In this article, a methodology and its application in various fields is dealt with. The theoretical research work has been undertaken at the McLeod Institute of Simulation Sciences Hungarian Center and its results have been implemented in the CASSANDRA (Cognizant Adaptive Simulation System for ...
Validation of methodology for utility demand prediction considering actual variations in inhabitant behaviour schedules statistical information is called the generate and kill concept, which is commonly used in the fields of artificial intelligence and multi-agent simulation. ... J Tanimoto,A Hagishima,H...
o Methodology o Results o Discussion o Conclusions o Suggestions o References Abstract In this study, the effects of teacher-directed and self-directed problem-solving strategies on students’ attitudes toward physics were explored. Problem-solving strategies were used with the experimental...
3. Problem-solving methodology Throughout this section, we discuss the methodology we have adopted in order to find high-quality non-dominated solutions for the BITTP. We describe in detail all components of our proposed algorithm as well as all the decisions made during its design development....
However, a theory-driven scale to extend empowerment into the use of AI for problem-solving is lacking. This study developed and validated an 11-item scale of empowerment in using AI for problem-solving (EUAIPS) based on a proposed conceptual framework that synthesises empowerment and AI-...
Alongside Six Sigma and total quality management, it is a proven and successful methodology for quality improvement. The 8 disciplines explained The 8D process focuses on eight elements called disciplines, each making a critical contribution to successful problem-solving. D1: Establish the team ...
3. Keep asking why (and check in on the progress) When it comes to problem-solving, stay curious. Lean on yourgrowth mindsetto keep asking why — and check in on the progress. Asking why until you’re satisfied that you’ve uncovered theroot causeof the problem will help you avoid ine...
This chapter explores that categorization and problem-solving are widely studied in psychology and artificial intelligence (AI), but these areas of research have been largely segregated. It seeks to rectify this situation by discussing relationships between categorization and problem-solving and the memory...
Secondly, a dynamic weight methodology is adopted for the acceleration coefficients by combining the iterative map and linearly transformed method. This method utilizes the chaotic nature of the mapping function, the fast convergence capability of the dynamic weighting scheme, and the time-varying ...
we outline a specific methodology that we will later demonstrate. We formulate theinverse problemas a problem in optimization, where we define an objective function based on the data misfit and model regularization and aim to find a model which sufficiently minimizes it. Many variants of this are...