Exobiology Branch, NASA Ames Research Center, Moffett Field, California, USA.
SWPS University of Social Sciences and Humanities, Warsaw, Poland.
Astrobiology. 2020 Oct;20(10):1236-1250. doi: 10.1089/ast.2019.2151. Epub 2020 Aug 17.
Conceptual frameworks are developed for evaluating the ability of different biosignatures to provide evidence for the presence of life in planned missions or observational studies. The focus is on intrinsic characteristics of biosignatures in space environments rather than on their detection, which depends on technology. Evaluation procedures are drawn from extensive studies in decision theory on related problems in business, engineering, medical fields, and the social arena. Three approaches are particularly useful. Two of them, Signal Detection Theory and Bayesian hypothesis testing, are based on probabilities. The third approach is based on utility theory. In all the frameworks, knowledge about a subject matter has to be translated into probabilities and/or utilities in a multistep process called elicitation. We present the first attempt to cover all steps, from acquiring knowledge about biosignatures to assigning probabilities or utilities to global quantities, such as false positives and false negatives. Since elicitation involves human judgment that is always prone to perceptual and cognitive biases, the relevant biases are discussed and illustrated in examples. We further discuss at which stage of elicitation human judgment should be involved to ensure the most reliable outcomes. An example, how evaluating biosignatures might be implemented, is given in the Supplementary Information.
概念框架是为了评估不同生物特征在计划任务或观测研究中提供生命存在证据的能力而开发的。重点是关注空间环境中生物特征的内在特征,而不是它们的检测,这取决于技术。评估程序取自决策理论中关于商业、工程、医学领域和社会领域的相关问题的广泛研究。有三种方法特别有用。其中两种,信号检测理论和贝叶斯假设检验,基于概率。第三种方法基于效用理论。在所有框架中,必须将关于主题的知识转化为概率和/或效用,这是一个称为启发式的多步骤过程。我们首次尝试涵盖从获取生物特征知识到为全局数量(如假阳性和假阴性)分配概率或效用的所有步骤。由于启发式涉及人类判断,而人类判断总是容易受到感知和认知偏差的影响,因此在示例中讨论并说明了相关偏差。我们进一步讨论了在启发式的哪个阶段应该涉及人类判断,以确保获得最可靠的结果。在补充信息中给出了如何实施生物特征评估的示例。