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9780241404829 (hardcover 1st edition) Artificial Intelligence: A Guide for Thinking Humans is a 2019 nonfiction book by Santa Fe Institute professor Melanie Mitchell. [1] The book provides an overview of artificial intelligence (AI) technology, and argues that people tend to overestimate the abilities of artificial intelligence. [2][3]
Melanie Mitchell was born and raised in Los Angeles, California. [4] She attended Brown University in Providence, Rhode Island , where she studied physics, astronomy and mathematics. Her interest in artificial intelligence was spurred in college when she read Douglas Hofstadter's Gödel, Escher, Bach .
Douglas Richard Hofstadter (born February 15, 1945) is an American cognitive and computer scientist whose research includes concepts such as the sense of self in relation to the external world, [3] [4] consciousness, analogy-making, strange loops, artificial intelligence, and discovery in mathematics and physics.
In 1983 he took a sabbatical year at MIT, working in Marvin Minsky's Artificial Intelligence Lab. There he met and collaborated with Melanie Mitchell , who then became his doctoral student. Subsequently, Hofstadter moved to the University of Michigan, where the FARG (Fluid Analogies Research Group) was founded.
Copycat is a model of analogy making and human cognition based on the concept of the parallel terraced scan, developed in 1988 by Douglas Hofstadter, Melanie Mitchell, and others at the Center for Research on Concepts and Cognition, Indiana University Bloomington. [1] The original Copycat was written in Common Lisp and is bitrotten (as it ...
A cognitive architecture refers to both a theory about the structure of the human mind and to a computational instantiation of such a theory used in the fields of artificial intelligence (AI) and computational cognitive science. [1] These formalized models can be used to further refine comprehensive theories of cognition and serve as the ...
Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. This contrasts with narrow AI , which is limited to specific tasks.
An abstracted, AI general intelligence is a remote prospect, if feasible at all. Melanie Mitchell notes that an AI program called AlphaGo bested one of the world's best Go players, but that its "intelligence" is nontransferable: it cannot "think" about anything except Go. Mitchell writes: "We humans tend to overestimate AI advances and ...