Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Cesar Augusto Tacla"'
Autor:
Helio Henrique Lopes Costa Monte Alto, Ayslan Trevizan Possebom, Miriam Mariela Mercedes Morveli Espinoza, Cesar Augusto Tacla
Publikováno v:
Dyna, Vol 88, Iss 217 (2021)
In this study, we tackled the problem of distributed reasoning in environments in which agents may have incomplete and inconsistent knowledge. Conflicts between agents are resolved through defeasible argumentation-based semantics with a preference fu
Externí odkaz:
https://doaj.org/article/651a0a40f06349399859f78e835ae783
Publikováno v:
Inteligencia Artificial, Vol 22, Iss 64 (2019)
By considering rational agents, we focus on the problem of selecting goals out of a set of incompatible ones. We consider three forms of incompatibility introduced by Castelfranchi and Paglieri, namely the terminal, the instrumental (or based on reso
Externí odkaz:
https://doaj.org/article/6e8ea4832b984d93a326863af306e994
Publikováno v:
Acta Scientiarum: Technology, Vol 41, Iss 1, Pp e37955-e37955 (2019)
In an argumentative dialogue, agents exchange arguments to approve or disapprove a decision alternative. The problem arises when a group of agents with incomplete information needs to reach consensus on the decision. This study proposes a framework f
Externí odkaz:
https://doaj.org/article/7ef7781f767c44d8a993864e5cfc8b7f
Autor:
Jeferson José Baqueta, Miriam Mariela Mercedes Morveli-Espinoza, Gustavo Alberto Giménez Lugo, Cesar Augusto Tacla
Publikováno v:
Revista de Informática Teórica e Aplicada; Vol. 29 No. 1 (2022); 54-67
Revista de Informática Teórica e Aplicada; v. 29 n. 1 (2022); 54-67
Revista de Informática Teórica e Aplicada; v. 29 n. 1 (2022); 54-67
In cooperative environments is common that agents delegate tasks to each other to achieve their goals since an agent may not have the capabilities or resources to achieve its objectives alone. However, to select good partners, the agent needs to deal
Publikováno v:
Journal of Logic and Computation.
Explainable Artificial Intelligence systems, including intelligent agents, are expected to explain their internal decisions, behaviors and reasoning that produce their choices to the humans (or to other systems) with which they interact. Given this c
Publikováno v:
Revista ComInG - Communications and Innovations Gazette. 5:52-63
This article presents the RoboFun project with its double goal: i) to allow students of the Computer Engineering PET group to carry out research, teaching, and extension activities under the umbrella of one project, and ii) as a mean to attract new s
Publikováno v:
Knowledge and Information Systems. 62:1511-1538
Threats are used in persuasive negotiation dialogues when a proponent agent tries to persuade an opponent of him to accept a proposal. Depending on the information the proponent has modeled about his opponent(s), he may generate more than one threat,
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
Human-aware Artificial Intelligent systems are goal directed autonomous systems that are capable of interacting, collaborating, and teaming with humans. Two relevant tasks of these systems are recognizing human's desires and intentions and providing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______264::9e9803148b26c77f405a4ed0cc00a93c
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-179757
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-179757
Publikováno v:
Intelligent Systems ISBN: 9783030917012
Argumentation-based persuasive negotiation is a form of negotiation dialogue in which agents, with different interests and goals, exchange proposals that are supported by rhetorical arguments such as threats, rewards, or appeals. Besides rhetorical a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d7d6157e749f3fcc6deeb4e08653a4c
https://doi.org/10.1007/978-3-030-91702-9_2
https://doi.org/10.1007/978-3-030-91702-9_2