DEVELOPING COMPETITION LAW FOR COLLUSION BY AUTONOMOUS ARTIFICIAL
AGENTS† | Journal of Competition Law & Economics | Oxford Academic Skip to Main Content …

The iterated prisoner ʼ s dilemma (IPD) is an ideal model for analyzing interactions between
agents in complex networks. It has attracted wide interest in the development of novel …

Stefan Stieglitz entwickelt einen Ordnungsrahmen, der einen systematischen Aufbau,
Betrieb und insbesondere eine Steuerung Virtueller Communities ermöglicht. Dazu …

The incorporation of learning into commercial games can enrich the player experience, but
may concern developers in terms of issues such as losing control of their game world. We …

The prisoner's dilemma is a type of non-zero-sum game in which two players try to maximize
their payoff by cooperating with, or betraying the other player. The term non-zero-sum …

Developing Competition Law for Collusion by Autonomous Price-Setting Agents∗ Page 1
Electronic copy available at: https://ssrn.com/abstract=3037818 Developing Competition Law …

We have proposed the utility-based Q-learning concept that supposes an agent internally
has an emotional mechanism that derives subjective utilities from objective rewards and the …

This paper examines the comparative performance and adaptability of evolutionary,
learning, and memetic strategies to different environment settings in the iterated prisoner's …

Learning controllers for the space combat game Xpilot is a difficult problem. Using
evolutionary computation to evolve the weights for a neural network could create an …

This paper focuses on the Noisy Iterated Prisoner's Dilemma, a version of the Iterated
Prisoner's Dilemma (IPD) in which there is a nonzero probability that a" cooperate" action …