This book explores the concept of negation, a key logical notion studied across various fields. It features contributions from leading scholars, organized into four thematic parts. Topics include models, relevance, and impossibility, with discussions on different characterizations and classifications of negation, highlighting its significance in logical systems.
The second edition of this influential handbook on philosophical logic reflects over 15 years of advancements since the first edition. It continues to serve as a vital resource for students and researchers, especially as logic intersects with computer science and artificial intelligence, shaping modern applications in these fields.
The second volume of the Handbook of Defeasible Reasoning and Uncertainty Management Systems addresses the crucial issue of uncertainty in various fields, including philosophy, AI, and engineering. It serves as a companion to other notable handbooks, aiming to provide effective representations of uncertainty, stemming from the EU-supported DRUMS II project.
This book explores belief change in artificial intelligence and information science, focusing on the formal foundations of information dynamics. It reconciles symbolic and numerical approaches, covering revision and fusion problems. It serves as a comprehensive guide for scholars and graduate students in applied logic and knowledge representation.
The Handbook of Defeasible Reasoning and Uncertainty Management Systems addresses the crucial issue of uncertainty in various fields, including philosophy, AI, and engineering. This first volume provides comprehensive insights and serves as a companion to other established handbooks, stemming from the EU-supported DRUMS II project involving major European research teams.