Titlebook: Computer Supported Cooperative Work and Social Computing; 18th CCF Conference, Yuqing Sun,Tun Lu,Bowen Du Conference proceedings 2024 The E

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Explicit Coordination Based Multi-agent Reinforcement Learning for Intelligent Traffic Signal Controormation for self-supervised training. To address these issues, this paper proposes a self-supervised, explicit coordination based multi-agent reinforcement learning approach. Additionally, a phase boosting learning from demonstration method is introduced in the early training stages. Extensive expe

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A Crowdsourcing Task Allocation Mechanism for Hybrid Worker Context Based on Skill Level Updatingbe handled by ordinary workers. Additionally, collaborative efforts among multiple workers can enhance task execution efficiency and reduce task durations. Building on these practical observations, this paper proposes a task allocation model and simulates the improvement of worker skill levels. In s

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Context-Aware Automatic Splitting Method for?Structured Complex Crowdsourcing Tasks weighted graph with nodes representing potential sub tasks and weighted edges representing the relationship between sub tasks. Experimental results on real translation tasks demonstrate that using our method could achieve higher scores compared with other methods.

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Memetic Algorithm with?Exchange Coding for?Intelligent Scheduling Optimizationability of the algorithm. Experimental results on instances with nine problem scales generated randomly show that compared with competing algorithms, the proposed algorithm has faster convergence speed, higher search efficiency, and can obtain intelligent scheduling plans with higher employee satisf

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