications of synthetic models for the study of the interactive dimension of minimal life and cognition, by taking into consideration how the use of artificial systems may contribute to an understanding of the way in which interactions may affect or even contribute to shape biological identities. To do so, this article analyzes experimental work in synthetic biology on different types of interactions between artificial and natural systems, more specifically: (...) between protocells and between biological living cells and protocells. It discusses how concepts such as control, cognition, communication can be used to characterize these interactions from a theoretical point of view, which criteria of relevance and evaluation of synthetic models can be applied to these cases, and what are their limits. (shrink)

This essay in the "anthropology of science" is about how cognition constrains culture in producing science. The example is folk biology, whose cultural recurrence issues from the very same domain-specific cognitive universals that provide the historical backbone of systematic biology. Humans everywhere think about plants and animals in highly structured ways. People have similar folk-biological taxonomies composed of essence-based species-like groups and the ranking of species into lower- and higher-order groups. Such taxonomies are not as arbitrary in structure (...) and content, nor as variable across cultures, as the assembly of entities into cosmologies, materials or social groups. (shrink)

_Abstract_: We argue that theoretical debates in biology and cognitive science often are based around differences in the posited _locus of control _for biological and cognitive phenomena. Internalists about locus of control posit that specific causal control over the phenomenon is exerted by factors internal (to the relevant subsystem) of an organism. Externalists posit that causally specific influence is due to external factors. In theoretical biology, we suggest, a minimal agreement has developed that the locus of control (...) for heritable variation is _distributed _– that is, both internal and external factors exert specific, non-redundant causal influence on evolved traits. We suggest that debates in cognitive science, particularly surrounding “enactivism”, should also embrace a distributed locus of control. We show how both internal and external factors contribute non-redundantly to psychological capacities and behavior. We further suggest that embracing a distributed locus of control provides a basis for a revisionary, but substantive account of “mental representation”. _Keywords_: Locus of control; Internalism/Externalism; Evolutionary Biology; Cognitive Science; Mental Representation _ Loci di controllo distribuiti: superare le vecchie dicotomie nella biologia e nella scienza cognitiva _ _Riassunto_: Numerose discussioni in biologia e nella scienza cognitiva vertono spesso su differenze nella individuazione del _locus di controllo_ dei fenomeni biologici e cognitivi. Posizioni internaliste rispetto al _locus di controllo_ ritengono che il controllo causale specifico su un fenomeno biologico o cognitivo venga esercitato da fattori interni a (un sottosistema rilevante) di un organismo. Al contrario, posizioni esternaliste assumono che specifiche influenze causali siano dovute a fattori esterni. In questo articolo mostriamo che nell’ambito della biologia teorica si è giunti a un minimo accordo rispetto al fatto che il _locus di controllo_ per l’emergere di variazioni ereditarie è _distribuito _– ossia dovuto sia a fattori interni che esterni all’organismo che esercitano influenze specifiche e non-ridondanti sui tratti che si sono evoluti. Riteniamo che tale accordo debba essere raggiunto anche nell’ambito della scienza cognitiva, in particolare per quel che concerne l’_enattivismo_. In questo articolo mostriamo che sia i fattori interni che quelli esterni contribuiscono in maniera non-ridondante alle capacità psicologiche e al comportamento di un individuo. Inoltre sosterremo che l’adozione di un _locus di controllo _distribuito possa costituire un buon punto di partenza per una revisione sostanziale della nozione di “rappresentazione mentale”. _Parole chiave_: Locus di controllo causale; Internalismo/Esternalismo; Biologia evolutiva; Scienze cognitive; Rappresentazione mentale _ _. (shrink)

The basic philosophy of mainstream biology, the philosophy of materialist realism, assumes the existence of a material world independent of human observation and cognition. The scientific study of cognition in the context of biology has, however, led to the result, that all our thoughts and cognitions, including the assumption of a material world, are dependent on our cognitive apparatus in its present stage of evolution. I think this shows a contradiction within materialist philosophy, and I therefore find it is (...) impossible to make a contradiction free account of cognition based on this philosophy. An account of natural science, biological evolution, and cognition based on an idealist philosophy is offered, and it is argued, that this account is free of contradictions. In the idealist philosophy "material objects" are regarded as concepts based on sensory experiences. (shrink)

