Artificial Intelligence A Guide To Intelligent Systems Pearson

Artificial Intelligence

"Artificial Intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques. Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today's courses. Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also data mining. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses will be described and program examples will be given in MATLAB. The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contemporary coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques."--Publisher's website.

Artificial Intelligence

Eighth Scandinavian Conference on Artificial Intelligence

The Eighth Scandinavian Conference on Artificial Intelligence continues a tradition of being one of the most important regional AI conferences in Europe. Keith Downing focuses on the low road to artificial intelligence, that is, the development of AI through evolutionary artificial life approaches. The topics of the accepted papers range from multi-agent systems, robots, natural languages and machine learning to general knowledge-based systems and formal approaches to AI. This collection of papers together exemplifies the diversity of research in artificial intelligence today. Two of the invited speakers, both focus on vision, although each from slightly different viewpoints. One considers biological models for vision and its consequences for artificial vision, whereas the other considers the relation between real world objects and their internal representation in robots. The last keynote speaker, presents answer set programming, a new idea for declarative programming.