Challenges, tasks, and opportunities in modeling agent-based complex systems
Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …
at all levels. Yet virtually all these challenges can be traced back to the decision and …
Smart agent-based modeling: On the use of large language models in computer simulations
Computer simulations offer a robust toolset for exploring complex systems across various
disciplines. A particularly impactful approach within this realm is Agent-Based Modeling …
disciplines. A particularly impactful approach within this realm is Agent-Based Modeling …
ODD+ 2D: An ODD based protocol for mapping data to empirical ABMs
A Laatabi, N Marilleau, T Nguyen-Huu, H Hbid… - Journal of Artificial …, 2018 - jasss.org
The quantity of data and processes used in modeling projects has been dramatically
increasing in recent years due to the progress in computation capability and to the popularity …
increasing in recent years due to the progress in computation capability and to the popularity …
A framework for data-driven agent-based modelling of agricultural land use
Agent-based models (ABMs) are particularly suited for simulating the behaviour of
agricultural agents in response to land use (LU) policy. However, there is no evidence of …
agricultural agents in response to land use (LU) policy. However, there is no evidence of …
Data assimilation in agent based simulation of smart environments using particle filters
M Wang, X Hu - Simulation Modelling Practice and Theory, 2015 - Elsevier
Agent-based simulations are useful for studying people's movement and to help making
decisions in situations like emergency evacuation in smart environments. These agent …
decisions in situations like emergency evacuation in smart environments. These agent …
The psychometric house-of-mirrors: the effect of measurement distortions on agent-based models' predictions
D Carpentras, M Quayle - International Journal of Social Research …, 2023 - Taylor & Francis
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions','
stubbornness','happiness', etc. The measurement process for these constructs is quite …
stubbornness','happiness', etc. The measurement process for these constructs is quite …
[HTML][HTML] Data-driven agent-based modelling of incentives for carbon sequestration: The case of sown biodiverse pastures in Portugal
Sown biodiverse permanent pastures rich in legumes (SBP) offset animal farming emissions
due to their potential to sequester carbon. From 2009 to 2014 Portugal implemented a …
due to their potential to sequester carbon. From 2009 to 2014 Portugal implemented a …
Injecting data into agent-based simulation
Many agent-based models, use standard distributions in several steps of the design:
configuring the initial conditions of simulations, distributing objects spatially, and …
configuring the initial conditions of simulations, distributing objects spatially, and …
How polarization extends to new topics: An agent-based model derived from experimental data
Polarization is a key phenomenon which has been linked to increasing disliking between
people of opposite political groups. Furthermore, polarization can extend to new topics such …
people of opposite political groups. Furthermore, polarization can extend to new topics such …
When does simulated data match real data? Comparing model calibration functions using genetic algorithms
F Stonedahl, W Rand - Advances in Computational Social Science: The …, 2014 - Springer
Agent-based models can be calibrated to replicate real-world data sets, but choosing the
best set of parameters to achieve this result can be difficult. To validate a model, the real …
best set of parameters to achieve this result can be difficult. To validate a model, the real …