Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Giovani Parente Farias"'
Autor:
Giovani Parente FARIAS, Ramon Fraga PEREIRA, Lucas HILGERT, Felipe MENEGUZZI, Renata VIEIRA, Rafael Heitor BORDINI
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 4, Pp 55-69 (2018)
Anticipating failures in agent plan execution is important to enable an agent to develop strategies to avoid or circumvent such failures, allowing the agent to achieve its goal. Plan recognition can be used to infer which plans are being executed fro
Externí odkaz:
https://doaj.org/article/075bc25a104d448090e113fb38f75e6f
Autor:
Giovani Parente FARIAS, Ramon Fraga PEREIRA, Lucas W. HILGERT, Felipe MENEGUZZI, Renata VIEIRA, Rafael H. BORDINI
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 2, Pp 71-84 (2017)
An agent can attempt to achieve multiple goals and each goal can be achieved by applying various different plans. Anticipating failures in agent plan execution is important to enable an agent to develop strategies to avoid or circumvent such failures
Externí odkaz:
https://doaj.org/article/ac0a36f405c04ddd8a1bffac1265360a
Autor:
Diana Francisca Adamatti, Marilton Sanchotene de Aguiar, Giovani Parente Farias, Míriam Blank Born, Bruna Leitzke
Publikováno v:
Revista de Informática Teórica e Aplicada; v. 27, n. 2 (2020); 81-95
The paper aims to present a river basin modeling using GAMA platform for water resources analysis. Currently, several models based on multi-agent systems are used for natural resources management and they present satisfactory results for this type of
Autor:
Diana Francisca Adamatti, Giovani Parente Farias, Marilton Sanchotene de Aguiar, Bruna Leitzke, Míriam Blank Born
Publikováno v:
Research in Computing Science. 148:91-102
Autor:
Felipe Meneguzzi, Rafael H. Bordini, Lucas Hilgert, Ramon Fraga Pereira, Renata Vieira, Giovani Parente Farias
Publikováno v:
GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 4, Pp 55-69 (2018)
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 2, Pp 71-84 (2017)
instname
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 4, Pp 55-69 (2018)
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 2, Pp 71-84 (2017)
An agent can attempt to achieve multiple goals and each goal can be achieved by applying various different plans. Anticipating failures in agent plan execution is important to enable an agent to develop strategies to avoid or circumvent such failures
Autor:
Vinicius Martins, Marilton Sanchotene de Aguiar, Míriam Blank Born, Bruna Leitzke, Raquel de Miranda Barbosa, Marla Rosana Pereira Melo, Matheus Gonçalves, Giovani Parente Farias, Diana Francisca Adamatti, Paulo Rodrigues
Publikováno v:
Anais do Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA).
O presente artigo tem como objetivo apresentar o estudo das áreas de gerenciamento de recursos hı́dricos, sistemas multiagente (SMA) e jogos de papéis, bem como a integração destas à modelagem inicial de gestão participativa dos atores (agent
Autor:
Rafael H. Bordini, Débora C. Engelmann, Giovani Parente Farias, Vitor Peres, Rafael C. Cardoso, Tabajara Krausburg, Juliana Damasio, Jomi Fred Hübner
Publikováno v:
The Multi-Agent Programming Contest 2018 ISBN: 9783030379582
The Multi-Agent Programming Contest
The Multi-Agent Programming Contest
The Multi-Agent Programming Contest in 2018 expanded upon the Agents in the City scenario used in the 2016 and 2017 editions of the contest. In this scenario two teams compete to score points by building and attacking wells using realistic city maps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8ad74762c4f326c80c706f5fbd5a57d
https://doi.org/10.1007/978-3-030-37959-9_4
https://doi.org/10.1007/978-3-030-37959-9_4
Publikováno v:
BRACIS
Most approaches to plan recognition are based on manually constructed rules, where the knowledge base is represented as a plan library for recognising plans. For non-trivial domains, such plan libraries have complex structures representing possible a
Publikováno v:
WI-IAT (2)
Some plan recognition approaches represent knowledge about the agents under observation in the form of a plan library. Although such approaches use conceptually similar plan library representations, they seldom, if ever, use the exact same domain in
Autor:
Glenda Dimuro Peter, Graçaliz Pereira Dimuro, Esteban de Manuel Jerez, Giovani Parente Farias
Publikováno v:
BRACIS
Piaget's theory of social exchanges has been used as the basis for the analysis of interactions in Multiagent Systems, allowing the modeling of interactions as services exchange processes between pairs of agents, followed by the evaluation of those s