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Some AI Considerations in the Mathematical Modeling of Large Biological Pathways

机译:大型生物途径的数学建模中的一些AI注意事项

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摘要

The mathematical modeling of very large biological pathways presents serious computational challenges. Current techniques will no longer be adequate owing to their lack of scalability. Some of the resulting challenges are mathematical. Many of them arise from the knowledge representation, ambiguity, the qualitative nature the information, and the lack of enough infor-mation. This talk will describe the steps in the underlying mod-eling problem and the changes that occur as the pathways become large. There are computational challenges, but opportunities to incorporate artificial intelligence techniques into what has traditionally been a purely mathematical problem.
机译:很大的生物途径的数学模型提出了严重的计算挑战。由于缺乏可伸缩性,当前技术将不再足够。由此带来的一些挑战是数学上的。其中许多是由于知识的表示,模棱两可,信息的定性和缺乏足够的信息而产生的。本演讲将描述潜在的模型问题中的步骤以及随着路径变大而发生的变化。虽然存在计算上的挑战,但是有机会将人工智能技术纳入传统上纯粹是数学问题的领域。

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