04454nam 22007695 450 99646570650331620200701020805.03-540-44846-210.1007/b12055(CKB)1000000000212158(SSID)ssj0000323947(PQKBManifestationID)11246666(PQKBTitleCode)TC0000323947(PQKBWorkID)10303978(PQKB)10229719(DE-He213)978-3-540-44846-4(MiAaPQ)EBC3089022(PPN)155211684(EXLCZ)99100000000021215820121227d2003 u| 0engurnn#008mamaatxtccrInductive Synthesis of Functional Programs [electronic resource] Universal Planning, Folding of Finite Programs, and Schema Abstraction by Analogical Reasoning /by Ute Schmid1st ed. 2003.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2003.1 online resource (XXII, 402 p.)Lecture Notes in Artificial Intelligence ;2654Bibliographic Level Mode of Issuance: Monograph3-540-40174-1 Includes bibliographical references at the end of each chapters and index.1. Introduction -- 1. Introduction -- I. Planning -- 2. State-Based Planning -- 3. Constructing Complete Sets of Optimal Plans -- 4. Integrating Function Application in State-Based Planning -- 5. Conclusions and Further Research -- II. Inductive Program Synthesis -- 6. Automatic Programming -- 7. Folding of Finite Program Terms -- 8. Transforming Plans into Finite Programs -- 9. Conclusions and Further Research -- III. Schema Abstraction -- 10. Analogical Reasoning and Generalization -- 11. Structural Similarity in Analogical Transfer -- 12. Programming by Analogy -- 13. Conclusions and Further Research.Because of its promise to support human programmers in developing correct and efficient program code and in reasoning about programs, automatic program synthesis has attracted the attention of researchers and professionals since the 1970s. This book focusses on inductive program synthesis, and especially on the induction of recursive functions; it is organized into three parts on planning, inductive program synthesis, and analogical problem solving and learning. Besides methodological issues in inductive program synthesis, emphasis is placed on its applications to control rule learning for planning. Furthermore, relations to problem solving and learning in cognitive psychology are discussed.Lecture Notes in Artificial Intelligence ;2654Artificial intelligenceComputer programmingSoftware engineeringComputer logicMathematical logicArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Science, Humanities and Social Sciences, multidisciplinaryhttps://scigraph.springernature.com/ontologies/product-market-codes/A11007Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Software Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/I14029Logics and Meanings of Programshttps://scigraph.springernature.com/ontologies/product-market-codes/I1603XMathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Artificial intelligence.Computer programming.Software engineering.Computer logic.Mathematical logic.Artificial Intelligence.Science, Humanities and Social Sciences, multidisciplinary.Programming Techniques.Software Engineering.Logics and Meanings of Programs.Mathematical Logic and Formal Languages.005.1Schmid Uteauthttp://id.loc.gov/vocabulary/relators/aut564613MiAaPQMiAaPQMiAaPQBOOK996465706503316Inductive synthesis of functional programs954769UNISA