Universität Wien

180176 KU Mechanistic philosophy of science (2019S)

5.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Mittwoch 13.03. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 20.03. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 27.03. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 03.04. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 10.04. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 08.05. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 15.05. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 22.05. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 29.05. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 05.06. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 12.06. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 19.06. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock
  • Mittwoch 26.06. 13:15 - 14:45 Hörsaal. 2H NIG 2.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

CONTENT:
Mechanistic philosophy has been the main paradigm of philosophy of biology for two decades. Recently, it has become increasingly under attack. Especially new modeling approaches within biological research such as network analysis and dynamic systems theory have challenged the mechanistic approach.

OBJECTIVES:
The course provides a comprehensive view into the recent discussion of mechanisms, especially within philosophy of biology and neuroscience. Having taken the course the students are able to follow the state-of-art discussion of mechanisms in philosophy of science. Through the discussion of the mechanistic philosophy, the students will also become familiar with other philosophical topics, such as explanation, causality, reductionism and unification.

METHODS:
Close reading and critical discussion of the literature (concepts, themes, arguments), written reflections of the articles, (co-)chairing the group discussion, and a short group presentation of an article of interest.

Art der Leistungskontrolle und erlaubte Hilfsmittel

ASSESSMENT:
Assessment is based on attendance, class participation and weekly assignments.

Mindestanforderungen und Beurteilungsmaßstab

REQUIREMENTS AND ASSESSMENT CRITERIA:
1. Active participation to the seminar
2. Reflections of weekly readings submitted to Moodle 24 hours before the class
3. Chairing class discussion
4. Presenting an article of your own choosing in the class

Prüfungsstoff

Literatur

BOOK:
Craver, Carl (2007). Explaining the Brain. Oxford: Oxford University Press.

JOURNAL ARTICLES (in Moodle)
Baetu, T. M. (2015). The completeness of mechanistic explanations. Philosophy of Science, 82(5), 775-786.

Drukarch et al. (2018). Thinking about the nerve impulse: A critical analysis of the electricity-centered conception of nerve excitability. Progress in Neurobiology.

Green, S., Şerban, M., Scholl, R., Jones, N., Brigandt, I., & Bechtel, W. (2017). Network analyses in systems biology: New strategies for dealing with biological complexity. Synthese1-27.

Knuuttila, T. T., & Loettgers, A. (2013). Synthetic modeling and the mechanistic account: Material recombination and beyond. Philosophy of Science, 80(5), 874-885.

Levy, A., & Bechtel, W. (2013). Abstraction and the organization of mechanisms. Philosophy of Science, 80(2), 241-261.

Love, A. C., & Nathan, M. J. (2015). The idealization of causation in mechanistic explanation. Philosophy of Science, 82(5), 761-774.

Machamer, P., Lindley, D., & Craver, C. F. (2000). Thinking about mechanisms. Philosophy of Science, 67(1), 1-25.

Rathkopf, C. 2018. “Network Representation and Complex Systems.” Synthese 195:55-8.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:36