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Abstract

How to search the space of programs for a code that solves a given problem? Standard asymptotically optimal Universal Search orders programs by Levin complexity, implementing an exponential trade-off between program length and runtime. Depending on the problem, however, sometimes we may have a good reason to greatly favor short programs over fast ones, or vice versa. Frontier Search is a novel framework applicable to a wide class of such trade-offs between program size and runtime, and in many ways more general than previous work. We analyze it in depth and derive exact conditions for its applicability.

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APA

Yi, S., Glasmachers, T., Schaul, T., & Schmidhuber, J. (2010). Frontier search. In Artificial General Intelligence - Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010 (pp. 158–163). https://doi.org/10.2991/agi.2010.25

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