Case-based reasoning: a research paradigm
AI Magazine
Analogical reasoning for knowledge discovery in a molecular biology database
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Developing Case-Based Reasoning for Structural Design
IEEE Expert: Intelligent Systems and Their Applications
Design, Analogy, and Creativity
IEEE Expert: Intelligent Systems and Their Applications
An Analogical Theory of Creativity in Design
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Design Simplification by Analogical Reasoning
Proceedings of the IFIP TC5 WG5.2 Fourth Workshop on Knowledge Intensive CAD to Knowledge Intensive Engineering
A functional representation for aiding biomimetic and artificial inspiration of new ideas
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Case‐Based Reasoning: an overview
AI Communications
Biomimetic design through natural language analysis to facilitate cross-domain information retrieval
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 process model of cased-based reasoning in problem solving
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
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The natural world provides numerous cases for inspiration in engineering design. Biological organisms, phenomena, and strategies, which we refer to as biological systems, provide a rich set of analogies. These systems provide insight into sustainable and adaptable design and offer engineers billions of years of valuable experience, which can be used to inspire engineering innovation. This research presents a general method for functionally representing biological systems through systematic design techniques, leading to the conceptualization of biologically inspired engineering designs. Functional representation and abstraction techniques are used to translate biological systems into an engineering context. The goal is to make the biological information accessible to engineering designers who possess varying levels of biological knowledge but have a common understanding of engineering design. Creative or novel engineering designs may then be discovered through connections made between biology and engineering. To assist with making connections between the two domains concept generation techniques that use biological information, engineering knowledge, and automatic concept generation software are employed. Two concept generation approaches are presented that use a biological model to discover corresponding engineering components that mimic the biological system and use a repository of engineering and biological information to discover which biological components inspire functional solutions to fulfill engineering requirements. Discussion includes general guidelines for modeling biological systems at varying levels of fidelity, advantages, limitations, and applications of this research. The modeling methodology and the first approach for concept generation are illustrated by a continuous example of lichen.