A Reference Net Based Formalization of Concurrent Cognitive Decision Making

Author(s):  
Johann Duscher ◽  
Amine El Malki
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.


2021 ◽  
Vol 24 ◽  
pp. 400-410
Author(s):  
Evgenia Gkintoni ◽  
Constantinos Halkiopoulos ◽  
Hera Antonopoulou ◽  
Ioanna Koutsopoulou

Recent advancements in information and communication technology (ICT) and the growing use of technological equipment by young adults, combined with unrestricted access to the Internet and social media and the unrestricted use of smartphones and computers, have resulted in the emergence of social phenomena such as sexting. This article serves two purposes: To capture the phenomenon of sexting to investigate young adults' perceptions of sexting and the frequency with which social media users exchange sexual messages via a self-report questionnaire and to describe the behavioral profile of social media users network users via a cognitive decision-making detection test. Data were collected and analyzed using descriptive statistical analysis methods from a sample of young adults, students, and social network users (N = 377, Age: 18-39 years). The findings indicated that the sexting phenomenon is gaining traction among young adults, based on data processing and analysis from the administration of the reference questionnaire. Simultaneously, it appears to be related to participants' behavioral profiles in the cognitive dimension of decision-making. The current study's findings, which are being piloted, may aid in developing broad conclusions that can be accepted and affect policy and decision-making in the disciplines of clinical psychology, and cognitive neuroscience and education. In summary, sexting poses numerous risks to young adults in Greece and must be addressed more effectively in the interests of stakeholders and the larger community. Additionally, lawmakers, legislators, and authorities should take steps to safeguard children, adolescents, and young people who are heavily interested in social media and have integrated it into their daily life.


Author(s):  
Yu Zhang ◽  
Mark Lewis ◽  
Christine Drennon ◽  
Michael Pellon ◽  
Coleman

Multi-agent systems have been used to model complex social systems in many domains. The entire movement of multi-agent paradigm was spawned, at least in part, by the perceived importance of fostering human-like adjustable autonomy and behaviors in social systems. But, efficient scalable and robust social systems are difficult to engineer. One difficulty exists in the design of how society and agents evolve and the other diffi- culties exist in how to capture the highly cognitive decision-making process that sometimes follows intuition and bounded rationality. We present a multi-agent architecture called CASE (Cognitive Agents for Social Environments). CASE provides a way to embed agent interactions in a three-dimensional social structure. It also presents a computational model for an individual agent’s intuitive and deliberative decision-making process. This chapter also presents our work on creating a multi-agent simulation which can help social and economic scientists use CASE agents to perform their tests. Finally, we test the system in an urban dynamic problem. Our experiment results suggest that intuitive decision-making allows the quick convergence of social strategies, and embedding agent interactions in a three-dimensional social structure speeds up this convergence as well as maintains the system’s stability.


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