Extended functionalism, radical enactivism, and the autopoietic theory of cognition: prospects for a full revolution in cognitive science

2017 ◽  
Vol 17 (4) ◽  
pp. 719-739 ◽  
Author(s):  
Mario Villalobos ◽  
David Silverman
2017 ◽  
Vol 18 (1) ◽  
pp. 54-83 ◽  
Author(s):  
Klaus Gärtner ◽  
Robert W. Clowes

AbstractAccording to Enactivism, cognition should be understood in terms of a dynamic interaction between an acting organism and its environment. Further, this view holds that organisms do not passively receive information from this environment, they rather selectively create this environment by engaging in interaction with the world. Radical Enactivism adds that basic cognition does so without entertaining representations and hence that representations are not an essential constituent of cognition. Some proponents think that getting rid of representations amounts to a revolutionary alternative to standard views about cognition. To emphasize the impact, they claim that this ‘radicalization’ should be applied to all enactivist friendly views, including, another current and potentially revolutionary approach to cognition: predictive processing. In this paper, we will show that this is not the case. After introducing the problem (section 2), we will argue (section 3) that ‘radicalizing’ predictive processing does not add any value to this approach. After this (section 4), we will analyze whether or not radical Enactivism can count as a revolution within cognitive science at all and conclude that it cannot. Finally, in section 5 we will claim that cognitive science is better off when embracing heterogeneity.


2017 ◽  
Vol 25 (3) ◽  
pp. 117-128 ◽  
Author(s):  
Mario Villalobos ◽  
Joe Dewhurst

Post-cognitive approaches to cognitive science, such as enactivism and autopoietic theory, are typically assumed to involve the rejection of computationalism. We will argue that this assumption results from the conflation of computation with the notion of representation, which is ruled out by the post-cognitivist rejection of cognitive realism. However, certain theories of computation need not invoke representation, and are not committed to cognitive realism, meaning that post-cognitivism need not necessarily imply anti-computationalism. Finally, we will demonstrate that autopoietic theory shares a mechanistic foundation with these theories of computation, and is therefore well-equipped to take advantage of these theories.


2020 ◽  
Vol 43 ◽  
Author(s):  
Charles P. Davis ◽  
Gerry T. M. Altmann ◽  
Eiling Yee

Abstract Gilead et al.'s approach to human cognition places abstraction and prediction at the heart of “mental travel” under a “representational diversity” perspective that embraces foundational concepts in cognitive science. But, it gives insufficient credit to the possibility that the process of abstraction produces a gradient, and underestimates the importance of a highly influential domain in predictive cognition: language, and related, the emergence of experientially based structure through time.


2003 ◽  
Vol 48 (6) ◽  
pp. 745-748 ◽  
Author(s):  
Michael Mahoney
Keyword(s):  

1995 ◽  
Vol 40 (9) ◽  
pp. 839-840
Author(s):  
James S. Uleman

1985 ◽  
Vol 30 (9) ◽  
pp. 692-693
Author(s):  
Keith Rayner
Keyword(s):  

1985 ◽  
Vol 30 (6) ◽  
pp. 493-494
Author(s):  
Jane Grimshaw
Keyword(s):  

1984 ◽  
Vol 29 (5) ◽  
pp. 384-385
Author(s):  
Steven R. Yussen
Keyword(s):  

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