We explored the influence of negation on cognitive dynamics, measured using mouse‐movement trajectories, to test the classic notion that negation acts as an operator on linguistic processing. In three experiments, participants verified the truth or falsity of simple statements, and we tracked the computer‐mouse trajectories of their responses. Sentences expressing these facts sometimes contained a negation. Such negated statements could be true (e.g., “elephants are not small”) or false (e.g., “elephants are not large”). In the first experiment, as predicted (...) by the classic notion of negation, we found that negation caused more discreteness in the mouse trajectory of a response. The second experiment induced a simple context for these statements, yet negation still increased discreteness in trajectories. A third experiment enhanced the pragmatic context of sentences, and the discreteness was substantially diminished, with one primary measure no longer significantly showing increased discreteness at all. Traditional linguistic theories predict rapid shifts in cognitive dynamics occur due to the nature of negation: It is an operator that reverses the truth or falsity of an interpretation. We argue that these results support both propositional and contextual accounts of negation present in the literature, suggesting that contextual factors are crucial for determining the kind of cognitive dynamics displayed. We conclude by drawing broader lessons about theories of cognition from the case of negation. (shrink)

It appears that indexicals must have fine-grained senses for us to explain things involving human action and emotions, and we typically identify these different senses with different modes of expression. On the other hand, we also express the very same thought in very different ways. The first problem is the problem of cognitive significance. The second problem is what Branquinho (1999) has called the problem of cognitive dynamics. The question is how we can solve both of those problems (...) at the same time. Vojislav Božičković (2021) offers one solution in which the cognitive dynamics runs through the objects of the attitudes. I discuss this solution and offer an alternative in which the theory of cognitive dynamics has no use for the objects of the attitudes to unify expressions of attitudes. When we say or believe “the same thing” using different modes of expressions, it is by virtue of our deploying a dynamic theory of attitude expression. Like Lewis Carrol’s Red Queen, we must run to stay in place. (shrink)

It is argued that the theory of situated cognition together with dynamic systems theory can explain the core of artistic practice and aesthetic experience, and furthermore paves the way for an account of how artist and audience can meet via the artist's work. The production and consumption of art is an embodied practice, firmly based in perception and action, and supported by features of the local, agent-centered and global socio-cultural contexts. Artistic creativity and aesthetic experience equally result from the dynamic (...) interplay between agent and context, allowing for artist and viewer to relate to the artist's work in similar ways. (shrink)

This paper takes up David Kaplan's suggestion that the phenomenon of cognitive dynamics can be approached via a study of what it takes for someone to change her mind. It is argued that in order for a subject to be able to change her mind about something, there must be occasions on which the following is the case: (1) First, the subject believed of an 'x' that it was f, now she believes of 'x' that it is not-f. (2) (...) She stopped believing of 'x' that it was f before she started believing of 'x' that it was not-f. (3) She knows that (1) and (2). The first part of the investigation shows why (1) - (3) are necessary within an account of what it is for someone to change her mind. The second part focuses on condition (3) and argues that it entails that the sameness or difference of thought content over time must sometimes be an epistemic given, i.e., that the subject can know that a thought she entertains now is the same as a thought she entertained earlier. (shrink)

Frege held that indexical thoughts could be retained through changes of context that required a change of indexical term. I argue that Frege was partially right in that a singular mode of presentation can be retained through changes of indexical. There must, however, be a further mode of presentation that changes when the indexical term changes. This suggests that indexicals should be regarded as complex demonstratives; a change of indexical term is like a change between 'that φ' and 'that ψ', (...) where 'φ' and 'ψ' pick out relational properties that may nonetheless be conceived of by the thinker as intrinsic. (shrink)

In this paper, an integrated, cognitive view of different mechanisms, reasons and pathways to norm compliance is presented. After a short introduction, theories of norm compliance are reviewed, and found to group in four main typologies: the rational choice model of norm compliance; theories based on conditional preferences to conformity, theories of thoughtless conformity, and theories of norm internalization. In the third section of the paper, the normative architecture EMIL-A is presented. Previous work discussed the epistemic module of this (...) normative architecture, allowing for the generation of normative beliefs being formed. The fourth and fifth sections present the pragmatic modules of EMIL-A, i.e. norm adoption—leading to normative goals—and norm compliance—leading to their execution. Not only are several alternative reasons for norm adoption shown, but also several pathways to norm compliance are identified. Finally, a summary and ideas for future works conclude the paper. (shrink)

