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XXX TODO: description of the role of scalar evaluators and the connection to [[Doc/Heuristic|Heuristic]]
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== Max evaluator ==

Calculates the maximum of the sub-evaluators.

{{{
max(evals)
}}}

 * ''evals'' (list of [[Doc/ScalarEvaluator|ScalarEvaluator]]): at least one scalar evaluator
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Contents

  1. g-value evaluator
  2. Max evaluator
  3. Preference evaluator
  4. Sum evaluator
  5. Weighted evaluator

g-value evaluator

Returns the g-value (path cost) of the search node. 

g()

Max evaluator

Calculates the maximum of the sub-evaluators. 

max(evals)

Preference evaluator

Returns 0 if preferred is true and 1 otherwise. 

pref()

Sum evaluator

Calculates the sum of the sub-evaluators. 

sum(evals)

Weighted evaluator

Multiplies the value of the scalar evaluator with the given weight. 

weight(eval, weight)