Literature DB >> 20519698

Conflict and coordination in the provision of public goods: a conceptual analysis of continuous and step-level games.

Susanne Abele1, Garold Stasser, Christopher Chartier.   

Abstract

Conflicts between individual and collective interests are ubiquitous in social life. Experimental studies have investigated the resolution of such conflicts using public goods games with either continuous or step-level payoff functions. Game theory and social interdependence theory identify consequential differences between these two types of games. Continuous function games are prime examples of social dilemmas because they always contain a conflict between individual and collective interests, whereas step-level games can be construed as social coordination games. Step-level games often provide opportunities for coordinated solutions that benefit both the collective and the individuals. For this and other reasons, the authors conclude that one cannot safely generalize results obtained from step-level to continuous-form games (or vice versa). Finally, the authors identify specific characteristics of the payoff function in public goods games that conceptually mark the transition from a pure dilemma to a coordination problem nested within a dilemma.

Entities:  

Mesh:

Year:  2010        PMID: 20519698     DOI: 10.1177/1088868310368535

Source DB:  PubMed          Journal:  Pers Soc Psychol Rev        ISSN: 1532-7957


  3 in total

1.  Explaining the longitudinal interplay of personality and social relationships in the laboratory and in the field: The PILS and the CONNECT study.

Authors:  Katharina Geukes; Simon M Breil; Roos Hutteman; Steffen Nestler; Albrecht C P Küfner; Mitja D Back
Journal:  PLoS One       Date:  2019-01-30       Impact factor: 3.240

2.  Dilemma of dilemmas: how collective and individual perspectives can clarify the size dilemma in voluntary linear public goods dilemmas.

Authors:  Daniel B Shank; Yoshihisa Kashima; Saam Saber; Thomas Gale; Michael Kirley
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

3.  Improving the Survival Time of Multiagents in Social Dilemmas through Neurotransmitter-Based Deep Q-Learning Model of Emotions.

Authors:  Awais Hassan; Maida Shahid; Faisal Hayat; Jehangir Arshad; Mujtaba Hussain Jaffery; Ateeq Ur Rehman; Kalim Ullah; Seada Hussen; Habib Hamam
Journal:  J Healthc Eng       Date:  2022-01-25       Impact factor: 2.682

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.