A local currency system reflecting variety of values with a swarm intelligence

Appropriate values for information resources and services need to be evaluated before these values and information resources are exchanged to circulate the information resources more smoothly. A local currency is suitable for financial settlement among members of a community. As previous studies treated values as a criterion, just circulating resources in communities is insufficient for evaluating various values. A value exchange system with agents has been developed to more smoothly offer information resources and services. We have found that a value vector was also created to reflect various values. Next, a method was developed for converting parts of vectors into securities to be circulated among the community. Furthermore, an information capsule was introduced to exchange services and local currencies. Multiple values should be combined in our scheme to pay them as the reward for services. It is generally difficult to decide optimum combinations that maximize the properties of entities. We applied particle swarm optimization (PSO), which is a method of optimization that emulates the behavior of creatures such as flocks of birds or schools of fish. We also propose a scheme to decide the optimum combinations of values as a reward for services.