200141 SE Vertiefungsseminar: Geist und Gehirn (2024W)
Intro to behavioral and neuro-economics
Prüfungsimmanente Lehrveranstaltung
Labels
Vertiefungsseminare können nur fürs Pflichtmodul B verwendet werden! Eine Verwendung fürs Modul A4 Freie Fächer ist nicht möglich.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 02.09.2024 09:00 bis Mi 25.09.2024 09:00
- Abmeldung bis Fr 11.10.2024 12:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 10.10. 16:45 - 20:00 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 24.10. 16:45 - 20:00 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 07.11. 16:45 - 20:00 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- N Donnerstag 21.11. 16:45 - 20:00 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 05.12. 16:45 - 20:00 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 16.01. 16:45 - 20:00 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
- Donnerstag 30.01. 16:45 - 20:00 Hörsaal E Psychologie, Liebiggasse 5 1. Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Students will be assessed based on a mix of short written essays and a structured debate. All assessments can be prepared at home, with only a single limitation on permitted aids: no chatGPT.
Mindestanforderungen und Beurteilungsmaßstab
Since a substantial part of the contents discussed during this course will deviate from a minimal reading of the assigned materials, active class participation will be required to be able to fully digest the wide range of novel topics discussed. Formal assessment will take place via two essays and a structured debate. In these assignments, students are required to provide a concise description of the learned materials, as well as offer a critical reflection on the topics discussed.
Prüfungsstoff
At the end of this course, the student is expected to:
• Have a basic understanding of where the fields of behavioral- and neuro-economics are situated within the broader social sciences.
• Have a basic understanding into the concept of “economic rationality”, as well as its place within both the economic and behavioral sciences.
• Have a basic understanding of how rational agents interact with each-other in a social context – that is, have a basic understanding of game theory.
• Be able to discuss the strengths and weaknesses of economic rationality and the application of game theory as a tool to understand social behavior.
• Be able to derive (on a superficial level) the rational benchmarks associated to economic behavior – as well as how to interpret empirical data against this benchmark.
• Be able to discuss the strengths, promises, pitfalls and weaknesses of the developing field of neuro-economics – as well as understand the logic behind a range of novel methods and paradigms in this field.
• Be able to concisely discuss and debate the pro’s and con’s of rational-agent models, game-theoretical approaches and the wider fields of behavioral- and neuro-economics.
• Have a basic understanding of where the fields of behavioral- and neuro-economics are situated within the broader social sciences.
• Have a basic understanding into the concept of “economic rationality”, as well as its place within both the economic and behavioral sciences.
• Have a basic understanding of how rational agents interact with each-other in a social context – that is, have a basic understanding of game theory.
• Be able to discuss the strengths and weaknesses of economic rationality and the application of game theory as a tool to understand social behavior.
• Be able to derive (on a superficial level) the rational benchmarks associated to economic behavior – as well as how to interpret empirical data against this benchmark.
• Be able to discuss the strengths, promises, pitfalls and weaknesses of the developing field of neuro-economics – as well as understand the logic behind a range of novel methods and paradigms in this field.
• Be able to concisely discuss and debate the pro’s and con’s of rational-agent models, game-theoretical approaches and the wider fields of behavioral- and neuro-economics.
Literatur
The minimum (required) reading will consist of a series of journal articles and reading provided by the teacher. The journal articles will be announced at the start of the course. The required reading will be split on a topic-by-topic basis, and articles are selected to provide a broad an easily accessible overview for the key concepts discussed during the topics. Additional recommended (optional) materials will also be provided, consisting of a series of journal articles and popular science books.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.10.2024 14:46
Since this course will be predominantly aimed at students coming from a behavioral science background (that is, psychology, neuroscience or the cognitive sciences), we will focus on the economics part of behavioral and neuro-economics. The course consists of three four blocks: one introduction block and 3 topic-specific blocks. During the first topic-specific block we will introduce and discuss the concept of economic rationality on an individual level: what is rational behavior, where are its historical origins, what place does it hold in economic theory and behavioral economics and finally, what are the limitations to rationality. In the second topic-specific block we will build upon rational behavior by exploring the implications of rational behavior for social interactions – that is, how rational principles help us to create a parsimonious framework to frame the interactions between multiple agents. Finally, in the third topic-specific block we will explore what is perhaps the newest field of decision-making research: neuro-economics (oftentimes also referred to as neuro-decision science). During this block we will explore how the combination of economic theories and novel tools in neuroscience can shed a new light on the cognitive processes that underlie our decisions.