THE NEW (SECOND) BIRTH OF THE “PROLOG” LANGUAGE IN THE CONTEXT OF DECISION SUPPORT SYSTEMS
DOI:
https://doi.org/10.32689/maup.it.2022.1.2Keywords:
artificial intelligence, “Prolog”, decision support system, deductive, inductive, hybrid machine learningAbstract
Abstract. Artificial intelligence and machine learning have a significant share in modern information technologies and provide a wide range of tools: from expert systems to neural networks. Their implementation requires a specific environment and appropriate software. One of the programming languages suitable for this is the Prologue language. At the same time, there are serious risks of errors when using this software. Differentiation of management tasks in such complex socio – organizational and technical systems as artificial intelligence is discussed. The article provides a comprehensive analysis and understanding of the meaning of the Prologue language in the decision support system (DSS) and establishes its place in this agglomeration. In this regard, the need to create a new generation of DSS is justified. In the context of this goal, the prospects of using DSS for strategic decision-making in deductive learning in comparison with inductive learning are shown. It is proved that DSS is becoming such a strategic technology. It uses deductive learning, which, when using the Prologue language in the process of forming artificial intelligence systems, creates maximum transparency and gives validity in decision-making. Attention is focused on why the Prologue language should become a promising language for AI/ML systems. The concept of hybrid DSS is also proposed, combining the advantages of both systems. Such a system allows you to make decisions at different levels, benefiting from systems with inductive learning at the tactical level and deductive systems at the strategic level of decision-making.
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