Authors:
Andreas Geiger
;
Andreas Kroll
and
Hanns J. Sommer
Affiliation:
University of Kassel, Germany
Keyword(s):
Artificial General Intelligence, Computational Intelligence, Imprecisely Posed Problems.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Computational Intelligence
;
Engineering Applications
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
Soft Computing
;
System Modeling
Abstract:
Problem solving and problem understanding are interwoven. Often at the beginning of a project, engineers’ knowledge is insufficient with regard to the posed problems. The correct specification of a task may depend on its solution, which is why the conventional sequence of specification and solution cannot be maintained. Methods are needed to deal with ’imprecisely posed problems’, by which the solution process will be adapted to the essential problem structures only. We present procedures to detect these essential structures and to acquire problem solving skills from the solution process itself.