Truth and Modality for Knowledge Representation

Truth and Modality for Knowledge Representation, Volume 1, examines the intersection of formal logic and artificial intelligence. Raymond Turner connects recent developments in the logics of truth and modality with the practical needs of knowledge representation in AI. This academic work explores how intelligent agents represent and reason about beliefs, knowledge, and truth. By bridging these two fields, the text provides a framework for understanding how complex information systems function within information theory and artificial intelligence.

The book offers a detailed review of influential semantic theories of truth, including the work of Kripke, Gupta, and Feferman. These theories serve as a foundation for constructing advanced logics of modality, propositions, and properties. Readers interested in truth, modality, and knowledge representation will find an accessible exposition of how semantic theories address logical paradoxes. This volume serves as a technical resource for researchers studying reasoning agents and the formal structures of modal logic.