A variety of recent philosophical discussions, particularly on topics relating to complexity, have begun to reemploy the concept of 'emergence'. Although multiple concepts of 'emergence' are available, little effort has been made to systematically distinguish them. In this paper, I provide a taxonomy of higher-order properties that (inter alia) distinguishes three classes of emergent properties: (1) ontologically basic properties of complex entities, such as the mythical vital properties, (2) fully configurational properties, such as mental properties as they are conceived of (...) by functionalists and computationalists, and (3) highly configurational/holistic properties, such as the higher-level patterns characteristic of complex dynamical systems. Or more simply: emergence as ontological liberality, emergence as multiple realizability, and emergence as interactive complexity. (shrink)

Recent studies such as Thelen and Smith, Kelso, Van Gelder, Beer, and others have presented a forceful case for a dynamical systems approach to understanding cognition and adaptive behavior. These studies call into question some foundational assumptions concerning the nature of cognitive scientific explanation and the role of notions such as internal representation and computation. These are exciting and important challenges. But they must be handled with care. It is all to easy in this debate to lose sight of the (...) explanatorily important issues and to talk at cross purposes, courtesy of the various ways in which different theorists often concieve key terms. (shrink)

Arguments in favor of anti-representationalism in cognitive science often suffer from a lack of attention to detail. The purpose of this paper is to fill in the gaps in these arguments, and in so doing show that at least one form of anti- representationalism is potentially viable. After giving a teleological definition of representation and applying it to a few models that have inspired anti- representationalist claims, I argue that anti-representationalism must be divided into two distinct theses, one ontological, one (...) epistemological. Given the assumptions that define the debate, I give reason to think that the ontological thesis is false. I then argue that the epistemological thesis might, in the end, turn out to be true, despite a potentially serious difficulty. Along the way, there will be a brief detour to discuss a controversy from early twentieth century physics. (shrink)

Instead of presuming the ‘observer’ as given, we are (re)sensing the observer and are thereby offering an ‘open order cybernetics’ (OOC). We are first of all concerned about our acquisition and use of language as the precondition for any meaningful statement. This self-reflexive point of departure distinguishes our project from philosophers who are presuming ‘something’ (‘closure’, ‘selforganization’, ‘self ’, ‘auto-poiesis’, ‘senses’, ‘objects’, ‘subjects’, ‘language’, ‘nervous systems’ etc.) in the first place without being aware of their presumptions i.e. that they are (...) able to already talk meaningfully about ‘something’. We are undertaking a self-reflexive loop towards our already undertaken ‘meaningful’ actions, reflecting inside our concepts on our concepts, trying to find out how our concepts about ‘something’ have come into existence. We are reflecting on our concepts through this ongoing open investigation. We are sketching the ramifications of such a self-reflexive loop for epistemology as well as for the main research areas within cognitive science (i.e. language acquisition, perception, consciousness). We are also pointing towards virtual reality in combination with the arts as an awareness aid, helping us in our self-reflexive endeavours. (shrink)

Fodor's thinking on modularity has been influential throughout a range of the areas studying cognition, chiefly as a prod for positive work on modularity and domain-specificity. In _The Mind Doesn't Work That Way_, Fodor has developed the dark message of _The Modularity of Mind_ regarding the limits to modularity and computational analyses. This paper offers a critical assessment of Fodor's scepticism with an eye to highlighting some broader issues in play, including the nature of computation and the role of recent (...) empirical developments in the cognitive sciences in assessing Fodor's position. (shrink)

ABSTRACTIn this paper I offer an interventionist perspective on the explanatory structure and explanatory power of dynamical models in cognitive science: I argue that some “pure” dynamical models – ones that do not refer to mechanisms at all – in cognitive science are “contextualized causal models” and that this explanatory structure gives such models genuine explanatory power. I contrast this view with several other perspectives on the explanatory power of “pure” dynamical models. One of the main results is that dynamical (...) models need not refer to underlying mechanisms in order to be explanatory. I defend and illustrate this position in terms of dynamical models of the A-not-B error in developmental psychology as elaborated by Thelen and colleagues, and dynamical models of unintentional interpersonal coordination developed by Richardson and colleagues. (shrink)

The complex systems approach to cognitive science invites a new understanding of extended cognitive systems. According to this understanding, extended cognitive systems are heterogenous, composed of brain, body, and niche, non-linearly coupled to one another. This view of cognitive systems, as non-linearly coupled brain–body–niche systems, promises conceptual and methodological advances. In this article we focus on two of these. First, the fundamental interdependence among brain, body, and niche makes it possible to explain extended cognition without invoking representations or computation. Second, (...) cognition and conscious experience can be understood as a single phenomenon, eliminating fruitless philosophical discussion of qualia and the so-called hard problem of consciousness. What we call “extended phenomenological-cognitive systems” are relational and dynamical entities, with interactions among heterogeneous parts at multiple spatial and temporal scales. (shrink)

Marr's seminal work laid out a program of research by specifying key questions for cognitive science at different levels of analysis. Because dynamic systems theory focuses on time and interdependence of components, DST research programs come to very different conclusions regarding the nature of cognitive change. We review a specific DST approach to cognitive-level processes: dynamic field theory. We review research applying DFT to several cognitive-level processes: object permanence, naming hierarchical categories, and inferring intent, that demonstrate the difference in understanding (...) of behavior and cognition that results from a DST perspective. These point to a central challenge for cognitive science research as defined by Marr—emergence. We argue that appreciating emergence raises questions about the utility of computational-level analyses and opens the door to insights concerning the origin of novel forms of behavior and thought. We contend this is one of the most fundamental questions about cognition and behavior. (shrink)

Non-reductive physicalists have made a number of attempts to provide the relation of supervenience between levels of properties with enough bite to analyze interesting cases without at the same time losing the relation's acceptability for the physicalist. I criticize some of these proposals and suggest an alternative supplementation of the supervenience relation by imposing a requirement of robustness which is motivated by the notion of structural stability familiar from dynamical systems theory. Robust supervenience, I argue, captures what the non-reductive physicalist (...) wants from supervenience; most importantly, it provides a natural background for reconstructing the notion of (diachronic) property emergence in a way acceptable to physicalists. (shrink)

The thesis is defended that the theories of causation, time and space, and levels of reality are mutually interrelated in such a way that the difficulties internal to theories of causation and to theories of space and time can be understood better, and perhaps dealt with, in the categorial context furnished by the theory of the levels of reality. The structural condition for this development to be possible is that the first two theories be opportunely generalized.

