Cognitive Informatics: Transdisciplinary Study

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Problem solving is the basic life functions of the ordinary intelligence of the brain. Cognitive informatics is the transdisciplinary study of cognitive and information sciences that explore into the internal information processing mechanisms of the natural intelligence ( Wang, 2002b, 2003a, 2007b, 2009; Zadeh, 2008a; Zadeh, 2008b; Zhong, 2006).Cognitive informatics provides a clear framework of existing theories for explaining human cognitive processes, such as problem solving, learning, decision making, and consciousness. A layered reference model of the brain (LRMB) revealed that the brain and human intelligent behaviours explained by 39 cognitive processes at six layers which are the sensation, memory, perception, action, meta-cognition, …show more content…

Creative Problem Solving (CPS) is related to problem solving skills and creative thinking. Problem skills solving involve the divergent thinking and the convergent thinking. Besides that, involve reasoning, structure and system knowledge. There are seven steps to solve a problem according to Creative Problem Solving (CPS) such as orientation, preparation, analysis, hypothesis, incubation, synthesis, and verification. In the blended learning instructor establish learning objectives, assign learning tasks, interact with students, give feedback, and evaluate students’ achievement. It’s help to identify student problems and how to improve the ability to solve …show more content…

Happy software developers solve problems better in psychological measurements in empirical software engineering and good at creating a working environment to support creativity, and providing incentives (Boehm & Papaccio, 1988), at the same time, making software developers satisfied and happy. In software engineering research, the affective states of software developers have been investigated rarely in spite of the fact that affective states have been a subject of other Computer Science disciplines, such as computer interaction and computational intelligence (Lewis, Dontcheva & Gerber, 2011; Tsonos, Ikospentaki & Kouroupetrolgou, 2008). Thus, we believe that studying the affective states of software developers may provide new ideas about techniques to develop overall productivity.Human factors of software engineering could be studied by “collecting psychometrics” as suggested by Feldt et al. (2008). Diener et al. (1999) and Lyubomirsky. King & Diener (2005) reported that various studies have shown that individuals’ happiness are related to achievement in various life domains, including work achievements. The relationship between effect on the job and work-related achievements, including performance (Barsade & Gibson, 2007; Miner & Glomb, 2010; Shockley et

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