Networks with Attitudes

Artificial Intelligence and Society 22 (3):461-470 (2007)
Abstract
Does connectionism spell doom for folk psychology? I examine the proposal that cognitive representational states such as beliefs can play no role if connectionist models - - interpreted as radical new cognitive theories -- take hold and replace other cognitive theories. Though I accept that connectionist theories are radical theories that shed light on cognition, I reject the conclusion that neural networks do not represent. Indeed, I argue that neural networks may actually give us a better working notion of cognitive representational states such as beliefs, and in so doing give us a better understanding of how these states might be instantiated in neural wetware.
Keywords folk psychology  belief  connectionism  neural networks  representation
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    References found in this work BETA
    Jeffrey L. Elman (1990). Finding Structure in Time. Cognitive Science 14 (2):179-211.

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    George Botterill (1994). Beliefs, Functionally Discrete States, and Connectionist Networks. British Journal for the Philosophy of Science 45 (3):899-906.
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