Sökning: onr:"swepub:oai:DiVA.org:umu-188198" >
JaCaMo Builders :
JaCaMo Builders : Team Description for the Multi-agent Programming Contest 2020/21
-
- Amaral, Cleber Jorge (författare)
- Federal Institute of Santa Catarina
-
- Babireski Furio, Vitor Luis (författare)
- Federal University of Santa Catarina
-
- Zagre Junior, Robson (författare)
- Federal University of Santa Catarina
-
visa fler...
-
- Kampik, Timotheus, 1989- (författare)
- Umeå universitet,Institutionen för datavetenskap,Interactive and Intelligent Systems Group
-
- de Brito, Maiquel (författare)
- Federal University of Santa Catarina
-
- Zatelli, Maicon R. (författare)
- Federal University of Santa Catarina
-
- Schmitz, Tiago L. (författare)
- Santa Catarina State University
-
- Hübner, Jomi F. (författare)
- Federal University of Santa Catarina
-
- Ferrandin, Mauri (författare)
- Federal University of Santa Catarina
-
visa färre...
-
(creator_code:org_t)
- 2021-10-01
- 2021
- Engelska.
-
Ingår i: The Multi-Agent Programming Contest 2021. - Cham : Springer Nature. - 9783030885496 - 9783030885489 ; , s. 134-157
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- This paper describes the JaCaMo Builders team and its participation in the Multi-Agent Programming Contest 2020/21 based on the Agents Assemble II scenario. The paper presents the analysis of the scenario and design of the solution; the software architecture, including the tools used during the development of the team; the main strategies; and the results achieved by the team, with challenges and directions for future editions of the contest.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Engineering Multi-agent Systems
- Agent-oriented Programming
- Computer Science
- datalogi
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas