Research
Change, Constraint, and Continuity
My research began in psychometrics: with questions about how human abilities, personality and ethical orientation can be measured without confusing a score with the person it represents.
Generative artificial intelligence has widened that inquiry. It now becomes possible to study not only intelligence within individuals or machines, but how understanding develops through language, interaction, sequence and shared inquiry.
Across these research areas, a common question recurs: how do meaning, direction and new possibilities arise under conditions of change, constraint and continuity? The unit of study may be a test response, a language-game, a human–AI dialogue, a sequence of differentiated personas or the longer trajectory through which an initially incomplete ask becomes something more coherent.
The individual research areas approach this problem at different levels. AI Semiosphere and Beyond the Turing Test provide the linguistic and philosophical foundations. AI Agents examines how distinct perspectives and continuing histories contribute to shared inquiry within the Persona Ecology. Creative Exceedance and Teleosynthesis investigate novelty and emerging direction. AI Dialectics and Myndrama provide ways of studying sequence, interaction and alternative paths. AI Psychology and Psychometric Test Development connect these questions with measurement, evidence and practical application.
Together, these pages form a developing research programme rather than a completed theory. They ask how emerging forms of human–AI intelligence can be made observable, testable and answerable to evidence, while leaving genuinely open questions open. The Research Map shows how the different areas connect; the links below provide entry points into each.
See how the research programme fits together
New evidence note: The Evidence Has Moved — independent findings that make digital creativity and teleosynthesis empirically testable.