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Forthcoming Artificial Intelligence Books

You are currently browsing 1–10 of 11 forthcoming new books in the subject of Artificial Intelligence — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books

  1. The Routledge Handbook of Embodied Cognition

    Edited by Lawrence Shapiro

    Series: Routledge Handbooks in Philosophy

    Embodied cognition is one of the foremost areas of study and research in philosophy of mind, philosophy of psychology and cognitive science. The Routledge Handbook of Embodied Cognition is an outstanding guide and reference source to the key topics and debates in this exciting subject and essential...

    To Be Published May 6th 2014 by Routledge

  2. Journeys in Complexity

    Autobiographical Accounts by Leading Systems and Complexity Thinkers

    Edited by Alfonso Montuori

    In this book, fascinating autobiographical accounts by leading scholars in a variety of fields and disciplines provide a rich introduction to the art and science of complexity and systems thinking. We learn how the authors’ interest in complexity thinking developed, the key figures and texts they...

    To Be Published July 8th 2014 by Routledge

  3. Humanoid Robotics and Neuroscience

    Science, Engineering and Society

    Edited by Gordon Cheng

    Series: Frontiers in Neuroengineering Series

    With contributions from prominent scientists, this volume presents a scientific understanding of humans with a view towards developing better-engineered systems and machines for society. It covers dexterous robotic hand control, humanoid vision and locomotion, motor control and learning of motor...

    To Be Published July 24th 2014 by CRC Press

  4. Machine Translation

    By Pushpak Bhattacharyya

    The proposed project on machine translation will be based on the above pedagogy, through the study of phenomena, formalization, and then elucidation of the techniques. Case studies, examples, and historical perspectives will be used extensively to cover the material. The primary aim of this book is...

    To Be Published October 25th 2014 by Chapman and Hall/CRC

  5. Regularization, Optimization, Kernels, and Support Vector Machines

    Edited by Johan Suykens, Marco Signoretto, Andreas Argyriou

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Featuring contributions from leading experts, this volume provides an up-to-date look at large-scale machine learning. It comprehensively covers the latest research and advances in regularization, sparsity, and compressed sensing; convex and large-scale optimization; and kernel methods and SVMs....

    To Be Published October 25th 2014 by Chapman and Hall/CRC

  6. Interactive Digital Narrative

    Edited by Hartmut Koenitz, Mads Haahr, Gabriele Ferri, Tonguc Ibrahim Sezen, Digdem Sezen

    Series: Routledge Studies in European Communication Research and Education

    The book is concerned with narrative in digital media that changes according to user input—Interactive Digital Narrative (IDN). It provides a broad overview of current issues and future directions in this multi-disciplinary field that includes humanities-based and computational perspectives. It...

    To Be Published October 31st 2014 by Routledge

  7. Mathematical Principles of Human Conceptual Behavior

    The Structural Nature of Conceptual Representation and Processing

    By Ronaldo Vigo

    Series: Scientific Psychology Series

    The ability to learn concepts lies at the very core of human cognition, enabling us to efficiently classify, organize, identify, and store complex information. In view of the basic role that concepts play in our everyday physical and mental lives, the fields of cognitive science and psychology face...

    To Be Published November 30th 2014 by Psychology Press

  8. Numerical Algorithms

    Methods for Computer Vision, Machine Learning, and Graphics

    By Justin Solomon

    To Be Published February 14th 2015 by A K Peters/CRC Press

  9. The Uncanny Valley in Games and Animation

    By Angela Tinwell

    To Be Published March 14th 2015 by A K Peters/CRC Press

  10. Implications of Self-organization

    Building Vector Quantizers and Classifiers with Self-organizing Maps

    By Arijit Laha

    Self-organizing maps (SOMs) are among the most interesting classes of neural networks due to their ability to map a non-linear, high-dimensional data space onto a lower dimension, regular lattice space. The resulting mapping exhibits two useful properties: topology preservation and density matching...

    To Be Published April 14th 2015 by Chapman and Hall/CRC