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We present key insights from two independent projects attempting to foster massive collaboration to solve complex problems. The teams designed frameworks for Massively Collaborative Problem Solving(MCPS) that encourage deep reasoning to emerge by combining small contributions from many distributed individuals. Instead of a linear approach to problem solving, in which many people are asked to perform...
In recent years, there have been increasing researches on the irrational, subjective and perceptual aspects of strategic management, indicating the influence of perceptual factors such as value, emotion and feelings on strategic decision-making. Based on a rational perspective, current mental model is divided into belief and knowledge and is regarded as a mechanism to explain human perception, decision-making...
Human being has been involved in a new information environment combining with embedded computing product and network. This combination is changing the relationships not only between human and product but also person to person. Information communication is required to be an important facet in product innovation. It is considered that the physical, cognitive and affective are the three levels of information...
New characteristics and trend of intercross of current technology, economy and social development are analyzed in this paper. The development motivation is researched and the idea of new dimensions of intercrossed innovation source is proposed; Model of Intercrossed innovation source system is set up by using of viewpoint of system analysis engineering; system structure and interaction mechanism of...
Learning theory develops in the constant process of transcendence and integration. Not only from knowledge to people, but also its theory approaches are all beyond each other and integration. Therefore, the emergence of blended e_learning is inevitable, which is based on the theoretical study??s transcendence and integration, and as a learning concepts and theories, blended e_learning is also bound...
Granular computing makes mainly use of the information of different granularities and hierarchies to solve problems of the uncertain, fuzzy, imprecise, part true and a number of information. This paper has analyzed the evolutionary characteristics of knowledge granulation and has proposed the evolution algorithm of knowledge granulation (EAKG). EAKG algorithm applies knowledge granulation to genetic...
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