Mindware


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Mindware


Mindware

Author: Richard Nisbett

language: en

Publisher: Penguin UK

Release Date: 2015-08-18


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An enlightening and practical guide to the most powerful tools of reasoning ever developed, by one of the world's most renowned psychologists Many scientific and philosophical ideas are so powerful that they can be applied to our lives to help us think smarter and more effectively about our behaviour and the world around us. Surprisingly, many of these ideas remain unknown to most of us. Drawing on his own groundbreaking research, Richard Nisbett presents these ideas in clear and accessible detail to offer a tool kit for better thinking and wiser decisions. Mindware shows how to reframe common problems - whether professional, business, or personal - in such a way that these powerful scientific and statistical concepts can be applied to them. 'A devastating and persuasive refutation of all those who believe intellectual ability is fixed at birth. Few Americans have done as much to deepen our understanding of what it means to be human.' Malcolm Gladwell

Mindware


Mindware

Author: Andy Clark

language: en

Publisher: Oxford University Press, USA

Release Date: 2001-01


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Mindware is an introductory text with a difference. In eight short chapters it tells a story and invites the reader to join in some up-to-the-minute conceptual discussion of the key issues, problems, and opportunities in cognitive science. The story is about the search for a cognitive scientific understanding of mind. It is presented as a no-holds-barred journey from early work in Artificial Intelligence, through connectionist (artificial neural network) counter-visions, and onto neuroscience artificial life, dynamics and robotics. The journey ends with some wide-ranging and provacative speculation about the role of technology and the changing nature of the human mind itself. Each chapter is organized as an initial sketch of a research program or theme, followed by a substantial discussion section in which specific problems and issues (both familiear and cutting-edge) are raised and pursued. Discussion topics include mental causation, the hardware/software distinction, the relations between life and mind, the nature of perception, cognition and action, and the continuity (or otherwise) of high-level human intelligence with other forms of adaptive response. Classic topics are treated alongside the newer ones in an integrated treatment of the various discussions. The sketches and discussions are accompanied by numerous figures and boxed sections, and followed by suggestions for futher reading.

The Rationality Quotient


The Rationality Quotient

Author: Keith E. Stanovich

language: en

Publisher: MIT Press

Release Date: 2018-02-09


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How to assess critical aspects of cognitive functioning that are not measured by IQ tests: rational thinking skills. Why are we surprised when smart people act foolishly? Smart people do foolish things all the time. Misjudgments and bad decisions by highly educated bankers and money managers, for example, brought us the financial crisis of 2008. Smart people do foolish things because intelligence is not the same as the capacity for rational thinking. The Rationality Quotient explains that these two traits, often (and incorrectly) thought of as one, refer to different cognitive functions. The standard IQ test, the authors argue, doesn't measure any of the broad components of rationality—adaptive responding, good judgment, and good decision making. The authors show that rational thinking, like intelligence, is a measurable cognitive competence. Drawing on theoretical work and empirical research from the last two decades, they present the first prototype for an assessment of rational thinking analogous to the IQ test: the CART (Comprehensive Assessment of Rational Thinking). The authors describe the theoretical underpinnings of the CART, distinguishing the algorithmic mind from the reflective mind. They discuss the logic of the tasks used to measure cognitive biases, and they develop a unique typology of thinking errors. The Rationality Quotient explains the components of rational thought assessed by the CART, including probabilistic and scientific reasoning; the avoidance of “miserly” information processing; and the knowledge structures needed for rational thinking. Finally, the authors discuss studies of the CART and the social and practical implications of such a test. An appendix offers sample items from the test.