New versions and extensions of Benson’s outer approximation algorithm for solving linear vector optimization problems are presented. Primal and dual variants are provided in which only one scalar linear program has to be solved in each iteration rather than two or three as in previous...

We use a genetic algorithm to simulate the evolution of error-prone finite automata in the repeated Prisoner’s Dilemma game. In particular, the automata are subjected to implementation and perception errors. The computational experiments examine whether and how the distribution of outcomes and...

Gradient-based approaches to direct policy search in reinforcement learning have received much recent attention as a means to solve problems of partial observability and to avoid some of the problems associated with policy degradation in value-function methods. In this paper we introduce GPOMDP,...

Der vorliegende Beitrag analysiert, wie Organisationen Algorithmen, die wir als digitale Beobachtungsformate verstehen, mit Handlungsfähigkeit ausstatten und damit actionable machen. Das zentrale Argument lautet, dass die soziale Relevanz digitaler Beobachtungsformate sich daraus ergibt, dass...

The hyper-targeted advertising that emerged on digital platforms over the past two decades is now more productively understood as tuned advertising, a dynamic and unfolding process where ads are continuously algorithmically "optimised" to users in real time. Following Rieder and Hofmann (2020),...

The paper contributes to the further development of platform studies by looking at the early stages of development. It draws on insights from an exemplary research and innovation project that aimed to develop a "diversity-aware online social platform". The article takes a co- productive stance....