Intelligent Multi Agent Systems for decision support in insurance industry

MAS (Multi Agent Systems), belong to the field of AI (Artificial Intelligence), the study addressing the methods of construction of complex systems using a large number of agents and adjusting their behavior to a particular problem. MAS can be defined as groups of entities (agents) working together to solve problems not solvable by their individual skills and know-how. Business decisions are based on extraction of useful knowledge from different data sources. Those data sources, usually called the big data, might be huge digital data sets such as an internal data warehouse or external sources like the web. In order to process the big data, one needs to have smart solutions, analytics services, programming tools and applications. Intelligent agents can perform certain tasks such as big data processing, information retrieval and the creation of OLAP (On-Line Analytical Processing) cubes which represent multidimensional data. Given that volumes of data grow continuously, insurance companies have to be able manage them. The agent technology has the potential to become the key technology for management of ever-increasing amount of information. This paper describes how to develop MAS in order to gather useful knowledge from the data source and automate the specific process for better business decision.