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Fighting Terror in Cyberspace (Series in Machine Perception & Artifical Intelligence)
Fighting Terror in Cyberspace (Series in Machine Perception & Artifical Intelligence)
The Internet, or the ARPANET in its original name, was a remarkable idea. The Net was designed in the late 60's by US ARPA (Advanced Research Projects Agency) to connect distant computers to each other. This was a critical need at a time when each computer was a precious resource of computing power, which, if connected, could be shared among...
Fundamentals of Robotics: Linking Perception to Action (Machine Perception and Artificial Intelligence, 54)
Fundamentals of Robotics: Linking Perception to Action (Machine Perception and Artificial Intelligence, 54)
Tomorrow's robots, which includes the humanoid robot, can perform task like tutoring children, working as tour guides, driving humans to and from work, do the family shopping etc. Tomorrow's robots will enhance lives in ways we never dreamed possible. No time to attend the decisive meeting on Asian strategy? Let your robot go for you and make the...
Intelligent Virtual World: Technologies and Applications in Distributed Virtual Environment
Intelligent Virtual World: Technologies and Applications in Distributed Virtual Environment
In the last few years we have observed an explosive growth of multimedia computing, communication and applications. Thls revolution is transforming the way people live, work, and interact with each other, and is impacting the way business, government services, education, entertainment, and health care are operating. Yet, several issues related to...
Graph -Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence)
Graph -Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence)
Graphs are mathematical constructs for representing objects or systems which contain structural (i.e. relationship) information. Graphs have been used in many domains, from software engineering to artificial intelligence. However, the use of graphs in machine learning has been limited, compared to the more prevalent vector model which does not...
Planar Graph Drawing
Planar Graph Drawing
The book presents the important fundamental theorems and algorithms on planar graph drawing with easy-to-understand and constructive proofs. Extensively illustrated and with exercises included at the end of each chapter, it is suitable for use in advanced undergraduate and graduate level courses on algorithms, graph theory, graph drawing,...
The Iterated Prisoners' Dilemma: 20 Years on (Advances in Natural Computation)
The Iterated Prisoners' Dilemma: 20 Years on (Advances in Natural Computation)
In 1984, Robert Axelrod reported the results of two iterated prisoner's dilemma (IPD) competitions [Axelrod (1984)]. The booked was to be a catalyst for much of the research in this area since that time. It is unlikely that you would write a scientific paper about IPD, without citing Axelrod's 1984 book. The book is even more remarkable in that it...
The Mathematical Theory of Nonblocking Switching Networks (Series on Applied Mathematics, Volume 11)
The Mathematical Theory of Nonblocking Switching Networks (Series on Applied Mathematics, Volume 11)
The first edition of this book covered in depth the mathematical theory of nonblocking multistage interconnecting networks, which is applicable to both communication and computer networks. This comprehensively updated version puts more emphasis to the multicast and multirate networks which are under fast development recently due to their wide...
Real-Time Systems: Modeling, Design, and Applications (Amast Series in Computing)
Real-Time Systems: Modeling, Design, and Applications (Amast Series in Computing)
This book collects the efforts developed by a series of researchers, presented at AMAST Workshops on Real-Time Systems. The authors whose papers were selected for this book are major players in this area, and they were given the opportunity to refine the text of their papers as a result of the lively discussions that took place during the...
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems)
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems)
Artificial neural networks are, as their name indicates, computational networks which attempt to simulate, in a gross manner, the networks of nerve cell (neurons) of the biological (human or animal) central nervous system. This simulation is a gross cell-by-cell (neuron-by-neuron, element-by-element) simulation. It borrows from the...
Experiments in Undergraduate Mathematics: A Mathematica-Based Approach
Experiments in Undergraduate Mathematics: A Mathematica-Based Approach
All students need to master a variety of mathematical tools and concepts at the start of their university career. This distinctive book helps students learn these by doing. The approach is interactive, using experiments, performed in the symbolic algebra package Mathematica, to impart the fundamentals of many of the topics students encounter. A...
Evolutionary Robotics: From Algorithms to Implementations
Evolutionary Robotics: From Algorithms to Implementations
Modern robotics has moved from the industrial manufacturing environment to human environment for service and entertainment in the recent few years. The human environment is typically unstructured and quite often everchanging, the robot is required to be capable of independently learning the dynamic environment as well as continuously adjusting its...
Quantum Information And Computing (Quantum Probability and White Noise Analysis)
Quantum Information And Computing (Quantum Probability and White Noise Analysis)
This volume constitutes the proceedings of the international conference on "Quantum Information 2003" held in Tokyo University of Science/Tokyo (Japan) from 1 to 3 November 2003, in International Institute for Advanced Studies/Kyoto (Japan) from 5 to 7 November 2003, in University of Waseda/Tokyo (Japan) from 29 to 31 October 2003, in...
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