Exploiting Fertility to Enable Automatic Content Generation to Ameliorate User Fatigue in Interactive Evolutionary Computation

2018 ◽  
Author(s):  
Daniel Ashlock ◽  
Joseph Alexander Brown ◽  
Lolita Sultanaeva
Keyword(s):  
Evolutionary Computation ◽  
Interactive Evolutionary Computation ◽  
User Fatigue ◽  
Content Generation

User Fatigue in Interactive Evolutionary Computation

2011 ◽  
Vol 48-49 ◽  
pp. 1333-1336 ◽  
Author(s):  
Jun Rong Yan ◽  
Yong Min
Keyword(s):  
Evolutionary Computation ◽  
Future Research ◽  
Interactive Evolutionary Computation ◽  
User Fatigue ◽  
The Impact

User fatigue is an important issue in interactive evolutionary computation (IEC). A user’s evaluation will guide the evolution in IEC and a tired user probably misleads the algorithm. Firstly, the impact of the user fatigue is given. Secondly, the cause of the user fatigue is discussed: he/she will have to keep rational, which means that the user will have to keep the consistency between his/her evaluation and preference. And the necessity for the user to keep rational is also analyzed, which will ensure IEC to converge to the user-most-satisfactory individuals. The study of user fatigue established necessary foundation for future research.

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.

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