On models, modelling and the distinctive nature of model-based reasoning

  • Authors:
  • Affiliations:
  • Venue:
  • AI Communications
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

What are models and how is the relatively new technology ofModel-Based Reasoning different from conventional modelling inscience and engineering? These questions are explored in this paperby examining the fundamental nature of models. We explore modelcharacteristics, different classes of model and various dimensionsof the modelling space. Our analysis puts models into a generalframework from which emerges the interesting case of qualitativemodels. Inevitably, such a broad treatment must be a personal viewbut the objective is to draw attention to key issues. Our aim is toincrease understanding of the modelling process and clarify theoptions available for model builders. We argue that the technologyknown as Model-Based Reasoning, which uses explicit, executablemodels is a powerful and widely applicable approach that has muchpotential for managing the complexity encountered in manyapplication domains. The advantages of the method include anemphasis on principled model design, the ability to guaranteecompleteness of the solutions and powerful reuse and automationopportunities.