The debate over the explanatory nature of cognitive models has been waged mostly between two factions: the mechanists and the dynamical systems theorists. The former hold that cognitive models are explanatory only if they satisfy a set of mapping criteria, particularly the 3M/3m* requirement. The latter have argued, pace the mechanists, that some cognitive models are both dynamical and constitute covering-law explanations. In this paper, I provide a minimal model interpretation of dynamical cognitive models, arguing that (...) this both provides needed clarity to the mechanist versus dynamicist divide in cognitive science and also paves the way towards further insights about scientific explanation generally. (shrink)

Although cognitive psychology is still dominated by computational theories, there is an emerging emphasis on dynamical aspects of cognition. Examples are provided supporting the increased use of dynamically inspired models by psychologists. Despite measurement and model verification problems in the direct use of dynamical system theoretic technology, van Gelder's general approach to cognition is recommended.

Two approaches to cognitive dynamics are examined: the direct reference view, taken as represented in David Kaplan's positions, and the neo-Fregean view, taken as represented in Gareth Evans's positions. The upshot of the discussion is twofold. On the one hand, it is argued that both Kaplan's account and Evans's account are on the whole defective. On the other, it is claimed that a broadly Fregean theory is still to be preferred since by positing semantically efficacious modes of presentation it (...) is clearly better equipped to deal adequately with some important phenomena in the area. In particular, it is claimed that the notion of a memory-based demonstrative mode of presentation of an object (a spatio-temporal particular, a region in space, a period of time, etc.) turns out to be indispensable for the purpose of accounting for the persistence of an important range of mental states with propositional content over time. (shrink)

Bozickovic’s The Indexical Point of View is a rich and well-argued book in which he raises many interesting questions regarding indexical reference. In what follows I will mainly concentrate on Bozickovic’s neo-Fregean proposal and the criticism he proposes to the Kaplan-Perry theory according to which characters are what help us to handle the cognitive significance problem. Although I think Bozickovic’s account to be accurate, the criticisms he raises against Perry may be dealt with without having to dismiss the Kaplan-Perry (...) framework. (shrink)

The study of decision making has traditionally been dominated by axiomatic utility theories. More recently, an alternative approach, which focuses on the micro-mechanisms of the underlying deliberation process, has been shown to account for several "paradoxes" in human choice behavior for which simple utility-based approaches cannot. Decision field theory (DFT) is a cognitive-dynamical model of decision making and preferential choice, built on the fundamental principle that decisions are based on the accumulation of subjective evaluations of choice alternatives until a (...) threshold criterion is met. This article extends the basic DFT framework to the domain of dynamic decision making. DFT-Dynamic is proposed as a new alternative to normative backward induction. Through its attention to the processes underlying planning and deliberation DFT-D provides simple, emergent explanations for violations of choice principles traditionally taken as evidence of irrationality. A recent multistage decision making study is used to showcase the model's efficacy for developing cognitive models of individual strategies. (shrink)

We trace how cognition arises beyond the skin. Experimental work on insight problem solving is used to examine how external artifacts can be used to reach the goal of assembling a `cheap necklace'. Instead of asking how insight occurs `in the head', our participants in Experiment 1 can either draw solution attempts or manipulate real objects . Even though performance with real chain links is significantly more successful than on paper, access to objects does not make this insight problem simple: (...) objects themselves do not shape cognition. This challenges extended mind views. While failure often results from the inappropriate application of hill-climbing, material artifacts can trigger solutions. In Experiment 2, we used `open link' conditions of the concretized problem to prompt participants to act . Solutions arrived via insight, serendipity, or trial-and-error. By investigating how objects are used, we show that they do more than supplement neural events. Rather, participants monitor and anticipate the effects of action within an organism-environment system. By analogy, language too draws on experience of monitoring real-time effects as bodily dynamics play out in a normative and cultural world. In engaging with public language, it is likely that verbal patterns function by constraining anticipatory cognitive processes. (shrink)