In previous work, I have looked in detail at the capacity and the limits of the linguistics model as applied to gene expression. The recent use of a primitive applied linguistic model in Apple's SIRI system allows further analysis. In particular, the failings of this system resemble those of the HGP; the model used also helps point out the shortcomings of the concept of the "gene". This is particularly urgent as we are entering an era of applied biology in the (...) absence of theory, and indeed an era with a near-epidemic of retracted papers. There are a few workarounds proposed. One is to add to the nascent field of biosemiotics a more explicit concern with syntax. At the time of writing, Apple is being sued for false advertising of its iphone 4s, with the associated claim that apple had solved many of the problems of natural language processing by computer . The system was bought by Apple from a company called SIRI, and in turn was based on the notion, trumpeted by the prior art in a company called Dejima, that nlpbc could be done by keywords alone. Yet the hype resembles nothing so much as the misrepresentation of the Human Genome Project fed to the media in the glory days at the beginning of this millennium, and it says a lot for the status of scientists in society that they have avoided Apple's fate. In this paper, a short review of several current themes in theoretical and applied biology is first proposed. Then the tensions implicit in the notion that the "gene" is simultaneously to be identified as a unit of inheritance and spatially located over spatially well-defined nucleotides is explored and the notion is found to be incoherent. An expanded notion of inheritance is proposed in the context of a focus on inheritance as necessarily involving species, population and organism over time. While it is premature to talk about a paradigm shift, it is certainly arguable that biology urgently needs a sophisticated theory of how symbols work substantially more sophisticated than that implicit in the HGP; Biosemiotics affords a framework in which this might be tried. Indeed, as this paper concludes, there may yet be room for a "Bionoetics", a perspective in which biological explanation can be extended to include cognition in all its forms. Finally, a working sketch of a modeling environment written in LISP, one that shows promise in reflecting the complexities discussed in the paper, is included. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}. (shrink)

For most philosophers of psychology and cognitive science, inquiry into human cognitive activity begins at the level of intrapersonal processes. A central question is whether these processes are sufficiently autonomous from more basic neurophysiological processes to be investigated in their own terms, or whether all explanations must be in neurophysiological terms. Some philosophers have insisted on the relative autonomy of the cognitive level. One currently quite popular view, eliminative materialism, however, holds that the explanations that have been (...) advanced at the intrapersonal cognitive level are misguided, and must be replaced by accounts developed from an understanding of the underlying neurophysiological processes. (shrink)

We discuss foundational issues of quantum information biology —one of the most successful applications of the quantum formalism outside of physics. QIB provides a multi-scale model of information processing in bio-systems: from proteins and cells to cognitive and social systems. This theory has to be sharply distinguished from “traditional quantum biophysics”. The latter is about quantum bio-physical processes, e.g., in cells or brains. QIB models the dynamics of information states of bio-systems. We argue that the information interpretation of quantum (...) mechanics is the most natural interpretation of QIB. Biologically QIB is based on two principles: adaptivity; openness. These principles are mathematically represented in the framework of a novel formalism— quantum adaptive dynamics which, in particular, contains the standard theory of open quantum systems. (shrink)

Biologists are not used to the term „substance". They prefer to say „a living being", „an organism", a „specimen of species Homo sapiens'' - for instance. Chemists, on the other hand, when they say „this is a new substance" they usually mean the same Aristotle would mean - I think. The chemical meaning of the term „substance" is closest to the one I am going to discuss in this paper. To know a substance, one has to accumulate and store a (...) multitude of different forms of evidence concerning this „natural behavior". So that concept of the „nature" of a given chemical substance is necessarily very complex and it cannot result from a single sensation, or a momentary observation. (shrink)

