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pro vyhledávání: '"Belief base"'
Akademický článek
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Akademický článek
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Autor:
Cristhian A. D. Deagustini, Guillermo Ricardo Simari, Marcelo Alejandro Falappa, M. Vanina Martinez
Publikováno v:
Artificial Intelligence. 275:78-103
The problem of knowledge evolution has received considerable attention over the years. Mainly, the study of the dynamics of knowledge has been addressed in the area of Belief Revision, a field emerging as the convergence of the efforts in Philosophy,
Publikováno v:
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021)
Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), International Joint Conferences on Artificial Intelligence Organization, Aug 2021, Montreal, Canada. pp.1959-1965, ⟨10.24963/ijcai.2021/270⟩
Thirtieth International Joint Conference on Artificial Intelligence {IJCAI 2021}
Thirtieth International Joint Conference on Artificial Intelligence, Aug 2021, Montreal, Canada. pp.1959-1965, ⟨10.24963/ijcai.2021/270⟩
IJCAI
Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021)
Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), International Joint Conferences on Artificial Intelligence Organization, Aug 2021, Montreal, Canada. pp.1959-1965, ⟨10.24963/ijcai.2021/270⟩
Thirtieth International Joint Conference on Artificial Intelligence {IJCAI 2021}
Thirtieth International Joint Conference on Artificial Intelligence, Aug 2021, Montreal, Canada. pp.1959-1965, ⟨10.24963/ijcai.2021/270⟩
IJCAI
We present a generalization of belief base revision to the multi-agent case. In our approach agents have belief bases containing both propositional beliefs and higher-order beliefs about their own beliefs and other agents’ beliefs. Moreover, their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c969315d445cc2e0b5868f7e82e84a0c
https://hal.science/hal-03453911/file/MASBelRevision.pdf
https://hal.science/hal-03453911/file/MASBelRevision.pdf
Publikováno v:
IEEE Latin America Transactions. 17:1039-1046
This paper presents a model of dialogue to support the common-knowledge formation in a group of agents which is based on the exchange of arguments supporting or rejecting an issue under discussion and other arguments during the dialogue. In the model
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 86:231-255
Contemporary systems situated in real-world open environments frequently have to cope with incomplete and inconsistent information that typically increases complexity of reasoning and decision processes. Realistic modeling of such informationally com
Publikováno v:
Logics in Artificial Intelligence
Logics in Artificial Intelligence: 17th European Conference, JELIA 2021, Virtual Event, May 17–20, 2021, Proceedings
17th European Conference on Logics in Artificial Intelligence (JELIA 2021)
17th European Conference on Logics in Artificial Intelligence (JELIA 2021), May 2021, virtual event, France. pp.245-261, ⟨10.1007/978-3-030-75775-5_17⟩
Logics in Artificial Intelligence ISBN: 9783030757748
JELIA
Logics in Artificial Intelligence: 17th European Conference, JELIA 2021, Virtual Event, May 17–20, 2021, Proceedings
17th European Conference on Logics in Artificial Intelligence (JELIA 2021)
17th European Conference on Logics in Artificial Intelligence (JELIA 2021), May 2021, virtual event, France. pp.245-261, ⟨10.1007/978-3-030-75775-5_17⟩
Logics in Artificial Intelligence ISBN: 9783030757748
JELIA
International audience; We present a logic of graded beliefs with a formal semantics grounded on the notion of belief base. It has modal operators which represent what an agent would believe if she removed k pieces of information from her belief base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042bb1f6fec9dd6dbe20cae6a7a5183a
https://hal.science/hal-03453909/document
https://hal.science/hal-03453909/document
Publikováno v:
Software Engineering and Formal Methods. SEFM 2020 Collocated Workshops ISBN: 9783030672195
SEFM
SEFM
When building artificial agents that have to make decisions, understanding what follows from what they know or believe is mandatory, but it is also important to understand what happens when those agents ignore some facts, where ignoring a fact is int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0b9248d5b4c621be52d286fb51f26d8
https://doi.org/10.1007/978-3-030-67220-1_17
https://doi.org/10.1007/978-3-030-67220-1_17
Autor:
Célia da Costa Pereira, Dima El Zein
Publikováno v:
The 23rd International Conference on Principles and Practice of Multi-Agent Systems
The 23rd International Conference on Principles and Practice of Multi-Agent Systems, Nov 2020, Nagoya, Japan. ⟨10.1007/978-3-030-69322-0_21⟩
PRIMA 2020: Principles and Practice of Multi-Agent Systems ISBN: 9783030693213
PRIMA
The 23rd International Conference on Principles and Practice of Multi-Agent Systems, Nov 2020, Nagoya, Japan. ⟨10.1007/978-3-030-69322-0_21⟩
PRIMA 2020: Principles and Practice of Multi-Agent Systems ISBN: 9783030693213
PRIMA
International audience; This paper presents a framework for a cognitive agent in information retrieval that customizes the list of returned documents based on what the agent believes about the user knowledge. Throughout the interactions between the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fafb5ce576dfe2035a8a86c435da91e9
https://hal.archives-ouvertes.fr/hal-03029127
https://hal.archives-ouvertes.fr/hal-03029127
Autor:
Nicolas Schwind, Sébastien Konieczny
Publikováno v:
KR
17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}
17th International Conference on Principles of Knowledge Representation and Reasoning, Sep 2020, Rhodes, Greece. pp.738-747, ⟨10.24963/kr.2020/76⟩
17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}
17th International Conference on Principles of Knowledge Representation and Reasoning, Sep 2020, Rhodes, Greece. pp.738-747, ⟨10.24963/kr.2020/76⟩
International audience; In this work we define iterated change operators that do not obey the primacy of update principle. This kind of change is required in applications when the recency of the input formulae is not linked with their reliability/pri