Just as cloud computing created demand for orchestration platforms and DevOps tooling, agentic AI may now be creating demand ...
Enterprise AI has spent the last two years fixated on ever more powerful models. But a largely hidden layer is emerging ...
Abstract: Due to uncertainties in generation and load, optimal decision making in electrical energy markets is a complicated and challenging task. Participating agents in the market have to estimate ...
In this paper, we adapt a two-species agent-based cancer model that describes the interaction between cancer cells and healthy cells on a uniform grid to include the interaction with a third ...
The building materials industry ranks first in terms of carbon emissions and energy consumption within the industrial sector. To achieve the goal of reducing carbon emissions, the development of the ...
Abstract: The transition to agent-based competitive wholesale and retail markets for electric utilities around the world has been a difficult and controversial process. One of the difficulties that ...
The widespread incidence of cardiovascular diseases and associated mortality and morbidity, along with the advent of powerful computational resources, have fostered an extensive research in ...
Matlab code for full-information Bayesian inference in heterogeneous agent models using both (i) macro time series data and (ii) repeated cross sections of micro data ...
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