Reviews (2)

An excellent book too
This is actually a must-have book for those who want to study pattern recognition.

excellent tools for implementation of P.R. techniques
i first bought the book by Bishop (Neural Network for Pattern Recognition) and anyone who have read it can tell u how excellent that book is. This book has a little bit less theory and more on implementation which is perfect for me. This book include all the topics covered in Bishop and then some. How the book is organized, and how concise, easy to understand the material is at the same amazing level as Bishop's. I believe implementing and practicing things u learn is key to understanding them.. if you just look at how things are implemented, things would suddenly become 10 times clearer for you.. often to your own amazement (that you can actually understand all those stuff). this book is extremely useful even if u dont have matlab (just look up the syntax at mathworks web site), cuz matlab code is straightforward to understand. and the material included is very up to date and cutting edge indeed. i highly highly recommend it. ... Read more

Subjects:  1. Artificial Intelligence - General    2. Computer Books: Languages    3. Computer algorithms    4. Computers    5. Computers - General Information    6. Data Processing - General    7. Data Processing - Optical Data Processing    8. Data Transmission Systems - General    9. Digital Image Processing    10. Digital techniques    11. Image processing    12. Pattern Recognition    13. Pattern recognition systems    14. Algorithms    15. Algorithms & procedures    16. Computers / Artificial Intelligence    17. Neural Networks    18. Non-linear Statistics    19. Probability & statistics   

Subjects:  1. Electronics - Circuits - General    2. Engineering - Electrical & Electronic    3. Power Resources    4. Science/Mathematics    5. Technology    6. Technology & Industrial Arts    7. Computer modelling & simulation    8. Power generation & distribution    9. Power networks, systems, stations & plants    10. Technology / Power Resources   

Editorial Review

Some love it, some hate it, but Read more

Reviews (56)

Will you answer "no" to this question ?
For those people who didn't make it through the book, here is a (perhaps oversimplified) summary.
Magnificent - Changed my life
About 10 years ago I was a physicist with no interest in philosophy when I idly picked up a copy of this book on special offer. As I read I was drawn into the fascinating world of Penrose, where he explains with beautiful clarity some of the physics/maths I knew well already and some that was new to me like Godel. The latter he explained very well graphically, with the diagonal cut. This graphical approach is his strength - it is also used to good effect in his most recent book, "The Road to Reality". But where he really scored in TENM was in opening my eyes to the world of philosophy on the mind/body debate. His references to Searle and others were pointers I followed up to good effect until I was thoroughly engrossed in that debate. Thus the book was very effective. His insights on mathematical inspiration were also good, as was the way Deep Blue failed miserably on an obvious chess problem because its brute force method lacks the ' qualia ' or feeling of meaning and true understanding.Thus with Godel he had a good math reason for doubting that Computers could solve all the problems we grasp intuitively and with examples of this intuition he gives good ' intuitive' reasons. I suspect that for many other physicists this book was also an eye-opener. So the 5 stars are richly deserved. Having said that, and with the hindsight of later reading on the philosophy of consciousness, what was not emphasised enough in the book was a discusion of the ineffable nature of subjective consciousness. E.g. the idea of 'qualia' or subjective experience of red or music etc. is a theme that is the basis for the 'hard problem' of consciousness in philosophy, a term coined by David Chalmers. This'hard problem'or ' explanatory gap ' is another powerful argument against AI and a reason to doubt that purely objective processes can explain how the ' wine of subjective experience arises from the water of objective processes '. Thus the book would have been more complete with such a discussion, as it takes a bit of lateral thinking to grasp this, and most scientists are blissfully ignorant of this funda-mental feature of reality. However, his discussion of mathematical insight is indirectly concerned with one of the 'non-sensory qualia' and thus touches on the problem of the subjective/objective dichotomy.
Royal Waste of Time
Being a fledgling opponent of strong AI, I picked up this book hoping to learn the weaknesses of the strong AI argument. Alas, this was the wrong book to pick up.
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Subjects:  1. Science/Mathematics    2. Artificial Intelligence - General    3. Cognition & cognitive psychology    4. Computers / Artificial Intelligence    5. Philosophy of mind    6. Science: General Issues    7. Artificial Intelligence    8. Philosophy Of Science    9. Science    10. Physics   

Reviews (9)

Pretty Solid
For what it is, it's pretty good.Very well organized, and easy to read (a little dry, but this isn't exactly a recreational novel).Four stars only because it wouldn't hurt to help us use some modern tools (calculators, computer software, etc), instead of the tables in the back.Maybe that's changed since my 3rd edition.

