Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kai Sauerwald"'
Autor:
Kai Sauerwald
Publikováno v:
Dissertations in Artificial Intelligence ISBN: 9781643683249
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3b4d3329059e0a53d6cfab5328dbc6b
https://doi.org/10.3233/dai352
https://doi.org/10.3233/dai352
Publikováno v:
The International FLAIRS Conference Proceedings. 35
Many modern artificial intelligence (AI) systems like human-interacting smart devices or expert systems adapt to specific users' information processes but the underlying AI methods commonly lack a theory of mind. Thus, there is a need to better under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f588f12220dc8d11b3cf299ef5e52b5d
https://doi.org/10.32473/flairs.v35i.130674
https://doi.org/10.32473/flairs.v35i.130674
Autor:
Kai Sauerwald, Christoph Beierle
Iterated Belief Change is the research area that investigates principles for the dynamics of beliefs over (possibly unlimited) many subsequent belief changes. In this paper, we demonstrate how iterated belief change is connected to computation. In pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f060e14da9eb04f36f92d27cc28d9564
http://arxiv.org/abs/2202.08856
http://arxiv.org/abs/2202.08856
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031188428
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76873dc9ccac77231f4fa1bad7eff154
https://doi.org/10.1007/978-3-031-18843-5_7
https://doi.org/10.1007/978-3-031-18843-5_7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031157905
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d513d95bb0b11d02d4f24e6403dc4a0
https://doi.org/10.1007/978-3-031-15791-2_1
https://doi.org/10.1007/978-3-031-15791-2_1
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 87:5-41
Several different semantics have been proposed for conditional knowledge bases $\mathcal {R}$ containing qualitative conditionals of the form “If A, then usually B”, leading to different nonmonotonic inference relations induced by $\mathcal {R}$
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9eeb97f961978c57f5daf545588746
https://doi.org/10.1007/s10472-019-09653-7
https://doi.org/10.1007/s10472-019-09653-7
Publikováno v:
SAC
In descriptor revision as introduced by Hansson, it is possible to express different kinds of belief change operations like revision or contraction in a structured and combined way. In this paper, the descriptor framework is instantiated over a logic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beac5e229ffd2ec2a93fa74f51d85de0
https://doi.org/10.1145/3412841.3442101
https://doi.org/10.1145/3412841.3442101
Publikováno v:
Logics in Artificial Intelligence ISBN: 9783030757748
JELIA
JELIA
Descriptor revision is a belief change framework that was introduced by Hansson as an alternative to the currently prevailing AGM paradigm. One central idea of descriptor revision is to describe the desired outcome of a belief change. Thus, descripto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32c4da5e5541a7855ca678be281579b6
https://doi.org/10.1007/978-3-030-75775-5_4
https://doi.org/10.1007/978-3-030-75775-5_4
This book constitutes the refereed deadline proceedings of the 28th International Conference on Graph-Based Representation and Reasoning, ICCS 2023, held in Berlin, Germany, during September 11–13, 2023.The 9 full papers, 5 short papers and 4 P
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030582845
KI
KI
Descriptor revision by Hansson is a framework for addressing the problem of belief change. In descriptor revision, different kinds of change processes are dealt with in a joint framework. Individual change requirements are qualified by specific succe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38f111971cdfa2aed93416eefc6ae018
https://doi.org/10.1007/978-3-030-58285-2_15
https://doi.org/10.1007/978-3-030-58285-2_15