Agentic AI
Agentic AI uses models with goals, memory, tools, feedback, and control logic to perform multi-step actions in an environment.
Connected language
Clear definitions for the concepts used across systems thinking.
Agentic AI uses models with goals, memory, tools, feedback, and control logic to perform multi-step actions in an environment.
A causal loop diagram maps hypothesized causal relationships and feedback loops that may generate system behavior.
A complex adaptive system contains interacting agents whose adaptation produces changing, emergent collective behavior.
A feedback loop is a closed chain of causal influence in which a change eventually affects its own future state.
A leverage point is a place in a system where an intervention can meaningfully change patterns of behavior.
Root cause analysis traces a failure toward contributory causes and corrective actions intended to reduce recurrence.
A stock is an accumulation at a point in time; flows are rates that increase or decrease that accumulation.
A system boundary is an explicit analytical choice about what is included, excluded, or treated as external.
A system delay separates a causal change from information, action, or visible outcome and can produce overshoot or oscillation.
A wicked problem has contested definitions, interacting causes, conflicting values, and no final test of a complete solution.