Book Description
This is the definitive step-by-step guide to creating cutting edge television commercials, exploring everything from how television communicates, how planners contribute new insights, how to get great television ideas, how commercials are structured, how to sell concepts and how they should be executed.
Join a master class where the faculty includes Tim Delaney, Graham Fink, Neil French, Lee Garfinkel, Roy Grace, John Hegarty, Steve Henry, Drain Holmes, Lionel Hunt, Michael Patti, Jim Riswold and 70 other creative leaders. Share their personal creative processes in page after page of practical and inspiring guidance, complete with storyboards and case histories.
Step behind the famous campaigns at BBDO New York, Fallon, Goodby Silverstein, Howell Henry Chaldecott Lury, Leagas Delaney, Lowe, Saatchi & Saatchi, Wieden & Kennedy and great agencies in the US, UK and Australia. Consult film directors at Hungry Man, @ radical.media, Window, and many more. Explore creativity in the emerging markets of Asia, especially China and India. And possess the statistical evidence that creativity SELLS!
Customer Reviews:
Break out of the mold.......2004-05-14
Aitchison talks about the different myths in advertising and how some isn't true. Then he gives us some clues about how to get an idea and execute it successfully.
It is a great book that gathers opinions of advertisers worldwide. This is for someone in the advertising field who wants something different and original without going overboard.
The Best Ad Book on Commercials!.......2002-08-15
Bravo! Cutting Edge Commercials is the second book in the Cutting Edge series. This book contains the WORLD's BEST television commercials. Get your dose of inspiration here! Can't wait for the next volume to be published ...
Amazon.com
Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as "anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors." This textbook is up-to-date and is organized using the latest principles of good textbook design. It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index. Artificial Intelligence: A Modern Approach covers a wide array of material, including first-order logic, game playing, knowledge representation, planning, and reinforcement learning.
Book Description
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.
Customer Reviews:
Highly recommended.......2007-09-28
I am half way through and I like it so far. Frankly I am puzzled by other reviewers complaining about "lack of real code examples", they clearly have not read the book carefully: it comes with tons of sample code (online) written in different languages, publishers/authors simply did not want to waste the precious real estate. The book is nearly a thousand pages already.
Otherwise this is a great CS book. Yes there is some math in it, but don't be scared - there is an appendix with all necessary mathematical background you'll need (and you don't need much). I was surprised to see so much historical references in this book, it teaches you not just about most major branches of AI, but also about how they started and where originated from in a "problem -> solution" form. For instance when they talk about genetic algorithms they actually go ahead and write a comprehensive comparison of analogies between biological evolution, genes and their computer-generated counterparts referencing the original work of Darwin and others.
If you're into AI, applied mathematics or computer science, I have no doubt you'll enjoy this book: it's not too focused on something specific (and something you'd need a PhD to understand) while not too shallow and covers fairly wide spectrum of AI problems, including (!) ethical and philosophical issues like "what happens if we succeed?"
Highly recommended.
Worth a million.......2007-09-26
An author of this book is said to have commented that its writing has made him a millionaire. It is used in over 1000 universities for a simple reason, it is good. The book uses the concept of an agent to unify the formerly fragmented field of AI and to link together concepts as diverse as logic programming and ethics. It is very easy to read and touches every area of modern research interest I can think of. The problems have a nice variety of difficulties (although there are no worked-out solutions in the book) and provide a mix between theory and practice, introducing the careful student to concepts and papers not developed in the main text of the chapter. The bibliography is well laid-out and provides useful depth (one of my current research interests was sparked by reading one of the referenced papers in the 2nd chapter).
My only complaint so far (not having finished the entire book) is that some of the definitions in chapter 17's whirlwind introduction to game theory were a little vague. But, a quick look at some other sources clarified things immensely.
It is rare to find a textbook as interesting and clear as this one. If a professor is requiring that you read it, consider yourself fortunate. If you are thinking of reading it yourself, you also are blessed. Look forward to many pleasant evenings.
