In this paper we deal with a dynamic system of rating given number of alternatives based on alo-groups where agent-based simulations with interactions among agents are dependent on some parameters. An extension of the previous approach deals with the problem of ranking a finite number of alternatives by pairwise comparison matrices. A dynamic system of rating for a given number of alternatives based on agent-based simulation with interactions among agents, where their PC matrices take elements from an alo-group, is presented. This system is able to simulate various business or social processes, e.g. financial market, products' demand and supply, electors' preferences of political parties, etc. A simple simulation experiment has been performed.