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What is inductive logic programming?

Inductive Logic Programming (ILP) is a rule-based learning method that seeks underlying patterns in data by deriving a set of if-then logic rules. These rules describe positive instances but not negative instances, and they are usually constrained to be Horn clauses.

What is the theory of inductive logic?

An inductive logic refers to a system of inference that describes the relation between propositions on data and propositions that extend beyond the data.

What is inductive logic in simple terms?

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. Its usually contrasted with deductive reasoning, where you go from general information to specific conclusions. Inductive reasoning is also called inductive logic or bottom-up reasoning.

What is inductive logic programming in answer set programming?

The goal of Inductive Logic Programming (ILP) is to learn a program that explains a set of examples in the context of some pre- existing background knowledge. Until recently, most research on ILP tar- geted learning Prolog programs.

Who came up with inductive logic?

From 1942 until his death in 1970, Carnap devoted the bulk of his time and energy to the development of a new form of inductive logic.

What is the ILP programming language?

Inductive logic programming (ILP) is a subfield of symbolic artificial intelligence which uses logic programming as a uniform representation for examples, background knowledge and hypotheses.

Which among the following perfectly defines inductive logic programming?

Inductive Logic Programming (ILP) has been defined [81] as the intersection of inductive learning and logic programming. Thus, ILPemploys techniques from both machine learning and logic programming.

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