Self-awareness is a crucial aspect of artificial intelligence, enabling systems to introspect, adapt, and improve their decision-making processes. This paper explores the integration of meta-reasoning techniques into AI systems to foster self-awareness and enhance autonomous decision-making capabilities. By employing meta-reasoning, AI agents gain the ability to monitor, evaluate, and regulate their own reasoning processes, leading to more adaptive and robust behavior. We present a comprehensive review of meta-reasoning approaches and their application in autonomous systems. Through empirical evaluations and case studies, we demonstrate the effectiveness of meta-reasoning techniques in improving decision-making performance across various domains. This work contributes to the advancement of self-aware AI systems and lays the foundation for future research in meta-reasoning and autonomous intelligence. DOI - https://doi.org/10.65525/SVUP.9788199651517.2026.92-95.
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