Brian Cantwell Smith

Representation: The Next Generation

Traditionally, computation and cognition have been analyzed in terms of a strong, familiar notion of representation: one involving discrete, conceptual, language-like symbols with an (almost algebraic) syntax, semantically mapped onto an external world with a fixed, given ontology.

Recently, several alternatives have been proposed: as emergent patterns of non-linear dynamical processes, or appropriate behavior in embedding environments. Because they reject the traditional view, these alternatives are often said to be non- (or even anti-) representational.

I believe this characterisation is too narrow. Instead, I will argue, we must reclaim the word 'representation' from the traditionalists, broaden its meaning, and use it to characterize the rich and multiply-textured middle ground among these limiting ideals. Towards this end, I will present a generalised theory of representation: as appropriately stabilized patterns of disconnected coordination. On this view onotology becomes an achievement, not a given.

I will conclude by asking my fellow speakers a question: Is this new view powerful enough to analyze emergent systems and interactive robots?

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