Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tanja Bock"'
Publikováno v:
KI - Künstliche Intelligenz. 33:57-68
While humans have developed extremely effective ways of forgetting outdated or currently irrelevant information, freeing them to process ever-increasing amounts of information, there seems to be a gap between the technically defined notions of forget
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c85e5cae9ac586a9cdbaba0b20f648
https://doi.org/10.1007/s13218-018-0567-3
https://doi.org/10.1007/s13218-018-0567-3
Publikováno v:
Minds and Machines. 27:79-117
The knowledge representation and reasoning of both humans and artificial systems often involves conditionals. A conditional connects a consequence which holds given a precondition. It can be easily recognized in natural languages with certain key wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd565f0e9128e5c8071fe19b2e400cc9
https://doi.org/10.1007/s11023-016-9414-1
https://doi.org/10.1007/s11023-016-9414-1
Publikováno v:
PRICAI 2019: Trends in Artificial Intelligence ISBN: 9783030299071
PRICAI (1)
PRICAI (1)
Intentional forgetting means to deliberately give up information and is a crucial part of change or consolidation processes, or to make knowledge more compact. Two well-known forgetting operations are contraction in the AGM theory of belief change, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d84c69498ac7da7cb0cfc88cd84dbc5
https://doi.org/10.1007/978-3-030-29908-8_37
https://doi.org/10.1007/978-3-030-29908-8_37
Publikováno v:
GCAI
Research on iterated belief change has focussed mostly on belief revision, only few papers have addressed iterated belief contraction. Most prominently, Darwiche and Pearl published seminal work on iterated belief revision the leading paradigm of whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4173374bc63da4666e2163d857420802
https://doi.org/10.29007/3q8l
https://doi.org/10.29007/3q8l
Autor:
Paulina Friemann, Kai Sauerwald, Hannah Dames, Jan Ole Berndt, Heiko Maus, Lukas Reuter, Ingo J. Timm, Claudia Niederée, Tanja Bock, Claudia Schon, Thomas Eiter, Andreas Dengel, Christian Jilek, Marco Ragni, Steffen Staab, Gabriele Kern-Isberner, Ute Schmid, Christoph Beierle, Michael Siebers
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030001100
KI
Otto-Friedrich-Universität Bamberg
KI
Otto-Friedrich-Universität Bamberg
Current trends, like digital transformation and ubiquitous computing, yield in massive increase in available data and information. In artificial intelligence (AI) systems, capacity of knowledge bases is limited due to computational complexity of many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baaac4827dad3477628dadb43c3094b0
https://doi.org/10.1007/978-3-030-00111-7_30
https://doi.org/10.1007/978-3-030-00111-7_30
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030001100
KI
KI
Knowledge representation and reasoning have a long tradition in the field of artificial intelligence. More recently, the aspect of forgetting, too, has gained increasing attention. Humans have developed extremely effective ways of forgetting e.g. out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4e913de331601e81e920d641c712c5f
https://doi.org/10.1007/978-3-030-00111-7_31
https://doi.org/10.1007/978-3-030-00111-7_31