Scheme of Interactive Evoking and Evolution of Creative Ideas Based on Interactive Evolutionary Computation

2011 ◽  
Vol 48-49 ◽  
pp. 1006-1009
Author(s):  
Guo Sheng Hao ◽  
Xiang Jun Zhao ◽  
Jia Wei Wu ◽  
Yong Qing Huang
Keyword(s):  
Evolutionary Computation ◽  
Interactive Evolutionary Computation ◽  
New Ideas ◽  
The Creation

Creative ideas are important not only for an enterprise but also for a country. The scheme for computer to produce creative ideas is given. There are two parts in the scheme. The first part is for computer to realize the creation skills, which will bring thousands or millions of candidate ideas. The second part is to optimize the candidate ideas with interactive evolutionary computation (IEC). When the sentences that IEC optimized are submitted to the user, his/her thought would be invoked, and new ideas would come to his/her brain. This scheme supports a new way for computer to help user produce creative ideas.

The Efficiency of Interactive Differential Evolution in Creation of Sound Contents

2013 ◽  
Vol 1 (2) ◽  
pp. 16-27 ◽  
Author(s):  
Makoto Fukumoto ◽  
Ryota Yamamoto ◽  
Shintaro Ogawa
Keyword(s):  
Genetic Algorithm ◽  
Differential Evolution ◽  
Evolutionary Algorithm ◽  
Evolutionary Computation ◽  
Warning Sign ◽  
Interactive Evolutionary Computation ◽  
Interactive Genetic Algorithm ◽  
Fitness Value ◽  
The Creation ◽  
The Difference

Interactive Evolutionary Computation (IEC) is known as an effective method to create media contents suited to user’s preference and objectives. As one of the methods, we have applied Differential Evolution (DE) as evolutionary algorithm in IEC. This study investigated the efficacy of Interactive Differential Evolution (IDE) in comparison with Interactive Genetic Algorithm (IGA). Two listening experiments were conducted to investigate the efficacy: experiment 1 as a creating experiment with IDE and IGA, experiment 2 as a re-evaluating experiment. Target of the creation was warning sign sounds. Eighteen subjects participated in both of the experiments. The result of the experiment 1 showed that IDE overcame IGA, and significant increase of fitness was only observed in IDE. The result of the experiment 2, higher fitness value was observed in IDE, however, the difference between the two conditions was not significant. Parts of the results showed a possibility of IDE to create media contents.

Users' Fuzzy Cognition Knowledge Learning in Interactive Evolutionary Computation and its Application

2011 ◽  
Vol 204-210 ◽  
pp. 245-250
Author(s):  
Guo Sheng Hao ◽  
Xiang Jun Zhao ◽  
Yong Qing Huang
Keyword(s):  
Evolutionary Computation ◽  
Search Space ◽  
Interactive Evolutionary Computation ◽  
Sense Unit ◽  
Knowledge Learning

user in interactive evolutionary computation (IEC) has the characteristic of fuzzy cognition. Based on this, a method to learn users’ fuzzy cognition knowledge is given. The method includes the fuzzy expression of the basic elements of IEC such as search space, population, gene sense unit and so on. Then a method to increase the performance of IEC based on the knowledge of users’ fuzzy cognition is given. The above results enrich the researches of IEC users' cognition.

scholarly journals Embracing the Modern: Edna Cress Staebler at the University of Toronto, 1926-1929

2008 ◽  
pp. 69-88
Author(s):  
Alyson E. King
Keyword(s):  
National Identity ◽  
Young Woman ◽  
University Of Toronto ◽  
New Ideas ◽  
The Creation ◽  
The University ◽  
Interwar Era

Edna Cress Staebler was a fairly typical young woman when she arrived at the University of Toronto in 1926. While attending the university, she explored the new ideas and norms of the interwar era. This article examines Staebler’s experiences within the context of modernity, the university and the creation of a Canadian nation. Staebler’s university years provided the foundations for her later career as a journalist and author during which she helped to create a modern Canadian national identity.

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