Logic programming is a programming paradigm which is largely based on formal logic.
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18 Facts About Rule-based programming
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Any program written in a logic Rule-based programming language is a set of sentences in logical form, expressing facts and rules about some problem domain.
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An important concept in logic Rule-based programming is the separation of programs into their logic component and their control component.
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The inclusion of negation as failure means that logic Rule-based programming is a kind of non-monotonic logic.
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In particular, Prakken and Sartor credit the representation of the British Nationality Act as a logic program with being "hugely influential for the development of computational representations of legislation, showing how logic Rule-based programming enables intuitively appealing representations that can be directly deployed to generate automatic inferences".
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Abductive logic Rule-based programming is an extension of normal Logic Programming that allows some predicates, declared as abducible predicates, to be "open" or undefined.
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Abductive logic Rule-based programming has been used for fault diagnosis, planning, natural language processing and machine learning.
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Metalogic Rule-based programming allows object-level and metalevel representations to be combined, as in natural language.
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Metalogic is used in logic Rule-based programming to implement metaprograms, which manipulate other programs, databases, knowledge bases or axiomatic theories as data.
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Constraint logic Rule-based programming combines Horn clause logic Rule-based programming with constraint solving.
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Constraint logic Rule-based programming has been used to solve problems in such fields as civil engineering, mechanical engineering, digital circuit verification, automated timetabling, air traffic control, and finance.
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Arguably, concurrent logic Rule-based programming is based on message passing, so it is subject to the same indeterminacy as other concurrent message-passing systems, such as Actors.
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Carl Hewitt has argued that concurrent logic Rule-based programming is not based on logic in his sense that computational steps cannot be logically deduced.
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However, in concurrent logic Rule-based programming, any result of a terminating computation is a logical consequence of the program, and any partial result of a partial computation is a logical consequence of the program and the residual goal.
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Inductive logic Rule-based programming is concerned with generalizing positive and negative examples in the context of background knowledge: machine learning of logic programs.
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Recent work in this area, combining logic Rule-based programming, learning and probability, has given rise to the new field of statistical relational learning and probabilistic inductive logic Rule-based programming.
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18.
Some early designs of logic Rule-based programming languages based on linear logic include LO, Lolli, ACL, and Forum.
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