In this paper I argue that to understand minded agency – the capacity we typically find instantiated in instances of human behaviour that could sensibly be questioned by asking “What did you do?” – one needs to understand childhood, i.e. the trajectory of learning to act. I discuss two different types of trajectory, both of which seem to take place during childhood and both of which might be considered crucial to learning to act: a growth of bodily control (GBC) and (...) a growth in taking responsibility (GTR). The discussion of GTR takes up about half of the entire paper. In the final two sections I argue that GTR is the most promising trajectory in terms of which to understand a child’s process of learning to act. (shrink)

One of the most compelling questions still unanswered in neuroscience is how consciousness arises. In this article, we examine visual processing, the parietal lobe, and contralateral neglect syndrome as a window into consciousness and how the brain functions as the mind and we introduce a mechanism for the processing of visual information and its role in consciousness. We propose that consciousness arises from integration of information from throughout the body and brain by the thalamus and that the thalamus reimages visual (...) and other sensory information from throughout the cortex in a default three-dimensional space in the mind. We further suggest that the thalamus generates a dynamic default three-dimensional space by integrating processed information from corticothalamic feedback loops, creating an infrastructure that may form the basis of our consciousness. Further experimental evidence is needed to examine and support this hypothesis, the role of the thalamus, and to further elucidate the mechanism of consciousness. (shrink)

Behaviour is often described as the computation of a response to a stimulus. This description is incomplete in an important way because it only examines what occurs between the reception of stimulus information and the generation of an action. Behaviour is more correctly described as a control process where actions are performed in order to affect perceptions. This closed-loop nature of behaviour is de-emphasized in modern discussions of brain function, leading to a number of artificial mysteries. A notable example is (...) the ‘symbol grounding problem'. When behaviour is viewed as a control process, it is natural to explain how internal representations, even symbols, can have meaning for an organism, and how actions can be motivated by organic needs. (shrink)

This paper proposes a new interpretive stance for interpreting artistic works and performances that is relevant to artificial intelligence research but also has broader implications. Termed the expressive stance, this stance makes intelligible a critical distinction between present-day machine art and human art, but allows for the possibility that future machine art could find a place alongside our own. The expressive stance is elaborated as a response to Daniel Dennett's notion of the intentional stance, which is critically examined with respect (...) to his specialized concept of rationality. The paper also shows that temporal scale implicitly serves to select between different modes of explanation in prominent theories of intentionality. It also considers the implications of the phenomenological background for systems that produce art. (shrink)

Recent theories in cognitive science have begun to focus on the active role of organisms in shaping their own environment, and the role of these environmental resources for cognition. Approaches such as situated, embedded, ecological, distributed and particularly extended cognition look beyond ‘what is inside your head’ to the old Gibsonian question of ‘what your head is inside of’ and with which it forms a wider whole—its internal and external cognitive niche. Since these views have been treated as a radical (...) departure from the received view of cognition, their proponents have looked for support to similar extended views within (the philosophy of) biology, most notably the theory of niche construction. This paper argues that there is an even closer and more fruitful parallel with developmental systems theory and developmental niche construction. These ask not ‘what is inside the genes you inherited’, but ‘what the inherited genes are inside of’ and with which they form a wider whole—their internal and external ontogenetic niche, understood as the set of epigenetic, social, ecological, epistemic and symbolic legacies inherited by the organism as necessary developmental resources. To the cognizing agent, the epistemic niche presents itself not just as a partially self-engineered selective niche, as the niche construction paradigm will have it, but even more so as a partially self-engineered ontogenetic niche, a problem-solving resource and scaffold for individual development and learning. This move should be beneficial for coming to grips with our own (including cognitive) nature: what is most distinctive about humans is their developmentally plastic brains immersed into a well-engineered, cumulatively constructed cognitive–developmental niche. (shrink)

