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Design Computing and Cognition '12 by John S. Gero

By John S. Gero

Design considering, the label given to the acts of designing, has turn into a paradigmatic view that has transcended the self-discipline of layout and is now common in company and in other places. subsequently there's an expanding curiosity in layout study. the reason for this is that of the conclusion that layout is a part of the wealth construction of a kingdom and desires to be greater understood and taught. the ongoing globalization of and exchange has required countries to think again the place their middle contributions lie if no longer in creation potency. layout is a precursor to production for actual items and is the precursor to implementation for digital items. whilst, the necessity for sustainable improvement calls for the layout of latest items and tactics, which feeds a move in the direction of layout concepts and inventions.

The papers during this quantity are from theFifth foreign convention on layout Computing and Cognition (DCC’12) held at Texas A & M college, united states. They characterize the state of the art of analysis and improvement in layout computing and layout cognition. they're of specific curiosity to researchers, builders and clients of complex computation in layout and people who have to achieve a greater realizing of designing.

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Abstracting and transferring knowledge from one concept to another allows designers to develop novel design concepts. g. Goel [1] agree that analogical reasoning plays a key role in creative design. In biomimetic or biologically inspired design, designers use analogical reasoning to compare similarities between biological phenomena and design problems, and then transfer analogous strategies to develop design solutions. Shu et al. [2] observed that although several innovative solutions to engineering problems have been inspired by biological phenomena, challenges still exist in developing generalized methodologies for biomimetic design.

Cheong and Shu [5] observed that text descriptions of biological phenomena containing causal relations are more likely to serve as useful analogies for design problems. Causal relations often explain how functions are achieved by behaviors. For example, ‘‘break down’’ enables ‘‘absorb’’ in the description ‘‘Humans absorb amino acids by breaking down proteins from food’’. Cheong et al. [6] developed a template to help designers extract strategies from causal relations contained in descriptions of biological phenomena.

For example if both a biological and a non-biological solution were mentioned with respect to a particular function, such as reflect light, we would get two tallies for that concept. Likewise multiple solutions in the same category could reference the same concept, for example two separate manmade solutions may have mentioned light reflection. Table 4 shows the number of function concepts in the problem statement that referenced an existing manmade solution, a biological solution or had no reference to any existing solution.

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