The use of computational models for understanding human face perception and recognition has a long and intriguing history that runs parallel to efforts in the engineering literature to develop algorithms for computer-based face recognition systems. This article considers the insights gained from combining computational and cognitive approaches to the study of human face recognition and discusses the ways in which computational models have informed studies of human face processing and vice versa. It explains the concept of a face space, (...) in its abstract psychological, and physical/computational forms. The study shows how adaptation as a method is beginning to reveal properties of neural representations in a way that connects with the cognitive/perceptual approach. Finally, it discusses recent progress in state-of-the-art computational models of face recognition, which offers a new perspective on the cognitive-computational dialog. (shrink)

The faces of both adults and children can be classified accurately by sex, even in the absence of sex‐stereotyped social cues such as hair and clothing (Wild et al., 2000). Although much is known from psychological and computational studies about the information that supports sex classification for adults' faces, children's faces have been much less studied. The purpose of the present study was to quantify and compare the information available in adults' versus children's faces for sex classification and to test (...) alternative theories of how human observers distinguish male and female faces for these different age groups. We implemented four computational/neural network models of this task that differed in terms of the age categories from which the sex classification features were derived. Two of the four strategies replicated the advantage for classifying adults' faces found in previous work. To determine which of these strategies was a better model of human performance, we compared the performance of the two models with that of human subjects at the level of individual faces. The results suggest that humans judge the sex of adults' and children's faces using feature sets derived from the appropriate face age category, rather than applying features derived from another age category or from a combination of age categories. (shrink)

The faces of both adults and children can be classified accurately by sex, even in the absence of sex‐stereotyped social cues such as hair and clothing (Wild et al., 2000). Although much is known from psychological and computational studies about the information that supports sex classification for adults' faces, children's faces have been much less studied. The purpose of the present study was to quantify and compare the information available in adults' versus children's faces for sex classification and to test (...) alternative theories of how human observers distinguish male and female faces for these different age groups. We implemented four computational/neural network models of this task that differed in terms of the age categories from which the sex classification features were derived. Two of the four strategies replicated the advantage for classifying adults' faces found in previous work. To determine which of these strategies was a better model of human performance, we compared the performance of the two models with that of human subjects at the level of individual faces. The results suggest that humans judge the sex of adults' and children's faces using feature sets derived from the appropriate face age category, rather than applying features derived from another age category or from a combination of age categories. (shrink)

People recognize faces of their own race more accurately than faces of other races. The “contact” hypothesis suggests that this “other‐race effect” occurs as a result of the greater experience we have with own‐ versus other‐race faces. The computational mechanisms that may underlie different versions of the contact hypothesis were explored in this study. We replicated the other‐race effect with human participants and evaluated four classes of computational face recognition algorithms for the presence of an other‐race effect. Consistent with the (...) predictions of a developmental contact hypothesis, “experience‐based models” demonstrated an other‐race effect only when the representational system was developed through experience that warped the perceptual space in a way that was sensitive to the overall structure of the model's experience with faces of different races. When the model's representation relied on a feature set optimized to encode the information in the learned faces, experience‐based algorithms recognized minority‐race faces more accurately than majority‐race faces. The results suggest a developmental learning process that warps the perceptual space to enhance the encoding of distinctions relevant for own‐race faces. This feature space limits the quality of face representations for other‐race faces. (shrink)

Faces provide information about a person's identity, as well as their sex, age, and ethnicity. People also infer social and personality traits from the face — judgments that can have important societal and personal consequences. In recent years, deep convolutional neural networks (DCNNs) have proven adept at representing the identity of a face from images that vary widely in viewpoint, illumination, expression, and appearance. These algorithms are modeled on the primate visual cortex and consist of multiple processing layers of simulated (...) neurons. Here, we examined whether a DCNN trained for face identification also retains a representation of the information in faces that supports social‐trait inferences. Participants rated male and female faces on a diverse set of 18 personality traits. Linear classifiers were trained with cross validation to predict human‐assigned trait ratings from the 512 dimensional representations of faces that emerged at the top‐layer of a DCNN trained for face identification. The network was trained with 494,414 images of 10,575 identities and consisted of seven layers and 19.8 million parameters. The top‐level DCNN features produced by the network predicted the human‐assigned social trait profiles with good accuracy. Human‐assigned ratings for the individual traits were also predicted accurately. We conclude that the face representations that emerge from DCNNs retain facial information that goes beyond the strict limits of their training. (shrink)

