|Intelligence: intelligence is generally, the ability of solving problems mentally. A large number of components are involved, which makes a strict definition of intelligence impossible. Typical problems are pattern recognition, continuation of sequences, paraphrasing of language utterances. See also computation, artificial intelligence, strong artificial intelligence, thinking, knowledge, understanding, memory, psychology._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. |
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|Allen Newell/Herbert A. Simon Computerwissenschaft als empirische Forschung (1976) in Dieter Münch (Hrsg.) Kognitionswissenschaft Frankfurt 1992
Münch I 57ff
Intelligence/Newell/Simon: there is as little a "principle of intelligence" as there is a "principle of life", which explains the essence of life from its very nature. But that is not that there are no structural requirements for intelligence.
Münch I 69
General Problem Solver/Newell/Simon: (GPS) general mechanisms, schemes, for performing different tasks. Distinction nets, pattern recognition mechanisms, syntax analysis.
Münch I 76
Definition Intelligence/Newell/Simon: a system with limited processing capacity is to make wise decisions in the face of what is next to be done.
Prerequisite: the solution distribution must not be completely random! Pure insertion and testing is not intelligent.
Origin of intelligence is nothing mystic: it comes from search trees._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution.
D. Münch (Hrsg.)
Kognitionswissenschaft Frankfurt 1992