Abstract
This paper describes a two phase model for simulating trust amongst clients and their wealth management advisors. In phase one an artifcial life model was used to assess the dynamics of trust. In phase two the model is extended to utilise real data from a corporate database of client information. The alife model highlighted needs for information not captured directly, requiring sophisticated inference techniques. Fuzzy logic is used to describe client behaviour with rules found through evolutionary optimisation. Analysis of mutual information between time series of clients investments is used to determine links between clients.
Original language | English |
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Title of host publication | Proc. 20th European Modeling and Simulation Symposium EMSS2008 |
Place of Publication | Switzerland? |
Publisher | EMSS |
Pages | 1-9 |
Number of pages | 9 |
Publication status | Published - 2008 |
Event | European Modeling and Simulation Symposium (EMSS) - Amantea, Calabria Duration: 17 Sep 2008 → 19 Sep 2008 |
Conference
Conference | European Modeling and Simulation Symposium (EMSS) |
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Period | 17/09/08 → 19/09/08 |