"Broadly speaking, qualitative-reasoning research aims to develop representation and reasoning techniques that will enable a program to reason about the behavior of physical systems, without the kind of precise quantitative information needed by conventional analysis techniques such as numerical simulators. ... Observing pouring rain and a river's steadily rising water level is sufficient to make a prudent person take measures against possible flooding - without knowing the exact water level, the rate of change, or the time the river might flood."
– Yumi Iwasaki. IEEE Expert: Intelligent Systems (May/June 1997).
The Qualitative Reasoning and Modelling (QRM) portal provides software tools (Garp3), documentation and support for users to build and simulate qualitative models. Qualitative Reasoning (QR) is an area of research within Artificial Intelligence (AI) that automates reasoning and problem solving about the (physical) world. It creates non-numerical descriptions of systems and their behaviour, preserving important behavioural properties and qualitative distinctions. Successful application areas include autonomous spacecraft support, failure analysis and on-board diagnosis of vehicle systems, automated generation of control software for photocopiers, conceptual knowledge capture in ecology, and intelligent aids for human learning (Bredeweg & Struss, 2003). Qualitative Reasoning has particularly value for developing, strengthening and further improving education and training on topics dealing with systems and their behaviour.
Chatter box abstraction eliminates chatter by performing a focused envisionment while Behavior Aggregation eliminations event occurrence branching. Describes a simulation technique that uses a cross between a state-based representation and a history-based representation. Models are decomposed into components and then each component is simulated separately. Temporal correlations between variables within different components is eliminated thus reducing many irrelevant distinctions within the behavioral description.
See also:Qualitative Reasoning: Modeling and Simulation With Incomplete Knowledge. MIT Press, 1994.Abstraction by Time-Scale in Qualitative Simulation (Extended Abstract). Qualitative Physics Workshop, University of Illinois, 1987.THE LIMITS OF QUALITATIVE SIMULATION.Qualitative Simulation as Causal Explanation, Systems, Man and Cybernetics, IEEE Transactions on , vol.17, no.3, pp.432,444, May 1987.Taming Intractible Branching in Qualitative Simulation. IJCAI-87.Qualitative simulation: then and now. In Artificial Intelligence in Perspective, D.G. Bobrow (ed.), MIT Press, 1994.Non-Intersection of Trajectories in Qualitative Phase Space: A Global Constraint for Qualitative Simulation. AAAI-88.Artificial Intelligence 29:289-338