Tamara Carleton, William Cockayne, Larry Leifer
The concept of ambiguity is often discussed within the field of Artificial Intelligence; however, its role and effect on early-stage complex problem solving is not well understood. This paper describes a theoretical framework that recognizes the relationship between ambiguity and uncertainty, as these variables change throughout the different stages of problem solving. We particularly focus on the start of the process, when ambiguity and creativity are typically high. Through a case study approach, we hope to provide a foundation for the design and development of creative intelligent systems that more effectively support ambiguity during complex problem solving.
Subjects: 15. Problem Solving; 1.4 Design
Submitted: Jan 22, 2008