Rubin, Hannah and O'Connor, Cailin and Bruner, Justin (2018) Experimental Economics for Philosophers. [Preprint]

Preview

Text Experimental Economics for Philosophers, FINAL.pdf Download (666kB) | Preview

Abstract

Recently, game theory and evolutionary game theory - mathematical frameworks from economics and biology designed to model and explain interactive behavior - have proved fruitful tools for philosophers in areas such as ethics, philosophy of language, social epistemology, and political philosophy. This methodological osmosis is part of a trend where philosophers have blurred disciplinary lines to import the best epistemic tools available. In this vein, experimental philosophers have drawn on practices from the social sciences, and especially from psychology, to expand philosophy's grasp on issues from morality to consciousness. We argue that the recent prevalence of formal work on human interaction in philosophy opens the door for new methods in experimental philosophy. In particular, we discuss methods from experimental economics, focusing on a small literature we have been developing investigating signaling and communication in humans. We describe results from a novel experiment showing how environmental structure can shape signaling behavior.

---

Export/Citation:

EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL

Social Networking:

Share |

---

Item Type:	Preprint
Creators:	Creators Email ORCID Rubin, Hannah hannahr@uci.edu O'Connor, Cailin cailino@uci.edu Bruner, Justin justin.bruner@anu.edu.au
Keywords:	experimental, economics, philosophy, game theory, evolutionary game theory, signaling game, signaling, sim-max game
Subjects:	Specific Sciences > Economics General Issues > Experimentation General Issues > Models and Idealization
Depositing User:	Dr. Cailin O'Connor
Date Deposited:	12 Feb 2018 14:00
Last Modified:	16 May 2018 23:37
Item ID:	14378
Subjects:	Specific Sciences > Economics General Issues > Experimentation General Issues > Models and Idealization
Date:	16 May 2018
URI:	https://philsci-archive.pitt.edu/id/eprint/14378

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item