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A multi-agent system ( MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. [1] Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. [2] Intelligence may include methodic, functional, procedural approaches ...
Problem-based learning. A PBL group at Sydney Dental Hospital. Problem-based learning ( PBL) is a teaching method in which students learn about a subject through the experience of solving an open-ended problem found in trigger material. The PBL process does not focus on problem solving with a defined solution, but it allows for the development ...
Overview Sample Ishikawa diagram shows the causes contributing to problem. The defect, or the problem to be solved, is shown as the fish's head, facing to the right, with the causes extending to the left as fishbones; the ribs branch off the backbone for major causes, with sub-branches for root-causes, to as many levels as required.
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue ...
t. e. In numerical analysis, finite-difference methods ( FDM) are a class of numerical techniques for solving differential equations by approximating derivatives with finite differences. Both the spatial domain and time domain (if applicable) are discretized, or broken into a finite number of intervals, and the values of the solution at the end ...
Recognizing patterns, analyzing ideas, synthesizing information, solving problems, and creating things all involve abstract thinking. The ability to think abstractly develops as we mature, and we ...
Synectics is a problem solving methodology that stimulates thought processes of which the subject may be unaware. This method was developed by George M. Prince (1918–2009) [1] and William J.J. Gordon, originating in the Arthur D. Little Invention Design Unit in the 1950s. According to Gordon, Synectics research has three main assumptions: [2 ...
For broader coverage of this topic, see Mathematical optimization. In mathematics, engineering, computer science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions . Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete ...