TY - GEN
T1 - Learning and evolution affected by spatial structure
AU - Ono, Masahiro
AU - Ishizuka, Mitsuru
PY - 2006
Y1 - 2006
N2 - In this study, we explore the roles of learning and evolution in a non-cooperative autonomous system through a spatial IPD (Iterated Prisoner's Dilemma) game. First, we propose a new agent model playing the IPD game; the game has a gene of the coded parameters of reinforcement learning. The agents evolve and learn during the course of the game. Second, we report an empirical study. In our simulation, we observe that the spatial structure affects learning and evolution. Learning is not effective for achieving mutual cooperation except under certain special conditions. The learning process depends on the spatial structure.
AB - In this study, we explore the roles of learning and evolution in a non-cooperative autonomous system through a spatial IPD (Iterated Prisoner's Dilemma) game. First, we propose a new agent model playing the IPD game; the game has a gene of the coded parameters of reinforcement learning. The agents evolve and learn during the course of the game. Second, we report an empirical study. In our simulation, we observe that the spatial structure affects learning and evolution. Learning is not effective for achieving mutual cooperation except under certain special conditions. The learning process depends on the spatial structure.
KW - Game theory
KW - Prisoner's dilemma
KW - Small world network
UR - http://www.scopus.com/inward/record.url?scp=33749544794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749544794&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33749544794
SN - 3540366679
SN - 9783540366676
VL - 4099 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 651
EP - 660
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 9th Pacific Rim International Conference on Artificial Intelligence
Y2 - 7 August 2006 through 11 August 2006
ER -