Very Good as Textbook
This book was recently used as a textbook for an engineering statistics class.Many of the students liked the book and found it easy to read.The level of mathematics in the book is excellent for a college level statistics textbook.I would have given it a five star rating if propogation of error and nonlinear regression analysis were covered in the textbook.

not entry level
This isn't entry level book.For entry level, read ISBN 0073660078 first.Then read Milton's book. ... Read more

Subjects:  1. Computer Mathematics    2. Computer science    3. Engineering - Civil    4. Engineering - Industrial    5. Engineering Mathematics    6. Mathematics    7. Probabilities    8. Probability & Statistics - General    9. Science/Mathematics    10. Statistics    11. Mathematics / Statistics    12. Probability & statistics   

Reviews (2)

Good Technical Book
Clarke's book is going to be a classic in this area of computer science.It is well written and covers just about exactly what one would want in a book on this topic.I am currently re-reading chapters 9 and 10 for more depth of understanding, because at first I was able to get the general idea just by skimming, and it is technical enough in style to satisfy my mathematical needs.
hard to read
This book is horribly difficult to read, it is very terse. I found that I could easily follow the things I knew already, but it is not a good book to learn new things from. It is a collection of research results, in a sensible order, but little effort has been made to explain things to the novice. In fact there are research papers which introduce more advanced topics than covered here, and are much easier to read than this book (for example Alur's paper on ATL). It is probably good as a comprehensive reference if you are already familiar with the techniques. It is a shame as there seems to be no other comprehensive book available on model checking. The most accessible introduction remains Manna and Pnueli's "Temporal Verification of Reactive Systems", although it only has one chapter on model checking. ... Read more

Subjects:  1. Computer Books: General    2. Computer Performance And Reliability    3. Computer Science    4. Computer systems    5. Computers    6. Computers - Languages / Programming    7. Management Information Systems    8. Programming - Systems Analysis & Design    9. Programming Languages - General    10. Verification    11. Computer Programming    12. Computer modelling & simulation    13. Computers / Computer Science    14. Systems analysis & design   

Subjects:  1. Computer Books: General    2. Computer Science    3. Computers    4. Computers - General Information    5. Finance    6. Mathematical models    7. Operations Research    8. Algorithms & procedures    9. Computer modelling & simulation    10. Computers / Computer Science    11. Investment & securities    12. ant colony systems    13. artificial immune systems    14. biologically inspired algorithms (BIAs)    15. computer trading    16. evolutionary methodologies    17. financial markets    18. financial trading    19. genetic algorithms (GAs)    20. grammatical evolution (GE)    21. multilayer perceptrons    22. neural networks (NNs)    23. particle swarm optimization (PSO)   

Subjects:  1. Artificial Intelligence - General    2. Artificial intelligence    3. Computers    4. Computers - General Information    5. Expert Systems    6. Expert systems (Computer scien    7. Expert systems (Computer science)    8. Information Theory    9. Knowledge representation (Info    10. Knowledge representation (Information theory)    11. Philosophy    12. Programming - General    13. Programming Languages - General    14. Computers / Programming Languages / General    15. Mathematical theory of computation   

Features

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Reviews (7)

Intelligentagents should steer clear from this book
Terrible and useless even for a book on AI for budding game developers. The theory and explanations in this book are sometimes decent but more often than not quite lacking. (es: in one of the first chapter the author uses Bresenham algorithm without taking the time to explain it). The use of tile based examples introduce unnecessary overhead, and the continuos attempts to introduce physics related code and references to the author's other book on game physics are just plain annoying. The range of subjects covered is very broad (chasing and evading, pathfinding, emergent behaviours, rule based reasoning, bayesian networks, neural networks, fuzzy logic, finite state machines, genetic algorithms), definitely too broad to treat each of these subject in decent depth and with clarity. Example code is of low quality and just superficially object-oriented. If you are looking for a decent introduction to game AI I recommend Matt Buckland "Programming Game AI by Example" and "AI Techniques for Game Programming".