The standard view of classical cognitive science stated that cognition consists in the manipulation of language-like structures according to formal rules. Since cognition is ‘linguistic’ in itself, according to this view language is just a complex communication system and does not influence cognitive processes in any substantial way. This view has been criticized from several perspectives and a new framework (Embodied Cognition) has emerged that considers cognitive processes as non-symbolic and heavily dependent on the dynamical interactions between (...) the cognitive system and its environment. But notwithstanding the successes of the embodied cognitive science in explaining low-level cognitive behaviors, it is still not clear whether and how it can scale up for explaining high-level cognition. In this paper we argue that this can be done by considering the role of language as a cognitive tool: i.e. how language transforms basic cognitive functions in the high-level functions that are characteristic of human cognition. In order to do that, we review some computational models that substantiate this view with respect to categorization and memory. Since these models are based on a very rudimentary form of non-syntactic ‘language’ we argue that the use of language as a cognitive tool might have been an early discovery in hominid evolution, and might have played a substantial role in the evolution of language itself. (shrink)

The classical Indian variety of history may be called ‘istory’. It is not completely true that no real importance was attached to istory in classical India. But much of oral istorical literature is lost since—perhaps—narrating istory was considered a performance. Unlike historical narratives, istorical narratives are presentative, not representative. Istory can be understood as a system of narrating past events that has a purpose and poetic beauty. Finally, the paper will argue that istory is based on cognitive tools of (...) two types: epistemic tools such as testimony, inference, tarka and aesthetic tools. Thus, it has a hybrid cognitive method. (shrink)

Explication is the conceptual cornerstone of Carnap’s approach to the methodology of scientific analysis. From a philosophical point of view, it gives rise to a number of questions that need to be addressed, but which do not seem to have been fully addressed by Carnap himself. This paper reconsiders Carnapian explication by comparing it to a different approach: the ‘formalisms as cognitive tools’ conception. The comparison allows us to discuss a number of aspects of the Carnapian methodology, as well (...) as issues pertaining to formalization in general. We start by introducing Carnap’s conception of explication, arguing that there is a tension between his proposed criteria of fruitfulness and similarity; we also argue that his further desideratum of exactness is less crucial than might appear at first. We then bring in the general idea of formalisms as cognitive tools, mainly by discussing the reliability of so-called statistical prediction rules, i.e. simple algorithms used to make predictions across a range of areas. SPRs allow for a concrete instantiation of Carnap’s fruitfulness desideratum, which is arguably the most important desideratum for him. Finally, we elaborate on what we call the ‘paradox of adequate formalization’, which for the Carnapian corresponds to the tension between similarity and fruitfulness. We conclude by noting that formalization is an inherently paradoxical enterprise in general, but one worth engaging in given the ‘cognitive boost’ it affords as a tool for discovery. (shrink)

In this paper I explore systematically the relationship between Brain-Computer Interfaces (BCIs) and their human users from a phenomenological and cognitive perspective. First, I functionally decompose BCI systems and develop a typology in which I categorize BCI applications with similar functional properties into three categories, those with (1) motor, (2) virtual, and (3) linguistic applications. Second, developing and building on the notions of an embodied tool and cognitive tool, I analyze whether these distinct BCI applications can (...) be seen as bodily or cognitive extensions. Contrary to some recent philosophical claims, I will argue that, although BCI technology may have the potential to become bodily and cognitive extensions for skilled users, at this stage they are not. And while the electrodes may to a variable degree be transparent and incorporated in the body schema, the BCI system as a whole is not. Moreover, BCIs do not have a functional role characteristic for cognition and are therefore not cognitive extensions. Third, based on concepts from the distributed cognition framework, I give a number of suggestions to improve the interface design of linguistic applications, i.e. BCIs that allow its user to spell words by selecting letters on a screen. These suggestions may result in cognitive extension and would enhance the autonomy and quality of life of its users. In sum, in this paper I develop a typology, analysis and critique on the current philosophical debate on BCIs, thereby providing a richer conceptual understanding of BCI systems which allows me to offer some suggestions for improving the interface design of linguistic applications. (shrink)

