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Books in Artificial intelligence general

71-80 of 102 results in All results

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

  • 1st Edition
  • December 9, 2014
  • Leonidas Deligiannidis + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 2 0 4 5 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 2 0 9 2 - 0
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data.

Artificial Intelligence in Design '91

  • 1st Edition
  • May 23, 2014
  • J. S. Gero
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 1 - 6 4 8 0 - 9
Artificial Intelligence in Design '91 is a collection of 47 papers from the First International Conference on Artificial Intelligence in Design held at Edinburgh in June 1991. The papers in this book are grouped into 13 headings, starting with a background of AI design systems and to which extent AI that results from being used as planning tool be applied to quality-oriented design processes in architecture. A constraint-driven approach to object-oriented design is also shown on real-world objects. The use of CADSYN in the structural design of buildings is examined, along with design-dependent knowledge and design-independent knowledge. Discussions on empowering designers with integrated design environments are given whereby design objects may be retrieved from catalogues without requiring users to form queries. Mention is given to automated adjustment of parameter values frequently used in computer routine applications. The book also introduces the Computer Aided Design (CAD) as applied to architecture. Design representation using data models, non-monotonic reasoning in design, and the cognitive aspects of design using empirical studies are discussed. Topics of the industrial applications of AI in design, such as the needed steps to develop a successful AI-based tool, and a review of the Castlemain Project and telecommunication distribution networks follow. This book is suitable for programmers, computer science students, and architects and engineers who use computers in their line of work.

Computer-Aided Architectural Design Futures

  • 1st Edition
  • May 20, 2014
  • Alan Pipes
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 1 - 6 2 2 7 - 0
Computer-Aided Architectural Design Futures contains the proceeding of the International Conference on Computer-Aided Architectural Design, held at Department of Architecture, Technical University of Delft, The Netherlands on September 18-19, 1985. Organized into four parts, the book underlines concepts on computer-aided architectural design. These include systematic design; drawing and visualization; artificial intelligence and knowledge engineering; and implications for practice. This book will be a major reference text for students, researchers, and practitioners.

Relevance Ranking for Vertical Search Engines

  • 1st Edition
  • January 25, 2014
  • Bo Long + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 0 7 1 7 1 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 4 0 7 2 0 2 - 2
In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals.

Intelligent Networks

  • 1st Edition
  • July 3, 2013
  • Syed V. Ahamed
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 4 1 6 6 3 0 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 6 6 7 0 - 7
This textbook offers an insightful study of the intelligent Internet-driven revolutionary and fundamental forces at work in society. Readers will have access to tools and techniques to mentor and monitor these forces rather than be driven by changes in Internet technology and flow of money. These submerged social and human forces form a powerful synergistic foursome web of (a) processor technology, (b) evolving wireless networks of the next generation, (c) the intelligent Internet, and (d) the motivation that drives individuals and corporations. In unison, the technological forces can tear human lives apart for the passive or provide a cohesive set of opportunities for the knowledgeable to lead and reap the rewards in the evolved knowledge society. The book also provides in-depth coverage of the functions embedded in modern processors and intelligent communication networks. It focuses on the convergence of the design of modern processor technologies with the switching and routing methodologies of global intelligent networks. Most of the concepts that are generic to the design of terra-flop parallel processors and the terra-bit fiber-optic networks are presented. This book also highlights recent developments in computer and processor technologies into the microscopic and macroscopic medical functions in hospitals and medical centers.

Swarm Intelligence and Bio-Inspired Computation

  • 1st Edition
  • May 16, 2013
  • Xin-She Yang + 4 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 4 0 5 1 6 3 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 4 0 5 1 7 7 - 5
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers.

Universe, Human Immortality and Future Human Evaluation

  • 1st Edition
  • December 6, 2011
  • Alexander Bolonkin
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 5 8 1 0 - 8
This book debates the universe, the development of new technologies in the 21st century and the future of the human race. Dr Bolonkin shows that a human soul is only the information in a person’s head. He offers a new unique method for re-writing the main brain information in chips without any damage to the human brain. This is the scientific prediction of the non-biological (electronic) civilization and immortality of the human being. Such a prognosis is predicated upon a new law, discovered by the author, for the development of complex systems. According to this law, every self-copying system tends to be more complex than the previous system, provided that all external conditions remain the same. The consequences are disastrous: humanity will be replaced by a new civilization created by intellectual robots (which Dr Bolonkin refers to as "E-humans" and "E-beings"). These creatures, whose intellectual and mechanical abilities will far exceed those of man, will require neither food nor oxygen to sustain their existence. They may have the emotion. Capable of developing science, technology and their own intellectual abilities thousands of times faster than humans can, they will, in essence, be eternal.

Information Flow and Knowledge Sharing

  • 1st Edition
  • Volume 2
  • March 10, 2008
  • Flavio Soares Correa da Silva + 1 more
  • Frank van Harmelen + 1 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 6 9 9 0 - 1
Except from the ForewordThe stated aim of the book series "Capturing Intelligence" is to publish books on research from all disciplines dealing with and affecting the issue of understanding and reproducing intelligence artificial systems. Of course, much of the work done in the past decades in this area has been of a highly technical nature, varying from hardware design for robots, software design for intelligent agents, and formal logic for reasoning.It is therefore very refreshing to see Information Flow and Knowledge Sharing. This is a courageous book indeed. It is not afraid to tackle the Big Issues: notions such as information, knowledge, information system, information flow, collaborative problem solving, and ontological reasoning. All of these notions are crucial to our understanding of intelligence and our building of intelligent artificial systems, but all too often, these Big Issues are hidden behind the curtains while the technical topics take center stage. AI has a rich history of philosophical books that have chosen a non-standard structure and narrative. It is nice to see that the authors have succeeded into combining a non-standard approach to deep questions with a non-standard format, resulting in a highly interesting volume.Frank van Harmelen, Series EditorExcerpt from the IntroductionOur interest is to promote, through a better and deeper understanding of the notions of information and knowledge, a better and deeper critical understanding of information technology as situated in the full range of human activities, assuming as a principle that this range of activities cannot be properly appreciated when it is reduced to the simplified means-end schema proposed by Technology. We invite the reader to build his/her own points of view about these notions, considering our propositions as a starting point for a critical analysis and discussion of these points. With that, we believe we are contributing to a better understanding of the impact of technology – and particularly of Information Technology – in everyday life. Flavio Soares Correa da Silva, Jaume Agusti-Cullell

Handbook of Knowledge Representation

  • 1st Edition
  • Volume 1
  • December 18, 2007
  • Frank van Harmelen + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 5 2 2 1 1 - 5
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 5 7 0 2 - 1
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI.

Modern Information Processing

  • 1st Edition
  • February 8, 2006
  • Bernadette Bouchon-Meunier + 2 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 6 1 6 9 - 4
The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy. The book represents the cultural policy of IPMU conference which is not focused on narrow range of methodologies, but on the contrary welcomes all the theories for the management of uncertainty and aggregation of information in intelligent systems, providing a medium for the exchange of ideas between theoreticians and practitioners in these and related areas.The book is composed by 7 sections: UNCERTAINTYPREFERENCESCLASSIFICATION AND DATA MININGAGGREGATION AND MULTI-CRITERIA DECISION MAKINGKNOWLEDGE REPRESENTATION•The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. •The book can help to build brigs among theories and methods methods for the management of uncertainty. •The book addresses issues which have a position of centrality in our information-centric world. •The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). •The book contributes to the goal: an efficient use of the information for a good decision strategy.APPLIED DOMAINS