This paper outlines an original interactivist-constructivist approach to modelling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realized in the brain. Two key ideas for conceptualizing intelligence within this framework are developed. These are: intelligence is centrally concerned with the capacity for coherent, context-sensitive, self-directed management of interaction; and the primary model for cognitive learning is anticipative skill construction. Self-directedness is a capacity for integrative process (...) modulation which allows a system to "steer" itself through its world by anticipatively matching its own viability requirements to interaction with its environment. Because the adaptive interaction processes required of intelligent systems are too complex for effective action to be prespecified learning is an important component of intelligence. A model of self-directed anticipative learning is formulated based on interactive skill construction, and argued to constitute a central constructivist process involved in cognitive development. SDAL illuminates the capacity of intelligent learners to start with the vague, poorly defined problems typically posed in realistic learning situations and progressively refine them, transforming them into problems with sufficient structure to guide the construction of a solution. Finally, some of the implications of I-C for modelling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski's recent neural constructivism paradigm, enriched by Montague and Sejnowski's dopaminergic model of anticipative-predictive neural learning, is assessed as a promising, but incomplete, contribution to this approach. The paper concludes with a fourfold reflection on the divergence in cognitive modelling philosophy between the I-C and the traditional computational information processing approaches. (shrink)

The nature of cognition is being re-considered. Instead of emphasizing formal operations on abstract symbols, the new approach foregrounds the fact that cognition is, rather, a situated activity, and suggests that thinking beings ought therefore be considered first and foremost as acting beings. The essay reviews recent work in Embodied Cognition, provides a concise guide to its principles, attitudes and goals, and identifies the physical grounding project as its central research focus.

The 'developmental systems' perspective in biology is intended to replace the idea of a genetic program. This new perspective is strongly convergent with recent work in psychology on situated/embodied cognition and on the role of external 'scaffolding' in cognitive development. Cognitive processes, including those which can be explained in evolutionary terms, are not 'inherited' or produced in accordance with an inherited program. Instead, they are constructed in each generation through the interaction of a range of developmental resources. The attractors which (...) emerge during development and explain robust and/or widespread outcomes are themselves constructed during the process. At no stage is there an explanatory stopping point where some resources control or program the rest of the developmental cascade. 'Human nature' is a description of how things generally turn out, not an explanation of why they turn out that way. Finally, we suggest that what is distinctive about human development is its degree of reliance on external scaffolding. (shrink)

Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of (...) acting. It is a particular way of exploring the environment. Activity in internal representations does not generate the experience of seeing. The out- side world serves as its own, external, representation. The experience of seeing occurs when the organism masters what we call the gov- erning laws of sensorimotor contingency. The advantage of this approach is that it provides a natural and principled way of accounting for visual consciousness, and for the differences in the perceived quality of sensory experience in the different sensory modalities. Sev- eral lines of empirical evidence are brought forward in support of the theory, in particular: evidence from experiments in sensorimotor adaptation, visual “filling in,” visual stability despite eye movements, change blindness, sensory substitution, and color perception. (shrink)

Improvisation is ubiquitous in life. It deserves, we suggest, to occupy a more central role in cognitive science. In the current paper, we take the case of jazz improvisation as a rich model domain from which to explore the nature of improvisation and expertise more generally. We explore the activity of the jazz improviser against the theoretical backdrop of Dreyfus’s account of expertise as well as of enactivist and 4E accounts of cognition and action. We argue that enactivist and 4E (...) accounts provide a rich source of insights on improvisation that go beyond Dreyfus’s notion of skilled coping, for example, through the central enactivist notion of “sense-making”. At the same time, however, we see improvisation also as suggesting an extension of enactivist theory. We see expert improvisers, in music and in life, as walking on a path of open-ended expansion of their mindful experiential relation with their doing. At the heart of an improviser’s expertise, we propose, lies a form of “higher-level inner sense-making” that spontaneously creates novel forms of agentive goal-directedness in the moment. Our account thus supplants Dreyfus’s idea of the ego-less absorbed expert by that of a mindful improviser enacting spontaneous expressions of herself, in music or in life. (shrink)

