Iterative integration of deep learning in hybrid Earth surface system modelling

M Chen, Z Qian, N Boers, AJ Jakeman… - Nature Reviews Earth & …, 2023‏ - nature.com
Earth system modelling (ESM) is essential for understanding past, present and future Earth
processes. Deep learning (DL), with the data-driven strength of neural networks, has …

[HTML][HTML] Agent-based modelling of social-ecological systems: achievements, challenges, and a way forward

J Schulze, B Müller, J Groeneveld… - Journal of Artificial …, 2017‏ - jasss.soc.surrey.ac.uk
Understanding social-ecological systems (SES) is crucial to supporting the sustainable
management of resources. Agent-based modelling is a valuable tool to achieve this …

Spatial simulation: a spatial perspective on individual-based ecology—a review

G Wallentin - Ecological Modelling, 2017‏ - Elsevier
Spatial Simulation is a spatially explicit, bottom-up modelling approach that includes
individual-based models and cellular automata. While spatial heterogeneity and individual …

Using agent-based modelling to simulate social-ecological systems across scales

M Lippe, M Bithell, N Gotts, D Natalini… - GeoInformatica, 2019‏ - Springer
Agent-based modelling (ABM) simulates Social-Ecological-Systems (SESs) based on the
decision-making and actions of individual actors or actor groups, their interactions with each …

Rethinking the role of agent-based modeling in archaeology

WH Cegielski, JD Rogers - Journal of Anthropological Archaeology, 2016‏ - Elsevier
Abstract Agent-Based Modeling (ABM) represents a methodology with significant potential
for altering archaeological analytical practice. The continued growth in the number of …

On code sharing and model documentation of published individual and agent-based models

MA Janssen, C Pritchard, A Lee - Environmental Modelling & Software, 2020‏ - Elsevier
Being able to replicate research results is the hallmark of science. Replication of research
findings using computational models should, in principle, be possible. In this manuscript, we …

Formalising theories of human decision-making for agent-based modelling of social-ecological systems: practical lessons learned and ways forward

N Schwarz, G Dressler, K Frank, W Jager… - Available at SSRN …, 2020‏ - papers.ssrn.com
Incorporating representations of human decision-making that are based on social science
theories into social-ecological models is considered increasingly important-yet choosing …

[HTML][HTML] No free lunch when estimating simulation parameters

E Carrella - Journal of Artificial Societies and Social …, 2021‏ - jasss.soc.surrey.ac.uk
In this paper, we have estimated the parameters of 41 simulation models to find which of 9
estimation algorithms performs better. Unfortunately, no single algorithm was the best for all …

[HTML][HTML] Width of surface rupture zone for thrust earthquakes: implications for earthquake fault zoning

P Boncio, F Liberi, M Caldarella… - Natural Hazards and …, 2018‏ - nhess.copernicus.org
The criteria for zoning the surface fault rupture hazard (SFRH) along thrust faults are defined
by analysing the characteristics of the areas of coseismic surface faulting in thrust …

Recommendations on the use of ecosystem modeling for informing ecosystem-based fisheries management and restoration outcomes in the Gulf of Mexico

A Grüss, KA Rose, J Simons, CH Ainsworth… - Marine and Coastal …, 2017‏ - Taylor & Francis
Ecosystem-based fisheries management (EBFM) and ecosystem restoration are gaining
momentum worldwide, including in US waters of the Gulf of Mexico (GOM). Ecosystem …