Conceptually OK, terrible code & implementation
AI for Game Developers is a book aimed at beginner game programmers that want to apply AI techniques in their games. The range of topics covered is vast, chasing, flocking, pathfinding, state machines, bayesian networks, neutal networks, genetic algorithms, fuzzy logic and more.
Great book to start into AI
Is good book to initiate within world of AI, brings very good examples on fuzzy logic and genetic algorithms, in my opinion would have to bring CD-ROM with more examples but even so I recommend them for people that is initiating within development of video games, have a simple way to explains concepts that in other books can that are abstract and until moments very confused, explain it of direct and very simple way, are a book not very extensive you will be able to read it in a pair of days, and thus to begin to apply it within any application or game, the code comes very simple manageable and easy to use,it comes in c++, I hope enjoy so much as I. ... Read more

Subjects:  1. Artificial Intelligence    2. Computer Books: General    3. Computer Graphics - Game Programming    4. Computer games    5. Computers    6. Computers - Languages / Programming    7. Programming    8. Programming - Software Development    9. Reference - General    10. Computers / General    11. Computers / Languages / Programming    12. Computers / Programming / Software Development    13. Computers/Computer Graphics - Game Programming    14. Design    15. Video games    16. artificial intelligence, AI, game, finite state machines, fuzzy logic, neural networks    

Reviews (4)

Essential reading for those seriously interested in working memory
If you are a layperson who wants to learn more about the topic of 'human memory', this is not the book for you (as evidenced by one of the earlier reviews). However, if you are a scientist, educator or serious student who wishes to know more about the concept of working memory, this book is essential reading. The editors have done an excellent job in identifying the 8 most important issues/questions in the field and then asking the authors of the 10 most influential models to attempt to answer these questions using their model. This lets the reader see the different strengths and weaknesses of the different models (in their authors' own words) and their commonalities and differences. The editors then are kind enough to summarize the major issues on which there is consensus, what remains to be debated and useful future directions for research. There is no ultimate conclusion as there is still much work to be done.
A Failed Attempt...
There are many different scientific models of how human memory works. This book's authors posed the same eight questions to a dozen different experts in memory research.The hope was that intense contrast and comparison between different and seemingly contradictory models of how memory works would guide the reader to the next level of enlightenment. A Failed Attempt...
There are many different scientific models of how human memory works. This book's authors posed the same eight questions to a dozen different experts in memory research.The hope was that intense contrast and comparison between different and seemingly contradictory models of how memory works would guide the reader to the next level of enlightenment.Read more

Subjects:  1. Artificial Intelligence - General    2. Cognitive Psychology    3. Linguistics    4. Psychology    5. Short-term memory    6. Memory    7. Psychology & Psychiatry / General   

Reviews (9)

Useful, but mostly as a historical document
First, remember that this book was published in 1994 - it was probably written in the 1992-3 era. The OO design world was still in the "warring states" period before unification under UML. The company that created ROOM tools, if I understand correctly, was absorbed by another company that was absorbed by another company - I'm not sure how much of ROOM in its pure form is still left. Concepts are incredibly valid and useful
The eminently practical, usable, powerful, elegant and - once understood - simple concepts behind ROOM deserve the broadest audience amongst real-time and even non-real-time developers. It has been a couple of years since I cracked the cover and I recall the reading being dry. Nonetheless, if you are considering a move to Rational Rose RealTime as a development tool (into which ObjecTime evolved), then this book is truly helpful as a reference for the modeling concepts. The example used throughout is simple enough that it is easy to grasp allowing you to dedicate your time to conceptual understanding rather than getting your head around some obtuse example. At the same time, the example is a natural vehicle for the inclusion of advanced concepts as each is intoduced. Too old
This book doesn't even mention UML. It may be good if you want to use author's modeling. ... Read more

Subjects:  1. Computer Books: General    2. Computers - Languages / Programming    3. Object-oriented programming (C    4. Object-oriented programming (Computer science)    5. Programming - General    6. Programming Languages - General    7. Real-Time Data Processing    8. Real-time programming    9. Computer modelling & simulation    10. Object-oriented programming (OOP)   

Subjects:  1. Applied    2. Artificial Intelligence - General    3. Computer Books: General    4. Computer Graphics - General    5. Computer Science    6. Computers    7. Mathematics    8. Bayesian Methods    9. Computer vision    10. Embedded Methods    11. Feature Extraction    12. Filter Methods    13. Mathematics / Applied   

Reviews (1)

Essential Research Material
As well as featuring an extremely large and diverse collection of papers on the latest in Agent based technologies, this book has a wonderful introduction by the Editors.If you are considering, or indulging in, researching agent software then you need this book. ... Read more

Subjects:  1. Artificial Intelligence    2. Artificial Intelligence - General    3. Computer Books: General    4. Computer Programs    5. Computers    6. Computers - General Information    7. Intelligent agents (Computer s    8. Intelligent agents (Computer software)    9. Programming - Software Development    10. Computer architecture & logic design    11. Computers / Artificial Intelligence    12. Databases & data structures    13. Programming languages   

Reviews (14)

