Artificial Intelligence for Games, Second Edition

Artificial Intelligence for Games, Second Edition by Ian Millington, John Funge
MK | 2009 | ISBN: 0123747317 | 896 pages | PDF | 15 MB

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.

"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games).

* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.
* Walks through the entire development process from beginning to end.
* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

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Artificial Intelligence A Systems Approach

M. Tim Jones, "Artificial Intelligence: A Systems Approach " Chapman | 2007 | ISBN: 0977858235 | 500 pages | PDF | 6,5 MB

 This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. 

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DNA Fingerprinting in Plants: Principles, Methods, and Applications, Second Edition

Kurt Weising, Hilde Nybom, Kirsten Wolff, Gunter Kahl «DNA Fingerprinting in Plants: Principles, Methods, and Applications, Second Edition» Publisher: CRC | Edition: 2005 | ISBN: 0849314887 | PDF | 475 pages | 4 Mb

Given the explosive development of new molecular marker techniques over the last decade, newcomers and experts alike in the field of DNA fingerprinting will find an easy-to-follow guide to the multitude of techniques available in DNA Fingerprinting in Plants: Principles, Methods, and Applications, Second Edition. Along with step-by-step annotated protocols, the authors fully discuss the technical aspects and modifications of existing techniques, the influence of reaction components and conditions, and the analysis of the results. This second edition has been completely revised to address the exponential changes in the field since the first edition, focusing on PCR-based techniques but also including more sophisticated ones. The authors include numerous case studies to illustrate applications of the methods, more than 1600 references to the literature, and descriptions of reagent formulation, equipment, and computer programs used for evaluating molecular marker data. They compare the various methods, including the costs and benefits of each, helping readers determine which is best suited to a particular application. The well-rounded, cross-referenced, and unified nature of this book makes it intrinsically easier to follow than the edited, multi-authored books currently available. It is an absolute necessity on the lab bench of anyone involved in plant research, DNA profiling, and molecular markers.

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Forensic DNA Typing Protocols (Methods in Molecular Biology)

by Angel Carracedo

Publisher: Humana Press | November 30, 2004 | ISBN: 1588292649 | Pages: 296 | PDF | 5.27 MB

A state-of-the-art collection of readily reproducible laboratory methods for DNA identity analysis, including Y chromosome haplotyping, mtDNA, and SNP typing. The book offers well-tested protocols for DNA quantification using real-time PCR on forensic samples and for the determination of the number of amelogenine gene copies. For forensic geneticists, there are readily reproducible methods for species identification, ancient DNA, and pharmacogenetics. Additional chapters address new applications in the forensic genetics lab, such a species identification or typing of CYP polymorphisms for the analysis of adverse to drugs.

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Fundamentals of Forensic DNA Typing

John Butler

Ac emic P ss | ISBN : 0123749999 | 2009 | 519 pages | PDF | 2,8 MB   

John Butler, bestselling author of Forensic DNA Typing, now applies his expertise on the subject of DNA analysis into an introductory textbook. Fundamentals of Forensic DNA Typing walks students step-by-step through the DNA analysis process beginning with collection of evidence at a crime scene to the statistical interpretation of the results.

Also included are brief discussions of such news worthy topics as victim identification from the September 11, 2001 attacks, the identification of the remains of the Romanovs, the last Russian Royal family, and the O.J. Simpson case. New applications, such as genetic genealogy and tracing domestic pet hairs to perpetrators, are also detailed. With its clear and understandable style and extensive list of online ancillaries and study aids, this textbook will make the subject accessible to students in forensic science courses worldwide.

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