The rooting of the mind in the body: new links between attachment theory and psychoanalytic thought

The relationship between psychoanalysis and attachment theory is complex indeed. A brief review of the psychoanalytic literature as it concerns attachment theory and research, and of the attachment literature as it pertains to psychoanalytic ideas, demonstrates an increasing interest in attachment theory within psychoanalysis. Some of the difficulties that attachment theory faces in relation to psychoanalytic ideas are traced to its links to the now dated cognitive science of the 1960s and 1970s. Today, however, a second-generation cognitive neuroscience seeks neurobiologically plausible accounts in which links with brain and body are seen as shaping mind and consciousness, which increasingly are seen as "embodied", as emerging from or serving the needs of a physical being located in a specific time, place, and social context. This idea has also been at the core of much psychoanalytic thinking, which has historically affirmed the rootedness of symbolic thought in sensory, emotional, and enacted experience with objects. Now neurobiological advances supporting the concept of embodied cognition offer an opportunity to forge powerful links between the hitherto separate domains of attachment theory and psychoanalysis. Speculations about the nature of language are presented that emphasize the origin of internal working models (and of representations in general) in early sensorimotor and emotional experiences with a caregiver. It is argued that language and symbolic thought may be phylogenetically and ontogenetically embodied, built on a foundation of gestures and actions, and are thus profoundly influenced by the experience of early physical interaction with the primary object. Finally, the clinical and research implications of these ideas are discussed.     

Extending the classical view of representation

Representation has always been a central part of models in cognitive science, but this idea has come under attack. Researchers advocating the alternative approaches of 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 representational view and these 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.     

Non-representationalist cognitive science and realism

Embodied and extended cognition is a relatively new paradigm within cognitive science that challenges the basic tenet of classical cognitive science, viz. cognition consists in building and manipulating internal representations. Some of the pioneers of embodied cognitive science have claimed that this new way of conceptualizing cognition puts pressure on epistemological and ontological realism. In this paper I will argue that such anti-realist conclusions do not follow from the basic assumptions of radical embodied cognitive science. Furthermore I will show that one can develop a form of realism that reflects rather than just accommodates the core principles of non-representationalist embodied cognitive science.     

A Radical Notion of EmbeddednessA Logically Necessary Precondition for Agency and Self-Awareness

The aim of this essay is to establish the logically necessary preconditions for the existence of self-awareness in an artificial or a natural agent. It examines the terms agent , situated , embodied , embedded , and representation as employed ubiquitously in cognitive science, attempting to clarify their meaning and the limits of their use. It discusses the minimal conditions for an agent's environment constituting a 'world' and rejects most, though not all, types of virtual world. It argues that to qualify as genuinely situated an agent should function in real time within the dynamic world we inhabit, or some close simulacrum of it. It shows that embodied agents will possess or evolve local coordinate systems, or points of view, locating, identifying, and interacting with objects relative to their current position in space-time, and it discusses various types of embodiment, arguing that most current situated and embodied systems are too limited to be candidates for even the most minimal claim to self-identity. It argues that a truly autonomous agent has to be active in its participation with the world, able to synthesize and order its internal representations from its own point of view, and that to do this effectively the agent will have to be embedded. To this end it proposes a six-point definition of embeddedness. Ultimately it argues for a philosophical-cum-cognitive-science model of the self that satisfies essential elements of both sets of definitions of the term.     

A category theory approach to cognitive development

The category theory concept of a commutative diagram is used to construct a model of the way in which symbolic processes are applied to problem solving. The model provides for a relationship between symbolic processes and the problem which depends on structural isomorphism and consistency, but is independent of similarity between symbol elements and problem elements. It is then shown that several different levels of thought can be distinguished within the basic model. More information is needed to assign symbolic processes to a problem in a consistent way with higher-level thought processes than with lower-level processes. These information-processing requirements permit the approximate age of mastery of each level to be predicted, thereby offering an alternate theory of cognitive developmental stages. Two experiments designed to test the theory are reported.     

