Complete Environments for Prodigy

Complete Environments for Prodigy

The general problem solver at the core of Prodigy assumes that the domain knowledge is complete and specific. This means that the agent behaves rationally with respect to its knowledge and goals. However, since the knowledge representation in Prodigy is STRIPS-like, this requires that all effects of operators be modeled in the definition of the operators themselves (i.e., there can be no secondary effects).

However, the EXPERIMENTER module does Prodigy systems some ability to recognize and add to the domain knowledge when incomplete.


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