complete inference system - significado y definición. Qué es complete inference system
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Qué (quién) es complete inference system - definición

COMPONENT OF THE SYSTEM THAT APPLIES LOGICAL RULES TO THE KNOWLEDGE BASE TO DEDUCE NEW INFORMATION
Expert system shell; Inference system; Rule-based inference engine

complete inference system      
<logic> An inference system A is complete with respect to another system B if A can reach every conclusion which is true in B. The dual to completeness is soundness. (1998-07-05)
Statistical inference         
  • The above image shows a histogram assessing the assumption of normality, which can be illustrated through the even spread underneath the bell curve.
PROCESS OF DEDUCING PROPERTIES OF AN UNDERLYING PROBABILITY DISTRIBUTION BY ANALYSIS OF DATA
InterpretingStatisticalData; Interpreting statistical data; Inferential statistics; Statistical analysis; Non-parametric inference; Inferential Statistics; Inductive strength; Inductive statistics; Statistical induction; Predictive inference; Statistics/Inference; Interpreting Statistical Data; Statistical Inference; Sampling statistics; Prediction theory; Inference (machine learning)
Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability.Upton, G.
complete graph         
SIMPLE UNDIRECTED GRAPH IN WHICH EVERY PAIR OF DISTINCT VERTICES IS CONNECTED BY A UNIQUE EDGE
Full graph; Complete Digraph; Complete digraph; K n; Tetrahedral Graph; Complete graphs
A graph which has a link between every pair of nodes. A complete bipartite graph can be partitioned into two subsets of nodes such that each node is joined to every node in the other subset. (1995-01-24)

Wikipedia

Inference engine

In the field of artificial intelligence, an inference engine is a component of the system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applies logical rules to the knowledge base and deduced new knowledge. This process would iterate as each new fact in the knowledge base could trigger additional rules in the inference engine. Inference engines work primarily in one of two modes either special rule or facts: forward chaining and backward chaining. Forward chaining starts with the known facts and asserts new facts. Backward chaining starts with goals, and works backward to determine what facts must be asserted so that the goals can be achieved.