VIVACITY / SYSTEMS RESEARCH

Building the layer where intelligence becomes causal.

Vivacity works between world models, agent policies, and execution systems. The objective is a shared substrate for reasoning about state, action, uncertainty, and consequence.

SYSTEMS THESIS / 001

Prediction is not participation.

A world model can propose what may happen. An operational agent also needs persistent state, an action contract, an execution path, and evidence about what actually changed.

R.01

Persistent state spaces

Representations for environments whose variables, constraints, identity, and causal history survive beyond one inference turn.

PROGRAM
R.02

Action-conditioned dynamics

Methods for connecting a proposed action to candidate future states, admissibility conditions, and measurable consequences.

PROGRAM
R.03

Heterogeneous execution

A common runtime boundary across exact solvers, physics engines, learned rollouts, and domain-specific systems.

PROGRAM
R.04

Evaluation under change

Long-horizon evaluation that preserves partial observability, causal lineage, constraint violations, and the cost of recovery.

PROGRAM
Wt+At→Ξ→Wt+1

World state, action, execution operator, candidate next state.

TECHNICAL ACCESS

For teams building agents that must remain coherent while the world changes.

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