Semantic network based knowledge representation for cognitive decision making in teaching electrical motor concepts

Author(s):  
Atul Prakash Prajapati ◽  
D.K. Chaturvedi
2010 ◽  
Vol 68 ◽  
pp. e299
Author(s):  
Satoshi Nonomura ◽  
Kazuyuki Samejima ◽  
Kenji Doya ◽  
Jun Tanji

2020 ◽  
pp. 193672442098298
Author(s):  
Beverlee B. Anderson ◽  
Jennifer Jeffries ◽  
Janet McDaniel

Humans make thousands of decisions each day. Most of the decisions we make are trivial or relatively unimportant in possible consequences. However, there are a few decisions we make in life that are lifechanging; one of those is the decision to retire from the professoriate. Voluntarily deciding to leave a profession where one has spent a substantial portion of one’s working life is one of life’s major decisions. This qualitative research looks at the various influences, actions, and feelings through the process of deciding to retire. Using a five-stage cognitive decision-process model as a framework, this paper reports on the reflections of 20 recent retirees over the five stages of the decision process from when first seriously considering the decision to postretirement activities and feelings. The results show that while all faculty progressed through the five stages, the timeframe, influences, feelings, and actions were unique to each individual.


2011 ◽  
Vol 204-210 ◽  
pp. 2098-2102 ◽  
Author(s):  
Ying Hong Zhong ◽  
Hong Wei Liu

In turbulent business environment, executives’ cognition plays an important role in their understanding and the process of decision making. Cognitive map helps the senior executives in their thought process. The construction of information-based cognitive map, however, is a wicked problem, which could hardly be tackled by hard systems methodologies. Design science provides a good solution. This paper puts forward a research methodology, which is divided into six activities, to build up an information systems (IS) based cognitive map for cognitive decision support. The methodology is demonstrated by a case study of a Chinese steel company’s strategic decision making.


Author(s):  
Ku Ruhana Ku-Mahamud ◽  
Aniza Mohamed Din ◽  
Noraziah Che Pa ◽  
Faudziah Ahmad ◽  
Wan Hussain Wan Ishak ◽  
...  

Focusing on the use of Semantic Network and Conceptual Graph (CG) representations, this paper presents an easy way in understanding concepts discussed in the Holy Quran. Quran is known as the main source of knowledge and has been a major source reference for all types of problems. However understanding the issues and the solution from the Quran is diffi cult due to lack of understanding of Quran literature. Meticulously, the Quran contains much important information related to female. However, this information are scattered and complexly linked. Technically, to extract and present the encapsulated knowledge on female matters in the Quran is a challenging task. Thus, this paper discusses on how to understand and represent the knowledge in an easy way. A total of 18 female terms are identifi ed. Through the terms, the name of surah, verses number and text from the verses are gathered. The texts are then analyzed and clustered into specifi c issues. Result of the analysis that consists of extracted knowledge on female issues is presented in a systematic structure using Semantic Network and CG. The strength and advantages of both approaches are compared, discussed and presented.  


Author(s):  
Mykhailo Mozhaiev ◽  
Pavlo Buslov

The results of the development of an information model for the personality’s social portrait formation are presented. The modelling has been carried out using OSINT technology that is the technology of legal obtaining and using open source information. In the result of the analysis, it has been found out that the social portrait is a heterogeneous semantic network consisting of personalized data. It has been defined that people organize formal and official communities of various orientations and the number of such communities associated with a particular person is practically unlimited. When formalizing the decision-making process, the concept of a group social portrait (GSP) has been introduced, which takes into account the community’s social tendencies united by certain common properties, group members' interpersonal interactions and their behavioural patterns. The obtained information models of personal and group social portraits let to take into account all the main properties of the objects under study, their tonality and significance, as well as to conduct an analysis of the implicit dependencies determination. The next step is to move on to considering the diversity of the digital social environment elements.


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