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URN: urn:nbn:de:bvb:20-opus-40483
URL: http://opus.bibliothek.uni-wuerzburg.de/volltexte/2009/4048/

Prospect Theory Multi-Agent Based Simulations for Non-Rational Route Choice Decision Making Modelling

Prospect Theorie basierte Multi-Agenten Simulationen für nicht-rationalle Route Entscheidung Modellierung

Kuhn Andriotti, Gustavo

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SWD-Schlagwörter:		Mehragentensystem , Bestärkendes Lernen <Künstliche Intelligenz>
Freie Schlagwörter (Deutsch):		Q-Learning , Route Entscheidung
Freie Schlagwörter (Englisch):		MASim , Prospect Theory , Q-Learning , Route Choice , Traffic
Institut:		Institut für Informatik
Fakultät:		Fakultät für Mathematik und Informatik
DDC-Sachgruppe:		Mathematik
Dokumentart:		Dissertation
Erstgutachter:		Seipel, Dietmar (Prof. Dr.)
Sprache:		Englisch
Tag der mündlichen Prüfung:		20.11.2009
Erstellungsjahr:		2009
Publikationsdatum:		25.11.2009
Kurzfassung auf Englisch:		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.