An Architecture for Problem Solving with Diagrams

In problem solving a goal/subgoal is either solved by generating needed information from current information, or further decomposed into additional subgoals. In traditional problem solving, goals, knowledge, and problem states are all modeled as expressions composed of symbolic predicates, and information generation is modeled as rule application based on matching of symbols. In problem solving with diagrams on the other hand, an additional means of generating information is available, viz., by visual perception on diagrams. A subgoal is solved opportunistically by whichever way of generating information is successful. Diagrams are especially effective because certain types of information that is entailed by given information is explicitly available – as emergent objects and emergent relations – for pickup by visual perception. We add to the traditional problem solving architecture a component for representing the diagram as a configuration of diagrammatic objects of three basic ty...

• Type: Conference
• Year: 2004
• Where: DIAGRAMS
• Authors: B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee, John R. Josephson, Robert Winkler
• Keywords: Artificial Intelligence, DIAGRAMS 2004, Problem Solving, Traditional Problem, Visual Perception