Behavioral Game Theory

Prof. Dr. Ralph-C. Bayer

Veranstaltung

Beschreibung

Abstract

Here is the proposed syllabus of a course in Behavioural Game The-

ory. The course.s main aim is to familiarise graduate students with

modern behavioural extensions to standard game theory. A prerequi-

sites is the knowledge of undergraduate-level game theory and some

standard mathematics for economists. A deeper knowledge of game

theory and some knowledge of experimental economics are desirable

but not necessarily required.

The syllabus is to be understood as the maximum content that

could be taught. It consists of 20 two-hour lectures. All the compo-

nents have been taught in various incarnations of the postgraduate

course .Behavioural Game Theory and Experiments. at the Univer-

sity of Adelaide .however never together in one year. A subset of the

full program could be chosen, depending on students prior knowledge

from existing courses and the desired number of teaching hours.

This course is more a course in game theory than in experimental

or behavioural economics. While seminal experimental .ndings will

be used to motivate theoretical concepts, the emphasis is on the the-

ory. Particular emphasis will be given to the process of extending

standard game theory. This will help interested students to improve

their own modelling skills (using behavioural or standard game-theory

tools).

There is no textbook for this course. The work is based on orig-

inal articles. The articles are supplemented by lecture notes, which

are designed to break down the often di¢ cult material to a manage-

able level for graduate students. The preferred teaching language is

English; Geman is possible though.

1 Introduction

1.1 Some thoughts on the methodology of Economics

.1 Lecture

1.2 Behavioural implications of standard assumptions

.1 Lecture

2 Part I: Non-Standard Preferences

2.1 Social preferences (Fehr/Schmidt, Bolton/Ockenfels,

Charness/Rabin) .3 Lectures

2.2 Payo¤-relevant beliefs (Geanakopolos/Pearce/Stachetti,

Rabin, Dufwenberg/Kirchsteiger, Falk/Fischbacher)

.3 Lectures

2.3 History-dependent concerns for others (Cox/Friedman/Gjerstad)

.1 Lecture

2.4 Reference-dependent preferences (Kahneman/Tversky,

Rabin/Koszegi) .2 Lectures

3 Part II: Bounded Rationality

3.1 Noisy EquilibriumConcepts (Radner,McKelvey/Palfrey)

.2 Lectures

3.2 Cognitive Hierarchy Models of Bounded Rational-

ity (Stahl/Wilson, Goeree/Holt) .2 Lectures

4 Part III: Learning

4.1 Reinforcement Learning (Erev/Roth) .1 Lecture

4.2 Experience weighted attraction learning (Camerer/Ho-

Teck) .1 Lecture

4.3 Learning direction Theory (Selten) .1 Lecture

4.4 Belief learning and its extensions (Fudenberg/Levine,

Sarin/Varhid, Bayer/Wu) .2 Lectures

Allgemeine Angaben

  • Kurzbezeichnung
    20-201.26
  • Semester
    Wintersemester 15/16
  • Zielgruppen
    WiSo Promotionsstudiengang
  • Veranstaltungsart
    Seminar
  • Veranstaltungssprache
    Englisch
  • Einrichtungen
    Fakultät für Wirtschafts- und Sozialwissenschaften

Ort und Zeit

Termin
  • Ort
    Von Melle Park 9 Raum A316
  • Zeit
    vom 04.11.2015 wöchentlich mittwochs bis 25.11.2015 von 12:00 bis 16:00
    außer Mittwoch 11.11.2015
Termin
  • Ort
    Von Melle Park 9 Raum A215
  • Zeit
    vom 05.11.2015 wöchentlich donnerstags bis 05.11.2015 von 09:00 bis 13:00
Termin
  • Ort
    Von Melle Park 9 Raum A510
  • Zeit
    vom 06.11.2015 bis 06.11.2015 von 09:00 bis 13:00
Termin
  • Ort
    Von Melle Park 9 Raum A507
  • Zeit
    vom 19.11.2015 bis 19.11.2015 von 09:00 bis 13:00
Termin
  • Ort
    Von Melle Park 9 Raum B 537
  • Zeit
    vom 26.11.2015 bis 26.11.2015 von 09:00 bis 13:00

Anrechnungsmodalitäten

  • Anzahl SWS
    2
  • Anzahl Leistungspunkte
    4
  • Anrechenbar als
    • WiSo Promotionsstudiengang: WiSo Theorien für Sozialwissenschaften
    • WiSo Promotionsstudiengang: WiSo Theorien für Sozialökonomie
    • WiSo Promotionsstudiengang: WiSo Theorien für Volkswirtschaftslehre

Anmeldemodalitäten

  • Art der Platzvergabe
    Manuelle Platzvergabe (nach Ende der Anmeldefrist)
  • Anmeldeinformation
  • Max. Anzahl Teilnehmer
    20