Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Pavlos Peppas"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:5809-5816
We present an approach to incorporating qualitative assertions of conditional irrelevance into belief revision, in order to address the limitations of existing work which considers only unconditional irrelevance. These assertions serve to enforce the
Autor:
Theofanis Aravanis, Pavlos Peppas
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 90:573-594
Publikováno v:
Journal of Logic and Computation. 30:1125-1142
Parikh’s relevance-sensitive axiom (P) for belief revision is open to two different interpretations, i.e. the weak and the strong version of (P), both of which are plausible depending on the context. Given that strong (P) has not received the atten
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 89:7-28
In this article, we provide the epistemic-entrenchment and partial-meet characterizations of a new, important class of concrete revision operators (all of which satisfy the AGM postulates for revision), called Parametrized Difference revision operato
© 2020 AI Access Foundation. The AGM paradigm for belief change, as originally introduced by Alchourron, Gardenfors and Makinson, lacks any guidelines for the process of iterated revision. One of the most inuential work addressing this problem is Da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce67ba11965b3dbe2e1d4f0ef1a54c89
https://hdl.handle.net/10453/146073
https://hdl.handle.net/10453/146073
In this article, the epistemic-entrenchment and partial-meet characterizations of Parikh's relevance-sensitive axiom for belief revision, known as axiom (P), are provided. In short, axiom (P) states that, if a belief set $K$ can be divided into two d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27feaff23d2b2b4c36d230e3515ef32c
https://hdl.handle.net/10453/140912
https://hdl.handle.net/10453/140912
Publikováno v:
IJCAI
Notwithstanding the extensive work on iterated belief revision, there is, still, no fully satisfactory solution within the classical AGM paradigm. The seminal work of Darwiche and Pearl (DP approach, for short) remains the most dominant, despite its
Publikováno v:
International E-Conference on Computer Science 2005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89939889cfdb8bed5de7134957dbc2eb
https://doi.org/10.1201/9780429076893-22
https://doi.org/10.1201/9780429076893-22
Autor:
Sammy Pfeiffer, Daniel Ebrahimian, Sarita Herse, Tran Nhut Le, Suwen Leong, Bethany Lu, Katie Powell, Syed Ali Raza, Tian Sang, Ishan Sawant, Meg Tonkin, Christine Vinaviles, The Duc Vu, Qijun Yang, Richard Billingsley, Jesse Clark, Benjamin Johnston, Srinivas Madhisetty, Neil McLaren, Pavlos Peppas, Jonathan Vitale, Mary-Anne Williams
Publikováno v:
RoboCup 2019: Robot World Cup XXIII ISBN: 9783030356989
RoboCup
RoboCup
This paper summarizes the approaches employed by Team UTS Unleashed! to take First Place in the 2019 RoboCup@Home Social Standard Platform League. First, our system architecture is introduced. Next, our approach to basic skills needed for a strong pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d2d6cd0d6f36b9afbc66c7a2e6cd51
https://doi.org/10.1007/978-3-030-35699-6_49
https://doi.org/10.1007/978-3-030-35699-6_49
Publikováno v:
Scopus-Elsevier
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. Notwithstanding the extensive work on iterated belief revision, there is, still, no fully satisfactory solution within the classical AGM paradigm. The seminal wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::053c755a1404dc9caf73b4d0ec2d3ce9
https://hdl.handle.net/10453/141461
https://hdl.handle.net/10453/141461