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The proposed APCS comprises three cohesively interacting modules, namely, knowledge elicitation module using laddering technique; knowledge representation module using design knowledge hierarchy (DKH); and knowledge synthesis module using restricted Coulomb energy (RCE) neural network.

The results of the scenarios are also assessed within the framework of "radical technological change" in order to show which future scenario assumes more radical change within five dimensions of technology; technique, knowledge, organization, product, and profit.

Nothing is more natural for modern philosophers than to contrast knowledge of objects (knowledge by acquaintance or objectual knowledge; French connaître) with knowledge of how to do things (technique knowledge), and with knowledge of propositions or facts (propositional knowledge; French savoir).

Based on this method, employing a template parametric technique, knowledge including design methods, rules, and expert experience in the process of modeling is encapsulated and a finite element model is established automatically, which greatly improves the speed, accuracy, and standardization degree of modeling.

According to this theory, the choices made by the actors include not only the technique but all four components in the socio-technological technology concept: technique, knowledge, organization and product.

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Among the reported computer-aided techniques, knowledge based approaches suffer from acquisition of appropriate heuristics whereas mixed integer nonlinear programming formulations are not trivial to generate.

Since the sensory characteristics of olive oil and extra-virgin olive oil are greatly affected by cultivars and agronomic techniques, knowledge of origin gives the consumer assurances concerning product taste characteristics.

Without their skilled hunting techniques, knowledge of the territory and advanced tools such as snowshoes, toboggans and birch-bark canoes, the fur trade would not have existed.

Training included communication, adult learning techniques, knowledge of messages specific to the intervention, and utilization of interactive tools to deliver the intervention.

Both ClBR and EbCA-DEA may be regarded as hybrid or mixed qualitative-quantitative techniques (knowledge management, knowledge engineering and data analysis) which combine classical data analysis techniques and AI methods that permit prior knowledge processing [ 30].

In the age of genomics and advanced molecular techniques, knowledge of these relationships and patterns has proven useful in uncovering the developmental and genetic mechanisms responsible for morphological diversity [e.g., [ 3- 9]].

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