concept
active
concept:artificial-psychologyArtificial Psychology
CIMC research direction studying how AI systems develop internal models, form self-representations, and construct coherent personalities from language modeling
Neighborhood — ranked by edge-count
Papers (1)
paper
- cimcWhitepaperintroduces
Claims (1)
claim
- Grounds the artificial psychology research direction: LLM personalities reflect the basins into which human selves tend to fall
Concepts (2)
concept
- Large Language Models (LLMs)supportsTransformer-based models like GPT-4, LaMDA, PaLM; assessed for GWT indicators.
- Big Five Personality TaxonomysupportsPersonality taxonomy derived from aggregate statistics over language; noted as relevant to artificial psychology research on LLM personality attractors
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Emerging field studying psychological properties of LLMs; the paper aims to bridge psychometric methodology with this field
- Domain where consciousness theories are being applied to synthetic systems; part of broader context of unconventional embodiments.
- Everyday mental-state vocabulary (beliefs, desires, goals) that the role-play framework allows us to use without literal anthropomorphism
- Synthetic agents (here RL-trained neural networks) whose causal emergence was previously largely unknown; the paper addresses this gap.
- The possibility of involuntary inescapable negative valence experience in artificially conscious systems; a central ethical concern for CIMC
- Computational modeling approach studying living/cognitive systems; used to test hypotheses about self-illusion effects without direct intervention.
- Target phenomenon; paper seeks unified understanding via world models and life-mind continuity.