We trace how cognition arises beyond the skin. Experimental work on insight problem solving is used to examine how external artifacts can be used to reach the goal of assembling a ‘cheap necklace’. Instead of asking how insight occurs ‘in the head’, our participants in Experiment 1 can either draw solution attempts or manipulate real objects. Even though performance with real chain links is significantly more successful than on paper, access to objects does not make this insight problem simple: objects (...) themselves do not shape cognition. This challenges extended mind views. While failure often results from the inappropriate application of hill-climbing, material artifacts can trigger solutions. In Experiment 2, we used ‘open link’ conditions of the concretized problem to prompt participants to act. Solutions arrived via insight, serendipity, or trial-and-error. By investigating how objects are used, we show that they do more than supplement neural events. Rather, participants monitor and anticipate the effects of action within an organism-environment system. By analogy, language too draws on experience of monitoring real-time effects as bodily dynamics play out in a normative and cultural world. In engaging with public language, it is likely that verbal patterns function by constraining anticipatory cognitive processes. (shrink)

Amit's “Attractor Neural Network” perspective on cognition raises difficult technical problems already met by prior dynamical models. This commentary sketches briefly some of them concerning the internal topological structure of attractors, the constituency problem, the possibility of activating simultaneously several attractors, and the different kinds of dynamical structures one can use to model brain activity: point attractors, strange attractors, synchronized arrays of oscillators, synfire chains, and so forth.

ArgumentKuhnian phases of paradigmatic development correspond to characteristic variations of citation measures. These correlations can in turn be predicted from a simple model of human information processing when applied to the common environments of scientists. By combining a scientometric and a human information processing approach to the history of scientific thought, structures of disciplinary development, and in particular paradigmatic cycles, can be more reliably assessed than before. Consequently, the quantitative historian of science is liberated to some extent from the vagaries (...) of qualitative judgment, as exemplified by traditional narrative type approaches to the history of science. (shrink)

One challenge faced by aesthetics is the development of an account able to trace out the continuities and discontinuities between general experience and aesthetic experiences. Regarding this issue, in this paper, I present an enactive model of some raw cognitive dynamics that might drive the progressive emergence of aesthetic experiences from the stream of general experience. The framework is based on specific aspects of John Dewey’s pragmatist philosophy and embodied aesthetic theories, while also taking into account research in ecological (...) psychology, cognitive sciences, and dynamic systems theory. The model focuses on dynamically relevant nodes at the pre-reflective and the reflective side of experience that would work as nested rhythmic constraints at different cognitive timescales with the potential to shunt experiences toward the aesthetic in everyday situations. My proposal constitutes a way to explore aesthetic experiences from an enactive perspective that regards them as transformative events in which cognitive processes entrain and are entrained by changes taking place in the environment, the brain, and the body. (shrink)

This book argues that there is a common cognitive mechanism underlying all indexical thoughts, in spite of their seeming diversity. Indexical thoughts are mental representations, such as beliefs and desires. They represent items from a thinker's point of view or her cognitive perspective. We typically express them by means of sentences containing linguistic expressions such as 'this ' or 'that ', adverbs like 'here', 'now', and 'today', and the personal pronoun 'I'. While generally agreeing that representing the world (...) from a thinker's cognitive perspective is a key feature of indexical thoughts, philosophers disagree as to whether a thinker's cognitive perspective can be captured and rationalized by semantic content and, if so, what kind of content this is. This book surveys competing views and then advances its own positive account. Ultimately, it argues that a thinker's cognitive perspective - or her indexical point of view - is to be explained in terms of the content that is believed and asserted as the only kind of content that there is which thereby serves as the bearer of cognitive significance. The Indexical Point of View will be of interest to philosophers of mind and language, linguists, and cognitive scientists. (shrink)

In accounts of indexicals, we encounter two problems: the problem of cognitive significance and the problem of cognitive dynamics. The problem of cognitive significance leads us to posit finer-grained sense content to account for the explanation of our actions and emotions. Meanwhile the problem of cognitive dynamics calls us to show how two episodes of thought can have the same fine-grained sense content even though they are expressed in different ways in different times and places. Bojislav (...) Bozickovic offers a solution to the problem of cognitive dynamics by using objects to tie together different ways in which a sense content might be expressed, and arguing that the sense expressions might become untied if we come to wonder if we are talking about the same object. I argue that this strategy raises a number of questions, and may lead to destabilization of our thought contents based on past and future concerns about object identity. (shrink)

