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Consistent heuristic

In the study of path-finding problems in artificial intelligence, a heuristic function is said to be consistent, or monotone, if its estimate is always less than or equal to the estimated distance from any neighbouring vertex to the goal, plus the cost of reaching that neighbour.

Art, Consequences of monotonicity & Overview

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Consequences of monotonicity

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Consistent heuristic

Nodes13
Edges12
Triples3
Avg. degree1.85
Density0.153846
Components1

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Consistent heuristic

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related to Consequences of monotonicity · 3
Consistent heuristic → Consistent, It's, The

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Important terminology

heuristic consistent displaystyle cost node admissible goal path always reaching true estimate equal estimated i-1 since also non-decreasing optimal expansion

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SubjectPredicateObjectConfidenceSrc
Consistent heuristicrelated to Consequences of monotonicityConsistent0.60section
Consistent heuristicrelated to Consequences of monotonicityIt's0.60section
Consistent heuristicrelated to Consequences of monotonicityThe0.60section

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