TY - GEN
T1 - Modeling human behavior selection under environmental subsidy policy by multi-agent simulation
AU - Imoto, Tomoko
AU - Nakano, Shin'Ya
AU - Higuchi, Tomoyuki
PY - 2012
Y1 - 2012
N2 - In recent years, the importance of environment is widely recognized and various kinds of environmental policies have been implemented. However, when one establishes a policy, there are few cases that the contents and the period of the policy are evaluated by using prediction method for its effect. In this study, we aim to predict the effects of a policy in micro-level by using agent simulations and estimate the optimal period of the policy implementation by totally evaluating its effect. For sugarcane farmer of an area in Japan, we performed 200 thousand patterns of simulations in order to optimize the subsidy of green manure and its implementation period. In particular, when the values of the parameters in the simulation model are not clearly defined, we are able to show various futures caused by the policy implementation of interest based on large-scale simulations with a huge variety of the parameter values.
AB - In recent years, the importance of environment is widely recognized and various kinds of environmental policies have been implemented. However, when one establishes a policy, there are few cases that the contents and the period of the policy are evaluated by using prediction method for its effect. In this study, we aim to predict the effects of a policy in micro-level by using agent simulations and estimate the optimal period of the policy implementation by totally evaluating its effect. For sugarcane farmer of an area in Japan, we performed 200 thousand patterns of simulations in order to optimize the subsidy of green manure and its implementation period. In particular, when the values of the parameters in the simulation model are not clearly defined, we are able to show various futures caused by the policy implementation of interest based on large-scale simulations with a huge variety of the parameter values.
KW - Agent Simulation
KW - Environmental Policy
KW - Merge Action
KW - Parameter Variety
UR - http://www.scopus.com/inward/record.url?scp=84855955508&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84855955508&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-27216-5_25
DO - 10.1007/978-3-642-27216-5_25
M3 - Conference contribution
AN - SCOPUS:84855955508
SN - 9783642272158
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 350
EP - 358
BT - Advanced Agent Technology - AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM3AS, ITMAS, Revised Selected Papers
T2 - International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2011
Y2 - 2 May 2011 through 6 May 2011
ER -