Essential systems analysis
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
Artificial Intelligence
Generating and generalizing models of visual objects
Artificial Intelligence
Explanation-based learning: a survey of programs and perspectives
ACM Computing Surveys (CSUR)
Qualitative kinematics in mechanisms
Artificial Intelligence
System concepts and the design of man-machine interfaces for supervisory control
Tasks, errors, and mental models
Design problem solving: a task analysis
AI Magazine
Object-oriented software engineering
Object-oriented software engineering
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Software for use: a practical guide to the models and methods of usage-centered design
Software for use: a practical guide to the models and methods of usage-centered design
Writing Effective Use Cases
Functional Reasoning and Functional Modelling
IEEE Expert: Intelligent Systems and Their Applications
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
Evaluating Design Using Knowledge of Purpose and Knowledge of Structure
IEEE Expert: Intelligent Systems and Their Applications
Deriving and Using Descriptions of Purpose
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
Functional Reasoning in Design
IEEE Expert: Intelligent Systems and Their Applications
Software Requirements
Function and behavior representation in conceptual mechanical design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Causal reasoning using geometric analysis
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A review of function modeling: Approaches and applications
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Organizing and managing personal electronic files: A mechanical engineer's perspective
ACM Transactions on Information Systems (TOIS)
Parts, Compositions and Decompositions of Functions in Engineering Ontologies
Proceedings of the 2009 conference on Formal Ontologies Meet Industry
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Functional reasoning (FR) enables people to derive and explain function of artifacts in a goal-oriented manner. FR has been studied and employed in various disciplines, including philosophy, biology, sociology, and engineering design, and enhanced by the techniques borrowed from computer science and artificial intelligence. The outcome of FR research has been applied to engineering design, planning, explanation, and learning. A typical FR system in engineering design usually incorporates representational mechanisms of function concept together with description mechanisms of state, structure, or behavior, and explanations and reasoning mechanisms to derive and explain functions. As for representation, philosophers have long argued whether function of an artifact is a genuine property of it. As for explanation and reasoning, they have produced theories for functional ascription by an external viewer as part of an explanation. To build an FR-based system, the theory based on which the system is built and the underlying assumptions must be explicitly identified. This point is not always clear in the engineering of FR-based systems. Understanding the underlying assumptions, logical formulation, and limitations of FR theories will help developers assessing their systems correctly. The purpose of this paper is to review various FR theories and their underlying assumptions and limitations. This later serves as a benchmark for comparing various FR techniques.