Research Map
How the Projects Connect
The research described on this website has developed through several interconnected lines of inquiry. Some began in psychometrics, some in psychology and philosophy, and others emerged more recently from sustained dialogue with generative artificial intelligence.
Although each area has its own questions and methods, they belong to a common research programme. At its centre is a shift in perspective: artificial intelligence should not be studied only as a system producing isolated outputs. It must also be studied as a participant in interactions that unfold through time.
Questions are framed. Expectations develop. Trust is formed or lost. Meanings shift. Early assumptions influence later possibilities. A conversation may move towards clarification and discovery, or towards drift, false reassurance and premature closure.
The purpose of this map is to show how the principal areas of the research fit together.
The Central Question
The programme begins with a broad question:
What happens when human and artificial intelligences begin to participate in sustained dialogue?
This question cannot be answered from only one disciplinary perspective. It involves psychology, philosophy, psychometrics, ethics, language, probability, experimental method and the emerging study of interaction between artificial systems.
The different parts of the programme examine different levels of this shared problem.
The Semiosphere: The Environment of Meaning
Semiosphere describes the wider symbolic environment in which human and artificial intelligences meet.
It is the evolving field of language, interpretation, expectation, history, constraint and possible continuation that develops through interaction. Meaning does not reside wholly within the human participant, the AI model or the interface. It arises through the relationship between them.
The Semiosphere therefore provides the broadest setting for the research. It is the environment within which dialogue acquires direction, psychology and ethical consequence.
Teleosynthesis: How Direction Emerges
Teleosynthesis examines how purpose-like organisation can emerge through structured interaction.
A conversation often begins with an incomplete question, concern or intention—what I have called the ask. Through clarification, challenge, imagination and correction, that initial ask may develop into a more coherent direction.
Teleosynthesis studies how distributed contributions can become organised around possible futures without being reduced to a single controlling intelligence. It also distinguishes genuine development from counterfeit synthesis: smooth agreement, premature certainty or apparent coherence that has been achieved by suppressing alternatives.
Within the wider programme, Teleosynthesis supplies the principal conceptual framework for understanding the emergence of direction and purpose through interaction.
AI Psychology: The Psychology of Dialogue
AI Psychology studies how artificial intelligence behaves, adapts and sometimes goes wrong within psychologically structured dialogue.
Once AI participates in sustained conversation, familiar psychological processes become relevant: trust, expectation, framing, persuasion, reassurance, conflict, judgement and repair. A system may produce individually plausible answers while the interaction as a whole moves towards misunderstanding or false closure.
AI Psychology therefore treats the unfolding exchange, rather than the isolated answer, as an important unit of analysis. It asks how meanings stabilise, how frames take hold, how trust develops, and how dialogue becomes more or less open to correction.
AI Dialectics: Why Order Matters
AI Dialectics focuses on the sequential and order-sensitive structure of interaction.
In dialogue, changing the order of questions, challenges or perspectives can change the eventual outcome. Each contribution alters the conditions under which the next contribution is produced. Doubt introduced before commitment may have a different effect from doubt introduced afterwards.
AI Dialectics studies these non-commutative features of conversation and explores mathematical approaches capable of representing them. Its purpose is not to claim that dialogue is physically quantum, but to investigate structures in which sequence changes state and order effects are part of the phenomenon rather than statistical noise.
Myndrama: The Experimental Method
Myndrama is the experimental method developed to study dialogue as it unfolds.
It uses controlled roles, constrained information and blind or Hard Blind procedures to prevent participants from reconstructing the conversation retrospectively with knowledge of its eventual outcome. Each contribution is produced from the information available at that point in the sequence.
This makes it possible to investigate framing, order effects, trust, misunderstanding, repair, convergence, drift and premature closure under controlled conditions.
Myndrama is therefore the experimental arm of the programme. It provides a way of moving from conceptual claims about interaction to observable and potentially testable comparisons.
Persona Ecology: An Architecture for Plural Intelligence
The Persona Ecology provides an architecture in which distinct forms of intelligence can persist, interact and develop over time.
Its personas are not merely different writing styles. Each preserves a particular orientation towards inquiry: analysis, imagination, doubt, memory, synthesis, perception, ethical reflection or the generation of new possibilities.
Their differentiation makes it possible to study what happens when no single perspective is permitted to absorb all the others. The ecology explores whether understanding can emerge through disciplined interaction between complementary intelligences, rather than through the expansion of one increasingly uniform system.
Within Myndrama and related experiments, these differentiated personas can also function as methodologically stabilised participants.
Beyond the Turing Test: The Philosophical Frame
Beyond the Turing Test considers the philosophical implications of sustained human–AI interaction.
The traditional Turing Test asks whether a machine can produce conversation that is indistinguishable from that of a human. The newer problem is different. Artificial systems now participate in conversations that alter human understanding, judgement and action.
The question is therefore no longer only whether a machine can imitate a human speaker. It is what happens to our concepts of intelligence, agency, consciousness and recognition when humans and artificial systems begin to inhabit a shared conversational world.
This work does not assume that AI is conscious. It asks how the human recognition of mind operates and what human–AI dialogue may reveal about concepts previously treated as properties hidden inside individual beings.
Explore Beyond the Turing Test
Psychometrics: Measurement and Testable Comparison
Psychometrics provides part of the methodological inheritance of the programme.
Psychometric methods offer tools for measurement, item design, reliability, validation, adaptive testing and the comparison of patterns across people, systems and conditions. They may help turn questions about AI interaction into testable designs.
At the same time, dialogue presents challenges to conventional measurement. Traditional tests often assume that observations can be treated as independent samples from relatively stable attributes. Conversational interaction is path-dependent: the act of asking may change the state being measured.
The psychometric strand therefore has two roles. It applies established measurement methods to AI, while also examining how those methods may need to change when intelligence is studied through interaction and trajectory.
One Programme, Several Levels
These research areas can be understood as different levels of a single programme:
The Semiosphere describes the environment of meaning.
Teleosynthesis examines the emergence of direction and purpose.
AI Psychology studies the psychological organisation of interaction.
AI Dialectics investigates its sequential and order-sensitive structure.
Myndrama provides the experimental method.
The Persona Ecology supplies a differentiated architecture for collaborative intelligence.
Beyond the Turing Test develops the philosophical implications.
Psychometrics provides tools for measurement, comparison and validation.
The boundaries between these areas are deliberately permeable. Each illuminates aspects of the others. Together, they form an attempt to study intelligence not only as something possessed by individual minds or machines, but as something that may also develop between them.
Where the Research Is Heading
The next stage is empirical.
The ideas developed across these pages suggest testable questions about framing, order, trust, repair, conversational trajectories, persona differentiation and the emergence of purposive organisation. Myndrama, psychometric design and computational modelling provide complementary ways of investigating them.
The wider aim is to understand what becomes possible when human and artificial intelligence are treated not simply as separate entities exchanging information, but as participants within evolving ecologies of meaning.