Abstract
This paper reasons about the need to seek for particular kinds of models of computation that imply stronger computability than the classical models. A possible such a model, constituting a chaotic dynamical system is presented. This model, which we term as the analog shift map, when viewed as a computational model has super-Turing power and is equivalent to neural networks and the class of analog machines. This map may be appropriate to describe natural physical phenomena.
I thank Allen Ponak from the university of Calgary, Jermey Schiff from Bar-Ilan university, and Shmuel Fishman from the Technion for helpful comments.
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Siegelmann, H.T. (1995). Welcoming the super Turing theories. In: Bartosek, M., Staudek, J., Wiedermann, J. (eds) SOFSEM '95: Theory and Practice of Informatics. SOFSEM 1995. Lecture Notes in Computer Science, vol 1012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60609-2_4
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DOI: https://doi.org/10.1007/3-540-60609-2_4
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