Learning answer set programs with aggregates via sampling and genetic programming

The goal of inductive logic programming is to learn a logic program that models the examples provided as input. The search space of the possible programs is constrained by a language bias, which defines the atoms and literals allowed in rules. Answer set programming is a powerful formalism to repres...

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Vydáno v:	Machine learning Ročník 114; číslo 7; s. 148
Hlavní autor:	Azzolini, Damiano
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.07.2025 Springer Nature B.V
Témata:	Aggregates Artificial Intelligence Bias Combinatorial analysis Computer Science Control Declarative programming Genetic algorithms Language Logic programming Logic programs Machine Learning Mathematical programming Mechatronics Natural Language Processing (NLP) Robotics Simulation and Modeling Variables Inductive logic programming Answer set programming Genetic programming
ISSN:	0885-6125, 1573-0565
On-line přístup:	Získat plný text
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