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Problem definition: The loyalty penalty refers to a pricing strategy where companies charge higher prices to loyal customers for exploitation while offering lower prices to nonloyal customers for attraction. To address this unfair business practice, ...

This competition abstract provides a brief introduction to the AbstractSwarm Multi-Agent Logistics Competition, which runs in 2024 in the fourth year in series at the Genetic and Evolutionary Computation Conference (GECCO) and has been part of the IEEE ...

This 2-page extended abstract gives a short overview of the Dyn-Stack competition, which has been hosted at the Genetic and Evolutionary Computation Conference (GECCO) since 2020. The challenge is to generate optimized solutions for one of three ...

We consider a competitive information design game in which there are multiple senders vie for the selection of a risk-neutral receiver by disclosing information about their individual state realizations. The receiver aims to select the sender who has the ...

Data sharing in the European Union (EU) has gained new momentum, among others for machine learning (ML) and artificial intelligence (AI) training purposes. By enabling models’ training whilst preserving the privacy of data, Privacy Enhancing Technologies ...

The landscape of human interaction has undergone a profound transformation since the advent of Online Social Networks (OSNs). Not only are they changing interpersonal dynamics, but they are also redefining the way businesses, political figures, and ...

Problem definition: In practice, consumers are directly or indirectly connected with branded manufacturers through intermediaries across industries. In this paper, we explore the effects of different selling formats on product quality and price depending ...

In multiplayer gaming, skill disparity can lead to frustrating and excluding experiences. Balancing approaches exist to level the playing field (e.g., providing aim assistance to low-performing players), but it is unclear how different design choices ...

Encouraging students to complete practice questions is challenging, especially with numerous distractions and the capabilities of generative AI. Although there are a variety of techniques and systems for synchronous question answering, these systems are ...

The workshop on Applied Verification for Continuous and Hybrid Systems (ARCH) is an annual venue for researchers and practitioners working on automated analysis and verification of hybrid systems. ARCH-COMP is a friendly competition held with the ...

Digital platforms share their customers’ data with social planners, who may utilize it to improve socioeconomic infrastructure. This may benefit customers because of the experience of improved infrastructure. On the contrary, it may lead to privacy ...

In 2022, the IEEE Computer Society provided funding for a hardware-security based Capture the Flag competition. This paper reports my experiences orchestrating the CTF and draws comparisons to two software-security based CTFs at the same institution in ...

The paper uses aspirations mentioned in the initial research on machine learning decentralization as a lens for examining the current state-of-the-art and exposing opportunities for future innovations. We explore the potential and limitations of ...

Robots and humans interact in different settings, typically encompassing tasks with cooperation and competition. However, research in human-human interaction indicates that a combination of both might be most beneficial for enjoyment and task ...

Problem definition: For many information goods, longer publication cycles (or batches of information) are more economical, but often result in less timely—and, therefore, less valuable—information. Whereas the digitalization of publication processes has ...

This paper develops and tests a theory of organizational learning, proposing that prior competitive interaction improves coordination among teammates. We test the theory using millions of experiments in the formation of eSports teams. The results show ...

As the US healthcare system transitions from volume to value, various value‐based programs tie medical reimbursements to hospital performance relative to national top performers (i.e., benchmarks). However, prior studies report very limited ...

The CADE ATP System Competition (CASC) is the annual evaluation of fully automatic, classical logic, Automated Theorem Proving (ATP) systems – the world championship for such systems. CASC-29 was the twenty-eighth competition in the CASC series. Twenty-...

This study tests the hypothesis that competitive strategic interactions foster overconfidence. We experimentally compare a strategic environment in which players have an incentive to overstate their own ability to deter competitors and avoid competition ...

Risk Sensitivity and Firm Power: Price Competition with Mean²-Variance Profit Objective Under Multinomial Logit Demand

Firms with varying degrees of risk sensitivity perceive the same stochastic profit prospect differently. It is important to understand ...

This paper is the first in the literature to address a risk-sensitive price competition under the multinomial logit choice model, with each participating firm maximizing a risk-adjusted profit objective. We find that, at equilibrium, a subset of firms ...