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Explains phenomena by asserting that current state is the necessary consequence of previous states.

Explains phenomena by assigning likelihoods to outcomes, acknowledging uncertainty in the effect.

Explains phenomena where higher-level system properties dictate the behavior of lower-level components.

Explains phenomena as the result of interactions and compositions of foundational elements.

Seeks to explain phenomena by understanding the mechanism through which the outcome is produced.

Explains phenomena based on the functions or roles of components within a system, often with a focus on why something occurs.

Explains actions or events by their intended purpose or goal, rather than the causes that brought them about.

A concept where the causes present are enough to account for the occurrence of the effect.

Explains phenomena by referring to conditions that must be present for an effect to occur.

Analyzes causal relationships by considering what would happen if the cause were not present.

Quantifies causal effects by considering changes due to interventions in a system.

Refers to the process or sequence of events that causes one thing to lead to another in a particular context.

A relationship where the causality is passed down a chain, from one event to another.

Occurs when an effect could be the outcome of multiple independent causes.

Refers to inherent properties that tend to bring about certain effects under relevant conditions.

Explains phenomena where the cause and effect occur simultaneously or within a minimal time frame.

Explores causal connections that unfold over time, assuming that causes precede their effects.

A concept in which the entire set of relevant factors in an environment contributes to the causation of an event.

The capacities or abilities that different entities possess, which enable them to be the source of specific effects.