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Programming --- Computer. Automation --- programmeren (informatica) --- programmeertalen --- software engineering

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Inductive programming is concerned with the automated construction of decl- ative-often functional -recursiveprogramsfromincompletespeci?cationssuch as input/output examples. The inferred program must be correct with respect to the provided examples in a generalizing sense: it should be neither equivalent to it, nor inconsistent. Inductive programming algorithms are guided explicitly or implicitly by a language bias (the class of programs that can be induced) and a search bias (determining which generalized program is constructed ?rst). Induction strategiesare either generate-and-testor example-driven.In genera- and-test approaches, hypotheses about candidate programs are generated in- pendently from the given speci?cations. Program candidates are tested against the given speci?cation and one or more of the best evaluated candidates are - veloped further. In analytical approaches, candidate programs are constructed in an example-driven way. While generate-and-test approaches can - in prin- ple - construct any kind of program, analytical approaches have a more limited scope. On the other hand, e?ciency of induction is much higher in analytical approaches. Inductive programming is still mainly a topic of basic research, exploring how the intellectual ability of humans to infer generalized recursive procedures from incomplete evidence can be captured in the form of synthesis methods. Intended applications are mainly in the domain of programming assistance - either to relieve professional programmers from routine tasks or to enable n- programmers to some limited form of end-user programming. Furthermore, in future,inductiveprogrammingtechniquesmightbe appliedtofurtherareassuch as support inference of lemmata in theorem proving or learning grammar rules.

Mathematical logic --- Logic --- Computer science --- Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- applicatiebeheer --- apps --- computers --- programmeren (informatica) --- informatiesystemen --- wiskunde --- software engineering --- KI (kunstmatige intelligentie) --- logica --- architectuur (informatica)

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This tutorial book presents seven carefully revised lectures given at the 6th International School on Functional Programming, AFP 2008, in Heijen, The Netherlands in May 2008. The book presents the following seven, carefully cross-reviewed chapters, written by leading authorities in the field: Self-adjusting: Computation with Delta ML, spider spinning for dummies, from reduction-based to reduction-free normalization, libraries for generic programming in Haskell, dependently typed programming in agda, parallel and concurrent programming in Haskell and an iTask case study: a conference management system.

Mathematical logic --- Complex analysis --- Computer science --- Programming --- Computer. Automation --- toegepaste informatica --- complexe analyse (wiskunde) --- programmeren (informatica) --- programmeertalen --- wiskunde --- software engineering --- logica

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This volume presents the revised lecture notes of selected talks given at the Third Central European Functional Programming School, CEFP 2009, held in May 2009 in Komárno, Slovakia. It was co-organized with the TFP 2009 conference. The summer school included a three days warm-up session organized in Budapest, Hungary also in May, 2009. The 11 revised full papers presented were carefully reviewed and selected. The lectures cover a wide range of topics such as design patterns, semantics, types, and advanced programming in various functional programming languages.

Mathematical logic --- Logic --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- computers --- programmeren (informatica) --- programmeertalen --- wiskunde --- software engineering --- logica --- computernetwerken