Artificial intelligence and Inductive logic programming

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Artificial intelligence and Inductive logic programming

Artificial intelligence vs. Inductive logic programming

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. Inductive logic programming (ILP) is a subfield of machine learning which uses logic programming as a uniform representation for examples, background knowledge and hypotheses.

Similarities between Artificial intelligence and Inductive logic programming

Artificial intelligence and Inductive logic programming have 7 things in common (in Unionpedia): Commonsense reasoning, Horn clause, Kolmogorov complexity, Logic programming, Logical consequence, Machine learning, Natural language processing.

Commonsense reasoning

Commonsense reasoning is one of the branches of artificial intelligence (AI) that is concerned with simulating the human ability to make presumptions about the type and essence of ordinary situations they encounter every day.

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Horn clause

In mathematical logic and logic programming, a Horn clause is a logical formula of a particular rule-like form which gives it useful properties for use in logic programming, formal specification, and model theory.

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Kolmogorov complexity

In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of the shortest computer program (in a predetermined programming language) that produces the object as output.

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Logic programming

Logic programming is a type of programming paradigm which is largely based on formal logic.

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Logical consequence

Logical consequence (also entailment) is a fundamental concept in logic, which describes the relationship between statements that hold true when one statement logically follows from one or more statements.

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Machine learning

Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

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Natural language processing

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

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The list above answers the following questions

What Artificial intelligence and Inductive logic programming have in common
What are the similarities between Artificial intelligence and Inductive logic programming

Artificial intelligence and Inductive logic programming Comparison

Artificial intelligence has 543 relations, while Inductive logic programming has 29. As they have in common 7, the Jaccard index is 1.22% = 7 / (543 + 29).

References

This article shows the relationship between Artificial intelligence and Inductive logic programming. To access each article from which the information was extracted, please visit:

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