2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT) 2018
DOI: 10.1109/distra.2018.8600925
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Data Assimilation Technique for Social Agent-Based Simulation by Using Reinforcement Learning

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Cited by 5 publications
(3 citation statements)
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“…Notably, [58] introduced a pioneering method for agent-based data assimilation by applying quantum mechanics field theory to reinterpret Equation (1) using annihilation and creation operators. The integration of reinforcement learning and other machine learning strategies can also be fruitful, as indicated by [59,60]. However, as of our latest understanding, no machine learning method has been firmly established with consistent outcomes for ABDA.…”
Section: Bayes Filtersmentioning
confidence: 99%
“…Notably, [58] introduced a pioneering method for agent-based data assimilation by applying quantum mechanics field theory to reinterpret Equation (1) using annihilation and creation operators. The integration of reinforcement learning and other machine learning strategies can also be fruitful, as indicated by [59,60]. However, as of our latest understanding, no machine learning method has been firmly established with consistent outcomes for ABDA.…”
Section: Bayes Filtersmentioning
confidence: 99%
“…[1] RT juga sebuah organisasi tingkat bawah dan sangat dekat dengan masyarakat serta memahami semua kondisi dan permasalahan yang dihadapi masyarakat di daerah dalam pemerintahan RT tersebut. [2] Dengan adanya RT diharapkan mampu membantu melaksanakan tugas Pemerintah dalam memberikan keyamanan pelayanan secara lebih maksimal kepada rakyat dilingkungan. [3] Agar interaksi ketua RT dengan rakyat memiliki dampak baik dan menjalankan proses peran serta fungsinya secara efisien maka di perlukan sebuah sistem pendataan yang Simple/mudah sesuai dengan tugas dan fungsinya melalui sebuah aplikasi berbasis web yang bernama Ruang 004.…”
Section: Pendahuluanunclassified
“…Starting from cognitive abilities (Marisa & Fitriyanti, 2019;Asfarina et al, 2019), enthusiasm for learning (Lin et al, 2018;Asrori & Tjalla, 2021), to learning skills (Juniyarti et al, 2018;Subtikasari & Neviyarni) , 2019;Folastri et al, 2018). However, other research states that classical guidance services for content mastery are also relevant to improve the emotional intelligence (Putri et al, 2019), the development of prosocial attitudes (Widiana et al, 2020;Kang et al, 2018;Ashraf et al, 2019;Sunarich & Rowan, 2017), moral development (Tobing & Pamungkas, 2020), and even career development (Hanifah, 2020).…”
Section: Kata Kuncimentioning
confidence: 99%