We propose that Bloom's focus on cognitive factors involved in word learning still lacks a broader perspective. We emphasize the crucial relevance of working memory in learning elements of language. Specifically, we demonstrate through our data that in impaired populations knowledge of some linguistic elements can be dissociated according to the subcomponent of working memory (visual or verbal) involved in a task. Further, although Bloom's concentration on theory of mind as a precondition for word learning is certainly correct, theory (...) of mind being a necessary condition does not make it a sufficient one. On the basis of our studies we point out the importance of a theory of mind related goal preference in acquiring spatial language. In general, we claim that more specific cognitive preferences and constraints should be outlined in detail for the preconditions of acquiring linguistic elements. (shrink)

This article presents silence as a cognitive tool to comprehend the environment. Two dimensions of silence are addressed: a natural mechanism and human beings' social and cultural construction. There is a link between these two dimensions because, on the one hand, agents' cognitive strategies based on silence influence how meanings and uses of silence have been constructed. The meanings of silence we use are contextual shapers of silence-based cognitive strategies. Silence is analyzed as a resource for (...) coping with ambiguity: situations perceived as uncertain provoke doubt and confusion because they can be understood differently or suggest different interpretations. These situations can occur in the face of epistemic disruption. The consequence is a transfer of the ambiguity property of these situations to the usual ways of relating to the world and people. The cognitive approach is based here on a semiotic-hermeneutic interpretation of silence from a phenomenological perspective. This accounts for a paradox: even if silence does not exist (the world is acoustic), it is real. The silence experience is a non-inferential cognitive capacity located at the base of perception: a stimulus that suggests a particular gesture as an action different from the usual one to deal with the environment. (shrink)

Ancient Greek mathematics developed the original feature of being deductive mathematics. This article attempts to give a explanation f or this achievement. The focus is on the use of a fixed system of linguistic formulae in Greek mathematical texts. It is shown that the structure of this system was especially adapted for the easy computation of operations of substitution on such formulae, that is, of replacing one element in a fixed formula by another, and it is further argued that such (...) operations of substitution were the main logical tool required by Greek mathematical deduction. The conclusion explains why, assuming the validity of the description above, this historical level is the best explanatory level for the phenomenon of Greek mathematical deduction. (shrink)

Interruptions are often inevitable and occur many times in daily life (Ratwani & Trafton, 2010). Interruptions at work can disrupt progress on tasks and result in costly mistakes (Brumby, Cox, Back...

Cognitive Robotics can be defined as the study of cognitive phenomena by their modeling in physical artifacts such as robots. This is a very lively and fascinating field which has already given fundamental contributions to our understanding of natural cognition. Nonetheless, robotics has to date addressed mainly very basic, low­level cognitive phenomena like sensory­motor coordination, perception, and navigation, and it is not clear how the current approach might scale up to explain high­level human cognition. In this paper (...) we argue that a promising way to do that is to merge current ideas and methods of 'embodied cognition' with the Russian tradition of theoretical psychology which views language not only as a communication system but also as a cognitive tool, that is by developing a Vygotskyan Cognitive Robotics. We substantiate this idea by discussing several domains in which language can improve basic cognitive abilities and permit the development of high­level cognition: learning, categorization, abstraction, memory, voluntary control, and mental life. (shrink)

