Abstract
It is sometimes useful to know that we can safely reason as though something were true, even when it almost certainly is not. This talk will survey instances of this phenomenon in computer science and molecular programming.
This research was supported in part by National Science Foundation grant 1143830. Part of it was carried out during a sabbatical at Caltech and the Isaac Newton Institute for Mathematical Sciences at the University of Cambridge.
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© 2012 Springer-Verlag Berlin Heidelberg
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Lutz, J.H. (2012). Reasoning As Though. In: Durand-Lose, J., Jonoska, N. (eds) Unconventional Computation and Natural Computation. UCNC 2012. Lecture Notes in Computer Science, vol 7445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32894-7_4
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DOI: https://doi.org/10.1007/978-3-642-32894-7_4
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