Mental model formation in a problem solving.

Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization

Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model c...

Visual search light model for mental problem solving

This paper proposes a model of mental imagery which takes into account the role of internal attentional search light. We model the process of mental imagery problem solving by a long term memory which manipulates, with the aid of associations, the information of the visual buffer. The visual buffer is changed until a desired solution for a visual problem is achieved. The associations are determ...

Imagery and Mental Models in Problem Solving

Six subjects were asked to read and try to understand the first part of Einstein’s 1905 paper on special relativity. On the basis of the diagrams drawn by the subjects while they read the text, their thinking aloud protocols, their responses to questions, and other observations, we have inferred the processes they used to understand the paper, and the role that mental images (mental representat...

Model-based Problem Solving

The development of the concept of model-based systems was an answer to the limitations of rule-based “expert systems”, which base problem solving (e.g., diagnosis) on a representation of experiential knowledge in a domain. These limitations are not due to the syntactic form of representing knowledge (rules), but result from the nature of the represented knowledge: termed “empirical associations...

Applying the problem - solving model outside of problem - solving courts