Predator-Prey Simulation Data
收藏arXiv2025-09-30 收录
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https://github.com/sarahpratt/introspective
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资源简介:
该数据集包含了模拟环境中捕食者捕捉猎物的情景,研究不同规划能力、感官能力和物理速度对捕捉成功率的影响。此外,该数据集让研究人员能够分析在捕食者与猎物互动过程中,规划、感官能力和物理能力之间的权衡。这是一项大规模的模拟,其中包含了各种参数的变化。研究任务是在不同策略、生理条件和感知能力下,评估捕食者捕捉猎物的表现。
This dataset encompasses predator-prey pursuit scenarios in simulated environments, examining the impacts of varying planning capabilities, sensory abilities, and physical speeds on capture success rates. Furthermore, this dataset enables researchers to analyze the trade-offs between planning, sensory, and physical capabilities during predator-prey interactions. This is a large-scale simulation incorporating diverse parametric variations. The core research task is to evaluate the prey-capturing performance of predators under different strategies, physiological conditions, and perceptual capabilities.



