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Chapter
1: Introduction (92 KB)
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.
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