The Use of Artificial Intelligence In Applied Tasks of the Modern Information Society

L. A. Lisitsin, A. L. Lisitsin, A. L. Lisitsin
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Abstract

Purpose of reseach. The search for the possibilities and limitations of using artificial intelligence (AI) to solve poorly formalized (creative) tasks in various fields. Evaluation of the effectiveness of AI application in comparison with traditional methods. Analysis of the use of artificial intelligence based on genetic algorithms to optimize processes and solve complex poorly formalized tasks using the example of school scheduling.Methods. Using a genetic algorithm (GA) to schedule by combining and varying data is similar to evolutionary selection in nature.Results. As a result of the conducted software modeling using GA, a variant of the schedule for a typical urban secondary school was obtained, taking into account all the norms of the "school" SanPiN and the wishes of teachers, characterized by ease of use and flexibility when adding new restrictions, as well as high speed on ordinary office computers.Conclusion. The relevance of using genetic algorithms for scheduling lies in the rapid automatic search for the optimal or acceptable solution in a large space of possible options, taking into account the established limitations and priorities, as well as flexibility and adaptability for various types of tasks.
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人工智能在现代信息社会应用任务中的应用
研究目的。探索在不同领域使用人工智能(AI)解决形式化程度低(创造性)任务的可能性和局限性。与传统方法相比,评估人工智能应用的有效性。以学校排课为例,分析基于遗传算法的人工智能在优化流程和解决复杂的形式化程度低的任务中的应用。使用遗传算法(GA)通过组合和变化数据进行排课,这与自然界中的进化选择类似。使用遗传算法进行软件建模的结果是,在考虑到 "学校 "SanPiN 的所有规范和教师意愿的情况下,获得了一个典型城市中学的变体课程表,其特点是在添加新限制时易于使用和灵活,以及在普通办公计算机上的高速度。使用遗传算法进行时间安排的意义在于,它可以在大量可能的选择中快速自动搜索最优或可接受的解决方案,同时考虑到既定的限制和优先事项,以及对各种类型任务的灵活性和适应性。
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