Приклади вживання Expert systems Англійська мовою та їх переклад на Українською
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This is how expert systems work.
Expert systems are used in cases where.
Distinguishing agents from expert systems.
Creation and using of expert systems for business processes analyzing and managing;
Discuss how knowledge can be represented in expert systems.
The most important things we learn from expert systems is that extensive knowledge helps solve problems.
They do Prolog-based rule systems, in other words, expert systems.
Their book showed how Artificial Intelligence and Expert Systems technologies were relevant to developing DSS.
The first knowledge-based systems were rule based expert systems.
Available expert systems in the form of modern chess computer programs enhance reliability of such researches.
As a result,client server had a tremendous impact on the expert systems market.
The language has been used for theorem proving, expert systems, as well as its original intended field of use, natural language processing.
CLIPS incorporates a complete object-oriented language COOL for writing expert systems.
Expert systems(ES) and other knowledge management systems(KMS) also forged a new role for information systems. .
CLIPS incorporates an object-oriented programming language called COOL to write expert systems.
Modern bots usingartificial intelligence algorithms are similar to expert systems, allowing to find the best possible solution of a certain task.
At the moment JSC”information technologies” product family supports NAU-information retrieval and expert systems in law.
Until then, the main development environment for expert systems had been high end Lisp machines from Xerox, Symbolics, and Texas Instruments.
Expert systems were already outliers in much of the business world, requiring new skills that many IT departments did not have and were not eager to develop.
Up until that point the primary development environment for expert systems had been high end Lisp machines from Xerox, Symbolics and Texas Instruments.
During operation of the department have been developed andimplemented test system for testing student, expert systems based on computer class.
Advances in AI, machine learning and expert systems technology have largely not been applied to the process of specifying and building software.
The first QA systems were developed in the 1960s andthey were basically natural-language interfaces to expert systems that were tailored to specific domains.
Expert systems were introduced by the Stanford Heuristic Programming Project led by Feigenbaum, who is sometimes referred to as the"father of expert systems".
Key words: toxins, receptor antagonists, transmembrane electric currents,biological expert systems, electronic informational systems, bioinformatics.
Expert systems are designed to handle non-numeric and vague information to solve tasks that are not solvable by traditional algorithmic procedures.
Create local and network databases, and knowledge, web systems, websites,intelligent software systems, expert systems and decision support systems;
Scientific-pedagogical justification automated, modeling, expert systems, semantic and artificial neural networks and knowledge bases, creation and implementation in educational practice.
Students learn about issues related to modern computer decision supporting and forecasting tools,with particular emphasis on the artificial intelligence and expert systems tools.
The formalization of the language of law makes it possible to model and analyze some legal norms with the help of such a newclass of automated legal information systems as expert systems.