Author: Lucille Alice Suchman
Publisher: Cambridge University Press
ISBN: 9780521675888
Category : Computers
Languages : en
Pages : 332

View

Book Description
Publisher description

Author: Lucille Alice Suchman
Publisher: Cambridge University Press
ISBN: 9780521337397
Category : Computers
Languages : en
Pages : 224

View

Book Description
A compelling case for the re-examination of interface design models is presented by this text's assertion that human behavior is not taken into account in the planning model generally favored by artificial intelligence.

Author: Natasha Dow Schüll
Publisher: Princeton University Press
ISBN: 0691127557
Category : Computers
Languages : en
Pages : 457

View

Book Description
machines stems from the consumer, the product, or the interplay between the two. --

Author: Gregory E. Pence
Publisher: Rowman & Littlefield
ISBN: 1442217642
Category : Philosophy
Languages : en
Pages : 188

View

Book Description
Medicine has recently discovered spectacular tools for human enhancement. Yet to date, it has failed to use them well, in part because of ethical objections. Meanwhile, covert attempts flourish to enhance with steroids, mind-enhancing drugs, and cosmetic surgery—all largely unstudied scientifically. The little success to date has been sporadic and financed privately. In How to Build a Better Human, prominent bioethicist Gregory E. Pence argues that people, if we are careful and ethical, can use genetics, biotechnology, and medicine to improve ourselves, and that we should publicly study what people are doing covertly. Pence believes that we need to transcend the two common frame stories of bioethics: bioconservative alarmism and uncritical enthusiasm, and that bioethics should become part of the solution—not the problem—in making better humans.

Author: William Hoppitt
Publisher: Princeton University Press
ISBN: 1400846501
Category : Science
Languages : en
Pages : 320

View

Book Description
Many animals, including humans, acquire valuable skills and knowledge by copying others. Scientists refer to this as social learning. It is one of the most exciting and rapidly developing areas of behavioral research and sits at the interface of many academic disciplines, including biology, experimental psychology, economics, and cognitive neuroscience. Social Learning provides a comprehensive, practical guide to the research methods of this important emerging field. William Hoppitt and Kevin N. Lala define the mechanisms thought to underlie social learning and demonstrate how to distinguish them experimentally in the laboratory. They present techniques for detecting and quantifying social learning in nature, including statistical modeling of the spatial distribution of behavior traits. They also describe the latest theory and empirical findings on social learning strategies, and introduce readers to mathematical methods and models used in the study of cultural evolution. This book is an indispensable tool for researchers and an essential primer for students. Provides a comprehensive, practical guide to social learning research Combines theoretical and empirical approaches Describes techniques for the laboratory and the field Covers social learning mechanisms and strategies, statistical modeling techniques for field data, mathematical modeling of cultural evolution, and more

Author: Benjamin Tyson Duranske
Publisher: American Bar Association
ISBN: 9781604420098
Category : Law
Languages : en
Pages : 484

View

Book Description
If you are one of the many who have read about and heard about virtual worlds but do not really understand what a virtual world is, or even how to use appropriate terminology when discussing them, then this is the book for you."--Jacket.

Author: Brian Cantwell Smith
Publisher: MIT Press
ISBN: 0262355213
Category : Computers
Languages : en
Pages : 179

View

Book Description
An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

Author: Elaine De Beauport
Publisher: Quest Books
ISBN:
Category : Body, Mind & Spirit
Languages : en
Pages : 424

View

Book Description
This study shows that the brain has at least ten intelligences, some emotional, and some behavioural. Using stories and simple exercises, it teaches how to access and orchestrate all ten intelligences, discovering new skills in the process.

Author: David Willer
Publisher: Stanford University Press
ISBN: 9780804752466
Category : Social Science
Languages : en
Pages : 184

View

Book Description
Ranging from abstract theory to practical design solutions, this book provides the reader with the understandings needed to design and run cutting edge experiments.

Author: Marion Blute
Publisher: Cambridge University Press
ISBN: 1139485113
Category : Science
Languages : en
Pages : 251

View

Book Description
Social scientists can learn a lot from evolutionary biology - from systematics and principles of evolutionary ecology to theories of social interaction including competition, conflict and cooperation, as well as niche construction, complexity, eco-evo-devo, and the role of the individual in evolutionary processes. Darwinian sociocultural evolutionary theory applies the logic of Darwinism to social-learning based cultural and social change. With a multidisciplinary approach for graduate biologists, philosophers, sociologists, anthropologists, social psychologists, archaeologists, linguists, economists, political scientists and science and technology specialists, the author presents this model of evolution drawing on a number of sophisticated aspects of biological evolutionary theory. The approach brings together a broad and inclusive theoretical framework for understanding the social sciences which addresses many of the dilemmas at their forefront - the relationship between history and necessity, conflict and cooperation, the ideal and the material and the problems of agency, subjectivity and the nature of social structure.