The current article is the first in a series of review articles addressing biosemiotic terminology. The biosemiotic glossary project is inclusive and designed to integrate views of a representative group of members within the biosemiotic community based on a standard survey and related publications. The methodology section describes the format of the survey conducted in November–December 2013 in preparation of the current review and targeted on the terms ‘agent’ and ‘agency’. Next, I summarize denotation, synonyms and antonyms, with special emphasis (...) on the denotation of these terms in current biosemiotic usage. The survey findings include ratings of nine citations defining or making use of the two terms. I provide a summary of respondents’ own definitions and suggested term usage. Further sections address etymology, connotations, and related terms in English and other languages. A section on the notions’ mainstream meaning vs. their meaning in biosemiotics is followed by attempt at synthesis and conclusions. Although there is currently no consensus in the biosemiotic community on what constitutes a semiotic agent, i.e., an agent in the context of semiosis, most respondents agree that core attributes of an agent include goal-directedness, self-governed activity, processing of semiosis and choice of action, with these features being vital for the functioning of the living system in question. I agree that these four features are constitutive of biosemiotic agents, and stipulate that biosemiotic agents fall within three major categories, namely 1) sub-organismic biosemiotic agents, 2) organismic biosemiotic agents and 3) super-organismic biosemiotic agents. (shrink)

Last year at VSS, Bullot, Droulez & Pylyshyn reported studies using a Modified Traveling Salesman Paradigm in which a virtual vehicle had to visit up to 10 targets once and only once, and in which the invisible targets were identified only by line segments pointing from the vehicle toward each target. We hypothesized that subjects used two distinct strategies: A “location-based strategy”, which kept track of where targets were located in screen coordinates, and a “segment-based strategy” that kept track of (...) which segments corresponded to visited targets. We report new studies that further explore these two strategies. Subjects passively observed a computer-controlled virtual vehicle that visited a number of targets. Two forms of display were used: an “Allocentric” display, in which the vehicle moved and the targets remained fixed in screen coordinates, and an “Egocentric” display, in which the vehicle's position on the screen remained fixed while the targets moved -- as if the environment were being viewed by an observer on the vehicle. At the end of each trial, the directional segments were extended to the edge of the screen and subjects were asked to perform two tasks by referring to these segments. In the “status task” observers had to indicate for each segment whether the corresponding target had been visited or not. In the “locating task” they had to locate each target along its directional segment. Performance on these two tasks measures the use of the two hypothesized strategies. Results showed that observers do well on the status task with 4 or 6 targets in both display conditions, but do poorly on the locating task, especially in the egocentric condition when there are more targets. These results are consistent with the hypothesis that in the egocentric condition the MTSP task is carried out primarily by segment-tracking, which can be viewed as a deictic strategy. (shrink)

I consider two threats to the idea that on-line intelligent behaviour (the production of fluid and adaptable responses to ongoing sensory input) must or should be explained by appeal to neurally located representations. The first of these threats occurs when extra-neural factors account for the kind of behavioural richness and flexibility normally associated with representation-based control. I show how this anti-representational challenge can be met, if we apply the thought that, to be a representational system, an action-oriented neural system must (...) not only be the source of at least some of the observed behavioural richness and flexibility, it must also feature two architectural traits, namely arbitrariness and homuncularity. Unfortunately, however, this solution opens the door to our second threat to representation. The homuncularity condition will not be met by any system in which the causal contribution of each component is massively context-sensitive and variable over time. I end by discussing the empirical bet that biological nervous systems will not exhibit this style of causation. (shrink)

In recent years the cognitive science community has witnessed the rise of a new, dynamical approach to cognition. This approach entails a framework in which cognition and behavior are taken to result from complex dynamical interactions between brain, body, and environment. The advent of the dynamical approach is grounded in a dissatisfaction with the classical computational view of cognition. A particularly strong claim has been that cognitive systems do not rely on internal representations and computations. Focusing on this claim, we (...) take as a starting point a question recently raised by Cliff and Noble: " if evolution did produce a design that used internal representations, how would we recognize it?" (Knowledge-based vision and simple visual machines, Philosophical Transactions of the Royal Society: Biological Sciences, 352 , 1165-1175, 1997). We will argue that cognitive science lacks a proper operationalization of the notion of representation, and therefore is unable to fruitfully discuss whether a particular system has representations or not. A basic method to detect representations in a physical system, grounded in isomorphism, turns out to be quite unconstrained. We will look at a practical example of this problem by examining the debate on whether or not van Gelder's (What might cognition be, if not computation? Journal of Philosophy, 92 , 345-381, 1995) controversial example of the Watt Governor is representational. We will conclude that cognitive science, as of yet, has no empirically applicable means to answer Cliff and Noble's question unequivocally. This makes the recent representationalism vs. anti-representationalism debate a debate for the sake of appearance. (shrink)

