Reasoning with incomplete information constitutes a major challenge
for any intelligent system. In fact, we expect such systems not to
become paralyzed by missing information but rather to arrive at
plausible results by bridging the gaps in the information
available.
A versatile way of reasoning in the absence of information is to
reason by default. This book aims at providing formal and practical
means for automating reasoning with incomplete information by
starting from the approach taken by the framework of default logic.
For this endeavor, a bridge is spanned between formal semantics,
over systems for default reasoning, to efficient implementation.
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