Tootfinder

A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
R. W. S. Pessoa, M. H. N{\ae}ss, J. C. Bijos, C. M. Rebello, D. Colombo, L. Schnitman, I. B. R. Nogueira
https://arxiv.org/abs/2510.09688

A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
This paper presents a hybrid approach to predict the evolution of technological maturity in R and D projects, using the oil and gas sector as an example. Integrating System Dynamics (SD) and Agent Based Modelling (ABM) allows the proposed multi level framework to capture uncertainties in work effort, team size, and project duration, which influence technological progress. While AB SD hybrid models are established in other fields, their use in R and D remains limited. The model combines system l…

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Agent Based Simulators for Epidemic Modelling: Simulating Larger Models Using Smaller Ones
Daksh Mittal, Sandeep Juneja

Replaced article(s) found for cs.MA. https://arxiv.org/list/cs.MA/new
[1/1]:
- Agent-Based Modelling for Real-World Stock Markets under Behavioral Economic Principles
He, Zhu, Lu, Xu, Liu, Liu, Lin, Chan, Bian

Correlated cell movements drive epithelial finger formation
Sander C. Kammeraat, Yann-Edwin Keta, Paul Appleton, Ian P. Newton, Tanniemola B. Liverpool, Rastko Sknepnek, Inke N\"athke, Silke Henkes
https://arxiv.org/abs/2508.01046

Correlated cell movements drive epithelial finger formation
Epithelia form protective barriers in multicellular organisms. To maintain homeostasis, they must be able to regenerate and heal damaged areas. This occurs through collective cell migration, during which finger-like protrusions commonly appear. Whether these protrusions are driven by specialised leader cells, biochemical cues, or generic physical interactions remains unclear. Integrating in vitro imaging, agent-based simulations, and continuum modelling, we show that correlated active cell moti…

Replicating the behaviour of electric vehicle drivers using an agent-based reinforcement learning model
Zixin Feng, Qunshan Zhao, Alison Heppenstall
https://arxiv.org/abs/2507.21341

Replicating the behaviour of electric vehicle drivers using an agent-based reinforcement learning model
Despite the rapid expansion of electric vehicle (EV) charging networks, questions remain about their efficiency in meeting the growing needs of EV drivers. Previous simulation-based approaches, which rely on static behavioural rules, have struggled to capture the adaptive behaviours of human drivers. Although reinforcement learning has been introduced in EV simulation studies, its application has primarily focused on optimising fleet operations rather than modelling private drivers who make ind…

Generating Plans for Belief-Desire-Intention (BDI) Agents Using Alternating-Time Temporal Logic (ATL)
Dylan L\'eveill\'e (Carleton University)
https://arxiv.org/abs/2509.15238

Generating Plans for Belief-Desire-Intention (BDI) Agents Using Alternating-Time Temporal Logic (ATL)
Belief-Desire-Intention (BDI) is a framework for modelling agents based on their beliefs, desires, and intentions. Plans are a central component of BDI agents, and define sequences of actions that an agent must undertake to achieve a certain goal. Existing approaches to plan generation often require significant manual effort, and are mainly focused on single-agent systems. As a result, in this work, we have developed a tool that automatically generates BDI plans using Alternating-Time Temporal …