TY - GEN
T1 - Multi-agent model of trust in a human game
AU - Jonker, Catholijn M.
AU - Meijer, Sebastiaan
AU - Tykhonov, Dmytro
AU - Verwaart, Tim
PY - 2006
Y1 - 2006
N2 - Individual-level trust is formalized within the context of a multi-agent system that models human behaviour with respect to trust in the Trust and Tracing game. This is a trade game on commodity supply chains and networks, designed as a research tool and to be played by human players. The model of trust is characterised by its learning ability, its probabilistic nature, and how experience influences trust. The validity of the trust model is tested by comparing simulation results with aggregated results of human players. More specifically the simulations show the same effects as human plays on selected parameters like confidence, tracing cost, and the trust update coefficient on observable game statistics like number of cheats, traces, certificates, and guarantees. © 2006 Springer-Verlag Berlin Heidelberg.
AB - Individual-level trust is formalized within the context of a multi-agent system that models human behaviour with respect to trust in the Trust and Tracing game. This is a trade game on commodity supply chains and networks, designed as a research tool and to be played by human players. The model of trust is characterised by its learning ability, its probabilistic nature, and how experience influences trust. The validity of the trust model is tested by comparing simulation results with aggregated results of human players. More specifically the simulations show the same effects as human plays on selected parameters like confidence, tracing cost, and the trust update coefficient on observable game statistics like number of cheats, traces, certificates, and guarantees. © 2006 Springer-Verlag Berlin Heidelberg.
UR - https://www.scopus.com/pages/publications/47049093811
UR - https://www.scopus.com/pages/publications/47049093811#tab=citedBy
U2 - 10.1007/3-540-28547-4_8
DO - 10.1007/3-540-28547-4_8
M3 - Conference contribution
T3 - Lecture Notes in Economics and Mathematical Systems
SP - 91
EP - 102
BT - Artificial Economics: Agent-Based Methods in Finance, Game Theory and Their Applications
A2 - Brandouy, O.
ER -