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An introduction to natural language semantics that offers an overview of the empirical domain and an explanation of the mathematical concepts that underpin the discipline.This …
Students explore the idea that thinking is a form of computation by learning to write simple computer programs for tasks that require thought. This book guides students through an …
A project-based guide to the basics of deep learning.This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them …
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, …
What artificial intelligence can tell us about the mind and intelligent behavior.What can artificial intelligence teach us about the mind? If AI's underlying concept is that …
An examination of the implications for society of rapidly advancing artificial intelligence systems, combining a humanities perspective with technical analysis; includes exercises …
The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components. In development for thirty …
A new approach for defining causality and such related notions as degree of responsibility, degrees of blame, and causal explanation.Causality plays a central role in the way …
In this broad and provocative collection of original essays on artificial intelligence today, eighteen distinguished scholars set out to explain why and how certain discoveries …
How to develop robots that will be more like humans and less like computers, more social than machine-like, and more playful and less programmed.Most robots are not very friendly. …