文化视域下认知心理学范式演进探新

认知科学的发展历程经历了符号范式、联结主范式和具身认知范式的演变。认知心理学范式演变折射出认知心理学研究方式转变和对人的心智探索的深化,同时也反映出关于身心关系实现了从传统的身心二元对立到当下身心一体论的超越;对其文化反思是引领心理学从离身认知到具身认知进程更趋合理化的基础。     

生成认知与具身机能主义的比较——表征的取舍

在具身认知不同的思潮中，生成认知以其激进的观点反对表征和计算主义，可以称之为是具身认知思潮中的最为激进的一部分。另一方面，由于标准认知中表征和计算的解释力和影响力，具身认知诞生出各种不同程度上的“妥协”性理论，其中，以克拉克为代表的具身的“机能主义”为目前具身认知的主流观点。表征尽管在当前阶段中表现出强大的生命力，但依然无法在所有领域中都得到运用。随着表征的改造与发展，未来的激进具身认知工作者应该将更多的精力投入到具身认知与更多学科的融合研究中。     

Multiple levels of inquiry in cognitive science

Summary Gibsonian ecological psychology, symbolic information processing, and connectionist information processing are frequently construed as three competing paradigms or research traditions, each seeking dominance in experimental psychology and in cognitive science generally. There is an important element of truth in this perspective, and any adequate account of the development of experimental psychology over the past 30 years would have to examine seriously how the various conceptual frameworks, experimental endeavors, and social institutions have figured in this conflict. But the goal of this paper is not to characterize the historical dynamics within experimental psychology and cognitive science; rather, it is to consider what sorts of rapprochement is possible. Rapprochement, however, is not sought simply for its own sake or out of an a priori conviction that scientific enterprises should be unified. Spirited controversy between competing traditions is often an important component of progess (Laudan, 1977). Rapprochement has a purpose when alternative theoretical traditions have reached a point when each confronts serious shortcomings that can best be overcome by incorporating alternative perspectives. In this paper I try to show that this is the situation that exists in experimental psychology and cognitve science generally with respect to the three traditions enumerated above. I first explore how cognitive inquiry directed at internal procedures for processing information could benefit from a detailed study of the context of cognition, including insights provided by the Gibsonian tradition. Second, I examine the current controversy between symbolic and connectionist approaches and address the question of what contributions each offers to the other. Finally, I offer a framework in which multiple levels of inquiry in cognitve science can be related.     

Turing's Analysis of Computation and Theories of Cognitive Architecture

Turing's analysis of computation is a fundamental part of the background of cognitive science. In this paper it is argued that a re-interpretation of Turing's work is required to underpin theorizing about cognitive architecture. It is claimed that the symbol systems view of the mind, which is the conventional way of understanding how Turing's work impacts on cognitive science, is deeply flawed. There is an alternative interpretation that is more faithful to Turing's original insights, avoids the criticisms made of the symbol systems approach and is compatible with the growing interest in agent-environment interaction. It is argued that this interpretation should form the basis for theories of cognitive architecture.     

具身双加工观点：解析具身效应的边界条件

为了找出具身效应在认知加工上的边界条件,在综合分析具身理论中的双加工内涵和具身实验研究中的双加工证据基础上,提出了具身双加工观点：具身效应与直觉性的一型加工更为契合,会被反思性的二型加工所抑制。具体而言,抽象思维的发展程度、认知加工的无意识状态、认知负荷和心理冲突性均可能会导致两种加工类型之间的转换,从而调节具身效应。该观点对提高具身实验操控的有效性,解决具身效应的可重复性危机具有指导意义。     

Using Dynamic Field Theory to extend the embodiment stance toward higher cognition

The embodiment stance emphasizes that cognitive processes unfold continuously in time, are constantly linked to the sensory and motor surfaces, and adapt through learning and development. Dynamic Field Theory (DFT) is a neurally based set of concepts that has turned out to be useful for understanding how cognition emerges in an embodied and situated system. We explore how the embodiment stance may be extended beyond those forms of cognition that are closest to sensorimotor processes. The core elements of DFT are dynamic neural fields (DNFs), patterns of activation defined over different kinds of spaces. These may include retinal space and visual feature spaces, spaces spanned by movement parameters such as movement direction and amplitude, or abstract spaces like the ordinal axis along which sequences unfold. Instances of representation that stand for perceptual objects, motor plans, or action intentions are peaks of activation in the DNFs. We show how such peaks may arise from input and are stabilized by intra-field interaction. Given a neural mechanism for instantiation, the neuronal couplings between DNFs implement cognitive operations. We illustrate how these mechanisms can be used to enable architectures of dynamic neural fields to perform cognitive functions such as acquiring and updating scene representations, using grounded spatial language, and generating sequences of actions. Implementing these DFT models in autonomous robots demonstrates how these cognitive functions can be enacted in embodied, situated systems.     

