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Artificial intelligence
San Diego, California ; London, [England] : Academic Press, 1996.Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.
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Artificial Intelligence
Arabnia, Hamid R.Bloomfield : C.S.R.E.A., 2017.Artificial Intelligence is a compendium of articles and papers that were presented at ICAI '16, an international conference that serves researchers, scholars, professionals, students, and academicians.
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Computer Science
Stanford Libraries' Computer Science collections include print and online resources to support research and teaching in areas such as artificial intelligence, software engineering, computing ethics, and career development.
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Electrical Engineering
Stanford Libraries' Electrical Engineering collections include print and digital resources for the study of subjects such as artificial intelligence, computational sensing, computer architecture, photonics, signal processing, and amateur radio.
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The Edward A. Feigenbaum Papers
Work in artificial intelligence and computer science at Stanford University
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