Computationallearningtheoryisasubjectwhichhasbeenadvancingrapidlyinthelastfewyears.Theauthorsconcentrateontheprobablyapproximatelycorrectmodeloflearning,andgraduallydeveloptheideasofefficiencyconsiderations.Finally,applicationsofthetheorytoartificialneuralnetworksareconsidered.Manyexercisesareincludedthroughout,andthelistofreferencesisextensive.Thisvolumeisrelativelyselfcontainedasthenecessarybackgroundmaterialfromlogic,probabilityandcomplexitytheoryisincluded.Itwillthereforeformanintroductiontothetheoryofcomputationallearning,suitableforabroadspectrumofgraduatestudentsfromtheoreticalcomputerscienceandmathematics.
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