Representation recovers information

Early agreement within cognitive science on the topic of representation has now given way to a combination of positions. Some question the significance of representation in cognition. Others continue to argue in favor, but the case has not been demonstrated in any formal way. The present paper sets out a framework in which the value of representation use can be mathematically measured, albeit in a broadly sensory context rather than a specifically cognitive one. Key to the approach is the use of Bayesian networks for modeling the distal dimension of sensory processes. More relevant to cognitive science is the theoretical result obtained, which is that a certain type of representational architecture is necessary for achievement of sensory efficiency. While exhibiting few of the characteristics of traditional, symbolic encoding, this architecture corresponds quite closely to the forms of embedded representation now being explored in some embedded/embodied approaches. It becomes meaningful to view that type of representation use as a form of information recovery. A formal basis then exists for viewing representation not so much as the substrate of reasoning and thought, but rather as a general medium for efficient, interpretive processing.     

ASTROPHYSICS AND CREATION: PERCEIVING THE UNIVERSE THROUGH SCIENCE AND PARTICIPATION

I explore how the notion of divine creation could be made understandable in a worldview dominated by empirical science. The crucial question concerns the empirical basis of belief in creation. Astronomical observations have changed our worldview in an exemplary manner. I show by an example from imaginative literature that human beings can perceive stars by means other than astronomical observation. This alternative mode may be described as “participatory perception,” in which a human experiences the world not by objectifying separation as in science, but by personal involvement. I relate such perceptions to “embodied cognitive science,” a topical interdisciplinary field of research in philosophy, psychology, and neuroscience. Embodied cognitions initiate processes that can convey personal experiences of the stars. Such cognitions may involve religious apprehensions and give rise to sophisticated values. It is argued that the knowledge available through astrophysics and interpretation of the universe as divine creation represent two different ways of perceiving the same reality and should thus be seen as mutually complementary.     

Concepts as Semantic Pointers: A Framework and Computational Model

The reconciliation of theories of concepts based on prototypes, exemplars, and theory‐like structures is a longstanding problem in cognitive science. In response to this problem, researchers have recently tended to adopt either hybrid theories that combine various kinds of representational structure, or eliminative theories that replace concepts with a more finely grained taxonomy of mental representations. In this paper, we describe an alternative approach involving a single class of mental representations called “semantic pointers.” Semantic pointers are symbol‐like representations that result from the compression and recursive binding of perceptual, lexical, and motor representations, effectively integrating traditional connectionist and symbolic approaches. We present a computational model using semantic pointers that replicates experimental data from categorization studies involving each prior paradigm. We argue that a framework involving semantic pointers can provide a unified account of conceptual phenomena, and we compare our framework to existing alternatives in accounting for the scope, content, recursive combination, and neural implementation of concepts.     

Symbolic representation of probabilistic worlds

Symbolic representation of environmental variables is a ubiquitous and often debated component of cognitive science. Yet notwithstanding centuries of philosophical discussion, the efficacy, scope, and validity of such representation has rarely been given direct consideration from a mathematical point of view. This paper introduces a quantitative measure of the effectiveness of symbolic representation, and develops formal constraints under which such representation is in fact warranted. The effectiveness of symbolic representation hinges on the probabilistic structure of the environment that is to be represented. For arbitrary probability distributions (i.e., environments), symbolic representation is generally not warranted. But in modal environments, defined here as those that consist of mixtures of component distributions that are narrow ("spiky") relative to their spreads, symbolic representation can be shown to represent the environment with a relatively negligible loss of information. Modal environments support propositional forms, logical relations, and other familiar features of symbolic representation. Hence the assumption that our environment is, in fact, modal is a key tacit assumption underlying the use of symbols in cognitive science.     

