Co-designing the computational model and the computing substrate

Research output: Contribution to conferencePaper


Given a proposed unconventional computing substrate, we can ask: Does it actually compute? If so, how well does it compute? Can it be made to compute better? Given a proposed unconventional computational model we can ask: How powerful is the model? Can it be implemented in a substrate? How faithfully or efficiently can it be implemented? Given complete freedom in the choice of model and substrate, we can ask: Can we co-design a model and substrate to work well together?

Here I propose an approach to posing and answering these questions, building on an existing definition of physical computing and framework for characterising the computing properties of given substrates.
Original languageEnglish
Number of pages10
Publication statusPublished - 2019
EventUCNC 2019, Tokyo, Japan, June 2019 - Tokyo, Japan
Duration: 3 Jun 20197 Jun 2019


ConferenceUCNC 2019, Tokyo, Japan, June 2019
Internet address

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