Decision making model in multi-agent system

A modern company is characterized by the complex adaptive system, but the environment in which it operates together with other business subjects (agents) is also complex. Consequently, the requirements for appropriate or optimal decisions and successfully completed activities are hard to meet. Given that expected future events and circumstances often occur in nonlinear mechanisms, the decisions made by following the models of traditional predicting and planning are not satisfactory. This calls for new approaches to decision making and acting. The decision making situation in the group of actors can be illustrated using different formal Methods. Thus, we analyzed multi-agent system and dynamic decision making mechanism, and presented learning wheel in decision making. These research results can be used to describe the nonlinear mechanisms in multi-agent decision making system.