Abstract
The way in which artificial intelligence has developed over the last 50 years has had a major role in shaping cognitive science as it is today. This has generated computational models of behaviour. The connectionist revival of the 1980s added a tinge of neurodynamics to this. Here I suggest that some post-connectionist work in artificial intelligence is turning towards an understanding and formalisation of the mechanisms of brain architectures which contribute to an emergence of cognition providing a closer link between brain mechanisms and experienced brain states. This even addresses the neurological basis of consciousness.
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Acknowledgements
The author is grateful to the Wellcome Trust for having provided a Showcase award to study ‘What’s it like to have a mental deficit?’ and to the Leverhulme Trust for funding work on ‘Depiction in Vision and Language’.
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Aleksander, I. Emergence from brain architectures: a new cognitive science?. Cogn Process 5, 10–14 (2004). https://doi.org/10.1007/s10339-003-0001-z
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DOI: https://doi.org/10.1007/s10339-003-0001-z