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Interaction Science
A Temporal Science of Relational OrganizationEstablishes the paradigm: how cognitive, creative, social, developmental, therapeutic, and artificial systems become organized through relational activity over time.
An upcoming three-book work
Interaction Science: a temporal science of cognition, creativity, and artificial intelligence.
A forthcoming integrated work by Nicholas Davis, PhD, proposing interaction as a primary object of scientific inquiry—and developing the concepts, methods, instruments, and AI architectures required to study it.
The central proposition
What if interaction itself became a scientific object?
Cognition, creativity, intelligence, learning, and identity are not static properties of isolated agents. They are temporally unfolding achievements of interaction.
Many consequential phenomena cannot be adequately understood through static variables, isolated agents, final products, benchmark scores, or discrete outputs alone. These remain valuable measures, but they reveal little about how organization emerges, stabilizes, drifts, breaks down, repairs, and transforms.
Interaction Science argues that the evolving relation among people, artificial agents, materials, technologies, institutions, and environments must become a primary site of scientific inquiry. Interaction is not merely the channel through which already formed systems exchange information; it can shape what participants can perceive, intend, express, learn, and become.
One cumulative research program
Three books, one argument.
Each volume addresses a different requirement for a science capable of explaining relational organization through time.
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Temporal Instruments
Building the Empirical Science of InteractionDevelops Temporal Science as a process-preserving methodology and introduces instruments for observing events, trajectories, motifs, attractors, regimes, transitions, drift, coherence, and regulation.
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Enactive AI
A Theory and Architecture of Interactional IntelligenceTranslates the scientific and empirical foundations into a theory of AI able to recognize drift, sustain coherent sense-making, recover from breakdown, and reorganize participation.
The architecture of the work
From phenomenon to participation.
The books are designed as a progression: first name the phenomenon, then develop a way to observe it, then build instruments, and finally ask what kinds of AI can participate within the resulting world.
Interaction Science
Identifies the evolving organization of interaction as the phenomenon to be explained.
Temporal Science
Studies interaction as trajectory: preserving sequence, history, timing, transition, and change.
Temporal instruments
Make process observable through capture, segmentation, modeling, visualization, and interpretation.
Enactive AI
Develops systems that regulate coherent participation as conditions, relations, and goals change.
A shift in scientific attention
Not a rejection of existing science—a change of emphasis.
Individuals, mechanisms, prediction, performance, and outcomes still matter. The proposal situates them within the movement through which they become organized.
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StudyInteraction↓
StudyTrajectory↓
StudyProcess↓
StudyRegulation↓
StudyCoherence↓
StudyTemporal interpretationResearch instruments
Making temporal organization visible.
The project is grounded in an ecosystem of prototypes and analytical environments. These are not presented as final answers, but as early instruments for preserving and interpreting the organization conventional analysis often compresses away.
Cognitive Trajectory Modeling
Represents creative and cognitive activity as movement through changing, meaningful state spaces.
Cognitive Trajectory Laboratory
Supports segmentation, visualization, annotation, and interpretation of temporal process data.
Temporal Scope & Kalyriel Scope
Enable the discovery, comparison, validation, and sharing of patterns across complex interaction records.
Aether
Makes coupling, initiative, motif development, feedback, and shared organization available for study.
Emergence Machine
Explores drift detection, plasticity, regime change, and reorganization under non-stationary conditions.
HDMIC
Develops a hierarchical account of adaptive participation and coherence regulation for Enactive AI.
Follow the work
A book for an emerging field.
Interaction Science is being developed as an invitation: to researchers who study cognition and behavior, designers building human–AI systems, practitioners working with developmental or therapeutic process, and anyone asking how organization persists and transforms through interaction.