Poor choice for experienced modelers - just ok for beginners
This book oversimplifies the examples and expects a leap of faith to truly understand the information engineering technique of data modeling. Very academic in nature, more theory than reality
Anyone that has been modeling very long will see this book for what it is ... after you look at it once, you'll put it on your bookshelf and leave it there.Save yourself the money ... There are much better reference books available.Try David Hay's book on patterns, or Len Silverston, or Graeme Simsion.Check out the DAMA reference guide .. at least it's built by actual practitioners. Misleading or, if you want, wrong
The authors deny the fifth normal form and state special-case rules as if they were universal. Examples: Eliminate triads; Two entities cannot have more than one relationship. Although in some specific situations the advice might be valid, anyone who is trying to learn from the reading will be misled. Less harmful, even interesting, for a professor (to learn how not to approach the teaching of DB modeling).Read more

Subjects:  1. Computer Bks - Data Base Management    2. Computer Books: General    3. Computers    4. Computers - Data Base Management    5. Data Modeling & Design    6. Data structures (Computer scie    7. Data structures (Computer science)    8. Database Engineering    9. Database design    10. Information Storage & Retrieval    11. Programming - General    12. Computer modelling & simulation    13. Computers / Information Storage & Retrieval    14. General Theory of Computing   

Reviews (5)

Sample Programs are Available
One reviewer said that the sample programs were not available as promised on the publishers website.That may have been true when that review was written, however, I just checked and the sample programs are now there for download on the publisher's website.In fact, I just downloaded them and they are fully functioning Mathematica notebooks.

An excellent book
I purchased this book in desperation while taking a probability class with another textbook, and it has been a lucky find, indeed. The mathematics are limited mostly to basic calculus but provide sufficient rigor to satisfy the interests of mathematically-minded readers. The concepts appeal intuitively to the non-statistician scientist or graduate student as well as the mathematician. This book is easy to read and understand. Mathematica enhances the text and aids the homework, but unlike the reviewer below, I believe this book is valuable even without Mathematica. After reading this book I was able to make sense of the assigned probability text and began to enjoy the course. Introduction to Probability with Mathematica was well worth the investment.

A creative and refreshing approach...
I considered this book for a course that I thought I was going to teach. The course never got offered but I did discover this neat book in the process. Being a Mathematica fan, I was very happy to see a probability book completely based on Mathematica. In fact, the book itself is a set of Mathematica notebooks, making it very easy for the readers to experiment with the introduced topics. The explanations are clear and are accompanied with neat examples showing real-world uses of probability.Read more

Subjects:  1. Computer Science    2. Mathematica    3. Mathematical & Statistical Software    4. Mathematics    5. Probabilities    6. Probability & Statistics - General    7. Science/Mathematics    8. Computer modelling & simulation    9. General Theory of Computing    10. Mathematics / Probability & Statistics / Bayesian Analysis    11. Probability & statistics   

Reviews (2)

Impressive book
This is a very impressive book.It covers in a systematic manner a broad portion of the field of theoretical neuroscience.It covers topics from models of single spiking neurons, through networks of interconnected neurons and up to neuronal plasticity.This book is also written very well.The style of this book reflects the background of the authors as Physicists; it therefore strives for simplicity wherever possible.
All you ever wanted to know about spiking neuron models
I have used this book as an introduction and reference book for modeling neurons since I started my thesis work in computational neuroscience two years ago. It covers various types of spiking neuron models (e.g. Hodgkin-Huxley, Morris-Lecar, Integrate&Fire, Spike-Response-Model), noise in neuron models, population models, and plasticity/learning.
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Subjects:  1. Anthropology - Physical    2. Computational neuroscience    3. Computer Books: General    4. Computers    5. General    6. Neural Networks    7. Neural networks (Neurobiology)    8. Neurons    9. Neuroplasticity    10. Science    11. Computers / Application Software / General    12. Neurosciences   

Reviews (7)

Biggest return for the biggest investment
This was the second-hardest book I ever read.Honestly, it took me years and years to get through it.I even had to buy a 2nd copy, because I kept getting frustrated and throwing the first copy across the room until it was destroyed.So yes, this book requires a substantial effort to read.
A must
The book provides all the tools needed for a productive use of the theory. Written by leading experts in the field, the book is both a fascinating introduction as well as a comprehensive reference for experts. Excellent if you have the math...
to understand it.This book is intended for serious students of computer science or those who have some similar training - it is definitely set up as a textbook.However, that being said, if you have the background the authors' delivery is fist-class and very clear.Read more

Subjects:  1. Computer Mathematics    2. Computer Science    3. Computers    4. Computers - General Information    5. Kolmogorov complexity    6. Logic    7. Reference - General    8. Science/Mathematics    9. Applied mathematics    10. Mathematical theory of computation    11. Mathematics / Statistics   

