Knowledge representation with KnowLang: the marXbot Case Study
conference contribution
posted on 2012-12-04, 14:32 authored by Emil Vassev, Mike HincheyIntelligent systems are capable of AI exhibited via knowledge representation and reasoning, which helps to connect abstract knowledge symbols to real-world meanings. This paper presents a formal language for knowledge representation called KnowLang. The language implies a multi-tier specification model emphasizing knowledge corpuses, knowledge base operators and inference primitives. The approach allows for efficient and comprehensive knowledge structuring where ontologies are integrated with rules and Bayesian networks. The paper presents the KnowLang specification constructs formally along with a case study based on a mobile robotics platform.
Funding
Study on Aerodynamic Characteristics Control of Slender Body Using Active Flow Control Technique
Japan Society for the Promotion of Science
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Proceedings of the 11th IEEE International Conference on Cybernetic Intelligent Systems;Publisher
IEEE Computer SocietyNote
peer-reviewedOther Funding information
ERC, SFIRights
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