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Philosophy and Theory of Artificial Intelligence 2017

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Philosophy and Theory of Artificial Intelligence 2017/ edited by Vincent C. Müller.
其他作者:	Müller, Vincent C.
面頁冊數:	IX, 316 p. 30 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-96448-5
ISBN:	9783319964485

Philosophy and Theory of Artificial Intelligence 2017
Philosophy and Theory of Artificial Intelligence 2017[electronic resource] /edited by Vincent C. Müller. - 1st ed. 2018. - IX, 316 p. 30 illus.online resource. - Studies in Applied Philosophy, Epistemology and Rational Ethics,442192-6255 ;. - Studies in Applied Philosophy, Epistemology and Rational Ethics,16.

Dynamic Concept Spaces in Computational Creativity for Music -- Friendly Superintelligent AI: All You Need is Love -- Creative AI: Music Composition Programs as an Extension of the Composer’s Mind -- Social Cognition and Artificial Agents -- A Framework For Exploring Artificial Personhood -- Artificial Brains and Hybrid Minds -- In Critique of RoboLaw: the Model of SmartLaw -- Modelling Machine Learning Models -- An Alleged Responsibility Gap -- Externalist and Sociolinguistic Perspectives on the Turing Test -- Do Machine-Learning Machines Learn? -- From Impossibility to Multiplicity.

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing.

ISBN: 9783319964485

Standard No.: 10.1007/978-3-319-96448-5doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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