This book provides a systematic and comprehensive description of
Non-Axiomatic Logic, which is the result of the author's research
for about three decades.Non-Axiomatic Logic is designed to provide
a uniform logical foundation for Artificial Intelligence, as well
as an abstract description of the "laws of thought" followed by the
human mind. Different from "mathematical" logic, where the focus is
the regularity required when demonstrating mathematical
conclusions, Non-Axiomatic Logic is an attempt to return to the
original aim of logic, that is, to formulate the regularity in
actual human thinking. To achieve this goal, the logic is designed
under the assumption that the system has insufficient knowledge and
resources with respect to the problems to be solved, so that the
"logical conclusions" are only valid with respect to the available
knowledge and resources. Reasoning processes according to this
logic covers cognitive functions like learning, planning, decision
making, problem solving, etc.This book is written for researchers
and students in Artificial Intelligence and Cognitive Science, and
can be used as a textbook for courses at graduate level, or
upper-level undergraduate, on Non-Axiomatic Logic.
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