Worthwhile.......2007-08-23
This book is very worthwhile if you are looking into AI with the purpose of understanding the various techniques, etc. It gives a really good background, and I find it useful. The only changes I would have made (for me, not everyone else) would be to include a few short chapters on second order logic, and the basic mathematics and math terms used in the book. It assumes more knowlege in math than I have. It would also be nice if it had a "recommended reading" page, listing those texts that would be useful for an AI beginner to review in order to understand the math and logic referred to. (My degree was in 79, and I only had a very basic calculus course...not too deep...I can diffentiate, but that is all).
It would just be nice if they could list reference books for people who are math nieve.
Thorough book.......2007-01-04
This book was very thorough in many facets of Artificial Intelligence. It was a tremendous help in the class I took and will be a great reference for future years.
Thick, informative & loads of diagrams.......2007-01-04
Useful book which at first explains in great detail the history, foundations for AI and the different approaches AI takes on. Your course will probably not use all the material in the book but still makes for interesting reading. Would recommend if you can pick up a copy cheap.
Average customer rating:
- Broad, but a mess.
- Computer vision
- A good up-to-date reference. Comes with solid introductions to (multi-)camera geometries.
- Not a good book to begin with
- Somewhat opaque
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Computer Vision: A Modern Approach
David A. Forsyth , and
Jean Ponce
Manufacturer: Prentice Hall
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Introductory Techniques for 3-D Computer Vision
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Computer Vision
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ASIN: 0130851981 |
Book Description
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A
CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth.
Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.
Customer Reviews:
Broad, but a mess........2006-10-24
This is, from what I can tell, just about the most complete up-to-date text in the field of computer vision as of late 2006.
But it's a mess.
I'm a PhD student, and have worked my way through more than my fair share of high-level computer science textbooks. This one makes me really appreciate many of them. It reads like a first draft -- overly wordy at times, skipping over important issues, poorly organized... Some concepts that ought to be really simple are made very painful due to what seems to be laziness on the part of the editor. It's like the only people that critiqued this book prior to publication already knew all there is to know about computer vision.
A particularly nasty aspect of this book is that the authors have a horrible habit of including some term in some complex mathematical formula, with no reference whatsoever to that term in the surrounding text! In an explanation of how to use Expectation Maximization in line-fitting, they include a standard-deviation term, with no mention of how you're supposed to choose a value for it other than "...for sigma as before". The only "before" in which the SD (sigma) is mentioned in a similar context that I can find is IN THE PREVIOUS CHAPTER!!!
Anyway, if you want to try to teach yourself vision, don't bother. If you need the book for a class, I'm sorry it's so expensive. Either way, don't expect much.
Computer vision.......2006-07-29
I think this book is the most complete computer vision arguments. In fact it start to speaks from radiometry to steriovision passing by filter uses!!
Good very good
A good up-to-date reference. Comes with solid introductions to (multi-)camera geometries........2006-06-06
First of all, I got a 2003 reprint, and somehow, every single fraction bar (the division sign) is missing in the math expressions for the entire book! Very annoying. I had expected more from Prentice Hall. I advise one to open the book before the return period elapses.
Secondly, I agree to the reviews that say this book being not intuitive. I assume the authors tried to make it concise and came up with a hard read. For example, it explains 2D Fourier analysis in just 3 pages. Of course it's not for first learners. But I get the feeling they could've done a little better in presenting ideas.
The upside is that this book covers quite recent topics. Hence this book may be used as a good survey of the field today.
Personally, I get to grasp rough ideas of the topics I usually don't have time to hit the papers on. Which I appreciate. I knock 2 stars off for overpricing and the misprints in my copy.
[Added in July 2007] I find the chapters on multi-camera geometry, stereopsis, and structure-from-motion are very well written. I'd give it another star for it but the "edit" page won't allow it.
So here it is. It's * * * * -- a four star!
Not a good book to begin with.......2006-02-07
The book fails to explain simple concepts in a clear way. Trying other literature such as 'Shapiro and Stockman's' book is enough to convince yourself that the same concepts can be explained clearly without losing insight.
Somewhat opaque.......2005-12-03
Good point: probably most recent vision book
Bad point: hard to read, missing obvious computer vision topics
Book Description
This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook. The book provides detailed coverage of basic topics as well as several closely related ones.
