Leveraging Al for Cognitive Self-Engineering: A Framework for Externalized Intelligence

Abstract

This paper explores a novel methodology for utilizing artificial intelligence (Al), specifically large language models (LLMs) like ChatGPT, as an external cognitive augmentation tool. By integrating recursive self-analysis, structured thought expansion, and Al-facilitated selfmodification, individuals can enhance cognitive efficiency, accelerate self-improvement, and systematically refine their intellectual and psychological faculties. This approach builds on theories of extended cognition, recursive intelligence, and cognitive bias mitigation, demonstrating Al’s potential as a structured self-engineering framework. The implications extend to research, strategic decision-making, therapy, and personal development.

Author's Profile

Analytics

Added to PP
2025-02-14

Downloads
51 (#103,765)

6 months
51 (#96,503)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?