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Что (кто) такое causal$12000$ - определение

APPROACH TO QUANTUM PHYSICS
Causal set; Causal Set; Causal Sets; Causet; Causal set theory; Causal set theory bibliography; User:Sumatisurya/sandbox; Causal Set Theory Bibliography; Causal set bibliography
  • A plot of 1000 sprinkled points in 1+1 dimensions
  • A plot of geodesics between two points in a 180-point causal set made by sprinkling into 1+1 dimensions

Dynamic causal modeling         
  • Models of the cortical column used in EEG/MEG/LFP analysis. Self-connections on each population are present but not shown for clarity. Left: DCM for ERP. Right: Canonical Microcircuit (CMC). 1=spiny stellate cells (layer IV), 2=inhibitory interneurons, 3=(deep) pyramidal cells and 4=superficial pyramidal cells.
  • The neural model in DCM for fMRI. z1 and z2 are the mean levels of activity in each region. Parameters A are the effective connectivity, B is the modulation of connectivity by a specific experimental condition and C is the driving input.
FMRI ANALYSIS METHOD
Dynamic causal modelling; User:Peterzlondon/sandbox; Draft:Dynamic causal modeling
Dynamic causal modeling (DCM) is a framework for specifying models, fitting them to data and comparing their evidence using Bayesian model comparison. It uses nonlinear state-space models in continuous time, specified using stochastic or ordinary differential equations.
Udav-1 anti-submarine system         
Udav-1; Udav-1M; RBU-12000
The UDAV-1 system is a Russian ship-borne Anti-submarine weapon system. The weapon fires a number of different types of rockets, which in addition to attacking submarines provide a multi-layer defense against torpedoes and frogmen.
Causal reasoning         
  • Example of a single cause with multiple effects
  • New Caledonian Crow (''Corvus moneduloides'')
  • Example of causal homeostasis
  • Example of multiple causes with a single effect
  • Example of a causal chain
PROCESS OF IDENTIFYING CAUSALITY: THE RELATIONSHIP BETWEEN A CAUSE AND ITS EFFECT
Causal reasoning (psychology); User:Lilypad221/sandbox; Causal Reasoning (Psychology); Inductive causal reasoning; Deductive causal reasoning; Abductive causal reasoning
Causal reasoning is the process of identifying causality: the relationship between a cause and its effect. The study of causality extends from ancient philosophy to contemporary neuropsychology; assumptions about the nature of causality may be shown to be functions of a previous event preceding a later one.

Википедия

Causal sets

The causal sets program is an approach to quantum gravity. Its founding principles are that spacetime is fundamentally discrete (a collection of discrete spacetime points, called the elements of the causal set) and that spacetime events are related by a partial order. This partial order has the physical meaning of the causality relations between spacetime events.

The program is based on a theorem by David Malament that states that if there is a bijective map between two past and future distinguishing space times that preserves their causal structure then the map is a conformal isomorphism. The conformal factor that is left undetermined is related to the volume of regions in the spacetime. This volume factor can be recovered by specifying a volume element for each space time point. The volume of a space time region could then be found by counting the number of points in that region.

Causal sets was initiated by Rafael Sorkin who continues to be the main proponent of the program. He has coined the slogan "Order + Number = Geometry" to characterize the above argument. The program provides a theory in which space time is fundamentally discrete while retaining local Lorentz invariance.