The Connectionist Dilemma

The connectionist approach to cognitive science is impaled on the horns of a dilemma: it is either inadequate as a theory of mind, or else it is an implementation of the classical architecture (see detailed text).

Either: connectionism can’t account for systematicity and related phenomena (productivity, compositionality, and inferential coherence),

In which case: connectionism is inadequate as a theory of cognition.
 
Or, connectionism accounts systematicity and related phenomena by using structured representations,

In which case: connectionism is a mere implementation of the classical architecture.
 
In either case:

The mind cannot be, in its general structure, a connectionist network”, (Fodor & Pylyshyn, 1988, p.33), and the  classical symbolic paradigm is still the best explanation of mind.

Jerry Fodor & Zenon Pylyshyn (1988) and Jerry Fodor & Brian McLoughlin (1990).

Spectrum of Positions—Implementationalism
 
Implementationalism: The mind, in its general structure, is a symbolic processor. Connectionism is only useful as a theory of how those symbolic processes are implemented in the brain. Proponents include:, Jerry Fodor, Zenon Pylyshyn, and Brian McLaughlin.

Revisionism: Symbolic accounts of mind will be exactly correct, after they have been revised on the basis of insights from connectionism. This position has been articulated by several authors but has not been explicitly endorsed by anyone.

Hybridism: Cognitive researchers should develop hybrid models that incorporate aspects of symbolic and connectionist architectures. This position is usually taken as a practical approach to modelling, not as a philosophical standpoint. Proponents: Stan Kwasney, Kannaan Faisal, Trent Lange and Michael Dyer.

Eliminativism: Connectionism and neuroscience capture all important aspects of mind. High-level symbolic accounts of the mind should be eliminated from cognitive science. Proponents: Stephen Stich, Patricia Churchland and Paul Churchland.

Cohabitationism: Connectionist and symbolic architectures cohabitate the mind. Connectionist networks perform low-level perceptual and motor tasks, which interface with a simple processor of the mind. Proponents: John Barnden and Walter Schneider.

Ecumenicalism: It is necessary to incorporate “Everything that works” as we develop theories of mind. Connectionism, symbolicism, neuroscience, and perhaps other approaches will contribute to our understanding of how the mind operates. Ecumenicalism has been called “theoretical pluralism” by William James. Proponents: Eric Dietrich and Chris Field, Robert van Gulick, Jay Rosenberg, and Gregory Stone.

Limitivism: Symbolic processes are approximations of lower-level symbolic (connectionist) activity, which is an abstraction from biological processes in the brain. Proponents: Paul Smolensky.

Neural Eliminativism: The only relevant level of description of the mind is at the neural level. Even the connectionist and sub-symbolic accounts should be eliminated. Proponents: Walter Freeman (to some extent).

Notes: These positions are discussed by Dinsmore (1992),  Paul Smolensky (1998b, pp. 59-62), and Pinker and Prince (1988, pp.75-78).

Few theorists or researchers explicitly position themselves along the spectrum. Many fall into more than one of these categories or lie somewhere on the borders between them.





RELATED ARTICLESExplain
Artificial Intelligence
Can computers think? [1]
Yes: connectionist networks can think [5a]
The Connectionist Dilemma
Burden of proof is on connectionism
Connectionism is associationism
Cognition isn’t always systematic
Connectionist machines possess compositional semantics
Connectionist representations avoid the dilemma
Systematicity explained by natural selection
Systematicity is a conceptual not empirical law
Systematicity not enough to argue for classicism
The Three-Concept Monte
Jerry Fodor
Zenon Pylyshyn
Model doesn't argue against rule-based explanation
Connectionist networks can think without following rules
The Connectionist Biological Assumption
The Subsymbolic Paradigm
Connectionist computers lack commonsense
Connectionist networks are formal systems
Connectionists fall into a computational mindset
One-layer perceptrons can’t compute certain functions
Graph of this discussion
Enter the title of your article


Enter a short (max 500 characters) summation of your article
Enter the main body of your article
Lock
+Comments (0)
+Citations (0)
+About
Enter comment

Select article text to quote
welcome text

First name   Last name 

Email

Skip