I defend an alternative to the two traditional accounts of the relationship between metacognition and social cognition: metacognition as primary versus social cognition as primary. These accounts have complementary explanatory vices and virtues. They also share a natural assumption: that interpretation in terms of mental states is “spectatorial”, aiming exclusively for an objective description of the mental facts about self and others. I argue that if one rejects this assumption in favor of the view that interpretation in terms of mental (...) states also plays important regulative roles with respect to minds and behavior, a new and superior conception of the relationship between metacognition and social cognition comes into view. On this conception, person-level metacognitive concepts are socio-cognitive tools that shape us into better cognitive agents and more predictable cognitive objects, thereby enhancing our abilities at social coordination. Mastery of these metacognitive concepts relies on subpersonal, non-conceptual, procedural metacognition. This reconceptualization of the relationship between metacognition and social cognition combines the complementary explanatory virtues of the two traditional conceptions, while avoiding their complementary explanatory vices. (shrink)

What cognitive abilities underpin the use of tools, and how are tools and their properties represented or understood by tool-users? Does the study of tool use provide us with a unique or distinctive source of information about the causal cognition of tool-users? -/- Tool use is a topic of major interest to all those interested in animal cognition, because it implies that the animal has knowledge of the relationship between objects and their effects. There are (...) countless examples of animals developing tools to achieve some goal-chimps sharpening sticks to use as spears, bonobos using sticks to fish for termites, and New Caledonian crows developing complex tools to extracts insects from logs. Studies of tool use have been used to examine an exceptionally wide range of aspects of cognition, such as planning, problem-solving and insight, naive physics, social relationship between action and perception. A key debate in recent research on animal cognition concerns the level of cognitive sophistication that is implied by animal tool use, and developmental psychologists have been addressing related questions regarding the processes through which children acquire the ability to use tools. In neuropsychology, patterns of impairments in tool use due to brain damage, and studies of neural changes associated with tool use, have also led to debates about the different types of cognitive abilities that might underpin tool use, and about how tool use may change the way space or the body is represented. -/- Tool Use and Causal Cognition provides a new interdisciplinary perspective on these issues with contributions from leading psychologists studying tool use and philosophers providing new analyses of the nature of causal understanding A ground-breaking volume which covers several disciplines, this volume will be of interest to psychologists, including animal researchers and developmental psychologists as well as philosophers, and neuroscientists. (shrink)

This article has two goals. First, it synthesizes and critically assesses current scientific knowledge about the cognitive bases of human tool use. Second, it shows how the cognitive traits reviewed help to explain why technological accumulation evolved so markedly in humans, and so modestly in apes.

This chapter begins with a discussion of the significance of studies of aspects of tool use in understanding causal cognition. It argues that tool use studies reveal the most basic type or causal understanding being put to use, in a way that studies that focus on learning statistical relationships between cause and effect or studies of perceptual causation do not. An overview of the subsequent chapters is also presented.

Tool use rivals language as an important domain of cognitive phenomena, and so as a source of insight into the nature of cognition in general. But the favoured current definition of tool use is inadequate because it does not carve the phenomena of interest at the joints. Heidegger's notion of equipment provides a more adequate theoretical framework. But Heidegger's account leads directly to a non-individualist view of the nature of cognition. Thus non-individualism is supported by concrete considerations (...) about the nature of tools and tool use. (shrink)

During the last decade, the ontogeny of tool making has received growing attention in the literature on tool-related behaviors. However, the cognitive demands underlying tool making are still not clearly understood. In this cross-sectional study of 52 Turkish preschool children from 3 to 6 years of age, the roles of executive function (response inhibition), ability to form hierarchical representations (hierarchical structuring), and social learning were investigated with the hook task previously used with children and animals. In (...) this task, children needed to bend a pipe cleaner to fetch a small bucket with a sticker out of a tall jar. This study replicated earlier findings that preschoolers have great difficulty in tool innovation. However, social learning facilitates tool making, especially after 5 years of age. Capacities to form hierarchical representations and to inhibit prepotent responses were significant positive predictors of tool making after social learning. (shrink)

