Learning Function of Devices Using Qualitative Function Formation Technique

Abstract

The goal of this research is developing methods for categorizing and learning function of objects from a formal description of their structure and behavior using Functional Reasoning (FR). A collective view on FR theories and techniques is presented, common assumptions and basic problems are identified. Qualitative Function Formation (QFF) technique is introduced. Some novel points are extending the common qualitative models to include interactions and timing of events, by defining coordinative relations, temporal and dependency constraints, and binding it with the conventional qualitative simulation. A function concept is defined as an interpretation of a persistence or an order in the sequence of qualitative states. Examples of application of QFF in categorization and learning function of objects are given