Biologists are not used to the term „substance". They prefer to say „a living being", „an organism", a „specimen of species Homo sapiens'' - for instance. Chemists, on the other hand, when they say „this is a new substance" they usually mean the same Aristotle would mean - I think. The chemical meaning of the term „substance" is closest to the one I am going to discuss in this paper. To know a substance, one has to accumulate and store a (...) multitude of different forms of evidence concerning this „natural behavior". So that concept of the „nature" of a given chemical substance is necessarily very complex and it cannot result from a single sensation, or a momentary observation. (shrink)

Most biologists and some cognitive scientists have independently reached the conclusion that there is no such thing as learning in the traditional “instructive‘ sense. This is, admittedly, a somewhat extreme thesis, but I defend it herein the light of data and theories jointly extracted from biology, especially from evolutionary theory and immunology, and from modern generative grammar. I also point out that the general demise of learning is uncontroversial in the biological sciences, while a similar consensus has not (...) yet been reached in psychology and in linguistics at large. Since many arguments presently offered in defense of learning and in defense of “general intelligence‘ are often based on a distorted picture of human biological evolution, I devote some sections of this paper to a critique of “adaptationism,‘ providing also a sketch of a better evolutionary theory. Moreover, since certain standard arguments presented today as “knock-down‘ in psychology, in linguistics and in artificial intelligence are a perfect replica of those once voiced by biologists in favor of instruction and against selection, I capitalize on these errors of the past to draw some lessons for the present and for the future. (shrink)

The heart of this book is the reciprocal relationship between philosophical theories of mind and empirical studies of animal cognition.

Alan Turing draws a firm line between the mental and the physical, between the cognitive and physical sciences. For Turing, following a tradition that went back to D=Arcy Thompson, if not Geoffroy and Lucretius, throws talk of function, intentionality, and final causes from biology as a physical science. He likens Amother nature@ to the earnest A. I. scientist, who may send to school disparate versions of the Achild machine,@ eventually hoping for a test-passer but knowing that the vagaries of (...) his experimental course are history and accident. (shrink)

The concept of locally specialized functions dominates research on higher brain function and its disorders. Locally specialized functions must be complemented by processes that coordinate those functions, however, and impairment of coordinating processes may be central to some psychotic conditions. Evidence for processes that coordinate activity is provided by neurobiological and psychological studies of contextual disambiguation and dynamic grouping. Mechanisms by which this important class of cognitive functions could be achieved include those long-range connections within and between cortical regions (...) that activate synaptic channels via NMDA-receptors, and which control gain through their voltage-dependent mode of operation. An impairment of these mechanisms is central to PCP-psychosis, and the cognitive capabilities that they could provide are impaired in some forms of schizophrenia. We conclude that impaired cognitive coordination due to reduced ion flow through NMDA-channels is involved in schizophrenia, and we suggest that it may also be involved in other disorders. This perspective suggests several ways in which further research could enhance our understanding of cognitive coordination, its neural basis, and its relevance to psychopathology. Key Words: attention; cerebral cortex; cognitive coordination; cognitive neuropsychiatry; cognitive neuropsychology; context disorganization; Gamma rhythms; Gestalt theory; glutamate; grouping; memory; NMDA-receptors; PCP-psychosis; perceptual organization; schizophrenia. (shrink)

The male advantage in certain mathematical domains contributes to the difference in the numbers of males and females that enter math-intensive occupations, which in turn contributes to the sex difference in earnings. Understanding the nature and development of the sex difference in mathematical abilities is accordingly of social as well as scientific concern. A more complete understanding of the biological contributions to these differences can guide research on educational techniques that might someday produce more equal educational outcomes in mathematics (...) and other academic domains. (shrink)

