دانلود مقاله ISI انگلیسی شماره 42801
ترجمه فارسی عنوان مقاله

یک زبان بصری با کاربرد خاص برای مدل سازی فراشناخت در سیستم های هوشمند

عنوان انگلیسی
A domain-specific visual language for modeling metacognition in intelligent systems
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
42801 2015 16 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Biologically Inspired Cognitive Architectures, Volume 13, July 2015, Pages 75–90

ترجمه کلمات کلیدی
فراشناخت - دامنه خاص زبان بصری - سیستم هوشمند - ابزار مدل سازی - MOF
کلمات کلیدی انگلیسی
Metacognition; Domain-specific visual language; Intelligent system; Modeling tool; MOF
پیش نمایش مقاله
پیش نمایش مقاله  یک زبان بصری با کاربرد خاص برای مدل سازی فراشناخت در سیستم های هوشمند

چکیده انگلیسی

Metacognition has been used in artificial intelligence to increase the level of autonomy of intelligent systems. However the design of systems with metacognitive capabilities is a difficult task due to the number and complexity of processes involved. This paper presents a domain-specific visual language specifically developed for modeling metacognition in intelligent systems called M++. In M++ the specifications of the cognitive level (object-level) and metacognitive level (meta-level) are supported in a metamodel configured according to the standard Meta-Object Facility (MOF) of Model-Driven Architecture (MDA) methodology. M++ allows the generation of metacognitive diagrams in a visual editor named MetaThink. A validation process was conducted to ensure the reliability of M++ in terms of quality of the notation and consistency of generated models. The validation was performed using two techniques: (i) empirical study and (ii) model tracing. The results given in the experimental study demonstrate that M++ is a useful notation for the process of modeling metacognitive components in intelligent systems. Metacognitive models generated from the validation process using the Tracing technique were consistent with the MOF-based metamodel. M++ contribute to cognitive architecture research adding precision to metacognitive concepts and enabling cognitive architecture researchers to do fast and exploratory prototyping of metacognitive systems using MetaThink tool.