论文标题
为AI建立元决策:相关,表示和推理的本体论
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning
论文作者
论文摘要
我们提出了建立决策系统的本体,目的是建立为人工智能(AI)建立元决定制定,改善自主权并创建一个框架来建立指标和基准。为此,我们提出了相关性,表示和推理的三个部分,并讨论了它们在第三波认知系统中确保安全和缓解风险方面的价值。我们的命名法反映了有关决策的文献,我们的本体论使采用它的研究人员与其中一个或多个部分有关。
We propose an ontology of building decision-making systems, with the aim of establishing Meta-Decision-Making for Artificial Intelligence (AI), improving autonomy, and creating a framework to build metrics and benchmarks upon. To this end, we propose the three parts of Relevance, Representation, and Reasoning, and discuss their value in ensuring safety and mitigating risk in the context of third wave cognitive systems. Our nomenclature reflects the literature on decision-making, and our ontology allows researchers that adopt it to frame their work in relation to one or more of these parts.