The air of consensus in these reviews is, as McNaughton notes, methodological. The future of philosophical emotion theory is in synthesising what a wide range of science has to tell us and using this to reflect on the nature of mind in general. In this respect the philosophy of emotion has been seriously out of step with the rest of a very exciting contemporary scene in the philosophy of mind. Whatever the shortcomings of my own attempt to bring the philosophy (...) of emotion into contact with the rest of the discipline, I predict that this ‘reclaimed land’ will prove fertile. (shrink)

This paper explores the role of the traditional computational metaphor in our thinking as computer scientists, its influence on epistemological styles, and its implications for our understanding of cognition. It proposes to replace the conventional metaphor--a sequence of steps--with the notion of a community of interacting entities, and examines the ramifications of such a shift on these various ways in which we think.

In this paper I distinguish two types of mental causation, called 'higher-level causation' and 'exploitation'. These notions superficially resemble the traditional problematic notions of supervenient causation and downward causation, but they are different in crucial respects. My new distinction is supported by a radically externalist competitor of the so-called Standard View of mental states, i.e. the view that mental states are brain states. I argue that on the Alternative View, the notions of 'higher-level causation' and 'exploitation' can in combination dissolve (...) the problem of mental causation as standardly discussed. (shrink)

The Narrow Evolutionary Psychology Movement represents itself as a major reorientation of the social/behavioral sciences, a group of sciences previously dominated by something called the ‘Standard Social Science Model’. Narrow Evolutionary Psychology alleges that the SSSM treated the mind, and particularly those aspects of the mind that exhibit cultural variation, as devoid of any marks of its evolutionary history. Adherents of Narrow Evolutionary Psychology often suggest that the SSSM owed more to ideology than to evidence. It was the child of (...) the 1960s, representing a politically motivated insistence on the possibility of changing social arrangements such as gender roles: " ‘Not so long ago jealousy was considered a pointless, archaic institution in need of reform. But like other denials of human nature from the 1960s, this bromide has not aged well.’ ) " This view of history does not ring true to those, like the authors, who have worked in traditions of evolutionary theorizing about the mind that have a continuous history through the 1960s and beyond: traditions such as evolutionary epistemology and psychoevolutionary research into emotion (Griffiths. (shrink)

Attachment theory ( Bowlby, 1969/1982 ) posits the existence of internal working models as a foundational feature of human bonds. Radical embodied approaches instead suggest that cognition requires no computation or representation, favoring a cognition situated in a body in an environmental context with affordances for action ( Chemero, 2009 ; Barrett, 2011 ; Wilson and Golonka, 2013 ; Casasanto and Lupyan, 2015 ). We explore whether embodied approaches to social soothing, interpersonal warmth, separation distress, and support seeking could replace (...) representational constructs such as internal working models with a view of relationship cognition anchored in the resources afforded to the individual by their brain, body, and environment in interaction. We review the neurobiological bases for social attachments and relationships and attempt to delineate how these systems overlap or don’t with more basic physiological systems in ways that support or contradict a radical embodied explanation. We suggest that many effects might be the result of the fact that relationship cognition depends on and emerges out of the action of neural systems that regulate several clearly physically grounded systems. For example, the neuropeptide oxytocin appears to be central to attachment and pair-bond behavior ( Carter and Keverne, 2002 ) and is implicated in social thermoregulation more broadly, being necessary for maintaining a warm body temperature (for a review, see IJzerman et al., 2015b ). Finally, we discuss the most challenging issues around taking a radically embodied perspective on social relationships. We find the most crucial challenge in individual differences in support seeking and responses to social contact, which have long been thought to be a function of representational structures in the mind (e.g., Baldwin, 1995 ). Together we entertain the thought to explain such individual differences without mediating representations or computations, but in the end propose a hybrid model of radical embodiment and internal representations. (shrink)

