用户引导的交互式探索，高效发现复杂系统中特定区域的多样模式。
Complex System Exploration with Interactive Human Guidance
- 通过用户定义的约束条件，实现对复杂系统中特定模式区域的高效探索。
- 在保持全局多样性的同时，最大化用户关注区域内的模式多样性。
- 适用于科学与艺术领域的复杂系统探索，支持非专业用户交互操作。
复杂系统涌现出的多样化模式使其广泛应用于科学和艺术领域。探索这些系统时，面临的挑战包括参数空间庞大以及参数与涌现模式之间的强非线性映射。此外，科学家和艺术家在探索时往往期望特定类型的模式，这一需求带来新的挑战。本文提出设计选择与实现方法，以在样本高效的前提下，最大化用户关注区域内的模式多样性（称为受限多样性）。用户通过显式约束表达兴趣区域，这些约束以系统无关的方式定义，使交互式探索成为可能，同时保持全局多样性。
原文摘要 · Abstract (English)
The diversity of patterns that emerge from complex systems motivates their use for scientific or artistic purposes. When exploring these systems, the challenges faced are the size of the parameter space and the strongly non-linear mapping between parameters and emerging patterns. In addition, artists and scientists who explore complex systems do so with an expectation of particular patterns. Taking these expectations into account adds a new set of challenges, which the exploration process must address. We provide design choices and their implementation to address these challenges; enabling the maximization of the diversity of patterns discovered in the user's region of interest -- which we call the constrained diversity -- in a sample-efficient manner. The region of interest is expressed in the form of explicit constraints. These constraints are formulated by the user in a system-agnostic way, and their addition enables interactive system exploration leading to constrained diversity, while maintaining global diversity.
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