TY - GEN
T1 - A local currency system reflecting variety of values with a swarm intelligence
AU - Hirotsugu, Kinoshita
AU - Yoshiaki, Tajima
AU - Tetsuya, Morizumi
AU - Masato, Noto
AU - Hideyuki, Kanabe
AU - Sumiko, Miyata
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Electronic Commerce
KW - Electronic money
KW - Local currency
KW - Particle Swarm Optimization
UR - http://www.scopus.com/inward/record.url?scp=84867971096&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867971096&partnerID=8YFLogxK
U2 - 10.1109/SAINT.2012.47
DO - 10.1109/SAINT.2012.47
M3 - Conference contribution
AN - SCOPUS:84867971096
SN - 9780769547374
T3 - Proceedings - 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet, SAINT 2012
SP - 251
EP - 255
BT - Proceedings - 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet, SAINT 2012
T2 - 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet, SAINT 2012
Y2 - 16 July 2012 through 20 July 2012
ER -