Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ryota Katayanagi"'
Publikováno v:
APNOMS
With the popularization of B2B2X (Business to Business to X, where “X” represents any end user) business, the software for supporting both deployment and maintenance of collaborative services, which combine multiple services, is required. We prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36c68a4030082b4bcaacd758a8d5dc29
https://doi.org/10.23919/apnoms52696.2021.9562619
https://doi.org/10.23919/apnoms52696.2021.9562619
Publikováno v:
CNSM
In this paper, a workflow-less system architecture adopting Choreography architecture is proposed that can flexibly and quickly respond to changes in demand on a system. This approach makes each maintenance function into a microservice and enables ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42753e4041262afba746627b0da16f95
https://doi.org/10.23919/cnsm50824.2020.9269058
https://doi.org/10.23919/cnsm50824.2020.9269058
Publikováno v:
APNOMS
We proposed an orchestrator in which service providers construct multiple services by cooperating with each other at one stop without being conscious of individual services in order to respond to the B2B2X (Business to Business to X) business model w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8587ad8764a0e598554deb14a0e76265
https://doi.org/10.23919/apnoms.2019.8892886
https://doi.org/10.23919/apnoms.2019.8892886
Autor:
Toshiharu Sugawara, Ryota Katayanagi
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 26:76-85
We propose an effective method of dynamic reorganization using reinforcement learning for the team formation in multi-agent systems (MAS). A task in MAS usually consists of a number of subtasks that require their own resources, and it has to be proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ec234d6f5e4389eab1dbf663ed25f17
https://doi.org/10.1527/tjsai.26.76
https://doi.org/10.1527/tjsai.26.76
Autor:
Toshiharu Sugawara, Ryota Katayanagi
Publikováno v:
CIT
We propose a method of distributed team formation that uses reinforcement learning and dynamic reorganization by taking into account communication delay in multi-agent systems (MAS). A task in a distributed environment is usually achieved by doing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cf0b71218c085678d14980c5ae5afe7
https://doi.org/10.1109/cit.2011.18
https://doi.org/10.1109/cit.2011.18