Reviews (2)

A Unique Contribution
In this book, John Sowa conveys diverse and effective insights within the field of knowledge representation (KR).The frameworks he employs are deeply grounded philosphically.(Sowa's previous work on conceptual structures reactivated and extended the innovative work of Charles Sanders Peirce integrating logic and graph theory.)The work reviewed here surveys a wide range of KR issues from basic ontology to agency and processes.Chapter 6, Knowledge Soup, is widely recognized for framing and addressing some of the more demanding, and largely unresolved, challenges in the field.
Good, but suffers from unnecessary complexity.
I thought the first three chapters did an excellent job of coveringadvances in knowledge representation.However chapter four is marred by anattempt to present what appears to be virtually every syntax used relatingto processes.Somewhere in this gulf of complexity I think he has somebasic concepts, but they are hard to reach.It's equivalent to reading abook on algorithms in which the author presents the algorithms in C, Cobol,Fortran, Basic, SAS, etc.Why not just present the concepts within thecontext of a MINIMUM of syntax?Still the book is worth reading and hasgood appendixes. ... Read more

Subjects:  1. Artificial Intelligence - General    2. Computer Bks - General Information    3. Computer Books: General    4. Computer Science    5. Computers    6. Computers - General Information    7. History    8. Information Theory    9. Knowledge representation (Info    10. Knowledge representation (Information theory)    11. Knowledge-Based Computing    12. Artificial intelligence    13. Computers / Artificial Intelligence    14. Epistemology, theory of knowledge    15. Language & Linguistics   

Reviews (13)

The book has its values, but also got serious problems
Most of other reviewer think highly of this book. I also agree, to a certain extent, that the book's is valuable and fill in the gap between "talks" and "walks".
Great second edition of an applied book on AI
Scientists started the field of AI research in the 1950's with the now largely failed quest to produce machines that think. However, they did open the door to making improved individual products that can "learn" how to do their limited jobs better, and they also opened the door to the use of AI in games and in recommender systems such as you see here on Amazon.
GREAT text for "real world" developers who want more from their apps
One of the major reasons I wrote, "Building Intelligent .NET Applications" was the inspiration I received from reading the first edition of M. Tim Jones book titled, "AI Application Programming". It was the first book I had ever come across that presented AI Programming in a way that professional developers like me could easily absorb. So, I was thrilled when I saw that in 2005, Mr. Jones had released a second edition of his excellent book.
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Subjects:  1. Artificial Intelligence - General    2. Artificial intelligence    3. Computer Books: Languages    4. Computers    5. Computers - General Information    6. Data processing    7. Mathematical models    8. Programming - Software Development    9. Programming Languages - C    10. C & Visual C    11. Software engineering   

Reviews (1)

We're nothing without our networks
As a physicist with a descent background in statistical physics, and who worked as "quant" (financial physicist), I realized that living, dynamic networks play a much more prevalent role in the universe than I had ever imagined.However, until I worked through the well written, accesible pages of this book, my knowledge of dynamic networks was actually still quite dry and smallish.This book will expand your awareness and knowledge of networks AND, thanks to its ample supply of citations to the literature, help you get started on your own desktop PC research.This is a must read book for any self-respecting mathematician and physicist.I think you will more than enjoy it, you will find it useful. And while you're at it, give a looksi at the Amazon reviews of my history based strong science fiction book: Beyond Future Shock It's about the near-term perils and promises of advanced bio/nano technology in a world filled with religious turmoil and ever more ridiculous wealth gradients.
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Subjects:  1. Applied    2. Computer Networks    3. Desktop Publishing    4. Internet - World Wide Web    5. Language    6. Language Arts & Disciplines    7. Mathematical Physics    8. Physics    9. Science    10. Science/Mathematics    11. Study & Teaching    12. Cybernetics & systems theory    13. General Theory of Computing    14. Human biology    15. Neural networks    16. Physics | Mathematical physics    17. Science / Mathematical Physics    18. Statistical physics   

Subjects:  1. Artificial Intelligence - General    2. Automation    3. Computer Vision    4. Control systems    5. Engineering - Mechanical    6. General    7. Medical / Nursing    8. Robot vision    9. Robotics    10. Robots    11. Science/Mathematics    12. Technology    13. Computers / Computer Graphics / General    14. Image processing: graphics (static images)    15. algorithmic learning    16. autonomous agents    17. camera-equiped robots    18. cognitive systems    19. intelligent agents    20. machine learning    21. mobile robots    22. object recognition    23. robot navigation    24. robust control