Research perspectives on animal health in the era of artificial intelligence
Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to
address highly complex issues such as those encountered in quantitative and predictive …
address highly complex issues such as those encountered in quantitative and predictive …
[HTML][HTML] A review of multilevel modeling and simulation for human mobility and behavior
Multilevel modeling and simulation is a general technique that has many applications in
such diverse fields as chemistry, biology, engineering, social sciences and economics …
such diverse fields as chemistry, biology, engineering, social sciences and economics …
EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology
Stochastic mechanistic epidemiological models largely contribute to better understand
pathogen emergence and spread, and assess control strategies at various scales (from …
pathogen emergence and spread, and assess control strategies at various scales (from …
A modular hybrid simulation framework for complex manufacturing system design
For complex manufacturing systems, the current hybrid Agent-Based Modelling and Discrete
Event Simulation (ABM–DES) frameworks are limited to component and system levels of …
Event Simulation (ABM–DES) frameworks are limited to component and system levels of …
Comparative evaluation of road traffic simulators based on modeler's specifications: An application to intermodal mobility behaviors
AO Diallo, G Lozenguez, A Doniec… - … Conference on Agents …, 2021 - uphf.hal.science
Today, large cities and peri-urban areas experience problems in the mobility of their
population. Faced with this problem, decision-makers must have reliable tools to help them …
population. Faced with this problem, decision-makers must have reliable tools to help them …
Predictive agent-based crowd model design using decentralized control systems
C Berceanu, I Banu, BS Husebo… - IEEE Systems …, 2022 - ieeexplore.ieee.org
As a complex system, crowd dynamics emerge bottom-up from the local interactions
between pedestrians as component subsystems. This article proposes a predictive agent …
between pedestrians as component subsystems. This article proposes a predictive agent …
Agent action diagram: Toward a model for emergency management system
X Li, W Pu, X Zhao - Simulation Modelling Practice and Theory, 2019 - Elsevier
Agent-based modeling (ABM) has become a useful tool in describing microcosmic action
mode of emergency management system (EMS). However, one of key challenges in multi …
mode of emergency management system (EMS). However, one of key challenges in multi …
Handling multiple levels in agent-based models of complex socio-environmental systems: A comprehensive review
Agent-based modeling (ABM) has been successfully used, since its emergence in the
1990s, to model and simulate the dynamics at work in complex socio-environmental …
1990s, to model and simulate the dynamics at work in complex socio-environmental …
Combining SD and ABM: Frameworks, Benefits, Challenges, and Future Research Directions
Abstract System Dynamics (SD) and Agent-Based Modelling (ABM) are two commonly used
simulation methods with different characteristics and benefits. When tackling a complex …
simulation methods with different characteristics and benefits. When tackling a complex …
[HTML][HTML] Designing a pattern language to enhance model composability and reusability: An example with component-based probabilistic models
This paper presents a pattern language for developing Object-Oriented Bayesian Networks
(OOBN), as a member of the component-based probabilistic models family, to tackle …
(OOBN), as a member of the component-based probabilistic models family, to tackle …