论文标题
人工智能在人类行为的起源中
Grounding Artificial Intelligence in the Origins of Human Behavior
论文作者
论文摘要
人工智能（AI）的最新进展已恢复了对能够获得开放式技能曲目的代理商的追求。但是，尽管这种能力与人类智能的特征从根本上相关，但在该领域的研究很少考虑可能引导物种进化过程中复杂认知能力出现的过程。 人类行为生态学（HBE）的研究试图了解如何将表征人性的行为视为对我们生态利基结构的重大变化的适应性反应。在本文中，我们提出了一个框架，强调了环境复杂性在开放式技能获取中的作用，该框架基于HBE的主要假设以及最新的增强学习贡献（RL）。我们使用此框架来突出两个学科之间的基本联系，并确定引导生态复杂性并为AI研究人员创建有希望的研究方向的反馈回路。
Recent advances in Artificial Intelligence (AI) have revived the quest for agents able to acquire an open-ended repertoire of skills. However, although this ability is fundamentally related to the characteristics of human intelligence, research in this field rarely considers the processes that may have guided the emergence of complex cognitive capacities during the evolution of the species. Research in Human Behavioral Ecology (HBE) seeks to understand how the behaviors characterizing human nature can be conceived as adaptive responses to major changes in the structure of our ecological niche. In this paper, we propose a framework highlighting the role of environmental complexity in open-ended skill acquisition, grounded in major hypotheses from HBE and recent contributions in Reinforcement learning (RL). We use this framework to highlight fundamental links between the two disciplines, as well as to identify feedback loops that bootstrap ecological complexity and create promising research directions for AI researchers.
