Computational Interaction & Cognitive Modeling
How can interaction trajectories, cognitive working practice, states, transitions and emergent patterns be computationally represented, analyzed and modeled over time?
What this space studies
The bridge between qualitative longitudinal observation and computationally representable states, patterns and dynamics. The space studies how interaction trajectories and cognitive working practice can be translated into computable structures and modeled over time. The focus also lies on how patterns arise: change points, state transitions and mechanism hypotheses that are compared on the same trajectory. This includes the twelve analysis procedures of the computational analysis family, from Temporal Pattern Mining to Multi-Hypothesis Reconstruction. The twelve analysis procedures of the computational analysis family are its core. In this space they are an object of research.
Central questions
- How can states and transitions be represented computationally from longitudinal interaction data?
- When is an externalized working practice formal enough to be represented as a model?
- How are competing explanations of a trajectory tested against each other computationally?
Why it matters
The central research question of the older site explicitly contains this point: parts of human cognitive practice may be externalized, computationally represented and then reintegrated.
Importance of the space
It is more than a list of analysis tools and more than Python or data analysis.
Studying emergence processes computationally
To study emergence processes computationally means to model how a pattern develops over time. Classifying a state is only the starting point. A model should represent interaction trajectories, state transitions, pattern formation and dynamic relations over time. Mechanism hypotheses are tested by whether they explain the observed sequence, and competing models are compared on the same trajectory.
Research programs
This space has no main program of its own. The programs below belong to other spaces and touch it.
Cognitive Externalization
How do recurring thinking operations and strategies move into methods, models, memory or agents?
Program details for Cognitive Externalization →
Core phenomena
- Temporal analysis
- State modeling
- Graph methods
- Semantic analysis
- Behavioral analysis
- Anomaly and difference
- Multi-hypothesis
- Computational representation (central)
- Further topics
How this space is investigated
Observation and relation
Every computationally produced structure carries its epistemic status.
Methods, systems and axes
Methods (12)
- Temporal Pattern MiningMethods and analysis procedures
- Sequence AnalysisMethods and analysis procedures
- Recurrence DetectionMethods and analysis procedures
- ClusteringMethods and analysis procedures
- Graph AnalysisMethods and analysis procedures
Systems (6)
- SELFGRAPHResearch systems
- Intelligence WorkbenchResearch systems
- KernelShared technical foundation
- RuntimeShared technical foundation
- StateSystem state, memory, security & integrity
Cross-cutting research axes (5)
- Emergent Intelligencefoundational
- Prediction & Behavioral Intelligencefoundational
- Adversarial Thinking & Epistemic Integrityfoundational
- Externalization & Reintegrationfoundational
- State, Memory & Continuity
Evidence & limits
Status of the analysis procedures
The analysis procedures are mostly kept as exploratory. They deliver candidate patterns and hypotheses. A finding counts as reliable only after repetition and counter-checking.
A modeled trajectory is not a demonstrated mechanism
Change points and state transitions show when a trajectory changes, not why. Whether such moments can be found reliably in interaction trajectories is an open test question. An explanation of a trajectory remains a hypothesis until it has held up on further trajectories or controls.
Boundary of this space
Computational models represent selected properties of interaction and cognition; they do not equate the model with the underlying cognitive process.
How to read status and origin
Every statement carries its status (observed, inferred, hypothesis, planned or unknown), no program is externally validated, and origin statements about systems are candidates.
Topics and publications
working formulation Formulated from the research program, not yet a fixed wording.
