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| Photo: Storyblocks.com |
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| Artificial Intelligence Foundations of Computational Agents |
The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving.
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The Cambridge Handbook of Artificial Intelligence
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| The Cambridge Handbook of Artificial Intelligence |
With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.
- Accessible and student-friendly, focusing on key topics and avoiding technical jargon
- Includes supporting material, such as annotated chapter-specific further reading sections and an extensive glossary
- Provides concise, authoritative, and up-to-date coverage of a rapidly developing and expand
An Introduction to the Philosophy of Art
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| An Introduction to the Philosophy of Art |
This importance is further elaborated in discussions of artistic beauty, originality, imagination and criticism. His accessible study will be invaluable to students of philosophy of art and aesthetics.
- This new second edition incorporates significant new research from the last ten years, as well as an updated bibliography, a new introduction, and new research on topics including pictorial depiction, musical expression, conceptual art, Hegel, and art and society
- Presents recent work on topics such as the controversies about Mapplethorpe, Finley, et al., and attention to newer forms of conceptual and performance art
- Combines classical and contemporary philosophy, literary theory, and art criticism
Introduction to Game Theory: A Behavioral Approach
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| Introduction to Game Theory: A Behavioral Approach |
- Extensive problem sets and sample exams
- Glossary of terms
- Supplemental lecture material
- Numerical examples for all exercises in the text
- Major concepts highlighted
- Introduces technical material in an easy to understand style
- Includes a wide range of experiments with diverse experimental designs
- Lively examples used to illustrate key concepts
- Problem sets contain a wealth of additional material from experimental and game theory literature
- Accessible to a lay audience
- Cover game theory concepts up to and including Bayesian Nash equilibrium
- Includes key terms and concepts for behavioral game theory (which differs from standard game theory)
- Includes in class experiments that correspond to key concepts in the book
Algorithms - Design and Analysis
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| Algorithms Design and Analysis |
- Offers in-depth treatment of topics such as complexity analysis, design paradigms, data structures, and machine learning algorithms
- Introduces topics like Decrease and Conquer, Transform and Conquer and PSpace along with standards paradigms
- Explains numerical methods including Euclids theorem and Chinese Remainder Theorem and also reviews essential mathematical concepts
- Provides points-to-remember and a list of key terms at the end of each chapter which will help readers to quickly recollect important concepts
- Exercises given at the end of each chapter and in the Appendix 10 would help students prepare for their examinations and job interviews
The Multiple Realization Book
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| The Multiple Realization Book |
- Essential reading for philosophers and scientists working on mind and brain
- Illuminated by case studies from recent scientific results
- Presents the historical and philosophical context of the debate
- Clearly organised, and concise
- Includes a Guide for Teaching and Learning, comprising of questions to prompt and direct discussion, and suggestions for additional reading
Source: Cambridge University Press and Oxford University Press
