Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain

Rating:
Summary: The book is useful to a wide audience.
Review: I liked the book for its extensive coverage and depth. The case studies are interesting and useful. Many chapters are new and hardly found in most texts. The book is highly readable. Computer professionals will find the CD containg the programs to illustrate the case studies most interesting.

Rating:
Summary: The Most Valuable AI Book by a Great Writer!
Review: The book by Amit Konar is a new addition to the disciplines of Artificial Intelligence and Soft Computing. I am greatly charmed with the presentation style of the author. The chapters on Imprecision and Uncertainty Management (ch.9), Fuzzy Petrinet (ch.10), Spatial and temporal Reasoning (ch.11), neural nets. (ch.14) and genetic algorithm (ch.15) impressed me much both for their simplicity and research-orientation. The book started with a humble beginning on psychological model of perception in chapter 2, and introduced many new concepts to formalize the theory of perception. The last two chapters in the book deal with applications of cognitive science in a criminology application and navigational planning of mobile robots respectively. The CD included with the book contains the programs used to demonstrate the concepts of the last two chapters. The programs can easily be run even by a novice user with the guidelines presented in Appendix-A.I wish you will enjoy reading this valuable book, the price paid for which is justified enough.

Rating:
Summary: The Most Valuable AI Book by a Great Writer!
Review: The book by Amit Konar is a new addition to the disciplines of Artificial Intelligence and Soft Computing. I am greatly charmed with the presentation style of the author. The chapters on Imprecision and Uncertainty Management (ch.9), Fuzzy Petrinet (ch.10), Spatial and temporal Reasoning (ch.11), neural nets. (ch.14) and genetic algorithm (ch.15) impressed me much both for their simplicity and research-orientation. The book started with a humble beginning on psychological model of perception in chapter 2, and introduced many new concepts to formalize the theory of perception. The last two chapters in the book deal with applications of cognitive science in a criminology application and navigational planning of mobile robots respectively. The CD included with the book contains the programs used to demonstrate the concepts of the last two chapters. The programs can easily be run even by a novice user with the guidelines presented in Appendix-A.I wish you will enjoy reading this valuable book, the price paid for which is justified enough.

Rating:
Summary: Cognitive Modeling of Human Brain- A paradigm Shift
Review: This book covers a wide spectrum of tools, techniques, theory and simulation of AI and Soft Computing. The book introduces an interesting as well as impressive area i.e. cognitive modeling of human brain- definitely a new paradigm in Artificial Intelligence. Soft computing tools has been explained in a lucid manner for the under graduate and graduate students. Interesting programs on Soft Computing has been provided in the book for simulation. Particularly, the program on Genetic Algorithm for robot path planning is quite interesting. Structural organization given in the preface, helps the novice readers, as well as the teachers in covering the course contents efficiently. Another vital feature of this book is that it has been written in such a fashion that the reader can easily know the name contributors of the original research work. As a teacher of AI for the undergraduates and graduate students, I always look at the course contents of the book, coverage of each chapter and as well as the exercise there in. This book is arranged so nicely that, it becomes very easy on the part of the teacher for designing the course in a modular fashion. Secondly the exercise given in the book is of much use to the students, which I have already experienced in my tutorial class. The book shows many open problems in each chapter, which are yet to be solved. This is quite helpful to the researcher as well as to research guide. As a researcher in this area, I should appreciate the efforts put in to this book. The book can be used as a handbook of AI and Soft Computing for the students, researchers, and the teachers of this area. I strongly, recommend this book for the students of AI, which I have already done for my under graduate and graduate students.

Rating:
Summary: An excellent book for both beginners and experts.
Review: This is an excellent book to understand AI. Thanks to the author for his best effort. The book may be used as a text. Examples presented in the book are thought provoking. Both beginners and experts would find it useful.