Introduction to Artificial Intelligence

Please use this identifier to cite or link to this item: 192.168.6.56/handle/123456789/88571

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Samson Abramsky, Karin Breitman, Chris Hankin, Dexter Kozen, Andrew Pitts, Hanne Riis Nielson, Steven Skiena and Iain Stewart	-
dc.contributor.author	Wolfgang Ertel	-
dc.contributor.editor	Ian Mackie	-
dc.date.accessioned	2020-05-25T10:59:56Z	-
dc.date.available	2020-05-25T10:59:56Z	-
dc.date.issued	2017	-
dc.identifier.isbn	978-3-319-58487-4	-
dc.identifier.uri	http://196.189.45.87:8080/handle/123456789/88571	-
dc.description	In the space of 300 pages, a ﬁ eld as extensive as AI cannot be fully covered. To avoid turning the book into a table of contents, I have attempted to go into some depth and to introduce concrete algorithms and applications in each of the following branches: agents, logic, search, reasoning with uncertainty, machine learning, and neural networks.	en_US
dc.language	en	-
dc.publisher	Springer	en_US
dc.title	Introduction to Artificial Intelligence	en_US
dc.type	Book	-
Appears in Collections:	Computer Science

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2017_Book_IntroductionToArtificialIntell.pdf		7.73 MB	Adobe PDF	View/Open