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Artificial Intelligence Books

You are currently browsing 1–10 of 43 new and published books in the subject of Artificial Intelligence — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books

  1. Interactive Digital Narrative

    History, Theory and Practice

    Edited by Hartmut Koenitz, Gabriele Ferri, Mads Haahr, Diğdem Sezen, Tonguç İbrahim 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...

    Published April 20th 2015 by Routledge

  2. Understanding Geometric Algebra

    Hamilton, Grassmann, and Clifford for Computer Vision and Graphics

    By Kenichi Kanatani

    Understanding Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision and Graphics introduces geometric algebra with an emphasis on the background mathematics of Hamilton, Grassmann, and Clifford. It shows how to describe and compute geometry for 3D modeling applications in...

    Published April 6th 2015 by A K Peters/CRC Press

  3. Play and Participation in Contemporary Arts Practices

    By Tim Stott

    Series: Routledge Advances in Art and Visual Studies

    This book engages debates in current art criticism concerning the turn toward participatory works of art. In particular, it analyzes ludic participation, in which play and games are used organizationally so that participants actively engage with or complete the work of art through their play. Here...

    Published March 27th 2015 by Routledge

  4. Statistical Reinforcement Learning

    Modern Machine Learning Approaches

    By Masashi Sugiyama

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

    Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for...

    Published March 16th 2015 by Chapman and Hall/CRC

  5. Machine Translation

    By Pushpak Bhattacharyya

    Three paradigms have dominated machine translation (MT)—rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). These paradigms differ in the way they handle the three fundamental processes in MT—analysis, transfer, and generation...

    Published January 13th 2015 by Chapman and Hall/CRC

  6. Humanoid Robotics and Neuroscience

    Science, Engineering and Society

    Edited by Gordon Cheng

    Series: Frontiers in Neuroengineering Series

    Humanoid robots are highly sophisticated machines equipped with human-like sensory and motor capabilities. Today we are on the verge of a new era of rapid transformations in both science and engineering—one that brings together technological advancements in a way that will accelerate both...

    Published December 19th 2014 by CRC Press

  7. The Uncanny Valley in Games and Animation

    By Angela Tinwell

    Advances in technology have enabled animators and video game designers to design increasingly realistic, human-like characters in animation and games. Although it was intended that this increased realism would allow viewers to appreciate the emotional state of characters, research has shown that...

    Published December 10th 2014 by A K Peters/CRC Press

  8. Computational Trust Models and Machine Learning

    Edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim

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

    Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be...

    Published October 29th 2014 by Chapman and Hall/CRC

  9. 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...

    Published October 28th 2014 by Psychology Press

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

    Edited by Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou

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

    Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and...

    Published October 23rd 2014 by Chapman and Hall/CRC