YZ Sözlüğü
Yapay Zekanın tam sözlüğü
Do-operator
Mathematical operator denoted do(X=x) that represents a forced intervention on a variable X, distinguishing action from passive observation in causal models.
Acyclic Causal Graph
A directed acyclic graphical representation of the causal relationships between variables, where edges indicate direct influences and the absence of cycles ensures causal consistency.
Structural Causal Model
Mathematical formalism combining structural equations and causal graphs to represent the data-generating mechanisms and possible interventions.
Average Causal Effect
The average difference between potential outcomes under treatment and control for a population, quantifying the causal impact of an intervention.
Causal Conditioning
The process of restricting the analysis to specific subpopulations to control for confounding variables and isolate direct causal effects.
Intervention Probability
The probability distribution resulting from a forced intervention on the system, denoted P(Y | do(X=x)), distinct from the standard conditional probability.
Causal Closure
The principle stating that every effect has a sufficient cause within the system, ensuring the completeness of the causal model for analysis and prediction.