Introduction

Author(s):  
Ezequiel A. Di Paolo ◽  
Thomas Buhrmann ◽  
Xabier E. Barandiaran

For the last two decades, research in cognitive science has increasingly turned toward notions of embodiment and situatedness. Some approaches also foreground the relevance of personal experience and embodied action in forming the basis of sense-making. In particular, “enactivist” perspectives have started to make a profound change in the way we conceive our minds as animate and embodied, as opposed to brain-bound information processing architectures. Braiding phenomenology, cognitive science, and dynamical systems theory, enactivism offers a series of proposals for understanding the sensorimotor basis of cognition, and introduces the concept of sensorimotor life. This chapter presents the broad motivations for these proposals and situates them within their broader scientific and philosophical contexts.

2002 ◽  
Vol 25 (5) ◽  
pp. 639-640
Author(s):  
David Spurrett

Shanker & King (S&K) trumpet the adoption of a “new paradigm” in communication studies, exemplified by ape language research. Though cautiously sympathetic, I maintain that their argument relies on a false dichotomy between “information” and “dynamical systems” theory, and that the resulting confusion prevents them from recognizing the main chance their line of thinking suggests.


Author(s):  
Marco Giunti

A cognitive system is any real system that has some cognitive property. Therefore, cognitive systems are a special type of K-systems (see chapter 3, section 3). Note that this definition includes both natural systems such as humans and other animals, and artificial devices such as robots, implementations of AI (artificial intelligence) programs, some implementations of neural networks, etc. Focusing on what all cognitive systems have in common, we can state a very general but nonetheless interesting thesis: All cognitive systems are dynamical systems. Section 2 explains what this thesis means and why it is (relatively) uncontroversial. It will become clear that this thesis is a basic methodological assumption that underlies practically all current research in cognitive science. The goal of section 3 is to contrast two styles of scientific explanation of cognition: computational and dynamical. Computational explanations are characterized by the use of concepts drawn from computation theory, while dynamical explanations employ the conceptual apparatus of dynamical systems theory. Further, I will suggest that all scientific explanations of cognition might end up sharing the same dynamical style, for dynamical systems theory may well turn out to be useful in the study of all types of models currently employed in cognitive science. In particular, a dynamical viewpoint might even benefit those scientific explanations of cognition which are based on symbolic models. Computational explanations of cognition, by contrast, can only be based on symbolic models or, more generally, on any other type of computational model. In particular, those scientific explanations of cognition which are based on an important class of connectionist models cannot be computational, for this class of models falls beyond the scope of computation theory. Arguing for this negative conclusion requires the formal explication of the concept of a computational system that I gave in chapter 1 (see definition 3). Finally, section 4 explores the possibility that scientific explanations of cognition might be based on Galilean models of cognitive systems (see chapter 3, section 5). Most cognitive scientists have not yet considered this possibility. The goals of this section are to contrast this proposal with the current modeling practice in cognitive science, to make clear its potential benefits, and to indicate possible ways to implement it.


2014 ◽  
Vol 1 ◽  
pp. 513-514
Author(s):  
S. Massar ◽  
Y. Paquot ◽  
F. Duport ◽  
A. Smerieri ◽  
M. Massar ◽  
...  

2021 ◽  
Vol 31 (5) ◽  
pp. 053110
Author(s):  
Christophe Letellier ◽  
Ralph Abraham ◽  
Dima L. Shepelyansky ◽  
Otto E. Rössler ◽  
Philip Holmes ◽  
...  

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