The overall goal of this target article is to demonstrate a mechanism for an embodied cognition. The particular vehicle is a much-studied, but still widely debated phenomenon seen in 7–12 month-old-infants. In Piaget's classic “A-not-B error,” infants who have successfully uncovered a toy at location “A” continue to reach to that location even after they watch the toy hidden in a nearby location “B.” Here, we question the traditional explanations of the error as an indicator of infants' concepts of objects (...) or other static mental structures. Instead, we demonstrate that the A-not-B error and its previously puzzling contextual variations can be understood by the coupled dynamics of the ordinary processes of goal-directed actions: looking, planning, reaching, and remembering. We offer a formal dynamic theory and model based on cognitive embodiment that both simulates the known A-not-B effects and offers novel predictions that match new experimental results. The demonstration supports an embodied view by casting the mental events involved in perception, planning, deciding, and remembering in the same analogic dynamic language as that used to describe bodily movement, so that they may be continuously meshed. We maintain that this mesh is a pre-eminently cognitive act of “knowing” not only in infancy but also in everyday activities throughout the life span. Key Words: cognitive development; dynamical systems theory; embodied cognition; infant development; motor control; motor planning; perception and action. (shrink)

Given (1) Wittgensteins externalist analysis of the distinction between following a rule and behaving in accordance with a rule, (2) prima facie connections between rule-following and psychological capacities, and (3) pragmatic issues about training, it follows that most, even all, future artificially intelligent computers and robots will not use language, possess concepts, or reason. This argument suggests that AIs traditional aim of building machines with minds, exemplified in current work on cognitive robotics, is in need of substantial revision.

Resumen La racionalidad ecológica que propone el grupo de investigación ABC destaca en su proyecto normativo la relación entre las heurísticas rápidas y frugales y el ambiente; por ello, considera que se trata de una racionalidad situada. El primer objetivo de este trabajo es mostrar que, si bien la racionalidad ecológica puede entenderse como una forma de situar la racionalidad, ello no implica situar el razonamiento. En particular, se muestra que la manera de entender la ecología del razonamiento es estática, (...) como en los estudios estándar de la cognición. El segundo objetivo es mostrar que es deseable y viable caracterizar el razonamiento heurístico de manera que nos permita entender cómo las interacciones con el entorno son parte de las estructuras cognitivas que sustentan nuestras capacidades de razonamiento, es decir, formular una ecología interactiva del razonamiento.The relation between fast and frugal heuristics and the environment is central to the normative project of the ecological rationality proposed by the ABC research group. This is why ecological rationality has been considered as a situated rationality. This paper shows that even if ecological rationality can be seen as situated rationality, this does not imply a situated form of reasoning and, in particular, that the understanding of the ecology of reasoning in this proposal is as static as it is in the standard studies of cognition. Next, the article focuses on showing that characterizing heuristic reasoning in a way that allows us to understand how interactions with the social and material environment are components of the cognitive structure that ground our reasoning is a desirable and viable task, which would allow us to formulate an interactive ecology of reasoning. (shrink)

Explanations of cognitive processes provided by traditional artificial intelligence were based on the notion of the knowledge level. This perspective has been challenged by new AI that proposes an approach based on embodied systems that interact with the real‐world. We demonstrate that these two views can be unified. Our argument is based on the assumption that knowledge level explanations can be defined in the context of Bayesian theory while the goals of new AI are captured by using a well established (...) robot based model of learning and problem solving, called Distributed Adaptive Control (DAC). In our analysis we consider random foraging and we prove that minor modifications of the DAC architecture renders a model that is equivalent to a Bayesian analysis of this task. Subsequently, we compare this enhanced, “rational,” model to its “non‐rational” predecessor and a further control condition using both simulated and real robots, in a variety of environments. Our results show that the changes made to the DAC architecture, in order to unify the perspectives of old and new AI, also lead to a significant improvement in random foraging. (shrink)

