Knowledge Representation and Reasoning Logics for Artificial Intelligence

First Page		Document Content
Date: 2009-11-24 15:49:50 Model theory Rules of inference Quantification First-order logic Universal quantification Propositional calculus Inference Resolution FO Logic Mathematical logic Predicate logic		Knowledge Representation and Reasoning Logics for Artificial Intelligence Add to Reading List Source URL: www.cse.buffalo.edu Download Document from Source Website File Size: 59,94 KB Share Document on Facebook

	James Hawthorne David Makinson The Quantitative/Qualitative Watershed for Rules of Uncertain Inference DocID: 1vmRT - View Document
	Consequence relations and admissible rules Rosalie Iemhoff∗ Department of Philosophy Utrecht University, The Netherlands June 10, 2016 DocID: 1rfeR - View Document
	Part 2: First-Order Logic 2.1 Syntax 2.2 Semantics 2.3 Models, Validity, Satisfiability 2.4 Algorithmic problems 2.5 Normal forms and Skolemization DocID: 1r4UL - View Document
	No complete linear term rewriting system for propositional logic Anupam Das and Lutz Straßburger Abstract Recently it has been observed that the set of all sound linear inference rules in propositional DocID: 1qNTb - View Document