TY  - THES
A1  - Kuhn Andriotti, Gustavo
T1  - Prospect Theory Multi-Agent Based Simulations for Non-Rational Route Choice Decision Making Modelling
T1  - Prospect Theorie basierte Multi-Agenten Simulationen für nicht-rationalle Route Entscheidung Modellierung
N2  - Simulations (MASim) and non-rational behaviour. This non-rational behaviour is here based on the Prospect Theory [KT79] (PT), which is compared to the rational behaviour in the Expected Utility Theory [vNM07] (EUT). This model was used to design a modified Q-Learning [Wat89, WD92] algorithm. The PT based Q-Learning was then integrated into a proposed agent architecture. Because much attention is given to a limited interpretation of Simon's definition of bounded-rationality, this interpretation is broadened here. Both theories, rationality and the non-rationality, are compared and the discordance in their results discussed. The main contribution of this work is to show that an alternative is available to the EUT that is more suitable for human decision-makers modelling. The evidences show that rationality is not appropriated for modelling persons. Therefore, instead of fine-tuning the existent model the use of another one is proposed and evaluated. To tackle this, the route choice problem was adopted to perform the experiments. To evaluate the proposed model three traffic scenarios are simulated and their results analysed.
KW  - Mehragentensystem
KW  - Bestärkendes Lernen <Künstliche Intelligenz>
KW  - Q-Learning
KW  - Route Entscheidung
KW  - MASim
KW  - Prospect Theory
KW  - Q-Learning
KW  - Route Choice
KW  - Traffic
Y1  - 2009
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-40483
ER  -