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.
Home page url
Download or read it online for free here:
by Max Hailperin, Barbara Kaiser, Karl Knight - Course Technology
The book Concrete Abstractions covers the programming and data structures basics. It will give first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.
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.
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 F. D. Lewis - University of Kentucky
This text is a broad introduction to the field, presented from a computer science viewpoint for computer scientists. This was designed to be used in a one-semester course for senior computer science majors or first year masters students.