SYSTEMIC GENERATION OF SOLVING NECESSARY PROFESSIONAL THE TASKS

The article explains the widespread use of mathematical modeling and computational experiment in solving scientific and technical problems. It is proved that for the construction of a good model should, be chosen major processes, order parameters, towards which must adapt all the other degrees of freedom of the system. The path to understanding complex phenomena - is to build a hierarchy of simplified models. It is argued, that if the information is represented in the form of parametric networks based on the principles of the brain, then the student will be much faster to process and evaluate such information. Subsequently, the subject of action will be enough only to compare the new information, a new internal image created on the basis of transmitted information from a previously created and stored in the memory of the parametric network, taking into account the novelty and make a decision. Under such conditions, the significantly efficiency increases processing. Image component allows a person to discover new ways of solutions to plan the professional activity, that is, to acquire new knowledge. The strategy of creative thinking creates multivariate context due to the simultaneous grasp of almost all features and connections of one or many events. The conclusion, for practical implementation of such training, it is necessary to adequately prepare and initiate information environment that meets the criteria and conditions sustainable functioning of the entire system. Are proved, necessity of giving up "elementaristic approach" and the transition to a qualitatively new - a systematic approach in the knowledge of the professional environment.

the parametric control by process, analysis and evaluation of information, information transfer, the knowledge generation, the actual support of activities of specialist, the interval scale by representation, content management stages by the search for solutions