Machine Intelligence 13 ushers in an exciting new phase of
artificial intelligence research, one in which machine learning has
emerged as a hot-bed of new theory, as a practical tool in
engineering disciplines, and as a source of material for cognitive
models of the human brain. Based on the Machine Intelligence
Workshop of 1992, held at Strathclyde University in Scotland, the
book brings together numerous papers from some of the field's
leading researchers to discuss current theoretical and practical
issues. Highlights include a chapter by J.A. Robinson--the founder
of modern computational logic--on the field's great forefathers
John von Neumann and Alan Turing, and a chapter by Stephen
Muggleton that analyzes Turing's legacy in logic and machine
learning. This thirteenth volume in the renowned Machine
Intelligence series remains the best source of information for the
latest developments in the field. All students and researchers in
artificial intelligence and machine learning will want to own a
copy.
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