We present a semantic criterion for fairness notions for multiparty interaction. We show that if a fairness notion violates the criterion, then no deterministic algorithm for multiparty interaction scheduling can satisfy the fairness requirement. Conversely, the implementation is possible if the criterion is obeyed. Thus, the criterion is suucient and necessary to guarantee fairness implementab...

Algorithmic fairness aims to remedy issues stemming from algorithmic bias.

Recent research has found that fairness plays a key role in customer satisfaction. Fairness in an online context and how it influences customer satisfaction, however, has yet been investigated. This research examines satisfaction from a fairness lens and explores the mediators of fairness to satisfaction in the internet bank context. 131 surveys were analyzed and results show that in internet b...

TCP Westwood (TCPW) is a sender-side only modification of TCP Reno congestion control, which exploits end-to-end bandwidth estimation to properly set the values of slow-start threshold and congestion window after a congestion episode. This paper aims at showing via both mathematical modeling and extensive simulations that TCPW significantly improves fair sharing of high-speed networks capacity ...

The processes underlying decision-making in response to unfair offers in the ultimatum game (UG) have recently been discussed in light of models of reciprocity and fairness-related behavior. It has been suggested that behavior following norm-oriented, internalized expectations of reciprocity requires overcoming economic self-interest. In this study we investigated both, behavioral and periphera...

Plagiate und andere Fälle wissenschaftlichen Fehlverhaltens landen regelmäßig in den Medien geben auch Außenstehenden Einblicke problematische Forschungsprozesse. Während diese Skandale ein Schlaglicht auf offensichtliche oder absichtliche Fehler werfen, sind die alltäglichen Herausforderungen wissenschaftlicher Praxis weitaus komplexer. Die Autor*innen analysieren Vielschichtigkeit Verwobenhei...

Decisions made by various Artificial Intelligence (AI) systems greatly influence our day-to-day lives. With the increasing use of AI systems, it becomes crucial to know that they are fair, identify underlying biases in their decision-making, and create a standardized framework ascertain fairness. In this paper, we propose novel Fairness Score measure fairness data-driven system Standard Operati...

We point out de ciencies of previous treatments of liveness We de ne a new liveness condition in two forms one based on nite trace theory and the other on automata We prove the equivalence of these two de nitions We also intro duce a safety condition and provide modular and hierarchical veri cation theorems for both safety and liveness Finally we present a veri cation algorithm for liveness Ind...

In this paper, we propose the new proportional fair (PF) scheduling algorithm for the uplink MIMO-OFDM systems. The proposed PF scheduling algorithm selects users based on the channel matrix to allocate spatial channels in a subband. Simulation results show that the proposed PF scheduling algorithm achieves better fairness and higher throughput than conventional scheduling algorithms. Index Ter...