activity
20182022
most citedConceptualizing World-Earth System resilience: Exploring transformation pathways towards a safe and just operating space for humanity

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

physics.soc-ph20221 cited

Conceptualizing World-Earth System resilience: Exploring transformation pathways towards a safe and just operating space for humanity

John M. Anderies, Wolfram Barfuss, Jonathan F. Donges +3

We develop a framework within which to conceptualize World-Earth System resilience. Our notion of World-Earth System resilience emphasizes the need to move beyond the basin of attr…

physics.soc-ph2019

Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World-Earth modeling framework

Jonathan F. Donges, Jobst Heitzig, Wolfram Barfuss +9

Analysis of Earth system dynamics in the Anthropocene requires to explicitly take into account the increasing magnitude of processes operating in human societies, their cultures, e…

physics.soc-ph2019

Deep reinforcement learning in World-Earth system models to discover sustainable management strategies

Felix M. Strnad, Wolfram Barfuss, Jonathan F. Donges +1

Increasingly complex, non-linear World-Earth system models are used for describing the dynamics of the biophysical Earth system and the socio-economic and socio-cultural World of h…

physics.soc-ph2019

The physics of governance networks: critical transitions in contagion dynamics on multilayer adaptive networks with application to the sustainable use of renewable resources

Fabian Geier, Wolfram Barfuss, Marc Wiedermann +2

Adaptive networks are a versatile approach to model phenomena such as contagion and spreading dynamics, critical transitions and structure formation that emerge from the dynamic co…

physics.bio-ph2019

Geometric effects in random assemblies of ellipses

Jakov Lovrić, Sara Kaliman, Wolfram Barfuß +2

Assemblies of anisotropic particles commonly appear in studies of active many-body systems. However, in two dimensions, the geometric ramifications of the finite density of such ob…

cs.MA2018

Deterministic limit of temporal difference reinforcement learning for stochastic games

Wolfram Barfuss, Jonathan F. Donges, Jürgen Kurths

Reinforcement learning in multiagent systems has been studied in the fields of economic game theory, artificial intelligence and statistical physics by developing an analytical und…