… Great Minds Preferred Publisher of Leading Thinkers Artificial Intelligence and Fuzzy Logic FUZZY LOGIC FOR … has been a strong tool for combining new theories (called soft computing) such … Pg 2 Pg 3 Pg 7 HIGHLIGHTS Connecting Great Minds Preferred Publisher of Leading Thinkers Artificial Intelligence and Fuzzy Logic FUZZY LOGIC FOR BEGINNERS by Masao Mukaidono(Meiji University, Japan) There are many uncertainties in the real world. Fuzzy theory treats a kind of uncertainty called fuzziness, where it shows that the boundary of yes or …

ADVANCES IN ARTIFICIAL INTELLIGENCE FOR PRIVACY PROTECTION AND SECURITY edited by Agusti Solanas & Antoni Martínez-Ballesté (Rovira i Virgili University, Spain) In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas, which are explored in this book. On the one hand, individual privacy protection is a hot topic and must be addressed in order to guarantee the proper evolution of a modern society. On the other, security can invade individual privacy, especially after the appearance of new forms of terrorism. In this book, we analyze these problems from a new point of view. Contents: Statistical Disclosure Control; Location-based Services; Statistical Databases; Homeland Security; Robotics; Cryptography and Security Protocols; Intrusion Detection Systems; Denial of Service Attacks; Image Analysis; Evolutionary Computation; Pattern Recognition; Neural Networks; Multi-agent Systems; Clustering; Case-based Reasoning; Fuzzy Logic. Readership: Researchers, academics and graduate students in artificial intelligence, security and privacy. Series in Machine Perception and Artificial Intelligence - Vol. 71 RECOGNITION OF WHITEBOARD NOTES Online, Offline and Combination by Marcus Liwicki (DFKI GmbH, Germany) & Horst Bunke (University of Bern, Switzerland) This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting. The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system. The experimental results on the test set show a highly significant improvement of the recognition performance to more than 86%. Contents: Classification Methods; Linguistic Resources and Handwriting Databases; Off-Line Approach; On-Line Approach; Multiple Classifier Combination; Writer-Dependent Recognition. Readership: Researchers in academia and industry and graduate students working in document analysis, handwriting recognition, pattern recognition, and artificial intelligence. 228pp Oct 2008 978-981-281-453-1 US$85 £45 UNCERTAINTY AND INTELLIGENT INFORMATION SYSTEMS edited by Bernadette Bouchon-Meunier, Christophe Marsala, Maria Rifqi (Université Pierre et Marie Curie-Paris 6, France) & Ronald R Yager (Iona College, USA) Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems. Contents: Uncertainty Modeling; Clustering, Classification and Summarization; Decision Making and Information Processing; Systems Modeling and Applications; Logic and Mathematical Structures. Readership: Academics, graduate and postgraduate students in the fields of artificial intelligence and fuzzy logic. 536pp Jul 2008 978-981-279-234-1 US$142 £75 FOUNDATIONS OF DECISION-MAKING AGENTS Logic, Probability and Modality by Subrata Das (Charles River Analytics Inc., USA) Key Features •*Includes*balanced*discussions*on*theory* and practice •*Provides*readers*with*various*practical* ways of modeling and reasoning with agent epistemic states for decision making, such as resolution-based logic programming paradigm, Bayesian belief networks, and modal resolution schemes •*Presents*frameworks*specific*to*decision* making, such as the logic-based production rule and belief network-based influence diagrams incorporating the notions of action and utility…..

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