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sum(evals=) sum(evals)
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weight(eval=, weight=) weight(eval, weight)

Contents

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

XXX TODO: description of the role of scalar evaluators and the connection to Heuristic

g-value evaluator

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

g()

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)