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Reasoning in this area is often called qualitative simulation.
The basic idea being:
- Construct a sequence of discrete episodes that occur as qualitative
variable value changes.
- States are linked by qualitative rules that may be general.
- Rules may be applied to many objects simultaneously as they may all
influence each other -- constraint satisfaction used.
- Ambiguity may arise so split outcomes into different paths and form a
network of all possible states and transitions.
- Each path is called a history the network an envisionment.
- In order to achieve effective programs for this we must know how to
represent the behaviour of many kinds of processes, materials and the world in
which they act.
dave@cs.cf.ac.uk