Ai alignment: A comprehensive survey
AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …
Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Using machine learning as a surrogate model for agent-based simulations
In this proof-of-concept work, we evaluate the performance of multiple machine-learning
methods as surrogate models for use in the analysis of agent-based models (ABMs) …
methods as surrogate models for use in the analysis of agent-based models (ABMs) …
The impact of entrepreneurship research on other academic fields
The remarkable ascent of entrepreneurship witnessed as a scientific field over the last 4
decades has been made possible by entrepreneurship's ability to absorb theories …
decades has been made possible by entrepreneurship's ability to absorb theories …
Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning
Modern societies are exposed to a myriad of risks ranging from disease to natural hazards
and technological disruptions. Exploring how the awareness of risk spreads and how it …
and technological disruptions. Exploring how the awareness of risk spreads and how it …
Ten questions concerning agent-based modeling of occupant behavior for energy and environmental performance of buildings
The complexity of occupant behavior is one of the major contributors to uncertainty in
building performance simulation. Agent-based modeling (ABM), a computational simulation …
building performance simulation. Agent-based modeling (ABM), a computational simulation …
Demand side management in industrial, commercial, and residential sectors: a review of constraints and considerations
Demand Side Management (DSM) is a cost-effective approach to managing electricity
networks, aimed at reducing capacity requirements and costs, increasing the penetration of …
networks, aimed at reducing capacity requirements and costs, increasing the penetration of …
Reconceptualizing the policy subsystem: Integration with complexity theory and social network analysis
The concept of the policy subsystem is an essential building block for several of the basic
frameworks of policy process studies. Over time issues have become more complex …
frameworks of policy process studies. Over time issues have become more complex …
Creating agent‐based energy transition management models that can uncover profitable pathways to climate change mitigation
A Hoekstra, M Steinbuch, G Verbong - Complexity, 2017 - Wiley Online Library
The energy domain is still dominated by equilibrium models that underestimate both the
dangers and opportunities related to climate change. In reality, climate and energy systems …
dangers and opportunities related to climate change. In reality, climate and energy systems …
The impact of agent-based models in the social sciences after 15 years of incursions
A Asgharpour, G Bravo, R Corten… - History of economic …, 2010 - torrossa.com
This paper provides an overview on the impact of agent-based models in the social
sciences. It focuses on the reasons why agent-based models are seen as important …
sciences. It focuses on the reasons why agent-based models are seen as important …