Handbook of Knowledge Representation
by Frank van Harmelen, Vladimir Lifschitz, Bruce Porter
Publisher: Elsevier Science 2008
Number of pages: 1035
Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.
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by Carlos Ramírez Gutiérrez - InTech
A compilation of research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, and detailed descriptions of applications to various domains.
by Christine Alvarado, et al. - Harvey Mudd College
Our objective is to provide an introduction to computer science as an intellectually vibrant field rather than focusing exclusively on computer programming. We emphasize concepts and problem-solving over syntax and programming language features.
by Margaret M. Fleck - University of Illinois, Urbana-Champaign
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
An electronic book for teaching Computational Science and Engineering. The intended audience are students in science and engineering at the advanced undergraduate level and higher. Tutorials for networking and visualization software are included.