The European Review of Philosophy aims at restoring the tradition of rigorous philosophical discussion by bringing together new philosophers from various parts of Europe and by making their works on a wide range of topics available to the philosophical community. The theme of this volume is cognitive dynamics, a term coined by David Kaplan in his classical work 'Demonstratives'. The contributors touch on important requirements in the theory of cognitive dynamics such as the presence of change of mind, (...) the question of the relative priority of the theories of thought and language and changes in context and content. (shrink)

According to the dominant computational approach in cognitive science, cognitive agents are digital computers; according to the alternative approach, they are dynamical systems. This target article attempts to articulate and support the dynamical hypothesis. The dynamical hypothesis has two major components: the nature hypothesis (cognitive agents are dynamical systems) and the knowledge hypothesis (cognitive agents can be understood dynamically). A wide range of objections to this hypothesis can be rebutted. The conclusion is that cognitive systems (...) may well be dynamical systems, and only sustained empirical research in cognitive science will determine the extent to which that is true. (shrink)

Two widely accepted assumptions within cognitive science are that (1) the goal is to understand the mechanisms responsible for cognitive performances and (2) computational modeling is a major tool for understanding these mechanisms. The particular approaches to computational modeling adopted in cognitive science, moreover, have significantly affected the way in which cognitive mechanisms are understood. Unable to employ some of the more common methods for conducting research on mechanisms, cognitive scientists’ guiding ideas about mechanism have (...) developed in conjunction with their styles of modeling. In particular, mental operations often are conceptualized as comparable to the processes employed in classical symbolic AI or neural network models. These models, in turn, have been interpreted by some as themselves intelligent systems since they employ the same type of operations as does the mind. For this paper, what is significant about these approaches to modeling is that they are constructed specifically to account for behavior and are evaluated by how well they do so—not by independent evidence that they describe actual operations in mental mechanisms. (shrink)

Dynamical systems theory (DST) is a branch of mathematics that assesses abstract or physical systems that change over time. It has a quantitative part (mathematical equations) and a related qualitative part (plotting equations in a state space). Nonlinear dynamical systems theory applies the same tools in research involving phenomena such as chaos and hysteresis. These approaches have provided different ways of investigating and understanding cognitive systems in cognitive science and neuroscience. The ‘dynamical hypothesis’ claims that cognition is and (...) can be understood as dynamical systems. Common consequences for such an approach include rejecting understanding cognition as information processing in nature, including eschewing explanatory roles for computation or representation. Contemporary applications of DST include mouse‐tracking studies in cognitive science and nonrepresentational perspectives on motor control in neuroscience. Such work has philosophical implications concerning the boundaries of cognition, explanation, and representations. DST offers powerful methodology and theories that raise many topics of philosophical significance. (shrink)

Abstract In this article, we investigate the merits of an enactive view of cognition for the contemporary debate about social cognition. If enactivism is to be a genuine alternative to classic cognitivism, it should be able to bridge the “cognitive gap”, i.e. provide us with a convincing account of those higher forms of cognition that have traditionally been the focus of its cognitivist opponents. We show that, when it comes to social cognition, current articulations of enactivism are—despite their celebrated (...) successes in explaining some cases of social interaction—not yet up to the task. This is because they (1) do not pay sufficient attention to the role of offline processing or “decoupling”, and (2) obscure the cognitive gap by overemphasizing the role of phenomenology. We argue that the main challenge for the enactive view will be to acknowledge the importance of both coupled (online) and decoupled (offline) processes for basic and advanced forms of (social) cognition. To meet this challenge, we articulate a dynamic embodied view of cognition. We illustrate the fruitfulness of this approach by recourse to recent findings on false belief understanding. Content Type Journal Article Pages 1-23 DOI 10.1007/s11097-011-9223-1 Authors Leon C. de Bruin, Department of Philosophy II, Ruhr-University Bochum, Universitätsstr. 150, 44801 Bochum, Germany Lena Kästner, Department of Philosophy II, Ruhr-University Bochum, Universitätsstr. 150, 44801 Bochum, Germany Journal Phenomenology and the Cognitive Sciences Online ISSN 1572-8676 Print ISSN 1568-7759. (shrink)

