Adaptation Using an Incomplete Causal Model ?

This paper describes a technique for integrating case-based reasoning with model-based reasoning to predict the behavior of biological systems characterized both by incomplete models and insu cient empirical data for accurate induction. This technique is implemented in CARMA, a system for rangeland pest management advising. CARMA's ability to predict the forage consumption judgments of 15 expert entomologists was empirically compared to that of CARMA's case-based and model-based components in isolation. This evaluation con rmed the hypothesis that integrating model-based and case-based reasoning through model-based adaptation can lead to more accurate predictions than the use of either technique individually.