|Categories||Download eBook: Computers and Thought: A Practical Introduction to Artificial Intelligence|
Computers and Thought provides a unified, self-contained introduction to artificial intelligence for readers with little or no computing background. It presents an original extended AI programming project - the Automated Tourist Guide exercise throughout the main chapters of the text to illustrate the material covered and show how AI actually works. Most chapters illustrate a particular AI topic, with sections on the background to the topic, methods, applications, and the limitations of previous proposals.
In addition, there are end of chapter summaries and graded exercises, suggested readings, a glossary, and an appendix on programming.Computers and Thought details the theory and issues involved in AI and covers computer simulation of human activities, such as problem solving and natural language understanding, and computer vision. Its investigation of AI is usefully extended to models of cognition, the nature of mind and intelligence, and the social implications of AI and cognitive science.
The computer language is POP-11, an easy to learn language that can be used interactively, like LISP, and that has an appearance similar to PASCAL. It is not necessary to run the illustrative POP-11 programs on a computer, since a feature of the language is the ease with which it can be understood from the printed page.
More Artificial Intelligence eBooks:
Machine Learning, Neural and Statistical Classification
A Gentle Guide to Constraint Logic Programming via ECLiPSe, 3rd Edition
The LION Way: Machine Learning plus Intelligent Optimization
From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots
A Course in Machine Learning
Simply Logical: Intelligent Reasoning by Example
Logic for Computer Science: Foundations of Automatic Theorem Proving
Genetic Programming - New Approaches and Successful Applications
Introduction to Computing: Explorations in Language, Logic, and Machines
Computer Vision: Models, Learning, and Inference
The Quest for Artificial Intelligence: A History of Ideas and Achievements
Computational Linguistics: Models, Resources, Applications
Artificial Intelligence: Foundations of Computational Agents
Artificial Neural Networks - Methodological Advances and Biomedical Applications