Many who advocate dynamical systems approaches to cognitive science believe themselves committed to the thesis of extended cognition and to the rejection of representation. I argue that this belief is false. In part, this misapprehension rests on a warrantless re-conception of cognition as intelligent behavior. In part also, it rests on thinking that conceptual issues can be resolved empirically. Once these issues are sorted out, the way is cleared for a dynamical systems approach to cognition that is free to (...) retain the standard conception of cognition as taking place in the head, and over representations. (shrink)

In popular imagination creativity requires us to surrender control. Yet, attention is at the heart of control, and many studies show attention to play a key role in the creative process. This is partly due to the selective nature of attention—creative cognition consists of two phases, idea generation and idea evaluation, and selective processes are essential for both phases. Here, we investigate attentional (i.e., selective) mechanisms underlying each phase, using the framework of two major attention taxonomies: top-down/bottom-up and internal/external attention. (...) We argue that creative cognition is supported by a dynamic interplay between the typically opposing sides of each taxonomy. Further, we argue that this dynamic relationship is reflected in interactions across three large-scale brain networks: the default mode (DMN), frontoparietal control (FPN), and salience (SN) networks. Our review of the evidence suggests that creative cognition is best achieved through the flexible use of multiple forms of attention, rather than through reduced attention. We thus propose a two-dimensional space, including one dimension for top-down/bottom-up and another for internal/external attention, which can sufficiently capture the flexibility and diversity of attentional mechanisms underlying different stages and components of creative cognition. (shrink)

Dynamical models of cognition have played a central role in recent cognitive science. In this paper, we consider a common strategy by which dynamical models describe their target systems neither as purely static nor as purely dynamic, but rather using a hybrid approach. This hybridity reveals how dynamical models involve representational choices that are important for understanding the relationship between dynamical and non-dynamical representations of a system.

Abstract“Force dynamics” refers to a previously neglected semantic category—how entities interact with respect to force. This category includes such concepts as: the exertion of force, resistance to such exertion and the overcoming of such resistance, blockage of a force and the removal of such blockage, and so forth. Force dynamics is a generalization over the traditional linguistic notion of “causative”: it analyzes “causing” into finer primitives and sets it naturally within a framework that also includes “letting,”“hindering,”“helping,” and still further notions. (...) Force dynamics, moreover, appears to be the semantic category that uniquely characterizes the grammatical category of modals, in both their basic and epistemic usages. In addition, on the basis of force dynamic parameters, numerous lexical items fall into systematic semantic patterns, and there exhibit parallelisms between physical and psychosocial reference. Further, from research on the relation of semantic structure to general cognitive structure, it appears that the concepts of force interaction that are encoded within language closely parallel concepts that appear both in early science and in naive physics and psychology. Overall, force dynamics thus emerges as a fundamental notional system that structures conceptual material pertaining to force interaction in a common way across a linguistic range: the physical, psychological, social, inferential, discourse, and mental-model domains of reference and conception. (shrink)

“Force dynamics” refers to a previously neglected semantic category—how entities interact with respect to force. This category includes such concepts as: the exertion of force, resistance to such exertion and the overcoming of such resistance, blockage of a force and the removal of such blockage, and so forth. Force dynamics is a generalization over the traditional linguistic notion of “causative”: it analyzes “causing” into finer primitives and sets it naturally within a framework that also includes “letting,”“hindering,”“helping,” and still further notions. (...) Force dynamics, moreover, appears to be the semantic category that uniquely characterizes the grammatical category of modals, in both their basic and epistemic usages. In addition, on the basis of force dynamic parameters, numerous lexical items fall into systematic semantic patterns, and there exhibit parallelisms between physical and psychosocial reference. Further, from research on the relation of semantic structure to general cognitive structure, it appears that the concepts of force interaction that are encoded within language closely parallel concepts that appear both in early science and in naive physics and psychology. Overall, force dynamics thus emerges as a fundamental notional system that structures conceptual material pertaining to force interaction in a common way across a linguistic range: the physical, psychological, social, inferential, discourse, and mental‐model domains of reference and conception. (shrink)

