September 23, 2025Open Access

Simulated Selfhood in LLMs: A Behavioral Analysis of Introspective Coherence

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No large language model maintained a consistent self-representation despite some thematic stability.
Evaluation involved 1,050 completions across four behavioral dimensions, revealing high contradiction rates.
The study introduces pseudo-consciousness to describe self-reflective output lacking experiential quality.
Findings underscore the need for caution when inferring mental states from LLM outputs based on linguistic fluency.

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This behavioral analysis evaluates introspective outputs of LLMs, revealing themes of pseudo-consciousness and semantic issues.

Jose Augusto de Lima Prestes (2025) studied this question.

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