activity
20212026
most citedLearning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Trust or Check? Understanding the (Evolutionary) Dynamics of User Trust in AI Systems

Adeela Bashir, Zhao Song, Ndidi Bianca Ogbo +21

As the capabilities and adoption of Artificial Intelligence (AI) systems grow, trust in these AI systems is an increasingly urgent concern. Much research has focused on models of A…

cs.MA2026

Fairness Dynamics in Digital Economy Platforms with Biased Ratings

J. Martin Smit, Fernando P. Santos

The digital services economy consists of online platforms that facilitate interactions between service providers and consumers. This ecosystem is characterized by short-term, often…

cs.CY2025

Simulated Affection, Engineered Trust: How Anthropomorphic AI Benefits Surveillance Capitalism

Adele Olof-Ors, Martin Smit

In this paper, we argue that anthropomorphized technology, designed to simulate emotional realism, are not neutral tools but cognitive infrastructures that manipulate user trust an…

cs.MA2024★ 2 cited

Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity

Martin Smit, Fernando P. Santos

Altruistic cooperation is costly yet socially desirable. As a result, agents struggle to learn cooperative policies through independent reinforcement learning (RL). Indirect recipr…

cs.GT2021★ 1 cited

A Case Study of Agent-Based Models for Evolutionary Game Theory

Jacobus Smit, Ed Plumb

Evolutionary game theory is a mathematical toolkit to analyse the interactions that an individual agent has in a population and how the composition of strategies in this population…