To date, logic-based technologies are either built on top or as extensions of the Prolog language, mostly working as monolithic solutions tailored upon specific inference procedures, unification mechanisms, or knowledge representation techniques. Instead, to maximise their impact, logic-based technologies should support and enable the general-purpose exploitation of all the manifold contributions from logic programming. Accordingly, we present 2P-Kt, a reboot of the tuProlog project offering a general, extensible, and interoperable ecosystem for logic programming and symbolic AI.
Giovanni Ciatto, R.C. (2021). 2P-Kt: A Logic-Based Ecosystem for Symbolic AI. SOFTWAREX, 16, 1-7 [10.1016/j.softx.2021.100817].
2P-Kt: A Logic-Based Ecosystem for Symbolic AI
Giovanni Ciatto
;Roberta Calegari;Andrea Omicini
2021
Abstract
To date, logic-based technologies are either built on top or as extensions of the Prolog language, mostly working as monolithic solutions tailored upon specific inference procedures, unification mechanisms, or knowledge representation techniques. Instead, to maximise their impact, logic-based technologies should support and enable the general-purpose exploitation of all the manifold contributions from logic programming. Accordingly, we present 2P-Kt, a reboot of the tuProlog project offering a general, extensible, and interoperable ecosystem for logic programming and symbolic AI.File | Dimensione | Formato | |
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