TY - GEN
T1 - Reinforcement Learning of Normative Monitoring Intensities
AU - Li, Jiaqi
AU - Meneguzzi, Felipe
AU - Fagundes, Moser Silva
AU - Logan, Brian
N1 - 18th International Workshop on Coordination, Organizations, Institutions, and Norms
PY - 2015/5
Y1 - 2015/5
N2 - Choosing actions within norm-regulated environments involves balancing achieving one's goals and coping with any penalties for non-compliant behaviour. This choice becomes more complicated in environments where there is uncertainty. In this paper, we address the question of choosing actions in environments where there is uncertainty regarding both the outcomes of agent actions and the intensity of monitoring for norm violations. Our technique assumes no prior knowledge of probabilities over action outcomes or the likelihood of norm violations being detected by employing reinforcement learning to discover both the dynamics of the environment and the effectiveness of the enforcer. Results indicate agents become aware of greater rewards for violations when enforcement is lax, which gradually become less attractive as the enforcement is increased.
AB - Choosing actions within norm-regulated environments involves balancing achieving one's goals and coping with any penalties for non-compliant behaviour. This choice becomes more complicated in environments where there is uncertainty. In this paper, we address the question of choosing actions in environments where there is uncertainty regarding both the outcomes of agent actions and the intensity of monitoring for norm violations. Our technique assumes no prior knowledge of probabilities over action outcomes or the likelihood of norm violations being detected by employing reinforcement learning to discover both the dynamics of the environment and the effectiveness of the enforcer. Results indicate agents become aware of greater rewards for violations when enforcement is lax, which gradually become less attractive as the enforcement is increased.
UR - http://www.meneguzzi.eu/felipe/pubs/coin-nmdp-asym-2015.pdf
U2 - 10.1007/978-3-319-42691-4_12
DO - 10.1007/978-3-319-42691-4_12
M3 - Published conference contribution
T3 - Lecture Notes in Computer Science
SP - 209
EP - 223
BT - Coordination, Organizations, Institutions, and Norms in Agent Systems XI.
PB - Springer
ER -