In this paper we examine an enactive approach to social cog- nition, a species of radical embodied cognition typically pro- posed as an alternative to traditional cognitive science. Ac- cording to enactivists, social cognition is best explained by reference to the social unit rather than the individuals that par- ticipate in it. We identify a methodological problem in this approach, namely a lack of clarity with respect to the model of explanation it adopts. We review two complaints about a mechanistic explanatory framework, popular in traditional cognitive science, that prevent enactivists from embracing it. We argue that these complaints are unfounded and propose a conceptual model of enactive mechanistic explanation of so- cial cognition.

Key words: enactivism, social cognition, mechanistic expla- nation

Excerpt: This brief chapter will focus on two types of arguments for extended cognition inspired by Clark and Chalmers (1998). First, there has been the thought that cognition extends when processes in the brain, body, and world are suitably similar to processes taking place in the brain. We might describe these as cognitive equivalence arguments for extended cognition. Second, there has been the thought that, when there is the right kind of causal connection between a cognitive process and bodily and environmental processes, cognitive processes come to be realized by processes in the brain, body, and world. We might describe these as coupling arguments for extended cognition. What critics have found problematic are the kinds of similarity relations that have been taken to be applicable or suitable for concluding that there is extended cognition and the conditions that have been offered as providing the right kind of causal connection.

Many cognitive scientists have recently championed the thesis that cognition is embodied. In principle, explicating this thesis should be relatively simple. There are, essentially, only two concepts involved: cognition and embodiment. After articulating what will here be meant by ‘embodiment’, this paper will draw attention to cases in which some advocates of embodied cognition apparently do not mean by ‘cognition’ what has typically been meant by ‘cognition’. Some advocates apparently mean to use ‘cognition’ not as a term for one, among many, causes of behavior, but for what has more often been called “behavior.” Some consequences for this proposal are considered.

Key words: Behavior, Chemero, Chomsky, Clark, Cognition, Dennett, Embodied Cognition, Haugeland, Maturana, Skinner

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.

To accept that cognition is embodied is to question many of the beliefs traditionally held by cognitive scientists. One key question regards the localization of cognitive faculties. Here we argue that for cognition to be embodied and sometimes embedded, means that the cognitive faculty cannot be localized in a brain area alone. We review recent research on neural reuse, the 1/f structure of human activity, tool use, group cognition, and social coordination dynamics that we believe demonstrates how the boundary between the different areas of the brain, the brain and body, and the body and environment is not only blurred but indeterminate. In turn, we propose that cognition is supported by a nested structure of task‐specific synergies, which are softly assembled from a variety of neural, bodily, and environmental components (including other individuals), and exhibit interaction dominant dynamics.

Key words: embodied cognition, dynamic systems, social coordination, modularity, faculty psychology

Upshot: Are narratives systems on their own, or rather structures supporting and, if need be, subverting the reproduction of systems? Bruce Clarke inquires into the ability of social systems theory to help understand narratives - and comes across some “mysteries of cognition” concerning the questions of how systems emerge and which of them might be considered self-referential and autopoietic.

Maturana and Varela’s notion of autopoiesis has the potential to transform the conceptual foundation of biology as well as the cognitive, behavioral, and brain sciences. In order to fully realize this potential, however, the concept of autopoiesis and its many consequences require significant further theoretical and empirical development. A crucial step in this direction is the formulation and analysis of models of autopoietic systems. This article sketches the beginnings of such a project by examining a glider from Conway’s game of life in autopoietic terms. Such analyses can clarify some of the key ideas underlying autopoiesis and draw attention to some of the central open issues. This article also examines the relationship between an autopoietic perspective on cognition and recent work on dynamical approaches to the behavior and cognition of situated, embodied agents. Relevance: The article focuses on the theory of autopoiesis and related concepts such as structural coupling and cognitive domain.

Models of cognition and language currently in use as frameworks for computer applications present a clear disequilibrium: they neglect productive mental activities, as for instance synthesis, and over-estimate receptive ones, as analysis. The paper focuses on the Kantian concept of object-synthesis as a basic mental mechanism and underlines its importance for an equilibrated model of cognitive processing. Integration of the Kantian approach with Ceccato’s model of mental operations could allow to implement synthetic operations in computer applications. A syntactic parser (von Glasersfeld and Pisani, 1970) which implements Ceccato’s approach to cognition, semantics and linguistics is reproposed to the attention of AI researchers: it could be used as a basis for a modern implementation of object-synthesis in knowledge representation and natural language processing.

Living systems employ several mechanisms and behaviors to achieve robustness and maintain themselves under changing internal and external conditions. Regulation stands out from them as a specific form of higher-order control, exerted over the basic regime responsible for the production and maintenance of the organism, and provides the system with the capacity to act on its own constitutive dynamics. It consists in the capability to selectively shift between different available regimes of self-production and self-maintenance in response to specific signals and perturbations, due to the action of a dedicated subsystem which is operationally distinct from the regulated ones. The role of regulation, however, is not exhausted by its contribution to maintain a living system’s viability. While enhancing robustness, regulatory mechanisms play a fundamental role in the realization of an autonomous biological organization. Specifically, they are at the basis of the remarkable integration of biological systems, insofar as they coordinate and modulate the activity of distinct functional subsystems. Moreover, by implementing complex and hierarchically organized control architectures, they allow for an increase in structural and organizational complexity while minimizing fragility. Finally, they endow living systems, from their most basic unicellular instances, with the capability to control their own internal dynamics to adaptively respond to specific features of their interaction with the environment, thus providing the basis for the emergence of minimal forms of cognition.

Key words: regulation, control, functional integration, organization, autonomy, cognition.