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This paper addresses the critical integration of electric vehicles (EVs) into the electricity grid, which is essential for achieving carbon neutrality by 2050. The rapid increase in EV adoption poses significant challenges to the existing grid ...

Emerging ML/AI hardware accelerators, like the 850,000 processor Cerebras Wafer-Scale Engine (WSE), hold great promise to scale up the capabilities of evolutionary computation. However, challenges remain in maintaining visibility into underlying ...

In district-based multi-party elections, electors cast votes in their respective districts. In each district, the party with maximum votes wins the corresponding "seat" in the governing body. Election Surveys try to predict the election outcome (vote ...

Although predictive AI models have grown to dominate computational finance, they are often limited in their applications when it comes to studying interventions and explaining behavioral outcomes. Financial economics, on the other hand, has a rich ...

Between 1276 and 1318, English magnates unsuccessfully attempted to establish a lordship in the Irish kingdom of Thomond, southwestern Ireland, by exploiting a dynastic feud dividing the then-ruling lineage, the Uí Bhriain. The conflict coincided with a ...

With advancements in distributed ledger technologies and smart contracts, tokenized voting rights gained prominence within decentralized finance (DeFi). Voting rights tokens (a.k.a. governance tokens) are fungible tokens that grant individual holders the ...

Pedestrian traffic in a city is subject to fluctuations throughout the day due to a variety of factors. The understanding of these variations can be achieved using properly calibrated agent-based simulation models that capture the dynamics of pedestrian ...

Electric vehicles are expected to significantly contribute to CO2-eq. emissions reduction, but the increasing number of EVs also introduces challenges to the energy system, and to what extent it contributes to achieving climate goals remains ...

Data-driven design for cities is improving the quality of everyday life of citizens and optimizes the usage of resources. A new aspect is artificial intelligence, which Smart Cities could greatly benefit from. A central problem for urban designers is ...

Financial benchmarks estimate market values or reference rates used in a wide variety of contexts, but are often calculated from data generated by parties who have incentives to manipulate these benchmarks. Since the LIBOR scandal in 2011, market ...

Many decisions people face in their lives are made in the context of dynamic environments. Understanding how humans learn to make these decisions and being able to predict their choices is a challenging and important goal of computational cognitive ...

This paper presents results from in silico experiments trying to uncover the mechanisms by which people both succeed and fail to reach consensus in networked games. We find that the primary cause for failure in such games is preferential selection ...

The Creator Economy faces concerning levels of unfairness. Content creators (CCs) publicly accuse platforms of purposefully reducing the visibility of their content based on protected attributes, while platforms place the blame on viewer biases. ...

Combining a spatiotemporal, multi-agent based model of a foraging ecosystem with linear, genetically programmed rules for the agents' behaviors results in implicit, endogenous, objective functions and selection algorithms based on "natural selection". ...

We revisit literature about school choice and school segregation from the perspective of complexity theory. This paper argues that commonly found features of complex systems are all present in the mechanisms of school segregation. These features ...

Simulation is a useful and effective way to analyze and study complex, real-world systems. It allows researchers, practitioners, and decision makers to make sense of the inner working of a system that involves many factors often resulting in some ...

In recent years, algorithms have been incorporated into fact-checking pipelines. They are used not only to flag previously fact-checked misinformation, but also to provide suggestions about which trending claims should be prioritized for fact-checking - ...

Existing literature on crowd modeling focuses on only the decision-making of walking behavior. To construct more practical simulations, we generalize and propose a crowd simulation framework that includes actual crowd movement measurements, route choice ...

In district-based elections, voters cast votes in their respective districts. In each district, the party with maximum votes wins the corresponding "seat" in the governing body. The election result is based on the number of seats won by different ...

Previous investigations into creative and innovation networks have suggested that intellectual, artistic, and technological innovations often occur with the interaction of core and peripheral actors, with both individuals and teams at intermediary ...