The progressing automation of maritime transport, including the introduction of autonomous and/or unmanned ships, calls for the development of communication principles, particularly conversations currently carried out verbally. The work in this field is intended to improve the safety of maritime transport. This article describes research on automatic communication in the form that will support navigators responsible for ship conduct. The processes of inference and conversation management are described. The developed methods are based on standard marine communication phrases. The presented example conversation between navigators is supported by an automatic communication system. The work herein described aims at the creation of procedures for communication at sea between autonomous ships.
The aim of the study was to describe the functionality of the kbExplorator system which allows to create and use of rule-based knowledge bases with an inference algorithms. Three available tools: Jess, Drools and PC-Shell were characterized and compared to the kbExplorator co-created by the author. Apart from formal definition, an example of the knowledge base with rules partition was shown, and application process implemented for such a knowledge base was discussed.
PL
Celem artykułu jest przedstawienie funkcjonalności systemu kbExplorator na tle dostępnych narzędzi, pozwalających na tworzenie i edycję regułowych baz wiedzy wraz z algorytmami wnioskowania. Scharakteryzowano, a następnie Porównano trzy z dostępnych narzędzi: Jess, Drools oraz PC-Shell, a także opisano podstawowe cechy współtworzonego przez autorkę narzędzia kbExplorator. Prócz formalnych definicji przedstawiono także przykład regułowej bazy wiedzy z podziałami reguł i omówiono proces wnioskowania realizowany dla takiej bazy wiedzy.
The paper presents skeleton rule-based expert system of a new generation, named EXPERT 3.0, worked out and programmed by the Author. Notion of a new generation refers here to implementation of a knowledge base of the system in a form of a computer database; previous skeleton expert systems implemented knowledge bases as text files. At first, a theory of expert systems, as one of the branches of Artificial Intelligence, is briefly presented. Then the Author’s original algorithms of the system are described in the paper. Using the EXPERT 3.0 system, execution of the inference processes: forward, backwards or mixed, as well as of falsification of the main hypothesis, is possible. The EXPERT 3.0 system may be loaded with any number of parallel knowledge bases from such domains as technical, medical or financial diagnostics, as well as providing equipment, forecast and many other systems; in the paper, the inference process is illustrated by an example of the diagnostics of the damage to a MKM33 coal mill, working in a 200 MW power unit. Finally, conclusions and recommendations are formulated in the paper.
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