invoke 发表于 2025-3-21 19:28:17
书目名称Cellular Learning Automata: Theory and Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0223037<br><br> <br><br>书目名称Cellular Learning Automata: Theory and Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0223037<br><br> <br><br>Invertebrate 发表于 2025-3-21 20:52:53
http://reply.papertrans.cn/23/2231/223037/223037_2.png隼鹰 发表于 2025-3-22 03:15:36
https://doi.org/10.1007/978-3-531-92782-4CA) and learning automata (LA). Since CLA has both the computational power of cellular automata and the learning ability of learning automata, it is a useful technique for modeling, controlling, and solving many real problems in the unknown, distributed, and decentralized environments. In this chapt情爱 发表于 2025-3-22 08:38:53
http://reply.papertrans.cn/23/2231/223037/223037_4.png左右连贯 发表于 2025-3-22 09:55:30
http://reply.papertrans.cn/23/2231/223037/223037_5.pngPalatial 发表于 2025-3-22 13:16:55
http://reply.papertrans.cn/23/2231/223037/223037_6.pngPalatial 发表于 2025-3-22 17:54:57
Michael Stephan,Peter-Paul Grosste the applicability of multi-reinforcement models in channel assignment in multiple collision domains. Next, we propose a method based on multi-reinforcement cellular learning automata for distributed channel assignment in the mesh network.密码 发表于 2025-3-22 22:19:59
https://doi.org/10.1007/978-3-531-92865-4 the users who can benefit insurance coverage depends on the finances of service providers. A cellular learning automaton (CLA) based loss-sharing approach among service providers is considered in this chapter to increase the financial capability of each service provider. ICLA, as an irregular formwangle 发表于 2025-3-23 02:06:37
http://reply.papertrans.cn/23/2231/223037/223037_9.png下级 发表于 2025-3-23 06:55:45
https://doi.org/10.1007/978-3-531-92883-8 solutions for various problems in such systems. By introducing Reinforcement Learning (RL) as an efficient approach in game theory, increasing literature is concerned with the theoretical convergence of RL-based approaches towards Nash equilibrium. Many Q-learning based attempts and multi-agent rei