Artificial intelligence: the very idea
Artificial intelligence: the very idea
Connectionism and cognitive architecture: a critical analysis
Connections and symbols
Microcognition: philosophy, cognitive science, and parallel distributed processing
Microcognition: philosophy, cognitive science, and parallel distributed processing
Recursive distributed representations
Artificial Intelligence - On connectionist symbol processing
The computational brain
Software engineering (5th ed.)
Software engineering (5th ed.)
Language acquisition from sparse input without error feedback
Neural Networks
Strong Semantic Systematicity from Hebbian Connectionist Learning
Minds and Machines
The problem of rapid variable creation
Neural Computation
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In the late 1980s, there were many who heralded the emergence of connectionism as a new paradigm – one which would eventually displace the classically symbolic methods then dominant in AI and Cognitive Science. At present, there remain influential connectionists who continue to defend connectionism as a more realistic paradigm for modeling cognition, at all levels of abstraction, than the classical methods of AI. Not infrequently, one encounters arguments along these lines: given what we know about neurophysiology, it is just not plausible to suppose that our brains are digital computers. Thus, they could not support a classical architecture. I argue here for a middle ground between connectionism and classicism. I assume, for argument‘s sake, that some form(s) of connectionism can provide reasonably approximate models – at least for lower-level cognitive processes. Given this assumption, I argue on theoretical and empirical grounds that most human mental skills must reside in separate connectionist modules or ’sub-networks‘. Ultimately, it is argued that the basic tenets of connectionism, in conjunction with the fact that humans often employ novel combinations of skill modules in rule following and problem solving, lead to the plausible conclusion that, in certain domains, high level cognition requires some form of classical architecture. During the course of argument, it emerges that only an architecture with classical structure could support the novel patterns of information flow and interaction that would exist among the relevant set of modules. Such a classical architecture might very well reside in the abstract levels of a hybrid system whose lower-level modules are purely connectionist.