concept
active
concept:machine-psychologyMachine psychology
Emerging field studying psychological properties of LLMs; the paper aims to bridge psychometric methodology with this field
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Papers (1)
paper
Thinkers (1)
thinker
- Thilo HagendorffintroducesAuthor of paper on deception abilities emerging in LLMs, cited.
Methods (1)
method
- Numeric self-reportassociated_withPrimary tool in human psychometrics for tracking latent internal states; adapted as the core measure in this paper for LLMs
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.
- Central research domain of the paper's literature search; explores formal approaches to developing consciousness in artificial systems.
- Intelligence realized in a non-organic, technological substrate, potentially free from biological constraints.
- CIMC research direction studying how AI systems develop internal models, form self-representations, and construct coherent personalities from language modeling
- Emerging multidisciplinary field at interface of artificial life, machine learning, and synthetic bioengineering that provides updated understanding of machines.
- The Cartesian epistemological assumption Alexander critiques: treating all phenomena as machines excludes the observer's self and cannot perceive living structure
- Theoretical construct establishing classical demarcation between machine and environment via input/output channels.
- Everyday mental-state vocabulary (beliefs, desires, goals) that the role-play framework allows us to use without literal anthropomorphism
- CIMC's central hypothesis: general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, verifiable through internal structure analysis