Peter Norvig

Stuart Jonathan Russell

Presents a guide to artificial intelligence, covering such topics as intelligent agents, problem-solving, logical agents, planning, uncertainty, learning, and robotics.

A Modern Approach

Artificial Intelligence

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

Case Studies in Common Lisp

Paradigms of Artificial Intelligence Programming

Stuart Russell

Thelong-anticipated revision of ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI.

Artificial Intelligence: A Modern Approach, eBook, Global Edition

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. View chapters 3 and 4 from the Third Edition. Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your Kindle™, NOOK™, and the iPhone®/iPad®. You can also purchase the eText for 180 days through CourseSmart http://www.mypearsonstore.com/bookstore/product.asp?isbn=0136067336

Artificial Intelligence: Pearson New International Edition

A highly accessible, up-to-date professional reference for programmers, software engineers, system administrators, or technical managers, this book integrates state-of-the-art AI techniques into intelligent agent designs using examples and exercises to lead the reader from simple reactive agents to full knowledge-based agents with natural language capabilities.

Jeannette M. Wing

Chris Wiggins

Alfred Z. Spector

Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.

Foundations, Challenges, Opportunities

Data Science in Context

Stuart J. Russell

Ivan Bratko

John Canny

Prolog Programming for Artificial Intelligence Third edition Ivan Bratko The third edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics. Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. Prolog has its roots in logic, however the main aim of this book is to teach Prolog as a practical programming tool. This text therefore concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The third edition has been fully revised and extended to provide an even greater range of applications, which further enhance its value as a self-contained guide to Prolog, AI or AI Programming for students and professional programmers alike.Features * Combined approach to Prolog and AI allows flexibility for learning and teaching * Provides a thorough representation of AI, emphasizing practical techniques and Prolog implementations * Prolog programs for use in projects and research are available for download on the World Wide Web.New for this edition: * Constraint Logic Programming * Qualitative Reasoning * Inductive Logic Programming * The addition of belief networks for handling uncertainty * A major update on machine learning * Additional techniques for improving program efficiency * Meta-programming is updated to show how Prolog can be used to implement other languages (including object-oriented programming) * A new Companion Web Site will contain further teaching materials and updates Author: Professor Ivan Bratko leads the AI groups in the Faculty of Computer and Information Science at both Ljubljana University and the Jozef Stefan Institute in Slovenia. He has taught Prolog world-wide as well as applying Prolog in medical expert systems, robot programming, qualitative modelling and computer chess research.

L'intelligence artificielle à travers le concept d'agents intelligents, avec 500 exercices de réflexion, de programmation et d'approfondissement.

Avec plus de 500 exercices

Intelligence artificielle

un enfoque moderno

Inteligencia artificial

Stephen J. Hegner

Paul Mc Kevitt

In this international collection of papers there is a wealth of knowledge on artificial intelligence (AI) and cognitive science (CS) techniques applied to the problem of providing help systems mainly for the UNIX operating system. The research described here involves the representation of technical computer concepts, but also the representation of how users conceptualise such concepts. The collection looks at computational models and systems such as UC, Yucca, and OSCON programmed in languages such as Lisp, Prolog, OPS-5, and C which have been developed to provide UNIX help. These systems range from being menu-based to ones with natural language interfaces, some providing active help, intervening when they believe the user to have misconceptions, and some based on empirical studies of what users actually do while using UNIX. Further papers investigate planning and knowledge representation where the focus is on discovering what the user wants to do, and figuring out a way to do it, as well as representing the knowledge needed to do so.

Intelligent Help Systems for UNIX

Robert L. Wilensky

In this international collection of papers there is a wealth of knowledge on artificial intelligence (AI) and cognitive science (CS) techniques applied to the problem of providing help systems mainly for the UNIX operating system. The research described here involves the representation of technical computer concepts, but also the representation of how users conceptualise such concepts. The collection looks at computational models and systems such as UC, Yucca, and OSCON programmed in languages such as Lisp, Prolog, OPS-5, and C which have been developed to provide UNIX help. These systems range from being menu-based to ones with natural language interfaces, some providing active help, intervening when they believe the user to have misconceptions, and some based on empirical studies of what users actually do while using UNIX. Further papers investigate planning and knowledge representation where the focus is on discovering what the user wants to do, and figuring out a way to do it, as well as representing the knowledge needed to do so. There is a significant focus on natural language dialogue where consultation systems can become active, incorporating user modfelling, natural language generation and plan recognition, modelling metaphors, and users' mistaken beliefs. Much can be learned from seeing how AI and CS techniques can be investigated in depth while being applied to a real test-bed domain such as help on UNIX.

Peter Norvig

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