Observation as Learning Methods in Simple Visual System of Vehicle Control

The goal of the presented article is a description of an inductive method of knowledge structure creating, which may be applied in a system of an autonomic vehicle control. The paper deals with the relatively simple task of industrial vehicles control, which operate in a specific environment. The information about the environment is achieved from camera mounted on the vehicle. An analysis of the image leads to the construction the knowledge in a form of structure of concepts (i.e. classes) and objects. The proposed approach is illustrated by simple example. The paper describes crucial problems of the proposed knowledge creation, especially concerning initial assumptions about visible phenomena and problems of the knowledge updating (learning). The article attempts to formulate conditions determining a successful usage of the proposed methodology. The main condition is building an efficient methods of searching the proper concept structure.