Analogical Transfer of Non-Isomorphic Source Problems

2020 ◽  
pp. 631-636
Author(s):  
Ute Schmid ◽  
Joachim Wirth ◽  
Knut Polkehn
Keyword(s):  
Analogical Transfer

Fostering Diverse Analogical Transfer in Bio-Inspired Design

2015 ◽  
Author(s):  
Jacquelyn K. S. Nagel ◽  
Linda Schmidt ◽  
Werner Born
Keyword(s):  
Knowledge Transfer ◽  
Best Practices ◽  
Biological System ◽  
Engineering Students ◽  
Natural World ◽  
Physical Characteristics ◽  
Biological Information ◽  
Concept Generation ◽  
Analogical Transfer ◽  
Design Inspiration

Nature is a powerful resource for engineering designers. The natural world provides numerous cases for analogy and inspiration in engineering design. Transferring the valuable knowledge and inspiration gained from the biology domain to the engineering domain during concept generation is a somewhat disorganized process and relies heavily on the designers’ insight and background knowledge of many fields to make the necessary leaps between the domains. Furthermore, the novice designer approaching biology for inspiration tends to focus heavily on copying the visual attributes of a biological system to develop a solution that looks like the biological system rather than explore at deeper levels to uncover relationships that lead to the development of true analogies. There are now well-known methods for teaching bioinspired design in engineering and the majority of methods prescribe the use of analogies in order to facilitate knowledge transfer, however, guidance in analogy formulation to foster the creative leaps is missing or ill defined. Thus little is known about how students use biological systems for design inspiration. This paper proposes categories for analogical knowledge transfer in bio-inspired design to foster and characterize diverse analogical knowledge transfer. The proposed analogy categories are used to describe the behavior seen in an engineering class. Results indicate that (1) single biological system provides multiple analogies that result in different engineering inspiration for design; (2) biological information from multiple categories is transferred during concept generation; and (3) non-physical characteristics may inspire more sophisticated engineering inspiration than those based on physical characteristics alone. Overall, the analogy data classification has resulted in a better understanding of analogical knowledge transfer during bio-inspired design and leads to best practices for teaching bio-inspired design to engineering students.

scholarly journals Biomimicry Design Education Essentials

2019 ◽  
Vol 1 (1) ◽  
pp. 459-468 ◽  
Author(s):  
Laura Stevens ◽  
Marc M.J. De Vries ◽  
Mark M.J.W. Bos ◽  
Helen Kopnina
Keyword(s):  
Applied Sciences ◽  
Design Education ◽  
Design Thinking ◽  
Educational Programs ◽  
Essential Elements ◽  
Analogical Transfer ◽  
University Of Applied Sciences ◽  
Natural Forms ◽  
The Hague ◽  
Nature As Measure

AbstractThe emerging field of biomimicry and learning to design with and for nature has expanded in recent years through a diversity of educational programs. Inspiration following natural forms may give the appearance of being sustainable, but the question remains, how sustainable is it? Misunderstanding the function of these forms may leave designers with products not as sustainable as desired. Biomimicry education addresses these issues by integrating three essential elements into their design thinking phases and by using analogical transfer while doing so. This field learns from nature as model, nature as measure, and nature as mentor, throughout the design process. Through examination, analyses and verification of students designs and reflective processes at The Hague University of Applied Sciences, this research considers natures analogies in educational factors, determining which elements are influential when incorporating biomimicry into design education.

From double-step and colliding saccades to pointing in abstract space: Toward a basis for analogical transfer

1997 ◽  
Vol 20 (4) ◽  
pp. 745-745 ◽  
Author(s):  
Peter F. Dominey
Keyword(s):  
Nervous System ◽  
Information Processing ◽  
Abstract Space ◽  
Analogical Transfer ◽  
Double Step ◽  
Abstract Spaces

Deictic pointers allow the nervous system to exploit information in a frame that is centered on the object of interest. This processing may take place in visual or haptic space, but the information processing advantages of deictic pointing can also be applied in abstract spaces, providing the basis for analogical transfer. Simulation and behavioral results illustrating this progression from embodiment to abstraction are discussed.

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