Context: A central motivation behind various embodied, extended, and enactive (4E) approaches to cognition is to ground our understanding of minds and cognition within the biological structures that give rise to life. Because of this, their advocates often claim a natural kinship with dynamical and developmental systems theories. However, these accounts also explicitly or implicitly privilege individual organisms in ways that contrast with many of the insights of systems and developmental systems approaches to biology. Problem: The prioritization of individual (...) organisms within 4E approaches to cognition contrasts with the default entangled structure of biological systems associated with cognitive agency. We provide means for 4E cognitive science to move beyond an individual-centred view of cognitive agency. Method: We first identify and problematize individual-centredness within various predominant 4E approaches by comparison with biological research and developmental systems theory. Subsequently, we offer conceptual resources from the field of ecological research for understanding cognitive agency beyond the predominant focus on individual organisms. Results: Cognitive agency may be understood without privileging individual organisms by reading nonequilibrium maintenance in terms of a dynamic differentiation instead of individual organismic autonomy. This form of organizational structure corresponds to the notion of sympoiesis from ecological research. Implications: Approaching cognitive agency without privileging individual organisms should be invaluable to advocates of 4E cognition seeking to ground notions of cognition and mind within contemporary biological research. Constructivist content: We seek to expand upon existing constructivist perspectives on the organizing principles of cognitive agency, such as sensorimotor embodiment and autopoiesis, arguing that meta-organismic cognitive agents (including humans) embody distributed relations beyond the privileging of individual organisms. Key words: 4E cognition, autopoiesis, cognitive agency, developmental systems theory, enactivism, extended mind thesis, holobionts, sympoeisis. (shrink)

This chapter summarises the autors' work in embodied robotics, emphasising the need for scientific tools to measure chaos and sensitivity to intial conditions, the role of novelty and development, and the relevance of human behaviour in natural environments.

This paper analyses conceptual and experimental work in synthetic biology on different types of interactions considered as minimal examples or models of communication. It discusses their pertinence and relevance for the wider understanding of this biological and cognitive phenomenon. It critically analyses their limits and it argues that a conceptual framework is needed. As a possible solution, it provides a theoretical account of communication based on the notion of organisation, and characterised in terms of the functional influence exerted (...) by the sender upon the receiver. It shows that this account can be operationalised in synthetic biology, and that it can supply criteria and guidelines for the design and evaluation of synthetic models. (shrink)

The discrepancy between syntax and semantics is a painstaking issue that hinders a better comprehension of the underlying neuronal processes in the human brain. In order to tackle the issue, we at first describe a striking correlation between Wittgenstein's Tractatus, that assesses the syntactic relationships between language and world, and Perlovsky's joint language-cognitive computational model, that assesses the semantic relationships between emotions and “knowledge instinct”. Once established a correlation between a purely logical approach to the language and computable psychological (...) activities, we aim to find the neural correlates of syntax and semantics in the human brain. Starting from topological arguments, we suggest that the semantic properties of a proposition are processed in higher brain's functional dimensions than the syntactic ones. In a fully reversible process, the syntactic elements embedded in Broca's area project into multiple scattered semantic cortical zones. The presence of higher functional dimensions gives rise to the increase in informational content that takes place in semantic expressions. Therefore, diverse features of human language and cognitive world can be assessed in terms of both the logic armor described by the Tractatus, and the neurocomputational techniques at hand. One of our motivations is to build a neuro-computational framework able to provide a feasible explanation for brain's semantic processing, in preparation for novel computers with nodes built into higher dimensions. (shrink)

