Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing

Abstract

Information and communication tools and technologies are rapidly changing daily lives of people and business processes in economic activity primarily in the field of logistics. In particular, the innovative nature of these transformations leads to the emergence of new logistical risks, changing the essence of the existing ones, which needs to be taken into account in the management of logistics systems at various levels. Besides, the problem of Big Data has become increasingly urgent, which, on the one hand, can improve the validity of making managerial decisions, on the other hand — they (Big Data) require modern tools for their production, processing and analysis. As such tools there can be used methods and models of natural computing. In the paper the basics of ant and bee algorithms, the particle swarm method, artificial immune systems are summarized; the possibilities of their application in the modeling of various types of logistical risk are demonstrated, the formalization of the problem of risk modeling with the use of an artificial immune system being given as a conditional example.

Keywords

• logistical risk
• networked information economy
• natural computing
• collective artificial intelligence
• Industry 4.0