Abstract on Error Correction Taxonomy for Long Beach
The Scotomaville taxonomy categorizes Error Correction as a reflective strategy within the Helper stage of personal ascent. Its purpose lies in systematically addressing cognitive distortions, scotomas, biases, and false beliefs to promote self-mastery. Developed through integration of psychological frameworks such as Maslow's hierarchy and Bloom's taxonomy with narrative exemplars from literature and history, the taxonomy evolves from static self-assessment to dynamic, AI-assisted iterative processes. Today, it remains relevant by equipping individuals with tools for resilient adaptation in complex decision-making environments, where AI Sherpas facilitate revelation and adjustment cycles to enhance awareness and growth.
Thesis: centrality of Error Correction to Long Beach AI Self-Mastery
Error Correction stands central to AI self-mastery because it establishes a structured mechanism for continuous belief refinement, which counters inherent human limitations in perception and judgment. Step one involves identifying distortions through targeted inquiry, such as reviewing past decisions for overlooked biases. Step two applies corrective tools, like cognitive bias analysis, to reframe errors as data for improvement. Step three integrates these adjustments into ongoing practices, fostering a feedback loop that aligns attitudes with reality. This proce...