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pro vyhledávání: '"Souza, Marlo"'
AGM's belief revision is one of the main paradigms in the study of belief change operations. Recently, several logics for belief and information change have been proposed in the literature and used to encode belief change operations in rich and expre
Externí odkaz:
http://arxiv.org/abs/2101.01676
Autor:
Souza, Marlo, Moreira, Álvaro
AGM's belief revision is one of the main paradigms in the study of belief change operations. In this context, belief bases (prioritised bases) have been primarily used to specify the agent's belief state. While the connection of iterated AGM-like ope
Externí odkaz:
http://arxiv.org/abs/1912.10515
While several BDI logics have been proposed in the area of Agent Programming, it is not clear how these logics are connected to the agent programs they are supposed to specify. More yet, the reasoning problems in these logics, being based on modal lo
Externí odkaz:
http://arxiv.org/abs/1911.05908
In this work, we investigate the use of Dynamic Preference Logic to encode BDI mental attitudes. Further, exploring this codification and the representation of preferences over possible worlds by preferences over propositional formulas, here called p
Externí odkaz:
http://arxiv.org/abs/1911.05907
AGM's belief revision is one of the main paradigms in the study of belief change operations. In this context, belief bases (prioritised bases) have been largely used to specify the agent's belief state - whether representing the agent's `explicit bel
Externí odkaz:
http://arxiv.org/abs/1902.06178
Autor:
Souza, Marlo, Moreira, Álvaro
Publikováno v:
In Journal of Logical and Algebraic Methods in Programming August 2021 122
Autor:
Costa, Laecio Araujo, Pereira Sanches, Leandro Manuel, Rocha Amorim, Ricardo José, Nascimento Salvador, Laís do, Santos Souza, Marlo Vieira dos
Publikováno v:
Informatics in Education - An International Journal. 19(3):361-397
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=896112
Publikováno v:
International Journal of Higher Education / Revista Internacional de Educação Superior; 2023, Vol. 9, p1-29, 29p
Autor:
Simões de Morais, Pauleany1 pauleany.morais@ifrn.br, Souza, Marlo2 msouza1@ufba.br
Publikováno v:
Revista Brasileira de Informática na Educação. 2021, Vol. 29, p117-132. 16p.
The current state-of-the-art methods for Open Information Extraction are largely based on supervised learning and sequence labeling. Recently, a new branch of deep learning research has shown promising results in addressing several issues of sequence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23c2c2ff4b4c18151d2627f7c83af887