How Much Does Users' Psychology Matter in Engineering Mean-Field-Type Games

02/17/2017
by   Giulia Rossi, et al.
0

Until now mean-field-type game theory was not focused on cognitively-plausible models of choices in humans, animals, machines, robots, software-defined and mobile devices strategic interactions. This work presents some effects of users' psychology in mean-field-type games. In addition to the traditional "material" payoff modelling, psychological patterns are introduced in order to better capture and understand behaviors that are observed in engineering practice or in experimental settings. The psychological payoff value depends upon choices, mean-field states, mean-field actions, empathy and beliefs. It is shown that the affective empathy enforces mean-field equilibrium payoff equity and improves fairness between the players. It establishes equilibrium systems for such interactive decision-making problems. Basic empathy concepts are illustrated in several important problems in engineering including resource sharing, packet collision minimization, energy markets, and forwarding in Device-to-Device communications. The work conducts also an experiment with 47 people who have to decide whether to cooperate or not. The basic Interpersonal Reactivity Index of empathy metrics were used to measure the empathy distribution of each participant. Android app called Empathizer is developed to analyze systematically the data obtained from the participants. The experimental results reveal that the dominated strategies of the classical game theory are not dominated any more when users' psychology is involved, and a significant level of cooperation is observed among the users who are positively partially empathetic.

READ FULL TEXT

page 6

page 33

page 34

research
11/19/2021

Modeling Presymptomatic Spread in Epidemics via Mean-Field Games

This paper is concerned with developing mean-field game models for the e...
research
08/22/2022

Learning Correlated Equilibria in Mean-Field Games

The designs of many large-scale systems today, from traffic routing envi...
research
10/20/2022

Mean field teams and games with correlated types

Mean field games have traditionally been defined [1,2] as a model of lar...
research
12/17/2018

Semi-Explicit Solutions to some Non-Linear Non-Quadratic Mean-Field-Type Games: A Direct Method

This article examines the solvability of mean-field-type game problems b...
research
01/16/2020

Sequential decomposition of graphon mean field games

In this paper, we present a sequential decomposition algorithm to comput...
research
04/23/2019

Matrix-Valued Mean-Field-Type Games: Risk-Sensitive, Adversarial, and Risk-Neutral Linear-Quadratic Case

In this paper we study a class of matrix-valued linear-quadratic mean-fi...
research
06/05/2021

Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations

Valuation problems, such as attribution-based feature interpretation, da...

Please sign up or login with your details

Forgot password? Click here to reset