Using a model of cognition as extended and enactive, we examine the role of materiality in making minds as exemplified by lithics and writing, forms associated with conceptual thought and meta-awareness of conceptual domains. We address ways in which brain functions may change in response to interactions with material forms, the attributes of material forms that may cause such change, and the spans of time required for neurofunctional reorganization. We also offer three hypotheses for investigating co-influence and change in cognition (...) and material culture. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 785793. (shrink)

Osiurak and Reynaud's account of human tool cognition misses key element: human capacity for functional representations and teleological inferences. I argue that the teleofunctional approach accounts better for some features of human tool cognition and points to a viable candidate for the cognitive “difference-maker” behind human technological success.

External representations play a crucial role in learning. At the same time, cognitive load theory suggests that the possibility of learning depends on limited resources of the working memory and on cognitive load imposed by instructional design and representation tools. Both these observations motivate a critical look at Computer-Supported Argument Visualization tools that are supposed to facilitate learning. This paper uses cognitive load theory to compare the cognitive efficacy of RationaleTM 2 and AGORA.

This paper asks (a) how new scientific objects of research are onceptualized at a point in time when little is known about them, and (b) how those conceptualizations, in turn, figure in the process of investigating the phenomena in question. Contrasting my approach with existing notions of concepts and situating it in relation to existing discussions about the epistemology of experimentation, I propose to think of concepts as research tools. I elaborate on the conception of a tool that informs (...) my account. Narrowing my focus to phenomena in cognitive neuropsychology, I then illustrate my thesis with the example of the concept of implicit memory. This account is based on an original reconstruction of the nature and function of operationism in psychology. (shrink)

This article addresses the question of whether psychodrama can be viewed as an example of the extended mind thesis and can be applied in an educational context. The extended mind thesis (Clark & Chalmers, 1998) proposes that external artifacts can function as integral components of an individual's cognitive system, augmenting cognitive abilities. The article explores the notion that psychodrama, with its scenes, techniques, and social group dynamics, can be regarded as an extension of the mind. By examining this (...) relationship, the article aims to provide a wider understanding of the implications of the extended mind thesis in the field of education. Viewing psychodrama through the lens of the extended mind thesis emphasizes the role of the environment in shaping cognition, underscores the significance of external resources in the educational process, and highlights the potential of psychodrama as an educational approach. (shrink)

When thought overwhelms the mind, the mind puts it into the world, notably in diagrams and gestures.Both use space and arrays of elements, depictive and non-depictive, to convey ideas, concrete and abstract,clear and sketchy. The arrays and the non-depictive elements like boxes and arrows serve to showrelationships and organizations, thematic, categorical, and more. on paper, in the air, in the diagrammedworld. Human actions organize space to convey abstractions: spraction.

Vaesen disregards a plausible alternative to his position, and so fails to offer a compelling argument for unique cognitive mechanisms. We suggest an ecological alternative, according to which divergent relationships between organism and environment, not exotic neuroanatomy, are responsible for unique cognitive capacities. This approach is pertinent to claims about primate cognition; and on this basis, we argue that Vaesen's inference from unique skills to unique mechanisms is unwarranted.

The structuring of our environment to provide cues and reminders for ourselves is common: We leave notes on the fridge, we have a particular place for our keys where we deposit them, making them easy to find. We alter our world to streamline our cognitive tasks. But how did hominins gain this capacity? What pushed our ancestors to structure their physical environment in ways that buffered thinking and began the process of using the world cognitively? I argue that the (...) capacity to engage in these behaviours is a by-product of increased tool investment and tool curation, which in turn was necessary because of increasingly heterogeneous environments. The minute tools are carried and cared for, they begin to undergo selection for added functions, becoming available as cognitive primers and as signals. I explore the trajectory of this co-evolutionary feedback loop of hominins and their tools, and demonstrate the role tools have in shaping our thinking. (shrink)

