论文标题
二元相互作用中的耦合水平：神经和行为复杂性的分析
Levels of Coupling in Dyadic Interaction: An Analysis of Neural and Behavioral Complexity
论文作者
论文摘要
从一种实施方法中，一些先前的研究表明，社会互动在体现剂的神经和行为复杂性动力学中起着基本作用。特别是，已经表明，在相互作用中进化的内部结构有限的药物（2-神经元的大脑）可以克服这种局限性并表现出混乱的神经活动，通常与更复杂的动态系统（至少3维）有关。在本文中，我们为这项工作做出了两项贡献。首先，我们提出了可能对神经和行为复杂性产生影响的概念区分。其次，我们通过测试具有更丰富的内部结构并在更丰富但非社会的环境中进化的结果来测试先前结果的普遍性。我们证明，这样的代理可以达到与交互式环境中进化的代理相媲美的复杂程度。我们讨论了该结果对相互作用研究的重要性。
From an enactive approach, some previous studies have demonstrated that social interaction plays a fundamental role in the dynamics of neural and behavioral complexity of embodied agents. In particular, it has been shown that agents with a limited internal structure (2-neuron brains) that evolve in interaction can overcome this limitation and exhibit chaotic neural activity, typically associated with more complex dynamical systems (at least 3-dimensional). In the present paper we make two contributions to this line of work. First, we propose a conceptual distinction in levels of coupling between agents that could have an effect on neural and behavioral complexity. Second, we test the generalizability of previous results by testing agents with richer internal structure and evolving them in a richer, yet non-social, environment. We demonstrate that such agents can achieve levels of complexity comparable to agents that evolve in interactive settings. We discuss the significance of this result for the study of interaction.
