An Approach to Generating Scientific Techniques Based on Compositional Adaptation

This paper presents a new approach for generating scientific techniques based on a kind of compositional adaptation. In this respect, problem situation and solution are represented in terms of appropriate frames and tree structures respectively, and the final solution is then obtained through composing the solutions of the similar cases using a global distance function. The workability of this approach has been examined for the domain of Image Processing. The proposed approach can be applied to any scientific domain within which, goals can be defined in terms of appropriate actions.

An Approach to Generating Scientific Techniques Based on Compositional Adaptation Keywords:

Technique generation , scientific techniques , frame , compositional adaptation