{"product_id":"inductive-logic-programming-from-machine-learning-to-software-engineering-logic-programming-9780262023931","title":"Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)","description":"\u003cp\u003eAlthough Inductive Logic Programming (ILP) is generally thought of as a research areaat the intersection of machine learning and computational logic  Bergadano and Gunetti propose thatmost of the research in ILP has in fact come from machine learning  particularly in the evolution ofinductive reasoning from pattern recognition  through initial approaches to symbolic machinelearning  to recent techniques for learning relational concepts. In this book they provide anextended  up-to-date survey of ILP  emphasizing methods and systems suitable for softwareengineering applications  including inductive program development  testing  andmaintenance.Inductive Logic Programming includes a definition of the basic ILP problem and itsvariations (incremental  with queries  for multiple predicates and predicate inventioncapabilities)  a description of bottom-up operators and techniques (such as least generalgeneralization  inverse resolution  and inverse implication)  an analysis of top-down methods(mainly MIS and FOIL-like systems)  and a survey of methods and languages for specifying inductivebias.Logic Programming series\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":67924184825909,"sku":"ByrdShop_0262023938","price":345.84,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9780262023931.jpg?v=1794130285","url":"https:\/\/atxbooks.com\/products\/inductive-logic-programming-from-machine-learning-to-software-engineering-logic-programming-9780262023931","provider":"ATX Books","version":"1.0","type":"link"}