Psychology Commons^™

In the last 20 years, a stream of research emerged under the label of „complex problem solving“ (CPS). This research was intended to describe the way people deal with complex, dynamic, and intransparent situations. Complex computer-simulated scenarios were as stimulus material in psychological experiments. This line of research lead to subtle insights into the way how people deal with complexity and uncertainty. Besides these knowledge-rich, realistic, intransparent, complex, dynamic scenarios with many variables, a second line of research used more simple, knowledge-lean scenarios with a low number of variables („minimal complex systems“, MCS) that have been proposed recently in problem-solving …

Problem solving research is in need for re-thinking main questions. The purpose of this paper is a stock-taking of some of the identified problems, to discuss potential remedies for them, and to look for future perspectives. I see three areas for discussion: (1) What are the phenomena to be explained? (2) What methods should be used? What methodology is appropriate to the subject? (3) What is the progress in theory since the legendary work from Newell and Simon (1972)? What can we expect from new data sources? How can we relate data to theoretical assumptions?