Benedikt V. Meylahn
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View article: Multi-agent reinforcement learning in the all-or-nothing public goods game on networks
Multi-agent reinforcement learning in the all-or-nothing public goods game on networks Open
We study interpersonal trust by means of the all-or-nothing public goods game between agents on a network. The agents are endowed with the simple yet adaptive learning rule, exponential moving average, by which they estimate the behavior o…
View article: How social reinforcement learning can lead to metastable polarisation and the voter model
How social reinforcement learning can lead to metastable polarisation and the voter model Open
Previous explanations for the persistence of polarization of opinions have typically included modelling assumptions that predispose the possibility of polarization (i.e., assumptions allowing a pair of agents to drift apart in their opinio…
View article: Opinion dynamics beyond social influence
Opinion dynamics beyond social influence Open
We present an opinion dynamics model framework discarding two common assumptions in the literature: (a) that there is direct influence between beliefs of neighboring agents, and (b) that agent belief is static in the absence of social infl…
View article: Trust in society: A stochastic compartmental model
Trust in society: A stochastic compartmental model Open
This paper studies a novel stochastic compartmental model that describes the dynamics of trust in society. The population is split into three compartments representing levels of trust in society: trusters, skeptics and doubters. The focus …
View article: How social reinforcement learning can lead to metastable polarisation and the voter model
How social reinforcement learning can lead to metastable polarisation and the voter model Open
Previous explanations for the persistence of polarization of opinions have typically included modelling assumptions that predispose the possibility of polarization (i.e., assumptions allowing a pair of agents to drift apart in their opinio…
View article: Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning
Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning Open
We study the interpersonal trust of a population of agents, asking whether chance may decide if a population ends up with high trust or low trust. We model this by a discrete time, stochastic coordination game with pairwise interactions oc…
View article: Trusting: Alone and together
Trusting: Alone and together Open
We study the problem of an agent continuously faced with the decision of placing or not placing trust in an institution. The agent makes use of Bayesian learning in order to estimate the institution’s true trustworthiness and makes the dec…
View article: Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning
Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning Open
We study the interpersonal trust of a population of agents, asking whether chance may decide if a population ends up in a high trust or low trust state. We model this by a discrete time, random matching stochastic coordination game. Agents…
View article: Opinion dynamics beyond social influence
Opinion dynamics beyond social influence Open
We present an opinion dynamics model framework discarding two common assumptions in the literature: (a) that there is direct influence between beliefs of neighbouring agents, and (b) that agent belief is static in the absence of social inf…
View article: Trusting: Alone and together
Trusting: Alone and together Open
We study the problem of an agent continuously faced with the decision of placing or not placing trust in an institution. The agent makes use of Bayesian learning in order to estimate the institution's true trustworthiness and makes the dec…
View article: The evolutionary spatial snowdrift game on a cycle: An asymptotic analysis
The evolutionary spatial snowdrift game on a cycle: An asymptotic analysis Open
The temporal dynamics of games have been studied widely in evolutionary spatial game theory using simulation. Each player is usually represented by a vertex of a graph and plays a particular game against every adjacent player independently…