Abstract
Prolog is an expressive programming language based on a subset of First Order Logic, and has has been widely used in Artificial Intelligence Research. Examples include Machine Learning, say, for implementing Inductive Logic Programming, and Natural Language Processing, where applications range from the well-known work in Definite Clause Grammars to automata-based parsing. In this talk, we discuss how Prolog implementations matter in achieving AI application performance and scalability, and present some solutions that are currently being researched for Prolog systems. Throughout we draw from our own experience in supporting a Prolog system, and in designing ILP applications.
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© 2003 Springer-Verlag Berlin Heidelberg
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Costa, V.S. (2003). Performance Issues in Prolog Applications. In: Pires, F.M., Abreu, S. (eds) Progress in Artificial Intelligence. EPIA 2003. Lecture Notes in Computer Science(), vol 2902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24580-3_8
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DOI: https://doi.org/10.1007/978-3-540-24580-3_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20589-0
Online ISBN: 978-3-540-24580-3
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