The fundamental cognitive problem for active organisms is to decide what to do next in a changing environment. In this article, we analyze motor and action control in computational models that utilize reinforcement learning (RL) algorithms. In reinforcement learning, action control is governed by an action selection policy that maximizes the expected future reward in light of a predictive world model. In this paper we argue that RL provides a way to explicate the so-called action-oriented views of cognitive systems in (...) representational terms. (shrink)

Understanding the role of ‘‘representations’’ in cognitive science is a fundamental problem facing the emerging framework of embodied, situated, dynamical cognition. To make progress, I follow the approach proposed by an influential representational skeptic, Randall Beer: building artificial agents capable of minimally cognitive behaviors and assessing whether their internal states can be considered to involve representations. Hence, I operationalize the concept of representing as ‘‘standing in,’’ and I look for representations in embodied agents involved in simple categorization tasks. In a (...) first experiment, no representation can be found, but the relevance of the task is undermined by the fact that agents with no internal states can reach high performance. A simple modification makes the task more “representationally hungry,” and in this case, agents’ internal states are found to qualify as representations. I conclude by discussing the benefits of reconciling the embodied-dynamical approach with the notion of representation. (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)

Properties of mental representation are related to findings in cognitive science and ideas in shamanism. A selective review of research in cognitive science suggests visual images and spatial memory preserve important functional information regarding physical principles and the behavior of objects in the natural world, and notions of second‐order isomorphism and the perceptual cycle developed to account for such findings are related to shamanic experience. Possible roles of implicit processes in shamanic cognition, and the idea that shamanic experience may involve (...) normally unconscious information becoming temporarily available to consciousness, are considered. The existence of a cognitive module dedicated to processing information relevant to social knowledge and social interaction is consistent with cognitive science and with shamanism, and may help account for the extension of intentionality and meaning that characterize shamanic practice. Overall, findings from cognitive science and ideas from shamanism exhibit a number of correspondences and similarities regarding basic properties of cognition, and this suggests that shamanic and nonshamanic cognition may not be fundamentally different. (shrink)

The long standing and still highly influential mindreading framework claims that social cog- nition is best understood as an ability to predict and explain others’ behavior in terms of their mental states. This ability is explained by appealing to mental representations and inferential reasoning via rule-based knowledge. However, recent enactive work on social cognition questions most, if not all, of the main assumptions on which mindreading is founded. Enac- tivism’s emphasis on the structural coupling of the brain-body-world constitutes the foundation (...) of the framework, which rejects the representational and inferential reasoning claims of the mindreading framework. For enactivists, social cognition is best explained in terms of the direct embodied and embedded interactions an agent has with her socio-material world. In continuing this work, the thesis provides new developments of the enactive project for investigating and explaining social cognition. The thesis utilizes two approaches to achieve this goal. First, it dialectally defends enactivism vis-a-vis the mindreading framework. It does this by both securing established enactive claims from criticism, and by developing new objections against the mindreading framework. Secondly, the thesis offers new enactive interpretations of empirical developmental data, and presents new ways of investigating three central areas of debate within the field of social cognition: the metaphysical basis of social cognitive processes, the false-belief test literature, and the concept of empathy in relation to therapeutic practices and autism. The thesis is composed of five different, but thematically intertwined papers. The first paper targets the constitutive basis of social cognition by attempting to dissolve the causal-constitutive fallacy through appealing to a diachronic conception of constitution. This move both secures established enactive claims and develops a more thorough account of what is meant by enactive constitutive claims. The second paper then examines infant social cognitive capacities, arguing cognitivist explanations of these capacities rely on fallacious as- sumptions regarding the nature of perception. The paper then offers an alternative enactive and ecological account of these capacities. The third paper argues both innate and construc- tivist mindreading accounts of the folk psychological know-how required to reliably succeed on false-belief tests fall prey to an infinite regress problem. The paper ends by briefly pre- senting an alternative enactive, narrative explanation of the empirical data. The fourth paper then shifts focus to examine the concept empathy and practice of empathizing. It argues there are advantages to conceiving of empathy as enactive and exploratory, in the sense that when we empathize with others we understand them in a deeper and richer way, through exploring their self-authored narratives. Finally, the fifth paper re-examines our understand- ing of autism by integrating the enactive framework with a neurodiversity approach to cognition. It argues this integration can help us better understand how neurotypical social practices and institutions effect the development, and well-being, of autistic individuals. Through these substantial expansions of established enactivist accounts, and by offering new objections to the mindreading framework, the thesis provides reasons to prefer an enactivist framework in exploring human abilities for social cognition. (shrink)

Representation is a central part of models in cognitive science, but recently this idea has come under attack. Researchers advocating perceptual symbol systems, situated action, embodied cognition, and dynamical systems have argued against central assumptions of the classical representational approach to mind. We review the core assumptions of the dominant view of representation and the four suggested alternatives. We argue that representation should remain a core part of cognitive science, but that the insights from these alternative approaches must be incorporated (...) into models of cognitive processing. (shrink)