Dynamical approaches to cognitive science

Dynamical ideas are beginning to have a major impact on cognitive science, from foundational debates to daily practice. In this article, I review three contrasting examples of work in this area that address the lexical and grammatical structure of language, Piaget's classic 'A-not-B' error, and active categorical perception in an embodied, situated agent. From these three examples, I then attempt to articulate the major differences between dynamical approaches and more traditional symbolic and connectionist approaches. Although the three models reviewed here vary considerably in their details, they share a focus on the unfolding trajectory of a system's state and the internal and external forces that shape this trajectory, rather than the representational content of its constituent states or the underlying physical mechanisms that instantiate the dynamics. In some work, this dynamical viewpoint is augmented with a situated and embodied perspective on cognition, forming a promising unified theoretical framework for cognitive science broadly construed.     

从数量表征到数表征：具身认知视角下的人类数能力获得

数能力是数学认知的基本成分。与动物所具有的基本数能力不同,人类不仅具备数量表征能力,更重要的是还拥有对数概念进行表征的数表征能力。虽然具身认知与离身认知都对数概念的表征问题进行了解释,但二者却存在明显理论分歧。具身认知观点主要从具身数量表征和数能力发展的具身认知机制两方面为人类独特数能力的获得提供了理论支撑及实证证据。这启示人们需要重视具身学习在数能力形成实践中的关键作用,重视具身数量表征在数学教学中的作用,仍需进一步揭示其内在的心理和神经基础。     

具身-生成的认知科学：走出“战国时代”

具身-生成取向正在引领当代认知科学加速发展,然而学术界在理解“具身-生成”的内涵上却正陷入“战国时代”,这严重影响了该取向的理论效力.通过分析来自交叉学科的相关证据,发现“具身”与“生成”既有联系,又有区别,两者相互支撑.具身认知主要考察嵌入在社会情境中的身体结构、活动、内容与形式对认知活动的影响.“生成”强调认知结构在大脑、身体与环境的结构性耦合中涌现出来的动态机制,尤其是知觉-行动环路的作用.未来,具身-生成的认知科学只有在应对来自经典认知科学的挑战过程中才有可能走出“战国时代”.     

Descartes's Regulae, mathematics, and modern psychology: "the Noblest example of all" in Light of Turing's (1936) On computable Numbers

There are surprisingly strong connections between the philosophy of mind and the philosophy of mathematics. One particular important example can be seen in the Regulae (1628) of Descartes. In "the noblest example of all," he used his new abstract understanding of numbers to demonstrate how the brain can be considered as a symbol machine and how the intellect's algebraic reasoning can be mirrored as operations on this machine. Even though his attempt failed, it is illuminating to explore it because Descartes launched 2 traditions--mechanistic philosophy of mind and abstract mathematics--that would diverge until A. Turing (1936) approached symbolic reasoning in a similar "symbol machine-existence proof" way. Descrates's and Turing's thought experiments, which mark the beginning of modern psychology and cognitive science, respectively, indicate how important the development of mathematics has been for the constitution of the science of mind.     

Situated Action: A Symbolic Interpretation

The congeries of theoretical views collectively referred to as “situated action” (SA) claim that humans and their interactions with the world cannot be understood using symbol-system models and methodology, but only by observing them within real-world contexts or building nonsymbolic models of them. SA claims also that rapid, real-time interaction with a dynamically changing environment is not amenable to symbolic interpretation of the sort espoused by the cognitive science of recent decades. Planning and representation, central to symbolic theories, are claimed to be irrelevant in everyday human activity. We will contest these claims, as well as their proponents' characterizations of the symbol-system viewpoint. We will show that a number of existing symbolic systems perform well in temporally demanding tasks embedded in complex environments, whereas the systems usually regarded as exemplifying SA are thoroughly symbolic (and representational), and, to the extent that they are limited in these respects, have doubtful prospects for extension to complex tasks. As our title suggests, we propose that the goals set forth by the proponents of SA can be attained only within the framework of symbolic systems. The main body of empirical evidence supporting our view resides in the numerous symbol systems constructed in the past 35 years that have successfully simulated broad areas of human cognition.