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Learning to Play
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understa...
Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 15th conference of the Canadian Society for Computational Studies of Intelligence, AI 2002, held in Calgary, Canada, in May 2002. The 24 revised full papers presented together with eight posters and ten abstracts of the graduate student symposium were carefully reviewed and selected from 52 full-length paper submissions. The book offers topical sections on agents, searching, neural nets, learning, probability, and natural language.
The Quest for Artificial Intelligence
Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
Minding Creation
Are humans the only creatures that can appreciate God's creation? What if consciousness is spread more widely across all things? This volume examines panpsychism through the lens of Christian doctrine. Minding Creation is the first substantial examination of what a panpsychist theory of consciousness implies for key theological debates concerning God's presence and action, evolution and the origin of the soul, human uniqueness and the environmental crisis. Joanna Leidenhag develops a theological panpsychism that is based on an exceptionally wide range of scholarship. Minding Creation draws on the theologies of historical figures such as Augustine of Hippo, Gottfried von Leibniz and others, i...
Advances in Artificial Intelligence
The AI conference series is the premier event sponsored by the Canadian - ciety for the Computational Studies of Intelligence / Soci ́et ́e canadienne pour l’ ́etude d’intelligence par ordinateur. Attendees enjoy our typically Canadian - mosphere –hospitable and stimulating. The Canadian AI conference showcases the excellent research work done by Canadians, their international colleagues, and others choosing to join us each spring. International participation is always high; this year almost 40% of the submitted papers were from non-Canadian - searchers. We accepted 24 papers and 8 poster papers from 52 full-length papers submitted. We also accepted eight of ten abstracts submitted ...
Minimax and Applications
Techniques and principles of minimax theory play a key role in many areas of research, including game theory, optimization, and computational complexity. In general, a minimax problem can be formulated as min max f(x, y) (1) ",EX !lEY where f(x, y) is a function defined on the product of X and Y spaces. There are two basic issues regarding minimax problems: The first issue concerns the establishment of sufficient and necessary conditions for equality minmaxf(x,y) = maxminf(x,y). (2) "'EX !lEY !lEY "'EX The classical minimax theorem of von Neumann is a result of this type. Duality theory in linear and convex quadratic programming interprets minimax theory in a different way. The second issue concerns the establishment of sufficient and necessary conditions for values of the variables x and y that achieve the global minimax function value f(x*, y*) = minmaxf(x, y). (3) "'EX !lEY There are two developments in minimax theory that we would like to mention.
One Jump Ahead
It’s hard to believe that it’s been over a decade since One Jump Ahead: Challenging Human Supremacy at Checkers was published. I’m delighted to have the oppor- nity to update and expand the book. The ?rst edition ended on a sad note and that was re?ected in the writing. It is now eleven years later and the project has come to a satisfying conclusion. Since its inception, the checkers project has consumed eighteen years of my life— twenty if you count the pre-CHINOOK and post-solving work. It’s hard for me to believe that I actually stuck with it for that long. My wife, Steph, would probably have something witty to say about my obsessive behavior. Rereading the book after a decade w...
ECAI 2010
LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.
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