Evaluating Model Abstractions: A Quantitative Approach
Keywords
- Abstraction
- Artificial Intelligence
- Inductive Reasoning
- Model/Simulation Evaluation
- Model Validation
- Non-monotonic Reasoning
- Simulation Correctness
Abstract
An "evaluation" approach devised for an inductive reasoning system called
Logic-based Discrete-event Inductive Reasoner is the focus of this paper.
The underlying inductive reasoning methodology utilizes abstractions as its primary
means to deal with lack of knowledge. Based on abstractions and their treatments as
assumptions, the Logic-based Discrete-event Inductive Reasoning system allows
non-monotonic predictions. The evaluation approach takes into account explicitly the
role of abstractions employed in non-monotonically derived multiple predictions.
These predictions are ranked according to the type and number of
abstractions used. The proposed evaluation approach is also discussed in relation to
the dichotomy of model validation and simulation correctness.
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Last modified: June 17, 2005 -- © François Cellier