IDyOT: A Computational Theory of Creativity as Everyday Reasoning from Learned Information

Wiggins, Geraint A. and Forth, Jamie. 2015. IDyOT: A Computational Theory of Creativity as Everyday Reasoning from Learned Information. In: Tarek R. Besold; Marco Schorlemmer and Alan Smaill, eds. Computational Creativity Research: Towards Creative Machines. 7 Paris: Atlantis Press, pp. 127-148. ISBN 9789462390843 [Book Section]

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Abstract or Description

We present progress towards a computational cognitive architecture, IDyOT (Information Dynamics of Thinking) that is intended to account for certain aspects of human creativity and other forms of cognitive processing in terms of a pre-conscious predictive loop. The theory is motivated in terms of the evolutionary pressure to be efficient. It makes several predictions that may be tested by building computational implementations and studying their behaviour.

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Previous work on IDyOM was funded by EPSRC studentship number 00303840 to Marcus Pearce, and EPSRC research grants GR/S82220 and EP/H01294X to Marcus Pearce and the first author. The current work was funded by two project grants from the European Union Framework Programme 7, Lrn2Cre8 and ConCreTe. The projects ConCreTe and Lrn2Cre8 acknowledge the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET grants number 611733 and 610859 respectively.


Conscious Awareness, Conceptual Space, Cognitive Architecture, Perceptual Input, Garden Path

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5 December 2014Published Online

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17 Feb 2023 16:17

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17 Feb 2023 16:17


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