Advances in Consumer Research
Issue:6 : 3109-3112
Original Article
Meta-Cognitive Architectures For Self-Monitoring And Error Awareness In Artificial Agents
Abinaya. K
1
 ,
Dhamayanthi. P
2
 ,
Sivanathan. M
3
 ,
S. Sakthivel Padaiyatchi
4
 ,
D. Sujeetha
5
 ,
N. Tamilarasi
6
1
Assistant professor CSE Jai Shriram Engineering College
2
Assistant Professor Computer Science and Engineering Kgisl institute of technology
3
Assistant professorInformation Technology Department,V. S. B. Engineering College, Karur, India
4
Professor,Department of Electrical and Electronics Engineering, Nehru Institute of Engineering and Technology, Coimbatore, India
5
Assistant Professor Computer science and Engineering DepartmentNehru Institute of Engineering and Technology
6
Assistant Professor Department of CCE Nehru institute of Technology
Abstract

Meta-cognitive architectures highlight artificial agents to evaluate, monitor and regulate their internal 
procedures, developing self-monitoring and error rectification. These AI-generated systems develop cognitive and 
supervisors’ layers to find anomalies, adapt behavior and increase reliability in dynamic environments to overcome 
challenges like scalability, complexity and highlight limitations in modern AI systems. 

Keywords
Artificial Intelligence
Meta-Cognitive
Error Detection
Self-monitoring
Cognitive Architectures
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