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The reason for this is the simple fact that vertical thinking utilizes a sequential method in solving problem, where only one solution is generally realized. On the other hand, due to the non-linear nature of lateral thinking multiple solutions to the problems are fashioned in a more imaginative manner.
Divergent thinking is often contrasted with convergent thinking. Convergent thinking is the opposite of divergent thinking as it organizes and structures ideas and information, which follows a particular set of logical steps to arrive at one solution, which in some cases is a "correct" solution.
Problem solving When something creates a problem, the performance or the status quo of the situation drops. Problem-solving deals with finding out what caused the problem and then figuring out ways to fix the problem. The objective is to get the situation to where it should be.
Problem solving is the process of investigating the given information and finding all possible solutions through invention or discovery. Traditionally, it is argued that problem solving is a step towards decision making, so that the information gathered in that process may be used towards decision-making. [9] [page needed]
Convergent thinking is used as a tool in creative problem solving. When an individual is using critical thinking to solve a problem they consciously use standards or probabilities to make judgments. [2] This contrasts with divergent thinking where judgment is deferred while looking for and accepting many possible solutions.
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.
Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference. [14]A heuristic is a strategy that ignores part of the information, with the goal of making decisions more quickly, frugally, and/or accurately than more complex methods (Gigerenzer and Gaissmaier [2011], p. 454; see also Todd et al. [2012], p. 7).
The MECE principle has been used in the business mapping process wherein the optimum arrangement of information is exhaustive and does not double count at any level of the hierarchy. Examples of MECE arrangements include categorizing people by year of birth (assuming all years are known), apartments by their building number, letters by postmark ...