The nature of cognition is examined by the methods of
experimental cognitive psychology and the theoretical models of
computational psychology. First explained is the nature and
objectives of artificial intelligence, symbolic and connectionist
paradigms, the architecture of cognition, and characteristics of a
general theory of intelligence. Wagman then examines theory and
research in human reasoning and reasoning systems. Experimental
research in deductive and inductive reasoning, the nature of
artificial intelligence reasoning systems, nonmonotonic and
common-sense reasoning, and general types of reasoning in
artificial intelligence are examined. Next the author examines the
nature of human problem solving and problem-solving systems.
Problem representation methods and their duplication by artificial
intelligence is discussed at length. Concepts and research in human
learning and learning systems are also reviewed, as are the nature
of human expertise and expert systems.
Major characteristics of expertise including deep knowledge,
reasoning strategies, and pattern recognition are described and
exemplified in research concerned with medical expertise. The
nature of intelligence and intelligence systems is examined, and
the physical symbol system hypothesis and its results are analyzed.
The author covers an artificial intelligence system that emulates
the cognitive processes in scientific discovery and its
implications for human creativity.
General
Imprint: |
Praeger Publishers Inc
|
Country of origin: |
United States |
Release date: |
February 1993 |
First published: |
February 1993 |
Authors: |
Morton Wagman
|
Dimensions: |
235 x 156 x 12mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
192 |
Edition: |
New |
ISBN-13: |
978-0-275-94302-8 |
Categories: |
Books >
Social sciences >
General
Books >
Computing & IT >
General
|
LSN: |
0-275-94302-X |
Barcode: |
9780275943028 |
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