AnnotationOCLC-licensed vendor bibliographic record.
"Reprinted from Artificial intelligence, volume 72, numbers 1-2 (January 1995) and volume 73, numbers 1-2 (February 1995)"--Title page verso.Over time the field of artificial intelligence has developed an "agent perspective" expanding its focus from thought to action, from search spaces to physical environments, and from problem-solving to long-term activity. Originally published as a special d…
Includes appendix 12A: a walking tour of the computational ideas underlying classifier systems.Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines. Theirs is the first major effort to bring the ideas of several disciplines to bear on a subject that has been a…
A new computationalist view of the mind that takes into account real-world issues of embodiment, interaction, physical implementation, and semantics. Classical computationalism—-the view that mental states are computational states—-has come under attack in recent years. Critics claim that in defining computation solely in abstract, syntactic terms, computationalism neglects the real-time…
"The artificial intelligence revolution is leaving behind small businesses and organizations who cannot afford to hire in-house teams of data scientists to build bespoke models. This book explores the nature of repeated quantitative tasks driving business optimization, from the perspective of economics, statistics, decision making under uncertainty, and privacy preserving computation"--OCLC-lic…
Within cognitive science, two approaches currently dominate the problem of modeling representations. The symbolic approach views cognition as computation involving symbolic manipulation. Connectionism, a special case of associationism, models associations using artificial neuron networks. Peter Gärdenfors offers his theory of conceptual representations as a bridge between the symbolic and conn…
The truth about robots: two experts look beyond the hype, offering a lively and accessible guide to what robots can (and can't) do. There's a lot of hype about robots; some of it is scary and some of it utopian. In this accessible book, two robotics experts reveal the truth about what robots can and can't do, how they work, and what we can reasonably expect their future capabilities to be. It w…
Here the authors introduce techniques for formalizing deductive argumentation in artificial intelligence, emphasising emerging formalizations for practical argumentation. They discuss how arguments can be constructed, how key intrinsic and extrinsic factors can be identified, and how these analyses can be harnessed in the real world.OCLC-licensed vendor bibliographic record.
"A glimpse into the future of intelligent machines, and a journey through the laboratories and researchers that are building them. The book offers a mix of fiction and nonfiction narrative: readers can "see" a world, a few decades away, where intelligent machines have become reality, and learn about the science brewing in today's labs and the technical and socioeconomic challenges, often throug…
"80 experimental scenarios help us understand how humans judge AIs as opposed to other humans in the same situation"--OCLC-licensed vendor bibliographic record.