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Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
[2] [3] Today's employee scheduling software often includes mobile applications. Mobile scheduling further increased scheduling productivity and eliminated inefficient scheduling steps. [2] It may also include functionality including applicant tracking and on-boarding, time and attendance, and automatic limits on overtime.
Artificial intelligence (AI) and machine learning algorithms have been leveraged to optimize scheduling, minimize conflicts, and improve appointment routing. Virtual assistants and chatbots have also been integrated into scheduling software, enabling automated customer interactions and self-service booking.
A job scheduler is a computer application for controlling unattended background program execution of jobs. [1] This is commonly called batch scheduling, as execution of non-interactive jobs is often called batch processing, though traditional job and batch are distinguished and contrasted; see that page for details.
Pages in category "Automated planning and scheduling" The following 28 pages are in this category, out of 28 total. ... Planning Domain Definition Language;
The Unix programs cron, at, and batch (today batch is a variant of at) allow for complex scheduling of jobs. Windows has a job scheduler . Most high-performance computing clusters use batch processing to maximize cluster usage.
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The International Conference on Automated Planning and Scheduling (ICAPS) is a leading international academic conference in automated planning and scheduling held annually for researchers and practitioners in planning and scheduling.