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Check out these books below Cambridge University Press.
Human-Robot Interaction - An Introduction
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| Human-Robot Interaction An Introduction |
The role of robots in society keeps expanding and diversifying, bringing with it a host of issues surrounding the relationship between robots and humans. This introduction to human-robot interaction (HRI), written by leading researchers in this developing field, is the first to provide a broad overview of the multidisciplinary topics central to modern HRI research...
Self-contained chapters discuss a wide range of topics, including the different communication modalities such as speech and language, non-verbal communication and the processing of emotions, as well as ethical issues around the application of robots today and in the context of our future society.
- Minimal prerequisites and modular presentation enable courses to be tailored to fit students with different backgrounds
- Discussion questions and relevant literature at the end of each chapter contribute to deeper conversations in and outside the classroom
- Over ninety color illustrations showcase the history and most recent developments in human-robot interaction
Date Published: May 2020
The Age of Algorithms
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| The Age of Algorithms |
Algorithms are probably the most sophisticated tools that people have had at their disposal since the beginnings of human history. They have transformed science, industry, society. They upset the concepts of work, property, government, private life, even humanity...
Creations of the human spirit, algorithms are what we made them. And they will be what we want them to be: it's up to us to choose the world we want to live in.
- The authors, both eminent computer scientists, avoid simplistic analysis, avoiding both technophile enthusiasm and apocalyptic technophobia
- Examines issues raised by algorithms, in particular work, property, government and privacy, from technical, philosophical, and societal perspectives Explains complex and technical issues in terms everyone can understand
Date Published: April 2020
Multimedia Learning
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| Multimedia Learning |
Advances in computer graphic technologies have inspired new efforts to understand the potential of multimedia instruction as a means of promoting human learning. In Multimedia Learning, Third Edition, Richard E. Mayer takes an evidence-based approach to improving education using well-designed multimedia instruction...
This edition provides an up-to-date and systematic summary of research studies on multimedia learning, supplemented with complementary evidence from around the globe. It is well-suited to graduate and undergraduate courses in psychology, education, computer science, communication, instructional design, and game design.
- Examines the scientific underpinnings of multimedia learning
- Well-suited to graduate and undergraduate courses in psychology, education, computer science, communication, instructional design, and game design
- Provides basic theory and research on the cognitive science of how people learn from words and pictures
- Gives practical evidence-based principles for how to design effective multimedia instruction
- Presents a systematic summary of research studies on multimedia learning, supplemented with complementary evidence from around the globe
Date Published: July 2020
Bandit Algorithms
Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks...
Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes.
- Over 350 exercises, many with solutions, provide an excellent resource for a graduate course or self-study
- Presents mathematical rigor as well as the explanations behind these techniques and approaches
- This self-contained text is both broad and complete
Date Published: July 2020
Happy reading 📚books and drink ☕️coffee!
Source: Cambridge University Press.
