Problem Solving and Increase of Ideality of Complex Systems

2016 ◽  
pp. 305-327 ◽  
Author(s):  
Helena V. G. Navas
Keyword(s):  
Problem Solving ◽  
Complex Systems

Assessing complex problem-solving skills with multiple complex systems

2014 ◽  
Vol 21 (3) ◽  
pp. 356-382 ◽  
Author(s):  
Samuel Greiff ◽  
Andreas Fischer ◽  
Matthias Stadler ◽  
Sascha Wüstenberg
Keyword(s):  
Problem Solving ◽  
Complex Systems ◽  
Complex Problem ◽  
Complex Problem Solving ◽  
Problem Solving Skills

scholarly journals Development of Perceived Complex Problem-Solving Instrument in Domain of Complex Systems

Systems ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 51
Author(s):  
Morteza Nagahi ◽  
Alieh Maddah ◽  
Raed Jaradat ◽  
Mohammad Mohammadi
Keyword(s):  
Problem Solving ◽  
Complex Systems ◽  
Systems Thinking ◽  
21St Century ◽  
Complex Problem ◽  
Complex Problem Solving ◽  
Final Model ◽  
Complex Problems ◽  
High Level ◽  
The Relationship

The ability to solve modern complex systems becomes a necessity of the 21st century. The purpose of this study is the development of an instrument that measures an individual’s perception toward solving complex problems. Based on literature and definitions, an instrument with four stages named perceived complex problem-solving (PCPS) was designed through exploratory and confirmatory stages. The instrument is validated and scaled through different models, and the final model is discussed. After completing validation and scale development of the PCPS instrument, the final model of the PCPS instrument was introduced to resolve the gap in the literature. The final model of the PCPS instrument is able to find and quantify the degree of perception an individual holds in dealing with complex problems and can be utilized in different settings and environments. Further research about the relationship between Systems Thinking and CPS revealed individuals with a high level of systems thinking have a better understanding of the characteristics of complex problems and so better perception of CPS.

All Hazards Analysis

2006 ◽  
pp. 1-16 ◽  
Author(s):  
Daryl Essam ◽  
Hussein A. Abbass
Keyword(s):  
Problem Solving ◽  
Complex Systems ◽  
Artificial Life ◽  
Biological Warfare ◽  
Agent Based ◽  
Traditional Problem ◽  
System Components ◽  
New Perspective ◽  
Safety Applications

With the increase in the complexity of terrorism’s networks and activities, the advances in chemical and biological warfare, and the use of organized criminal activities, it is becoming apparent that dealing with this complexity is not possible with traditional problem-solving approaches. The artificial complexity area (Artificial Life, or ALife), complex systems and agent-based distillation (ABD) provide a new perspective to the problem and emphasize the importance of modeling the interaction between system components to tackle these issues. This chapter presents an introduction to Cellular Automota and ABD, and then reviews and critiques how these approaches specifically have been used to model aspects of bushfires, epidemics, biological warfare and terrorism. This chapter then extends upon previous works to present an overview of the possible use of artificial complexity models to the larger field of security and safety applications.

System Failures

2019 ◽  
pp. 91-112
Author(s):  
William B. Rouse
Keyword(s):  
Pattern Recognition ◽  
Problem Solving ◽  
Complex Systems ◽  
Mental Models ◽  
Social Phenomena ◽  
Team Coordination ◽  
System Failures ◽  
Operations And Maintenance ◽  
Problem Solving Strategies ◽  
Human Problem

This chapter focuses on the operations and maintenance of new product and service offerings once they have been deployed; in particular, it addresses dealing with system failures. Addressing system failures is an important aspect of operating and maintaining complex systems, particularly when laced with behavioral and social phenomena. Despite advances in technology and automation, humans will inevitably have roles in addressing failures when detection, diagnosis, and compensation cannot be automated. Human problem-solving involves a mix of pattern recognition and structural sleuthing based on mental models for taskwork and teamwork. Training and aiding can enhance human problem-solving performance by fostering problem-solving strategies and tactics, as well as team coordination.

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