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最小种子集问题

The Minimal Seed Set Problem
课程网址: http://videolectures.net/icaps2011_gefen_seed/  
主讲教师: Avitan Gefen
开课单位: 本古里安大学
开课时间: 2010-06-16
课程语种: 英语
中文简介:
本文定义和研究了一个新的、有趣的、具有挑战性的基准问题,它起源于系统生物学。最小种子集问题的定义如下:给出一个生物体代谢反应的描述,描述它能合成所有能合成的营养素的最小营养素集。目前系统生物学中使用的方法只产生近似解。虽然将其作为一个规划问题是很自然的,但是当前的最优规划人员无法解决它,而非最优规划人员返回的规划离最优还很远。作为一个规划问题,它本质上是免费的,有许多零成本的行动,所有的主张都是里程碑,并且存在着许多合法的计划排列。我们展示了一个简单的未成形搜索算法如何利用子目标之间固有的独立性,通过大幅度减少分支因子来解决问题。
课程简介: This paper defines and studies a new, interesting, and challenging benchmark problem that originates in systems biology. The minimal seed-set problem is defined as follows: given a description of the metabolic reactions of an organism, characterize the minimal set of nutrients with which it could synthesize all nutrients it is capable of synthesizing. Current methods used in systems biology yield only approximate solutions. And although it is natural to cast it as a planning problem, current optimal planners are unable to solve it, while non-optimal planners return plans that are very far from optimal. As a planning problem, it is inherently delete-free, has many zero-cost actions, all propositions are landmarks, and many legal permutations of the plan exist. We show how a simple uninformed search algorithm that exploits inherent independence between sub-goals can solve it optimally by reducing the branching factor drastically.
关 键 词: 计算机科学; 人工智能; 规划与调度
课程来源: 视频讲座网
最后编审: 2019-11-17:cwx
阅读次数: 26