My brand of evolutionary economics recognizes, highlights, that modern economies are always in the process of changing, never fully at rest, with much of the energy coming from innovation. This perspective obviously draws a lot from Schumpeter. Continuing innovation, and the creative destruction that innovation engenders, is driving the system. There are winners and losers in the process, but generally the changes can be regarded as progress. The processes through which economic activity and performance evolve has a lot in common (...) with evolution in biology. In particular, at any time the economy is marked by considerable variety, there are selection forces winnowing on that variety, but also continuing emergence of new ways of doing things and often economic actors. But there also are important differences from biological evolution. In particular, both innovation and selection are to a considerable degree purposive activities, often undertaken on the basis of relatively strong knowledge. (shrink)

How do we perceive the agency of others? Do the same rules apply when interacting with others who are radically different from ourselves, like other species or robots? We typically perceive other people and animals through their embodied behavior, as they dynamically engage various aspects of their affordance field. In second personal perception we also perceive social or interactional affordances of others. I discuss various aspects of perceptible agency, which might begin to give us some tools to understand interactions also (...) with agents truly other than ourselves or “perhaps agents” like present and future social robots. Robots have various kinds of physical and behavioral presence and thus make their agency—if we want to call it that—perceptible in ways that computers and other forms of AI do not. The largely dualist assumptions pertaining to the hidden bodies of traditional Turing tests are discussed, as well as the social affordance effects of such indirect interactions as opposed to interactions in physically shared space. The question is what role various abilities to reveal, hide and dynamically control the body and broader behavior plays in heterogeneous tech or machine mediated interactions. I argue that the specifics and richness of perceptible agency matters to the kind of reciprocity we can obtain. (shrink)

Top-down dynamical models of cognitive processes, such as the one presented by Thelen et al., are important pieces in understanding the development of cognitive abilities in humans and biological organisms. Unlike standard symbolic computational approaches to cognition, such dynamical models offer the hope that they can be connected with more bottom-up, neurologically inspired dynamical models to provide a complete view of cognition at all levels. We raise some questions about the details of their simulation and about potential limitations of top-down (...) dynamical models. (shrink)

Man’s intellectual capacity remains an enigma, as it is both the subject and the means of analysis. If one is to assume quantum-wave dualism in physics then the state of the world depends on the instruments we use for observation. The “paradoxical” nature of investigating human cognition may thus bear inherent limitations. However, studying cognitive models may be less of a seemingly inconsistent endeavor, if “contradictions” may be classified. In this brief exposition, a variety of aspects related to cognitive models (...) are discussed. The authors maintain that modeling the functional “paradoxical nature” of human cognition remains the greatest challenge. Therefore, consciousness aside, models of conscious systems, or rather conscious models of conscious systems, are the main objects of exploration. While intentional systems may seem a good starting point for such an exploration, they lack two important constructs: volition and reflexion. Both concepts, and especially volition, unlike rationality for example, are less discussed in the discourse of cognitive models. Although not devoted to volition or reflexion, this work proposes an increased research interest in these areas. (shrink)

For a robot to be capable of development it must be able to explore its environment and learn from its experiences. It must find opportunities to experience the unfamiliar in ways that reveal properties valid beyond the immediate context. In this paper, we develop a novel method for using the rhythm of everyday actions as a basis for identifying the characteristic appearance and sounds associated with objects, people, and the robot itself. Our approach is to identify and segment groups of (...) signals in individual modalities based on their rhythmic variation, then to identify and bind causally-related groups of signals across different modalities. By including proprioception as a modality, this cross-modal binding method applies to the robot itself, and we report a series of experiments in which the robot learns about the characteristics of its own body. (shrink)

This paper discusses different approaches incognitive science and artificial intelligenceresearch from the perspective of radicalconstructivism, addressing especially theirrelation to the biologically based theories ofvon Uexküll, Piaget as well as Maturana andVarela. In particular recent work in New AI and adaptive robotics on situated and embodiedintelligence is examined, and we discuss indetail the role of constructive processes asthe basis of situatedness in both robots andliving organisms.

Draft 13 April 2007. Under review at Phenomenology and the Cognitive Sciences.