Description
Nonmonotonic Logic provides a thorough exploration of logical systems that deviate from classical monotonic reasoning, where adding new premises never invalidates previous conclusions. This element examines the fundamental principles underlying nonmonotonic approaches, including default logic, circumscription, and belief revision theory.
The book addresses how these systems model real-world reasoning where agents must draw conclusions from incomplete information and adapt their beliefs as new evidence emerges. Christian Straßer discusses the motivations for nonmonotonic logic, its formal semantics, and its relationship to artificial intelligence and knowledge representation.
Ideal for students and researchers in philosophy, logic, and computer science, this accessible yet rigorous treatment covers key frameworks and their applications in practical reasoning scenarios.
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