Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Erandi Lakshika"'
Autor:
Shuo Yang, Dilini Samarasinghe, Anupama Arukgoda, Shadi Abpeikar, Erandi Lakshika, Michael Barlow
Publikováno v:
IEEE Access, Vol 11, Pp 89077-89092 (2023)
Collective emergent behaviours are commonly seen in nature such as in flocks of birds and schools of fish. These behaviours are the results of years of evolution and have been studied in artificial agent systems in a wide range of application areas s
Externí odkaz:
https://doaj.org/article/59bc81b041084e86bada88c25fce9221
Autor:
Shuo Yang, Michael Barlow, Thomas Townsend, Xuejie Liu, Dilini Samarasinghe, Erandi Lakshika, Glennn Moy, Timothy Lynar, Benjamin Turnbull
Publikováno v:
IEEE Access, Vol 11, Pp 60737-60757 (2023)
Board games are extensively studied in the AI community because of their ability to reflect/represent real-world problems with a high-level of abstraction, and their irreplaceable role as testbeds of state-of-the-art AI algorithms. Modern board games
Externí odkaz:
https://doaj.org/article/1e3bf9b267ca45548ba722a2f549166c
Publikováno v:
IEEE Access, Vol 10, Pp 102247-102265 (2022)
This paper presents a novel Flow-based reinforcement learning strategy to model agent systems that can adapt to complex and dynamic problem environments by incrementally mastering their skills. It is inspired by the psychological notion of Flow that
Externí odkaz:
https://doaj.org/article/fead2504125744e09cdc73ec6f2d9352
Autor:
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Timothy Lynar, Nour Moustafa, Thomas Townsend, Benjamin Turnbull
Publikováno v:
IEEE Access, Vol 9, Pp 114051-114069 (2021)
Board games have often been recognised as a tool to model complex concepts in abstract environments for entertainment, education, and research in fields such as military and artificial intelligence. With more board games being designed and published,
Externí odkaz:
https://doaj.org/article/8cf08e8b05b34e38a0a0de98d34301d2
Autor:
Chamila Wijayarathna, Erandi Lakshika
Publikováno v:
IEEE Transactions on Games. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::761a217ba1eff2e77ef6a8f58400e747
https://doi.org/10.1109/tg.2022.3216404
https://doi.org/10.1109/tg.2022.3216404
Publikováno v:
International Journal of Intelligent Systems. 36:6273-6311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f65792a35cdd172647cfb707dd85a8
https://doi.org/10.1002/int.22550
https://doi.org/10.1002/int.22550
Publikováno v:
IEEE Transactions on Games. 12:406-415
Active video games have proven to be an effective means of coupling gaming and exercise, while also providing a more enjoyable experience. In this article, we investigate two elliptical walker-based exertion systems for active video game locomotion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10845e614586ea67d7b7aab8688a11a4
https://doi.org/10.1109/tg.2020.3040357
https://doi.org/10.1109/tg.2020.3040357
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::271ed973ffb68d019c14cb557ae24d2b
https://doi.org/10.1109/ssci50451.2021.9660017
https://doi.org/10.1109/ssci50451.2021.9660017
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59c9429695aecfa9f215df321e88cf60
https://doi.org/10.1109/ssci50451.2021.9659848
https://doi.org/10.1109/ssci50451.2021.9659848
Publikováno v:
IVA
This paper presents a grammar-based evolutionary model to facilitate autonomous emergence of task allocation for intelligent multi-agent systems. The approach adopts a context-free grammar to determine the behaviour rule syntax. This allows for flexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd5666d2de3cade956adab0497692623
https://doi.org/10.1145/3472306.3478337
https://doi.org/10.1145/3472306.3478337