Ryan Kevin J
Department of Philosophy, University of Tennessee, Knoxville, TN, United States.
Front Robot AI. 2023 Aug 17;10:1126033. doi: 10.3389/frobt.2023.1126033. eCollection 2023.
Understanding novelty and improvisation in music requires gathering insight from a variety of disciplines. One fruitful path for synthesizing these insights is via modeling. As such, my aim in this paper is to start building a bridge between traditional cognitive models and contemporary embodied and ecological approaches to cognitive science. To achieve this task, I offer a perspective on a model that would combine elements of ecological psychology (especially affordances) and the Learning Intelligent Decision Agent (LIDA) cognitive architecture. Jeff Pressing's cognitive model of musical improvisation will also be a central link between these elements. While some overlap between these three areas already exists, there are several points of tension between them, notably concerning the nature of perception and the function of artificial general intelligence modeling. I thus aim to alleviate the most worrisome concerns here, introduce several future research questions, and conclude with several points on how my account is part of a general theory, rather than merely a redescription of existent work.
理解音乐中的新颖性和即兴创作需要从多种学科中获取见解。综合这些见解的一条富有成效的途径是通过建模。因此,我在本文中的目标是开始在传统认知模型与当代认知科学的具身和生态方法之间架起一座桥梁。为了完成这项任务,我提出了一种关于模型的观点,该模型将结合生态心理学(特别是可供性)的元素和学习智能决策代理(LIDA)认知架构。杰夫·普雷斯汀(Jeff Pressing)的音乐即兴创作认知模型也将是这些元素之间的核心纽带。虽然这三个领域之间已经存在一些重叠,但它们之间也存在几个紧张点,特别是在感知的本质和通用人工智能建模的功能方面。因此,我的目标是缓解这里最令人担忧的问题,提出几个未来的研究问题,并以几点说明我的观点如何成为一个通用理论的一部分,而不仅仅是对现有工作的重新描述作为结论。