Archive for the ‘هوش مصنوعی’ Category

Understanding Intelligence

فوریه 6, 2009

کتاب Understanding Intelligence نسبت به کتاب Artificial Intelligence : A Modern Approach متن ساده تری داره و واضح تر توضیح داده. میتونید حداقل برای شروع یادگیری هوش مصنوعی از این کتاب استفاده کنید.

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Most artificial intelligence seems artificially dumb. Sure, Deep Blue can beat a chess grand master two games out of three, but could it get out of the way of an oncoming bus? AI researchers are coming to understand that if we want more than idiot savants for machines, we’ll need to build them from the ground up–a behavior-based approach. Rolf Pfeifer, head of the Artificial Intelligence Laboratory at the University of Zurich, and Christian Scheier, postdoctoral fellow at the University of Zurich and Caltech, have put together Understanding Intelligence, the definitive introduction to this approach for students, amateurs, and professionals alike. As they admit, there are plenty of gaps in our knowledge, so they take pains to make our ignorance as well as our knowledge explicit, and encourage thinking beyond the text with «Issues to Think About» at the end of each chapter. Delving into neural networks, subsumption architecture, principles and design of intelligent systems, and future applications, the authors strive to exhaust the literature and compress it into concise, readable text with plenty of illustrations where appropriate. Given the freshness of the material, it feels less like a textbook and more like a treasure map–we don’t know what we’ll find when we get there, but we know it’s going to be good. Whether robotics is a career, a hobby, or a side interest for you, Understanding Intelligence will help you get to work from the bottom up. –Rob Lightner

«People trained in classical AI will find this book an articulate and thought-provoking challenge to much that they have taken for granted. People new to cognitive science will find it a stimulating introduction to one of the field’s most productive controversies. Pfeifer and Scheier deserve our thanks for a thorough, assessible, and courteous contribution in the best tradition of scholarly debate.»
H. Van Dyke, Computing Reviews

«Understanding Intelligence is a comprehensive and highly readable introduction to embodied cognitive science. It will be particularly helpful for people interested in getting involved in the construction of intelligent agents.»
Arthur B. Markman, Science

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Prolog Programming for Artificial Intelligence

ژانویه 24, 2009

بهترین کتاب برای AI programming با استفاده از زبان پرولوگ

Prolog Programming for Artificial Intelligence 3/e
This best-selling guide to Prolog has been fully revised and extended to provide an even greater range of applications, enhancing its value as a stand-alone guide to Prolog, artificial intelligence, or AI programming. Ivan Bratko discusses natural language processing with grammar rules, planning, and machine learning. The coverage of meta-programming includes meta-interpreters and object-oriented programming in Prolog. The new edition includes coverage of: constraint logic programming; qualitative reasoning; inductive logic programming; recently developed algorithms; belief networks for handling uncertainty; and a major update on machine learning. This book is aimed at programmers who need to learn AI programming.
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پرولوگ         Prolog Programming for Artificial Intelligence, 3rd Edition    برنامه نویسی هوش مصنوعی Ivan Bratko

Artificial Intelligence : A Modern Approach (2nd Edition)

ژانویه 1, 2009

منبع اصلی آموزش عالی در درس هوش مصنوعی

Artificial Intelligence : A Modern Approach (2nd Edition)


The long-anticipated revision of this best-selling book offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For those interested in artificial intelligence.




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