IJBTT

Scalable multiple representation and dynamic classification by multiple specialization of objects in OO-Prolog
	© 2020 by IJCTT Journal
	Volume-68 Issue-11
	Year of Publication : 2020
	Authors : Macaire Ngomo
	DOI :  10.14445/22312803/IJCTT-V68I11P104

How to Cite?

Macaire Ngomo, "Scalable multiple representation and dynamic classification by multiple specialization of objects in OO-Prolog," International Journal of Computer Trends and Technology, vol. 68, no. 11, pp. 24-42, 2020. Crossref, 10.14445/22312803/IJCTT-V68I11P104

Abstract
This study takes place within the framework of the representation of knowledge by objects and within the framework of our work on the marriage of logic and objects. On the one hand, object-oriented programming has proved to be appropriate for constructing complex software systems. On the other hand, logic programming is distinguished by its declarative nature, integrated inference, and well-defined semantic capabilities. In particular, inheritance is a refinement mechanism whose mode of application leaves several design choices. In the context of this marriage, we describe the semantics of multiple inheritances in a non-deterministic approach, the conceptual choices of integration of multiple inheritances made for the design of the OO-Prolog language (an object-oriented extension of the Prolog language respecting logical semantics) as well as its application to multiple evolutionary representations that support classificatory reasoning and to dynamic classification by multiple specifications of logical objects.

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Keywords
Object-oriented logic programming, object-oriented representation, multiple inheritances, multi-point of view, classificatory reasoning.