Intelligence without representation
Artificial Intelligence
The Induction of Dynamical Recognizers
Machine Learning - Connectionist approaches to language learning
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
Computational and dynamical languages for autonomous agents
Mind as motion
Representation and Reality
Modularity in Knowledge Representation and Natural-Language Understanding
Modularity in Knowledge Representation and Natural-Language Understanding
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This paper challenges arguments that systematic patterns of intelligent behavior license the claim that representations must play a role in the cognitive system analogous to that played by syntactical structures in a computer program. In place of traditional computational models, I argue that research inspired by Dynamical Systems theory can support an alternative view of representations. My suggestion is that we treat linguistic and representational structures as providing complex multi-dimensional targets for the development of individual brains. This approach acknowledges the indispensability of the intentional or representational idiom in psychological explanation without locating representations in the brains of intelligent agents.