Qualitative kinematics in mechanisms
Artificial Intelligence
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Function and behavior representation in conceptual mechanical design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Modality and representation in analogy
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A review of function modeling: Approaches and applications
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A formal ontological perspective on the behaviors and functions of technical artifacts
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Behavior of a Technical Artifact: An Ontological Perspective in Engineering
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
Parts, Compositions and Decompositions of Functions in Engineering Ontologies
Proceedings of the 2009 conference on Formal Ontologies Meet Industry
Evaluation of the functional basis using an information theoretic approach
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Discovering implicit constraints in design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
If engineering function is a family resemblance concept: Assessing three formalization strategies
Applied Ontology - The Ontology of Functions
Grounded discovery of symbols as concept-language pairs
Computer-Aided Design
B-Cube, behavioural modelling of technical artefacts
Computers in Industry
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This paper is an informal description of some recent insights about what a device function is, how it arises in response to needs, and how function arises from the structure of a device and the functions of its components. These results formalize and clarify a set of contending intuitions about function that researchers have had. The paper relates the approaches, results, and goals of this stream of research, called functional representation (FR), with the functional modeling (FM) stream in engineering. Despite the occurrence of the term function in the two streams, often the results and techniques in the two streams appear not to have much to do with each other. I argue that, in fact, the two streams are performing research that is mutually complementary. FR research provides the basic layer for device ontology in a formal framework that helps to clarify the meanings of terms such as function and structure, and also to support representation of device knowledge for automated reasoning. FM research provides another layer in device ontology, by attempting to identify behavior primitives that are applicable to subsets of devices, with the hope that functions can be described in those domains with an economy of terms. This can lead to useful catalogs of functions and devices in specific areas of engineering. With increased attention to formalization, the work in FM can provide domain-specific terms for FR research in knowledge representation and automated reasoning.