We present an initial set of factors, features, and constraints for developing a Computational Auditory System (CAS, aka less formally an artificial ear, AE) for use by cognitive architectures. We start to define a CAS and what tasks it should be able to perform. We then outline the features of a CAS for use by a cognitive architecture and factors that influence its performance. We conclude with an update on what has been created so far and insights on how to create and use a CAS in a cognitive architecture and include a set of functionalities for an artificial ear.

翻译：我们提出了用于认知架构的计算性审计系统(CAS, 不太正式的人工耳, AE)开发的初步因素、特征和制约因素。我们开始定义一种计算性审计系统及其应该能够履行的任务。然后我们概述了CAS的特征,供认知性结构使用,以及影响其性能的因素。我们最后介绍了迄今为止所创建的系统的最新情况,并深入了解了如何在认知架构中创建和使用CAS,并包括了一套人工耳功能。