Analysing several characteristic mathematical models: natural and real numbers, Euclidean geometry, group theory, and set theory, I argue that a mathematical model in its final form is a junction of a set of axioms and an internal partial interpretation of the corresponding language. It follows from the analysis that (i) mathematical objects do not exist in the external world: they are our internally imagined objects, some of which, at least approximately, we can realize or represent; (ii) mathematical truths are not (...) truths about the external world but specifications (formulations) of mathematical conceptions; (iii) mathematics is first and foremost our imagined tool by which, with certain assumptions about its applicability, we explore nature and synthesize our rational cognition of it. (shrink)

The ArgumentScientific tools—measurement and calculation instruments, techniques of inference—straddle the line between the context of discovery and the context of justification. In discovery, new scientific tools suggest new theoretical metaphors and concepts; and in justification, these tool-derived theoretical metaphors and concepts are morelikely to be accepted by the scientific community if the tools are already entrenched in scientific practice.Techniques of statistical inference and hypothesis testing entered American psychology first as tools in the 1940s and 1950s and then as (...) class='Hi'>cognitive theories in the 1960s and 1970s. Not only did psychologists resists statistical metaphors of mind prior to the institutionalization of inference techniques in their own practice; the cognitive theories they ultimately developed about “the mind as intuitive statistician” still bear the telltale marks of the practical laboratory context in which the tool was used. (shrink)

Tool making has been proposed as a key force in driving the complexity of human material culture. The ontogeny of tool‐related behaviors hinges on social, representational, and creative factors. In this study, we test the associations between these factors in development across two different cultures. Results of Study 1 with 5‐to‐6‐year‐old Turkish children in dyadic or individual settings show that tool making is facilitated by social interaction, hierarchical representation, and creative abilities. Results of a second explorative study (...) comparing the Turkish sample with a sample of 5‐to‐6‐year‐old children in New Zealand suggest that tool innovation might be affected by culture, and that the role of cognitive and creative factors diminishes through social interaction in tool making. (shrink)

Tools, Language and Cognition in Human Evolution. Edited by Kathleen R. Gibson and Tim Ingold. New York: Cambridge University Press, 1993. $69.95 (cloth). 483 pp.

As cognitive neuroscience has advanced, the list of prospective internal, biological enhancements has steadily expanded. Education and training, as well as the use of external information‐processing devices, may be labeled as “conventional” means of cognition enhancement (CE). They are often well established and culturally accepted. By contrast, methods of enhancing cognition through “unconventional” means, such as ones involving deliberately created nootropic drugs, gene therapy, or neural implants, are nearly all to be regarded as experimental at the present time. Transcranial (...) magnetic stimulation (TMS), genetic interventions, brain‐computer interfaces and new senses are highly experimental and unlikely to be important over the next 15 years. Many of the concerns about enhancement are nonspecific to the tools used to achieve it, which means that enhancement–ethic scrutiny should also apply to nonbiological external enhancements. (shrink)

In this paper, I question the notion that tool-use must be driven by an internal representation which specifies the “motor program” enacted in the behaviour of the tool-user. Rather, it makes more sense to define tool-use in terms of characteristics of the dynamics of this behaviour. As the behaviour needs to be adjusted to suit changes in context, so there is unlikely to be a one-to-one, linear mapping between an action and its effect. Thus, tool-use can (...) best be described using concepts from Nonlinear Dynamics. Such an approach can be used to create a sort of cybernetic model of tool-use. However, there is a danger that such a model can either lead us back to internal representations or could fail to capture cognitive aspects of behaviour. In particular, the question of how the craftworker’s intent can be enacted in the use of tools to produce a specific object seems to be lost in the cybernetic account. My solution is two-fold. First, the “model” is created on-the-fly and adapted through moment-by-moment interactions in the system of tool-user–tool–material–environment. This means that, rather than assuming a pre-defined internal representation that drives behaviour, I propose that cognition involves the selection of salient parameters that characterize the behaviour and the continued monitoring and management of behaviour in terms of these parameters. Second, intent is only loosely defined a priori but crystallizes through the continued interactions between craftworker and object through a process in which the affordances of the object become apparent to, and responded to by, the craftworker. (shrink)