Examples of using Knowledge representation in English and their translations into Slovak
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Colloquial
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Medicine
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Ecclesiastic
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Official/political
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Computer
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Programming
Knowledge Representation and Reasoning a. k. a.
CNL semantics and knowledge representation.
Knowledge representation and reasoning for robotic applications.
Semiotic systems and knowledge representation.
Knowledge representation, boundary and search solutions, robotics, distributed processes, neural networks or natural language processing.
Lexical semantics and knowledge representation.
Ontology knowledge representation for supporting agents' coordination and agents' coalition creation in large scale multi-agent systems has been researched as well.
Object-oriented Knowledge representations.
Logic-based theory of knowledge representation, non-monotonic reasoning, logic programming(especially answer set programming), description logics, ontologies, semantic web.
This is often used as a form of knowledge representation.
There are a variety of knowledge representations that can be applied in business process knowledge systems.
Business rules systems, fuzzy rules,and decision trees are all possible knowledge representations for business process knowledge. .
The traditional approach(crisp logic) of knowledge representation does not provide an appropriate way to interpret the imprecise and non-categorical data.
This course covers topics from mathematical logic, logic programming, nonmon otonic reasoning, theoretical foundations of knowledge-based systems, formal models of knowledge representation, semantic specification of a knowledge representation language and of a consequence relation.
Reasoning: logic and agents, knowledge representation, inference mechanisms.
He has made major contributions in the domains of symbolic graphical description,computational geometry, knowledge representation, computational semantics, machine perception, symbolic and connectionist learning.
It also comprises an ontology intended for knowledge representation in the semantic web, available in the RDF format.
Cognitive science is concerned with a study of human cognition- the processesof perception, cognition, thinking, knowledge representation, learning, decision-making, and how these processes are implemented in the brain.
Semantic networks are a knowledge representation technique.
The main aim of the project is to analyse DES from such a point of view(i.e. the kind of the system, area and way of of their application, expected effect, etc.), to find suitable analytical models,suitable methods of knowledge representation, suitable menthods of applied artificial intelligence and to utilized them effectively in the process of the synthesis of the knowledge-based and intelligent control systems.
In"A Framework for Representing Knowledge"(1974)he put forth a model of knowledge representation to account for many phenomena in cognition, language understanding, and visual perception.
Representation, Knowledge, Reasoning.
Significant contribution from lichenological viewpoint will be to solve relevant taxonomic problems,which will refine hitherto knowledge on representation of particular species in Slovakia.