![]() Exist there more expeditious methods? In the process of trying to imitate an adult human mind we are bound to think a good deal about the process which has brought it to the state that it is in. At my present rate of working I produce about thousand digits of programme a day, so that about sixty workers working steadily through fifty years might accomplish the work. ![]() Estimates of the storage capacity of the brain vary from to binary digits…I should be surprised if more than 109 was required for playing the imitation game. The purely behaviorist definition of intelligence not a good idea!Įvidence The problem is mainly one of programming. ![]() Turing’s Construction Turing on learning and evolution Turing and neural networks Discipline and initiative Von Neumann’s Logical Theory of Automata McCulloch Pitts theory Complication and self-reproductionģ Outline Discussion of the Proposals Memory Capacity of the Brainĭartmouth Proposal Summer School 1955 Artificial Intelligence 2006 Meta-Learning Common Sense of the Machine Conclusions and Outlook No philosophical discussion of the possibility of machine intelligence!Ĥ Introduction Parallel to the design of the first electronic computers, both Alan Turing and John von Neumann speculated about non-numeric (intelligent) applications of these computers Alan Turing: Computing Machinery and Intelligence (1950) Intelligent Machinery (1969) John von Neumann: The General and Logical Theory of Automata(1948) What are the major ideas? What are the major problems of the design?Ĭan machines think ? Replaced by an imitation game (A) machine, (B) human : (C) interrogator Bold answer: I believe that in about fifty years time it will be possible to programme computers with a storage capacity of about 109 bits to make them play the imitation game so well that an average interrogator will not have more than 70% chance of making the right identification after five minutes of questioning. Artificial Intelligence and Neural Networks The Legacy of Alan Turing and John von Neumann Heinz Mühlenbein Fraunhofer AISĢ Outline Introduction Turing and Machine Intelligence ![]()
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