MARC状态：审校 文献类型：西文图书 浏览次数：34
- 题名/责任者:
- The measure of all minds : evaluating natural and artificial intelligence / Jos.
- 出版发行项:
- Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2017.
- ISBN:
- 9781107153011
- 载体形态项:
- xvi, 553 pages : illustrations ; 24 cm
- 个人责任者:
- Hern.
- 论题主题:
- Artificial intelligence.
- 论题主题:
- Medical technology.
- 论题主题:
- Mental Processes-physiology.
- 中图法分类号:
- TP18
- 书目附注:
- Includes bibliographical references and index.
- 内容附注:
- Extended nature -- Mind the step : scala universalis -- The evaluation of human behaviour -- The evaluation of non-human natural behaviour -- The evaluation of artificial intelligence -- The boundaries against a unified evaluation -- Intelligence and algorithmic information theory -- Cognitive tasks and difficulty -- From tasks to tests -- The arrangement of abilities -- General intelligence -- Cognitive development and potential -- Identifying social skills -- Communication abilities -- Evaluating collective and hybrid systems -- Universal tests -- Rooting for ratiocentrism -- Exploitation and exploration.
- 摘要附注:
- Are psychometric tests valid for a new reality of artificial intelligence systems, technology-enhanced humans, and hybrids yet to come? Are the Turing Test, the ubiquitous CAPTCHAs, and the various animal cognition tests the best alternatives? In this fascinating and provocative book, Jos#65533; Hern#65533;ndez-Orallo formulates major scientific questions, integrates the most significant research developments, and offers a vision of the universal evaluation of cognition. By replacing the dominant anthropocentric stance with a universal perspective where living organisms are considered as a special case, long-standing questions in the evaluation of behavior can be addressed in a wider landscape. Can we derive task difficulty intrinsically? Is a universal g factor - a common general component for all abilities - theoretically possible? Using algorithmic information theory as a foundation, the book elaborates on the evaluation of perceptual, developmental, social, verbal and collective features and critically analyzes what the future of intelligence might look like.
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