Evolutionary epistemology has experienced a continuous rise over the last decades. Important new theoretical considerations and novel empirical findings have been integrated into the existing framework. In this paper, I would like to suggest three lines of research that I believe will significantly contribute to further advance EE: ontogenetic considerations, key ideas from cognitive biology, and the framework of the Extended Evolutionary Synthesis. EE, in particular the program of the evolution of epistemological mechanisms, seeks to provide a phylogenetic account (...) of the generation of cognitive processes underlying knowledge creation. Traditionally, EE and EEM have been oriented towards an account of evolutionary theory that mainly drew from the tenets of the Modern Synthesis. The Modern Synthesis largely dismisses ontogenetic processes and considers them irrelevant for evolutionary explanations. If anything, the role of development in evolution is believed to be that of a constraint. There is, however, ample evidence for a tight intertwinement of developmental and evolutionary processes. Organisms employ their cognitive apparatus to interact with the environment in order to achieve a fully functioning perceptual and cognitive nervous system. Also, ontogeny provides generative potentials to enable variations that natural selection can act upon. EEM’s agenda may, therefore, strongly benefit from bringing together ontogenetic and phylogenetic approaches. To grapple with this challenge, an alternative vision of the evolutionary theory termed Extended Evolutionary Synthesis could be used. This extended evolutionary theory explores relationships between the processes of individual development and phenotypic change during evolution and can provide a more suitable framework for EEM to draw from. In recent years, cognitive biology has gained momentum as an independent research field. Cognitive biology builds on the concepts of EEM and understands knowledge as a biogenic phenomenon. Its main objective is also the formulation of substantiated interrelations between cognition and evolution but it focuses on cognitive functionality at all levels of biological organization. It thus employs a “vertical” approach that encompasses nested hierarchies which span from single molecules, cells, and tissues to the organismal level, communities, and societies. In contrast to cognitive biology, EEM is here understood to adopt a “horizontal” approach that focuses on phylogenetic explanations of cognition and knowledge acquisition. Linking EEM with the key ideas of cognitive biology could make EEM’s research program stronger as it can more easily accommodate phylogenetic and ontogenetic questions within a hierarchical, multilevel perspective. This is of particular importance for a more comprehensive account of cognition since living systems are subject to context-dependent causal influences from different organizational levels. In addition to EEM, there is a second program of EE. This program has been labeled evolutionary epistemology of theories and understands the increase in human knowledge, such as scientific theories, as naturalistic accounts of evolution. Both, EEM and EET initially drew from the core concepts of the Modern Synthesis. Several scholars have severely criticized the analogies made between EET and the Neo-Darwinian key processes of evolution. In particular processes of random mutation, the rate of variation, natural selection as the unique driving force, and the adaptationist agenda are believed to reveal disanalogies. In contrast to the Modern Synthesis, the Extended Evolutionary Synthesis not only recognizes developmental processes but also ecological interactions and systems dynamics as well as social and cultural evolutionary reciprocity as important evolutionary processes. Concepts of the Extended Evolutionary Synthesis are therefore expected to be more fruitful for re-conceptualizing parallels between scientific theorizing and biological evolution. (shrink)

The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...) human functioning that can be addressed exclusively in terms of a formal symbolic or algorithmic vocabulary or level of analysis. Much of the paper elaborates various conditions that need to be met if a literal view of mental activity as computation is to serve as the basis for explanatory theories. The coherence of such a view depends on there being a principled distinction between functions whose explanation requires that we posit internal representations and those that we can appropriately describe as merely instantiating causal physical or biological laws. In this paper the distinction is empirically grounded in a methodological criterion called the " cognitive impenetrability condition." Functions are said to be cognitively impenetrable if they cannot be influenced by such purely cognitive factors as goals, beliefs, inferences, tacit knowledge, and so on. Such a criterion makes it possible to empirically separate the fixed capacities of mind from the particular representations and algorithms used on specific occasions. In order for computational theories to avoid being ad hoc, they must deal effectively with the "degrees of freedom" problem by constraining the extent to which they can be arbitrarily adjusted post hoc to fit some particular set of observations. This in turn requires that the fixed architectural function and the algorithms be independently validated. It is argued that the architectural assumptions implicit in many contemporary models run afoul of the cognitive impenetrability condition, since the required fixed functions are demonstrably sensitive to tacit knowledge and goals. The paper concludes with some tactical suggestions for the development of computational cognitive theories. (shrink)

