Introduction To Artificial Intelligence

Product Description

This accessible & engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI) The broad-ranging discussion covers the key subdisciplines within the field describing practical algorithms & concrete applications in the areas of agents logic search reasoning under uncertainty machine learning neural networks & reinforcement learning Fully revised & updated this much-anticipated second edition also

Includes:: new material on deep learning Topics & features presents an application-focused & hands-on approach to learning with supplementary teaching resources provided at an associated website; contains numerous study exercises & solutions highlighted examples definitions theorems & illustrative cartoons;

Includes:: chapters on predicate logic PROLOG heuristic search probabilistic reasoning machine learning & data mining neural networks & reinforcement learning; reports on developments in deep learning including applications of neural networks to generate creative content such as text music & art (NEW); examines performance evaluation of clustering algorithms & presents two practical examples explaining Bayes' theorem & its relevance in everyday life (NEW); discusses search algorithms analyzing the cycle check explaining route planning for car navigation systems & introducing Monte Carlo Tree Search (NEW);

Includes:: a section in the introduction on AI & society discussing the implications of AI on topics such as employment & transportation (NEW) Ideal for foundation courses or modules on AI this easy-to-read textbook offers an excellent overview of the field for students of computer science & other technical disciplines requiring no more than a high-school level of knowledge of mathematics to understand the material