A domain-specific visual language for modeling metacognition in intelligent systems

被引:2
|
作者
Caro, Manuel F. [1 ]
Josyula, Darsana P. [2 ]
Jimenez, Jovani A. [3 ]
Kennedy, Catriona M. [4 ]
Cox, Michael T. [5 ]
机构
[1] Univ Cordoba, Dept Informat Educ, Grp Invest Informat & Computac Cognit, Monteria, Cor, Colombia
[2] Bowie State Univ, Dept Comp Sci, Bowie, MD USA
[3] Univ Nacl Colombia, Dept Ciencias Computac & Decis, Medellin, Ant, Colombia
[4] Univ Manchester, Sch Comp Sci, Manchester, Lancs, England
[5] Wright State Res Inst, Beavercreek, OH 45431 USA
关键词
Metacognition; Domain-specific visual language; Intelligent system; Modeling tool; MOF; METAMODEL;
D O I
10.1016/j.bica.2015.06.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 Meta Think. 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 metannodel. M++ contribute to cognitive architecture research adding precision to metacognitive concepts and enabling cognitive architecture researchers to do fast and exploratory prototyping of nnetacognitive systems using Meta Think tool. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:75 / 90
页数:16
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