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20082026
most citedComparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer

74 citations · 96 across the 26 of their papers we have counts for

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6 papers · 1 filter

cs.MA2026

Large Language Models as Supervised Extraction Assistants: Lowering the Barrier to Documentation Standard Adoption in Agent-Based Modelling

Peer-Olaf Siebers, Christopher Frantz

Agent-Based Modelling (ABM) relies on clear documentation to ensure credibility and transparency. Although standards exist for documenting models (e.g. ODD), processes (e.g. TRACE,…

cs.MA2025

Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle

Loïs Vanhée, Melania Borit, Peer-Olaf Siebers +8

The emergence of Large Language Models (LLMs) with increasingly sophisticated natural language understanding and generative capabilities has sparked interest in the Agent-based Mod…

cs.MA2019

Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health

Daniel Stroud, Christian Wagner, Peer-Olaf Siebers

The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are sto…

cs.MA2014★ 74 cited

Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer

Grazziela P Figueredo, Peer-Olaf Siebers, Markus R Owen +2

There is great potential to be explored regarding the use of agent-based modelling and simulation as an alternative paradigm to investigate early-stage cancer interactions with the…

cs.MA2014★ 1 cited

Modelling Electrical Car Diffusion Based on Agents

Lei Yu, Tao Zhang, Peer-Olaf Siebers +1

Replacing traditional fossil fuel vehicles with innovative zero-emission vehicles for the transport in ci ties is one of the major tactics to achieve the UK government 2020 target…

cs.MA2010

Simulating Customer Experience and Word Of Mouth in Retail - A Case Study

Peer-Olaf Siebers, Uwe Aickelin, Helen Celia +1

Agents offer a new and exciting way of understanding the world of work. In this paper we describe the development of agent-based simulation models, designed to help to understand t…