The ability to lazily manipulate long or infinite streams of data is an essential feature in the era of data-driven artificial intelligence. Yet, logic programming technologies currently fall short when it comes to handling long or infinite streams of data. In this paper, we discuss how Prolog can be reinterpreted as a stream processing tool, and re-designed around an abstract state-machine capable of lazily manipulating streams of data via backtracking.
Giovanni Ciatto, R.C. (2021). Lazy Stream Manipulation in Prolog via Backtracking: The Case of 2P-Kt. Cham : Springer Nature [10.1007/978-3-030-75775-5_27].
Lazy Stream Manipulation in Prolog via Backtracking: The Case of 2P-Kt
Giovanni Ciatto
;Roberta Calegari;Andrea Omicini
2021
Abstract
The ability to lazily manipulate long or infinite streams of data is an essential feature in the era of data-driven artificial intelligence. Yet, logic programming technologies currently fall short when it comes to handling long or infinite streams of data. In this paper, we discuss how Prolog can be reinterpreted as a stream processing tool, and re-designed around an abstract state-machine capable of lazily manipulating streams of data via backtracking.File in questo prodotto:
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