Books
We've found 388 books relevant to the field of humanlike conversational artificial intelligence.
| Subtitle: |
How the Most Valuable Content Will be Created in the Age Beyond Gutenberg to Google |
| Publisher: |
Pfeiffer
|
| Year: |
2009 |
| Order: |
http://www.amazon.com/dp/B002Q... |
Summary: This exciting work offers designers a new way to see the world, model it, and present it through simulations. A groundbreaking resource, it includes a wealth of new tools and terms and a corresponding style guide to help understand them. The author - a globally...
| Subtitle: |
An Innovative (and Perhaps Revolutionary) Approach to e-Learning |
| Publisher: |
Pfeiffer
|
| Year: |
2003 |
| Order: |
http://www.amazon.com/Simulati... |
Summary: Simulations and the Future of Learning offers trainers and educators the information and perspective they need to understand, design, build, and deploy computer simulations for this generation. Looking back on his recent first-hand experience as lead designer for an advanced leadership development simulation, author Clark...
| Subtitle: |
Strategies for Online Instruction |
| Publisher: |
Jossey-Bass
|
| Year: |
2009 |
| Order: |
http://www.amazon.com/Learning... |
Summary: Higher education institutions are increasingly delivering content online, but the content is often not sufficiently engaging. Learning Online with Games, Simulations, and Virtual Worlds provides a simple and practical guide to identifying when and what kind of games, simulations, and virtual environments should be used,...
| |
10495
by Randy Hinrichs and Charles Wankel |
Summary: This book is a practical guide on how to transform your ideas from virtual world course ware to virtual world learning experiences. The book argues that setting up learning in 3D virtual worlds requires a transformative approach. The advice given in this book comes from...
| Subtitle: |
Theory, Algorithms, Practicalities |
| Publisher: |
Morgan Kaufmann
|
| Year: |
2005 |
| Order: |
http://www.amazon.com/Machine-... |
Summary: Machine Vision.Theory, Algorithms, Practicalities constitutes a thoroughly updated solid text reference for an increasingly important field related to artificial intelligence, robotics and image processing.
| |
10459
by Ronald Brachman and Hector Levesque |
| Publisher: |
Morgan Kaufmann
|
| Year: |
2004 |
| Order: |
http://www.amazon.com/Knowledg... |
Summary: Knowledge Representation and Reasoning is an eminently readable, well-motivated and informative introduction to Knowledge Representation domain which is a key area in artificial intelligence.
| |
10449
by Frederick Jelinek |
| Publisher: |
The MIT Press
|
| Year: |
1998 |
| Order: |
http://www.amazon.com/Statisti... |
Summary: This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of...
| Subtitle: |
Introduction to |
| Publisher: |
The MIT Press
|
| Year: |
2009 |
| Order: |
http://www.amazon.com/Introduc... |
Summary: The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that...
| |
10447
by Tom Michael Mitchell |
Summary: This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
| Subtitle: |
and Scientific Method |
| Publisher: |
Oxford University Press
|
| Year: |
1996 |
| Order: |
http://www.amazon.com/Artifici... |
Summary: Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies focuses on two key topics within AI: machine learning in the Turing...
