In control theory, a causal system (also known as a physical or nonanticipative system) is a system where the output depends on past and current inputs...

which are also said to be causal factors for it, and all lie in its past. An effect can in turn be a cause of, or causal factor for, many other effects...

In signal processing, a causal filter is a linear and time-invariant causal system. The word causal indicates that the filter output depends only on past...

on present input values. An acausal system is a system that is not a causal system, that is one that depends on some future input values and possibly on...

memoryless system is itself a scaled impulse. Systems with memory do depend on past input. Causal systems do not depend on any future input. Non-causal or anticipatory...

metaphysics, a causal model (or structural causal model) is a conceptual model that describes the causal mechanisms of a system. Several types of causal notation...

The theory of causal fermion systems is an approach to describe fundamental physics. It provides a unification of the weak, the strong and the electromagnetic...

In the system dynamics methodology, a problem or a system (e.g., ecosystem, political system or mechanical system) may be represented as a causal loop diagram...

A causal loop diagram (CLD) is a causal diagram that visualizes how different variables in a system are causally interrelated. The diagram consists of...

linear, time-invariant system is said to be minimum-phase if the system and its inverse are causal and stable. The most general causal LTI transfer function...

which helps to convey certain properties of the system such as: Stability Causal system / anticausal system Region of convergence (ROC) Minimum phase / non...

evaluate the Z-transform of the unit impulse response of a discrete-time causal system. An important example of the unilateral Z-transform is the probability-generating...

practical use for causal AI is for organisations to explain decision-making and the causes for a decision. Systems based on causal AI, by identifying...

that involve a time delay τ are required to be causal (meaning that τ > 0). A causal system is a system where the impulse response h(t) is zero for all...

The Rubin causal model (RCM), also known as the Neyman–Rubin causal model, is an approach to the statistical analysis of cause and effect based on the...

the context of time series analysis of causal processes. It is common for some factors within a causal system to be dependent for their value in period...

so. On this view, actions are distinguished from other events by their causal history. Causalist theories include Donald Davidson's account, which defines...

causal determinism, that the occurrence or existence of yet other things depends upon our deliberating, choosing and acting in a certain way. Causal determinism...

Causal consistency is one of the major memory consistency models. In concurrent programming, where concurrent processes are accessing a shared memory,...

Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main...

influences another (general) Causal contact – Sharing an event that affects entities in a causal way Causal system – System where the output depends only...

reflect imperfect knowledge of a deterministic system but other times interpreted to mean that the causal system under study has an inherently indeterministic...

that involve a time delay τ are required to be causal (meaning that τ > 0). A causal system is a system where the impulse response h(t) is zero for all...

feedback systems: Simple causal reasoning about a feedback system is difficult because the first system influences the second and second system influences...

a uniform discrete space linear two-dimensional (2d) system that is space invariant and causal. It can be represented in matrix-vector form as follows:...

The causal sets program is an approach to quantum gravity. Its founding principles are that spacetime is fundamentally discrete (a collection of discrete...

individually as "causal loops." The term "time loop" is sometimes referred to as a causal loop, but although they appear similar, causal loops are unchanging...

existence can only be apprehended as a leap. In the same manner, every causal system presupposes an external environment as the condition of change. Every...

other symbols. Causal notation is notation used to express cause and effect. In nature and human societies, many phenomena have causal relationships where...

interdependent components that can be natural or artificial. Every system has causal boundaries, is influenced by its context, defined by its structure...