Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Munehiro Fukuda"'
Publikováno v:
Informatics, Vol 5, Iss 2, p 18 (2018)
Agent-Based Models (ABMs) assist with studying emergent collective behavior of individual entities in social, biological, economic, network, and physical systems. Data provenance can support ABM by explaining individual agent behavior. However, there
Externí odkaz:
https://doaj.org/article/4589bbdce470439a919d91bfe719d655
Publikováno v:
Proceedings of the 15th International Conference on Agents and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4beafeeaa2d587147b4d063ebfaab91
https://doi.org/10.5220/0011784500003393
https://doi.org/10.5220/0011784500003393
Autor:
Yan Hong, Munehiro Fukuda
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb193ebbebb2d087415999fd8048262f
https://doi.org/10.1109/bigdata55660.2022.10020903
https://doi.org/10.1109/bigdata55660.2022.10020903
Publikováno v:
Computer. 53:16-25
Major software tools for distributed-data analysis, such as MapReduce and Spark, examine data items on separate disks by streaming them into memory. We contrast data streaming against an agent-based approach that moves analyzing units through distrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c743391379d15ba77fa8954ad0f0a50c
https://doi.org/10.1109/mc.2019.2932964
https://doi.org/10.1109/mc.2019.2932964
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030857387
PAAMS
PAAMS
Many scientific datasets are generated in a given data structure (e.g., a graph) and are reused for various analyses. From this viewpoint, instead of streaming these datasets into conventional big-data tools such as MapReduce or Spark, we should main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91776c98a5ff5dd48b355a67acb93843
https://doi.org/10.1007/978-3-030-85739-4_27
https://doi.org/10.1007/978-3-030-85739-4_27
Publikováno v:
IEEE BigData
Some graph analyses, such as social network and biological network, need large-scale graph construction and maintenance over distributed memory space. Distributed data-streaming tools, including MapReduce and Spark, restrict some computational freedo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f56efd3568e797bbbfc4c90d07810e
https://doi.org/10.1109/bigdata50022.2020.9378298
https://doi.org/10.1109/bigdata50022.2020.9378298
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030242985
PAAMS (Workshops)
PAAMS (Workshops)
The current trend for parallelizing scalable graph analysis is to use major big-data tools such as MapReduce, Spark/GraphX, and Storm. Each programming framework uses graph analysis strategies based on either (1) message passing among graph vertices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c91f9165e94c13972c7edb9f168321
https://doi.org/10.1007/978-3-030-24299-2_1
https://doi.org/10.1007/978-3-030-24299-2_1
Publikováno v:
Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection ISBN: 9783030242084
PAAMS
PAAMS
GPU-based parallelization of agent-based modeling (ABM) has been highlighted for the last decade to address its computational needs for scalable and long-run simulations in practical use. From the software productivity viewpoint, model designers woul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59f5c392aeded68bfda53383bb90c550
https://doi.org/10.1007/978-3-030-24209-1_12
https://doi.org/10.1007/978-3-030-24209-1_12
Publikováno v:
2018 Winter Simulation Conference (WSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfda3c53d1531c28d5562eb372743388
https://doi.org/10.1109/wsc.2018.8632365
https://doi.org/10.1109/wsc.2018.8632365
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319963846
Spatial Cognition
Spatial Cognition
Natural cognitive agents such as humans and animals may frequently solve spatial problems in their environment by manipulating their environment instead of doing all the computation in their head (e.g., untangling a power cable by inspection and dire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d8c80be900e838ef75a183dfb96e3a
https://doi.org/10.1007/978-3-319-96385-3_14
https://doi.org/10.1007/978-3-319-96385-3_14