Dynamicism has provided cognitive science with important tools to understand some aspects of “how cognitive agents work” but the issue of “what makes something cognitive” has not been sufficiently addressed yet, and, we argue, the former will never be complete without the later. Behavioristic characterizations of cognitive properties are criticized in favor of an organizational approach focused on the internal dynamic relationships that constitute cognitive systems. A definition of cognition as adaptive-autonomy in the embodied and (...) situated neurodynamic domain is provided: the compensatory regulation of a web of stability dependencies between sensorimotor structures, is created and preserved during a historical/developmental process. We highlight the functional role of emotional embodiment: internal bioregulatory processes coupled to the formation and adaptive regulation of neurodynamic autonomy. Finally, we discuss a “minimally cognitive behavior program” in evolutionary simulation modelling suggesting that much is to be learned from a complementary “minimally cognitive organization program”. (shrink)

This book explores the application of dynamical theory to cognitive science. Giunti shows how the dynamical approach can illuminate problems of cognition, information processing, consciousness, meaning, and the relation between body and mind.

The aim of this paper is to demonstrate that the postulation of irreducible, distributed cognitive systems is necessary for the successful explanatory practice of cognitive science and sociology. Towards this end, and with an eye specifically on the phenomenon of distributed cognition, the debate over reductionism versus emergence is examined from the perspective of Dynamical Systems Theory. The motivation for this novel approach is threefold. Firstly, DST is particularly popular amongst cognitive scientists who work on modelling collective (...) behaviors. Secondly, DST can deliver two distinct arguments in support of the claim that the presence of mutual interactions between group members necessitates the postulation of the corresponding group entity. Thirdly, DST can also provide a succinct understanding of the way group entities exert downward causation on their individual members. The outcome is a naturalist account of the emergent, and thereby irreducible, nature of distributed cognitive systems that avoids the reductionists’ threat of epiphenomenalism, while being well in line with materialism. (shrink)

We define a mathematical formalism based on the concept of an ‘‘open dynamical system” and show how it can be used to model embodied cognition. This formalism extends classical dynamical systems theory by distinguishing a ‘‘total system’’ (which models an agent in an environment) and an ‘‘agent system’’ (which models an agent by itself), and it includes tools for analyzing the collections of overlapping paths that occur in an embedded agent's state space. To illustrate the way this formalism can be (...) applied, several neural network models are embedded in a simple model environment. Such phenomena as masking, perceptual ambiguity, and priming are then observed. We also use this formalism to reinterpret examples from the embodiment literature, arguing that it provides for a more thorough analysis of the relevant phenomena. (shrink)

Philosophical accounts of the constitution relation have been explicated in terms of synchronic relations between higher‐ and lower‐level entities. Such accounts, I argue, are temporally austere or impoverished, and are consequently unable to make sense of the diachronic and dynamic character of constitution in dynamical systems generally and dynamically extended cognitive processes in particular. In this paper, my target domain is extended cognition based on insights from nonlinear dynamics. Contrariwise to the mainstream literature in both analytical metaphysics and extended (...) cognition, I develop a nonstandard, alternative conception of constitution, which I call “diachronic process constitution”. It will be argued that only a diachronic and dynamical conception of constitution is consistent with the nature of constitution in distributed cognitive processes. (shrink)

Traditional approaches to modeling cognitive systems are computational, based on utilizing the standard tools and concepts of the theory of computation. More recently, a number of philosophers have argued that cognition is too subtle or complex for these tools to handle. These philosophers propose an alternative based on dynamical systems theory. Proponents of this view characterize dynamical systems as (i) utilizing continuous rather than discrete mathematics, and, as a result, (ii) being computationally more powerful than traditional computational automata. Indeed, (...) the logical possibility of such super-powerful systems has been demonstrated in the form of analog artificial neural networks. In this paper I consider three arguments against the nomological possibility of these automata. While the first two arguments fail, the third succeeds. In particular, the presence of noise reduces the computational power of analog networks to that of traditional computational automata, and noise is a pervasive feature of information processing in biological systems. Consequently, as an empirical thesis, the proposed dynamical alternative is under-motivated: What is required is an account of how continuously valued systems could be realized in physical systems despite the ubiquity of noise. (shrink)

