A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Device Representation-The Significance of Functional Knowledge
IEEE Expert: Intelligent Systems and Their Applications
Device Understanding and Modeling for Diagnosis
IEEE Expert: Intelligent Systems and Their Applications
Explanations in Knowledge Systems: Design for Explainable Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
Functional Representation and Reasoning About the F/A-18 Aircraft Fuel System
IEEE Expert: Intelligent Systems and Their Applications
Expert Systems Research in Japan
IEEE Expert: Intelligent Systems and Their Applications
Construction and Deployment of a Plant Ontology
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Ontological Engineering: Foundation of the Next Generation Knowledge Processing
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Automatic generation of explanations: AGE
Engineering Applications of Artificial Intelligence
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Building a project ontology with extreme collaboration and virtual design and construction
Advanced Engineering Informatics
Use of design patterns in analogy-based design
Advanced Engineering Informatics
Deployment of an ontological framework of functional design knowledge
Advanced Engineering Informatics
Parts, Compositions and Decompositions of Functions in Engineering Ontologies
Proceedings of the 2009 conference on Formal Ontologies Meet Industry
Functional understanding based on an ontology of functional concepts
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Two types of hierarchies in geospatial ontologies
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Characterizing Functions based on Ontological Models from an Engineering Point of View
Proceedings of the 2010 conference on Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010)
If engineering function is a family resemblance concept: Assessing three formalization strategies
Applied Ontology - The Ontology of Functions
Social network and spatial semantics for real-world information service
MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
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This paper proposes FBRL, a language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.