According to the current scientific paradigm, what we call ‘life’, ‘mind’, and ‘consciousness’ are considered epiphenomenal occurrences, or emergent properties or functions of matter and energy. Science does not associate these with an inherent and distinct existence beyond a materialistic/energetic conception. ‘Life’ is a word pointing at cellular and multicellular processes forming organisms capable of specific functions and skills. ‘Mind’ is a cognitive ability emerging from a matrix of complex interactions of neuronal processes, while ‘consciousness’ is an even more (...) elusive concept, deemed a subjective epiphenomenon of brain activity. Historically, however, this has not always been the case, even in the scientific and academic context. Several prominent figures took vitalism seriously, while some schools of Western philosophical idealism and Eastern traditions promoted conceptions in which reality is reducible to mind or consciousness rather than matter. We will argue that current biological sciences did not falsify these alternative paradigms and that some forms of vitalism could be linked to some forms of idealism if we posit life and cognition as two distinct aspects of consciousness preeminent over matter. However, we will not argue in favor of vitalistic and idealistic conceptions. Rather, contrary to a physicalist doctrine, these were and remain coherent worldviews and cannot be ruled out by modern science. (shrink)

The viability of enactivist philosophy in providing descriptions of biological phenomena across the phylogenetic spectrum relies in large part on the scalability of its central concepts, i.e. whether they remain operative at varying levels of biological complexity. In this paper, I will examine the possibility of scaling two deeply intertwined concepts: cognition and surrounding world. Contra some indications from Varela and others, I will argue that the concept of embodied cognition can be scaled down below the level of (...) the organism. I will draw upon the “cognitive biology” espoused by Kováč and Monod’s studies of protein behaviour to make this case. The downscaling of embodied cognition below the level of the organism has ramifications for how we understand the concept of surrounding world. Reconfiguring the relation between these two central bioenactive concepts has further consequences for what ontological commitments bioenactive thinking leads to, and what paths of investigation it points us toward. (shrink)

This important book brings findings and theories in biology and psychology to bear on the fundamental question in ethics of what it means to behave morally. It explains how we acquire and put to work our capacities to act morally and how these capacities are reliable means to achieving true moral beliefs, proper moral motivations, and successful moral actions. By presenting a complete model of moral agency based on contemporary evolutionary theory, developmental biology and psychology, and social cognitive theory, (...) the book offers a unique perspective. It will be read with profit by a broad swathe of philosophers, as well as psychologists and biologists. (shrink)

This paper discuss the phenomenon of empathy in social robotics and is divided into three main parts. Initially, I analyse whether it is correct to use this concept to study and describe people’s reactions to robots. I present arguments in favour of the position that people actually do empathise with robots. I also consider what circumstances shape human empathy with these entities. I propose that two basic classes of such factors be distinguished: biological and socio-cognitive. In my opinion, (...) one of the most important among them is a sense of group membership with robots, as it modulates the empathic responses to representatives of our- and other- groups. The sense of group membership with robots may be co-shaped by socio-cognitive factors such as one’s experience, familiarity with the robot and its history, motivation, accepted ontology, stereotypes or language. Finally, I argue in favour of the formulation of a pragmatic and normative framework for manipulations in the level of empathy in human–robot interactions. (shrink)

I develop an account of the role that biology plays in the Timaeus’ view of nous and other aspects of cognitive life. I begin by outlining the biology of human cognition. I then argue that these biological views shine an important light on different aspects of the soul. I then argue that the human body is particularly friendly to nous, paying special attention to the heart and the liver. I next consider the ways that the body fails to (...) protect our nous. I conclude by comparing human nous with the cognition of non-humans. (shrink)

Biological and Cultural Bases of Human Inference addresses the interface between social science and cognitive science. In this volume, Viale and colleagues explore which human social cognitive powers evolve naturally and which are influenced by culture. Updating the debate between innatism and culturalism regarding human cognitive abilities, this book represents a much-needed articulation of these diverse bases of cognition. Chapters throughout the book provide social science and philosophical reflections, in addition to the perspective of evolutionary theory (...) and the central assumptions of cognitive science. The overall approach of the text is based on three complementary levels: adult performance, cognitive development, and cultural history and prehistory. Scholars from several disciplines contribute to this volume, including researchers in cognitive, developmental, social and evolutionary psychology, neuropsychology, cognitive anthropology, epistemology, and philosophy of mind. This contemporary, important collection appeals to researchers in the fields of cognitive, social, developmental, and evolutionary psychology and will prove valuable to researchers in the decision sciences. (shrink)