Unlike traditional textbooks, the book brings together many leading experts, guaranteeing a broad and diverse base of knowledge and expertise. It emphasizes aspects of both theory and application, and provides many illustrations and examples. Also included are thought-provoking exercises of varying degrees of difficulty and a twenty-page glossary of terms found in the study of agents, multiagent systems, and distributed artificial intelligence.
The book can be used for teaching as well as self-study, and is designed to meet the needs of both researchers and practitioners. In view of the interdisciplinary nature of the field, it will be a useful reference not only for computer scientists and engineers, but for social scientists and management and organization scientists as well.
Customer Reviews:
A comprehensive monography.......2005-09-07
This is one out of very few books that exist on multiagent systems and distributed artificial intelligence which won't take for granted the reader. It has really taken me from elementary concepts up to industrial applications, passing over the actual "nitty gritty" of programming an agent. Many papers on artificial intelligence are just too mathematical for many readers, and those which have any application would describe what the program does, but only sometimes you get into knowing *how* the program does the trick. I personally would say the book is a "must-have-it", not only for those seeking to understand in concrete distributed artificial intelligence or multiagent systems, but also for any mathematician, physicists, computer scientists and engineer whose background touches somehow the concepts of artificial intelligence as a whole. Come to think of it, even any cunning philosopher of science could take real advantage of this book. Now then, concerning those industries which would like to have this book on their shelves, they would have to take in mind that this book is a departure point. A good one, but nevertheless only the start for deepening towards a concrete application the industry would have in mind.
Excellent Theoretical and Practical Book.......2001-10-31
Not a beginner's book: The technologies presented are relevant to (gasp) some real life problems. The treatment of Distributed Constraint Satisfaction problems was well written and usable. The initial treatment of all subjects was broad, delving into details after laying a sound foundation. Assumes a bit of mathematical sophistication on the part of the reader, but on the whole, well written, well organized and well worth it.
Great Textbook.......2001-08-27
While perhaps this should not be your first book in AI, it should definitely be your first book on agents. It took me years to accumulate the knowledge present in this book, and it's a great survey of the field for the beginning investigator. However, while this is a great way to get started in agents, understand how agents can be used in intelligent applications (from distributed AI type problem solving, to resource optimization problems), and "get the agent paradigm," coverage of agent software engineering techniques is light. This is not a fault of this book - you will simply need other resources to understand the difficulties and current research in engineering multi agent systems (or indeed any concurrent distributed system). So if you are trying to figure out what to do with agents, or how agent systems work, this is the book for you. If you already know that and want help with formal specification of an agent, verifying your agents meet the specifications, etc. this is not the book for you. Understand that to build systems you will need both!
Great book.......2000-07-03
I have been using this book probably for an year now, and this has become indispensable to my work. The collection of authors in this book reads as an 'who's who' in multiagent systems and distributed AI research. Although, its' difficult to maintain continuity in edited books, the editor has done an commendable job. The authors provide a readable introduction to their area of expertise, and supplement them with an excellent bibliography...enough to get u started fast.
It is a useful book that covers all aspects on the subject........2000-03-28
Thogh edited the book looks like a single authored text. The definitions are clearly presented with illustrations. The presentation is highly comprehensive. The book is thus highly readable with minimum effort. I liked the chapters on distributed problem solving and planning (Chapter 3),Learning in multiagent systems (chapter 6), Formal methods in DAI: Logic based representation and reasoning (chapter 8)and Groupware and computer supported cooperative work (chapter 10) very much.Readers of diverse interest in distributed artificial intelligence will find the other chapters equally interesting and useful.The book should be on the desk of anyone interested to learn the concepts of multiagent systems and technology.
Average customer rating:
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ASIN: 8129700417 |
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Geophysical Applications of Artificial Neural Networks and Fuzzy Logic (Modern Approaches in Geophysics)
Manufacturer: Springer
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The Deep Hot Biosphere : The Myth of Fossil Fuels
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The Science of Sugar Confectionery (Rsc Paperbacks)
ASIN: 1402017294 |
Book Description
This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology.
The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics.
The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.
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A Knowledge Based Approach to Software Development: Esprit Project Aspis (Modern Problems in Condensed Matter Sciences)
Manufacturer: North-Holland
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Pattern Recognition From Classical to Modern Approaches
Manufacturer: World Scientific Publishing Company
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