Concept
Agent-based model
Related publications (588)
Stochastic pairwise preference convergence in Bayesian agents
Beliefs inform the behaviour of forward-thinking agents in complex environments. Recently, sequential Bayesian inference has emerged as a mechanism to study belief formation among agents adapting to dynamical conditions. However, we lack critical theory to ...
2024Network-based kinetic models: Emergence of a statistical description of the graph topology
In this paper, we propose a novel approach that employs kinetic equations to describe the collective dynamics emerging from graph-mediated pairwise interactions in multi-agent systems. We formally show that for large graphs and specific classes of interact ...
Cambridge2024Social-Transmotion: Promptable Human Trajectory Prediction
Alexandre Massoud Alahi, Yang Gao, Kaouther Messaoud Ben Amor, Saeed Saadatnejad
Accurate human trajectory prediction is crucial for applications such as autonomous vehicles, robotics, and surveillance systems. Yet, existing models often fail to fully leverage the non-verbal social cues human subconsciously communicate when navigating ...
2024Quantitative measurement and comparison of breakthroughs inside the gas diffusion layer using lattice Boltzmann method and computed tomography scan
Jan Van Herle, Emad Oveisi, Hossein Pourrahmani, Hamza Moussaoui
In Proton Exchange Membrane Fuel Cells (PEMFCs), the presence of residual water within the Gas Diffusion Layer (GDL) poses challenges during cold starts and accelerates degradation. A computational model based on the Lattice Boltzmann Method (LBM) was deve ...
Nature Portfolio2024Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning
Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy a desired objective under minimal calls to oracles (computational property predictors). This problem becomes more apparen ...
Amer Chemical Soc2024An aircraft assembly process formalism and verification method based on semantic modeling and MBSE
The aircraft assembly system is highly complex involving different stakeholders from multiple domains. The design of such a system requires comprehensive consideration of various industrial scenarios aiming to optimize key performance indicators. Tradition ...
Elsevier Sci Ltd2024Analytical Model of Single-Sided Linear Induction Motors for High-Speed Applications
André Hodder, Lucien André Félicien Pierrejean, Simone Rametti
This article describes a field-based analytical model of single-sided linear induction motors (SLIMs) that explicitly considers the following effects altogether: finite motor length, magnetomotive force mmf space harmonics, slot effect, edge effect, and ta ...
2024Towards practical reinforcement learning for tokamak magnetic control
Federico Alberto Alfredo Felici, Cristian Galperti, Jonas Buchli, Brendan Tracey
Reinforcement learning (RL) has shown promising results for real-time control systems, including the domain of plasma magnetic control. However, there are still significant drawbacks compared to traditional feedback control approaches for magnetic confinem ...
Lausanne2024Modeling Mode-Dependent Lane Discipline in Hybrid Traffic
Nikolaos Geroliminis, Georgios Anagnostopoulos
Complex interactions can be observed in hybrid transportation systems, where cars share the same road space with other modes such as motorcycles, bicycles or even e-scooters. In this work we further built upon the concept of mode dependent lane discipline. ...
2024