Name
Abstract | ||
|---|---|---|
The following four papers treat various levels of complexity in machine systems which exhibit learning ability. It is perhaps a misnomer to label such devices as "learning machines," since it is not the machine itself, but the program that guides the machine toward its goal, which learns. This topic is unfortunately suggestive of the considerable publicity that has attended the "Giant Brain" ballyhoo directed toward digital systems, but it is not the intention of these four papers to indicate how to make "thinking" machines. The first effort in this direction is a careful definition of "thinking," which no one has yet given. It should be very carefully emphasized that machines may be said to "think" only to the extent that their users and designers have been able to penetrate sufficiently deeply into a problem so that all possible situations which might arise have been examined, and an adequate program written which describes to the machine an unambiguous criterion for its use in each case. Machine operation which results from such subtle programs is then an imitation or simulation of operations which have previously been thought through and established by human beings. |
Year | DOI | Venue |
|---|---|---|
1955 | 10.1145/1455292.1455308 | AFIPS '55 (Western) Proceedings of the March 1-3, 1955, western joint computer conference |
Keywords | DocType | Citations |
considerable publicity,subtle program,possible situation,careful definition,adequate program,machine operation,machine system,human being,giant brain,digital system | Conference | 3 |
PageRank | References | Authors |
0.44 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Willis H. Ware | 1 | 59 | 68.72 |