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Found 12 papers, 4 papers with code
Non-maximizing policies that fulfill multi-criterion aspirations in expectation
In dynamic programming and reinforcement learning, the policy for the sequential decision making of an agent in a stochastic environment is usually determined by expressing the goal as a scalar reward function and seeking a policy that maximizes the expected total reward.
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Foundation models such as GPT-4 are fine-tuned to avoid unsafe or otherwise problematic behavior, such as helping to commit crimes or producing racist text.
Improving International Climate Policy via Mutually Conditional Binding Commitments
This paper proposes enhancements to the RICE-N simulation and multi-agent reinforcement learning framework to improve the realism of international climate policy negotiations.
Improving International Climate Policy via Mutually Conditional Binding Commitments
The Paris Agreement, considered a significant milestone in climate negotiations, has faced challenges in effectively addressing climate change due to the unconditional nature of most Nationally Determined Contributions (NDCs).
Statistical Analysis of Tipping Pathways in Agent-Based Models
Agent-based models are a natural choice for modeling complex social systems.
Dimensionality Reduction
Physics and Society
Moving the epidemic tipping point through topologically targeted social distancing
Modeling the disease as a spreading process on a social graph, social distancing can be modeled by removing some of the graphs links.
Physics and Society
Anticipation-induced social tipping -- Can the environment be stabilised by social dynamics?
Acknowledging that societies have the additional capability for foresight, this work proposes a conceptual feedback model of socio-ecological co-evolution with the specific construct of anticipation acting as a mediator between the social and natural system.
Physics and Society
Degrees of individual and groupwise backward and forward responsibility in extensive-form games with ambiguity, and their application to social choice problems
Many real-world situations of ethical relevance, in particular those of large-scale social choice such as mitigating climate change, involve not only many agents whose decisions interact in complicated ways, but also various forms of uncertainty, including quantifiable risk and unquantifiable ambiguity.
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies
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 human societies and their interactions.
Operationalization of Topology of Sustainable Management to Estimate Qualitatively Different Regions in State Space
To apply the framework of Topology of Sustainable Management (TSM) by Heitzig et al. (2016) to dynamical models, we connect it to viability theory (VT) via a variant definition of the former.
Optimization and Control
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package
Additionally, \texttt{pyunicorn} provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence quantification analysis (RQA), recurrence networks, visibility graphs and construction of surrogate time series.
Data Analysis, Statistics and Probability Atmospheric and Oceanic Physics
Macroscopic description of complex adaptive networks co-evolving with dynamic node states
In many real-world complex systems, the time-evolution of the network's structure and the dynamic state of its nodes are closely entangled.
Physics and Society
