کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
378253 659009 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Isolated word recognition in the Sigma cognitive architecture
ترجمه فارسی عنوان
به رسمیت شناختن لغت جداگانه در معماری شناختی سیگما
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Symbolic architectures are effective at complex cognitive reasoning, but typically are incapable of important forms of sub-cognitive processing – such as perception – without distinct modules connected to them via low-bandwidth interfaces. Neural architectures, in contrast, may be quite effective at the latter, but typically struggle with the former. Sigma has been designed to leverage the state-of-the-art hybrid (discrete + continuous) mixed (symbolic + probabilistic) capability of graphical models to provide in a uniform non-modular fashion effective forms of, and integration across, both cognitive and sub-cognitive behavior. Here it is shown that Sigma is not only capable of performing a simple variant of speech recognition via the same knowledge structures and reasoning algorithm used for cognitive processing, but also of leveraging its existing knowledge templates and learning algorithm to acquire automatically most of the structures and parameters needed for this recognition activity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biologically Inspired Cognitive Architectures - Volume 10, October 2014, Pages 1–9
نویسندگان
, , ,