Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!iuvax!uxc.cso.uiuc.edu!uxc.cso.uiuc.edu!ux1.cso.uiuc.edu!kolmogorov!ari From: ari@kolmogorov.physics.uiuc.edu Newsgroups: comp.ai Subject: Re: Turing Machines Message-ID: <11400002@kolmogorov> Date: 5 Aug 89 03:00:00 GMT References: <862@ciss.Dayton.NCR.COM> Lines: 25 Nf-ID: #R:ciss.Dayton.NCR.COM:862:kolmogorov:11400002:000:1260 Nf-From: kolmogorov.physics.uiuc.edu!ari Aug 4 22:00:00 1989 Turing machines are minimal machines. It was axiomatized in the simplest way to determine the properties of computation. Turing machines are asymptotically equivalent to any known serial computer. You wouldn't want to program or use such a machine, but its simple properties make it possible to prove certain problems "effectively uncomputable". If a problem is effectively uncomputable for a Turing machine, it is also true for most of our modern computers as they currently are. Some of these ideas have extended to understanding what is provable and unprovable, and equivalenced to Godel incompleteness Theorem. There are problems or decision problems which cannot be effectively computed. This is ultimately connected with the idea that consistent axiomatic systems are not complete (Cannot prove all true statments). A good book in this field seems to be "Computability and Unsolvability" by Martin Davis. (A Dover Text). It has been a while since I read this material, and I am not sure how much of it is considered "current" in AI, but the theorems and ideas in the text are timeless. ari Aritomo Shinozaki ari@kolmogorov.physics.uiuc.edu Loomis Laboratory of Physics (217)-244-1744 University of Illinois, Urbana-Champaign Urbana IL, 61801