THE INTERNATIONAL DICTIONARY OF ARTIFICIAL INTELLIGENCE
Anticipating the needs of professionals and researchers alike, this Dictionary is the first up-to-date reference volume on a discipline of ever-growing importance. Artificial intelligence is rapidly becoming the foundation discipline for thousands of new applications and will have dramatic effects on virtually every activity we engage in.
This essential reference features over 2,500 entries, all defined and explained and illustrated, as well as detailed explanations of major concepts in related disciplines. A completely cross-referenced index, annotated bibliography, and extensive appendix of World Wide Web sites on the latest trends in AI, all will make this a favorite resource for practitioners and researchers around the world

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Artificial Intelligence (AI) has started the evolution in computer science. It is in good health, as many companies qualify their novelties as ‘smart’ or ‘intelligent’. The term ‘society of knowledge’ draws society nearer to the future and is a symbol of breakthrough. From this perspective, AI has reached maturity and has exploded into an endless set of sub-areas, getting in touch with all other disciplines, such as; situation assessment, analysis and interpretation of music, management of environmental and biological systems, planning trains, routing of communication networks, assisting medical diagnosis or powering auctions. The wide variety of Artificial Intelligence application areas has meant that AI researchers often become scattered in different micro specialized fields. There are few occasions where the AI research community joins together, while computer scientists and engineers can find a lot of interesting ideas from the cross fertilization of results! coming from all of these application areas. This book provides a representative selection of papers promoting synergies in the research community and includes papers on: Neural Networks, Computer Vision, Applications, Machine Learning, Reasoning, Planning and Robotics, and Multi-Agent Systems.. All of the papers collected in this volume would be of interest to any computer scientist or engineer interested in AI.

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ARTIFICIAL INTELLIGENCE Strategies, Applications, and Models Through Search Second Edition This innovative new book on artificial intelligence (AI) uses the unifying thread of SEARCH to bring together the major application and modeling techniques that use symbolic AI. Each of the eleven chapters is divided into three sections: ** a section which introduces the technique ** a section which develops a low-level (POP-11) implementation ** a section which develops a high-level (Prolog) implementation Comprehensive yet practical, this book will be of great value to those experienced in AI, as well as to students with some programming background and academics and professionals looking for a precise discussion of artificial intelligence through SEARCH.

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Combines the theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object and agent-based architectures, along with example programs written in LISP and PROLOG. The practical applications of AI have been kept within the context of its broader goal: understanding the patterns of intelligence as it operates in this world of uncertainty, complexity and change.

The introductory and concluding chapters take a new look at the potentials and challenges facing artificial intelligence and cognitive science. An extended treatment of knowledge-based problem-solving is given including model-based and case-based reasoning. Includes new material on: Fundamentals of search, inference and knowledge representation AI algorithms and data structures in LISP and PROLOG Production systems, blackboards, and meta-interpreters including planers, rule-based reasoners, and inheritance systems. Machine-learning including ID3 with bagging and boosting, explanation based

learning, PAC learning, and other forms of induction Neural networks, including perceptrons, back propogation, Kohonen networks, Hopfield networks, Grossberg learning, and counterpropagation. Emergent and social methods of learning and adaptation, including genetic algorithms, genetic programming and artificial life. Object and agent-based problem solving and other forms of advanced knowledge representation

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Artificial Intelligence applications build on a rich and proven theoretical background to provide solutions to a wide range of real life problems. The ever expanding abundance of information and computing power enables researchers and users to tackle higly interesting issues for the first time, such as applications providing personalized access and interactivity to multimodal information based on preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The purpose of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) is to bring together researchers, engineers, and practitioners interested in the technical advances and business and industrial applications of intelligent systems. AIAI 2006 is focused on providing insights on how AI can be implemented in real world applications

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Book Description
Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text

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Book Description:
For the past fifty years researchers have been striving to create machines that rival the thinking capacity of humans. In Artificial Intelligence learn how AI experts simulate the human brain and construct smart robots. Today AI touches every aspect of our lives from business and medicine to exploration and entertainment

Book Description:
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2004, held in Varna, Bulgaria in September 2004.

The 52 revised full papers presented were carefully reviewed and selected from 176 submissions. The papers are organized in topical sections on ontology engineering, semantic Web services, knowledge representation and processing, machine learning and data mining, natural language processing, soft computing, neural networks, e-learning systems, multiagent systems, pattern recognition, intelligent decision making, and information retrieval

Product Description:
With advances and in-depth applications of computer technologies, and the extensive applications of Web technology in various areas, databases have become the repositories of large volumes of data. It is very critical to manage data resources for effective problem solving and decision making. Collecting and presenting the latest research and development results from the leading researchers in the field of intelligent databases, Intelligent Databases: Technologies and Applications provides a single record of current research and practical applications in this field. Intelligent Databases: Technologies and Applications integrates data management in databases with intelligent data processing and analysis in artificial intelligence. This book challenges todays database technology and promotes its evolution

Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.

Key Features
* Up-to-date account of how computational ideas and techniques are relevant to psychology
* Includes discussions of "classical" (symbolic) AI, of connectionism (neural nets), of evolutionary programming, and of A-Life
* Discusses a wide range of psychology from low-level vision to creativity

The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with Uncertainty explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. The authors focus on the importance of natural language-the carrier of knowledge and intelligence-for artificial intelligence (AI) study. This book develops a framework that shows how uncertainty in AI expands and generalizes traditional AI. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy. With in-depth discussions on the fundamentals, methodologies, and uncertainties in AI, this book explains and simulates human thinking, leading to a better understanding of cognitive processes

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Book Description
Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation.

Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library.

Key features of this second edition include:

* A tutorial, hands-on based presentation of the material.
* State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI).
* New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems.
* A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms.
* Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework.

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