Bibliographic record
Abstract
Purpose A US patent was recently granted for an artificial psychology dialog player with two artificial personalities and aging simulation. The purpose of this paper is to expose the usefulness and scientific roots and support the commercial viability of the patent based on a new cybernetic model of personality. Design/methodology/approach The design of the artificial personality utilizes a new four‐dimensional cybernetic model, where sentences are classified along the dimensions according to their motivational and cognitive content. The model is a dynamic nonlinear system described in box diagram form. The idea behind the model is rooted in the cybernetics concept of requisite variety and the model's characteristics predict systematic variation with age. The model explains phenomena hitherto found vague. Its predictions regarding age dependence of human behaviour over adult age is tested by online humour appreciation surveys. The methodology is to establish the validity of the model by referencing its a priori predictions against a posteriori empirical classification of survey data by applying statistical consistency tests. Findings The prediction was tested using score data from three online humour appreciation surveys. The results from all surveys confirm the prediction and validate the personality model. The model is indeed useful and the statistical consistency tests support the validity of the model. A novel formulation of Maturana's closed nervous system based on the model with the possibility of empirical validation was also found. Research limitations/implications The media of the analysis was only humorous sentences, while the predictions of the model can be applied to other media such as other types of expressions and semiotic symbols, which are outside the scope of this investigation. Only age‐related changes were investigated. Personality‐related preferences are planned for investigation at a later stage. Practical implications A general age link of types of humor was not available until now, the validation of this link brings closer the realization of improvement in man‐machine interaction. Other applications include marketing and the use of the model as an educational tool. Originality/value The model of personality has a new structure represented as a stable continuous nonlinear system. It employs a feedback mechanism to describe homeostasis (multiplier feedback), a cybernetic regulator that is not based on the familiar negative feedback control structure. Its value as an alternative tool of analysis and prediction cuts across wide disciplines such as psychology, animal behaviour, physical science, computing, engineering and commerce.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".