ABSTRACT Dance requires optimal range-of-motion and cognitive abilities. Mental imagery is a recommended, yet under-researched, training method for enhancing both of these. This study investigated the effect of Dynamic Neuro-Cognitive Imagery (DNI™) training on developpé performance (measured by gesturing ankle height and self-reported observations) and kinematics (measured by hip and pelvic range-of-motion), as well as on dance imagery abilities. Thirty-four university-level dance students (M age = 19.70 + 1.57) were measured performing three developpé tasks (i.e., 4 repetitions, 8 (...) consecutive seconds hold, and single repetition) at three time-points (2 x pre-, 1 x post-intervention). Data were collected using three-dimensional motion capture, mental imagery questionnaires, and subjective reports. Following the DNI™ intervention, significant increases (p <.01) were detected in gesturing ankle height, as well as in hip flexion and abduction range-of-motion, without significant changes in pelvic alignment. These gains were accompanied by self-reported decrease (p <.05) in level of difficulty experienced and significant improvements in kinesthetic (p <.05) and dance (p <.01) imagery abilities. This study provides evidence for the motor and non-motor benefits of DNI™ training in university-level dance students. (shrink)

We analyze the dynamics of repeated interaction of two players in the Prisoner's Dilemma under various levels of interdependency information and propose an instance-based learning cognitive model to explain how cooperation emerges over time. Six hypotheses are tested regarding how a player accounts for an opponent's outcomes: the selfish hypothesis suggests ignoring information about the opponent and utilizing only the player's own outcomes; the extreme fairness hypothesis weighs the player's own and the opponent's outcomes equally; the moderate fairness hypothesis (...) weighs the opponent's outcomes less than the player's own outcomes to various extents; the linear increasing hypothesis increasingly weighs the opponent's outcomes at a constant rate with repeated interactions; the hyperbolic discounting hypothesis increasingly and nonlinearly weighs the opponent's outcomes over time; and the dynamic expectations hypothesis dynamically adjusts the weight a player gives to the opponent's outcomes, according to the gap between the expected and the actual outcomes in each interaction. When players lack explicit feedback about their opponent's choices and outcomes, results are consistent with the selfish hypothesis; however, when this information is made explicit, the best predictions result from the dynamic expectations hypothesis. (shrink)

This aim of this paper is two-fold: it critically analyses and rejects accounts blending active inference as theory of mind and enactivism; and it advances an enactivist-dynamic understanding of social cognition that is compatible with active inference. While some social cognition theories seemingly take an enactive perspective on social cognition, they explain it as the attribution of mental states to other people, by assuming representational structures, in line with the classic Theory of Mind. Holding both enactivism and ToM, we argue, (...) entails contradiction and confusion due to two ToM assumptions widely known to be rejected by enactivism: that social cognition reduces to mental representation and social cognition is a hardwired contentful ‘toolkit’ or ‘starter pack’ that fuels the model-like theorising supposed in. The paper offers a positive alternative, one that avoids contradictions or confusion. After rejecting ToM-inspired theories of social cognition and clarifying the profile of social cognition under enactivism, that is without assumptions and, the last section advances an enactivist-dynamic model of cognition as dynamic, real-time, fluid, contextual social action, where we use the formalisms of dynamical systems theory to explain the origins of socio-cognitive novelty in developmental change and active inference as a tool to demonstrate social understanding as generalised synchronisation. (shrink)

There has been considerable debate in the literature about the relative merits of information processing versus dynamical approaches to understanding cognitive processes. In this article, we explore the relationship between these two styles of explanation using a model agent evolved to solve a relational categorization task. Specifically, we separately analyze the operation of this agent using the mathematical tools of information theory and dynamical systems theory. Information-theoretic analysis reveals how task-relevant information flows through the system to be combined into (...) a categorization decision. Dynamical analysis reveals the key geometrical and temporal interrelationships underlying the categorization decision. Finally, we propose a framework for directly relating these two different styles of explanation and discuss the possible implications of our analysis for some of the ongoing debates in cognitive science. (shrink)