Emotions and Their Effect on Cooperation Levels in N-Player Social Dilemma Games

Published In

Artificial Life and Computational Intelligence

Document Type

Citation

Publication Date

2015

Subjects

Artificial intelligence, Game theory, Emotions, Pattern perception

Abstract

Game theoretical social dilemma games provide a framework for studying how decisions are made in social dilemmas. It has been suggested emotions—e.g., anger or guilt—can influence the decision process. Recently two human experiments were conducted to gain insight into what effect, if any, emotions have on decision making in public goods and group competition games. In this paper we present a simple computer model that emulates those game-theoretical human experiments. Simulation results indicate anger and guilt have very different effects on decision making depending on the type of social dilemma under investigation.

Description

Appeared in Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015. Proceedings. Part of the series Lecture Notes in Computer Science. © Springer International Publishing.

Locate the Document

Researchers can access the work here: http://dx.doi.org/10.1007/978-3-319-14803-8_7

DOI

10.1007/978-3-319-14803-8_7

Persistent Identifier

http://archives.pdx.edu/ds/psu/16652

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