探索性开发和利用性探索:游戏的现象学和搜索的计算动态
1Desautels Centre for Integrative Thinking, Rotman School of Management, University of Toronto, Toronto, ON, Canada mihnea.moldoveanu@rotman.utoronto.ca.
The Behavioral and brain sciences
|May 21, 2024
概括
这项研究引入了"开发性探索"和"探索性利用"的新概念,以改进搜索策略. 这些方法在计划和意外发现过程中增强了发现的新性和有用性.
科学领域:
- 决策理论 决策理论
- 信息科学 信息科学
- 计算智能是一种计算智能.
背景情况:
- 传统的勘探开发模式往往过于简单化.
- 探索和开发的平衡对于有效的搜索和发现至关重要.
- 现有的框架可能无法完全捕捉复杂的搜索动态.
研究的目的:
- 提出对勘探-开采权衡的更细致的理解.
- 在理论工具包中引入"开发性勘探"和"探索性开发"的概念.
- 增强搜索结果的新性和实用性.
主要方法:
- 搜索策略的概念分析.
- 拟议相互作用的算法可行性评估.
- 发展新型制度的理论框架.
主要成果:
- 计算上可行的和算法上可理解的相互作用的演示.
- 引入"开采性勘探"作为一个制度.
- 引入"探索性开采"作为一种制度.
结论:
- 勘探和开采之间的更复杂的相互作用是计算可处理的.
- 拟议的"开发性勘探"和"探索性开采"制度可以显著改善搜索结果.
- 采用这些新的概念工具可以导致更多的新和有用的发现.
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