The AI president: a country governed by artificial intelligence
M Al Lily - foresight, 2024 - emerald.com
Purpose This paper aims to explore the possible forms and characteristics of an artificial
intelligence (AI) leader and discuss the potential applications of AI in political leadership and …
intelligence (AI) leader and discuss the potential applications of AI in political leadership and …
Crafting desirable climate trajectories with RL explored socio-environmental simulations
J Rudd-Jones, F Thendean, M Pérez-Ortiz - arXiv preprint arXiv …, 2024 - arxiv.org
Climate change poses an existential threat, necessitating effective climate policies to enact
impactful change. Decisions in this domain are incredibly complex, involving conflicting …
impactful change. Decisions in this domain are incredibly complex, involving conflicting …
A Multi-agent Reinforcement Learning Study of Emergence of Social Classes out of Arbitrary Governance: The Role of Environment
AS Dizaji - arXiv preprint arXiv:2310.19903, 2023 - arxiv.org
There are several theories in economics regarding the roots or causes of prosperity in a
society. One of these theories or hypotheses--named geography hypothesis--mentions that …
society. One of these theories or hypotheses--named geography hypothesis--mentions that …
Advantage Alignment Algorithms
Artificially intelligent agents are increasingly being integrated into human decision-making:
from large language model (LLM) assistants to autonomous vehicles. These systems often …
from large language model (LLM) assistants to autonomous vehicles. These systems often …
Incentives to Build Houses, Trade Houses, or Trade House Building Skills in Simulated Worlds under Various Governing Systems or Institutions: Comparing Multi …
AS Dizaji - arXiv preprint arXiv:2411.17724, 2024 - arxiv.org
It has been shown that social institutions impact human motivations to produce different
behaviours, such as amount of working or specialisation in labor. With advancement in …
behaviours, such as amount of working or specialisation in labor. With advancement in …
AI4GCC-Team: Below Sea Level: Score and Real World Relevance
P Wozny, B Renting, R Loftin, C Wieners… - arXiv preprint arXiv …, 2023 - arxiv.org
As our submission for track three of the AI for Global Climate Cooperation (AI4GCC)
competition, we propose a negotiation protocol for use in the RICE-N climate-economic …
competition, we propose a negotiation protocol for use in the RICE-N climate-economic …
Combining Artificial Intelligence and Systems Thinking Tools to Predict Climate Change
According to systemic definitions, climate change is considered a complex system.
Therefore, a systematic tool is needed to model it for the future. Artificial intelligence (AI) …
Therefore, a systematic tool is needed to model it for the future. Artificial intelligence (AI) …
A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems
AS Dizaji - arXiv preprint arXiv:2403.02369, 2024 - arxiv.org
Laboratory experiments have shown that communication plays an important role in solving
social dilemmas. Here, by extending the AI-Economist, a mixed motive multi-agent …
social dilemmas. Here, by extending the AI-Economist, a mixed motive multi-agent …
AI4GCC-Team: Below Sea Level: Critiques and Improvements
B Renting, P Wozny, R Loftin, C Wieners… - arXiv preprint arXiv …, 2023 - arxiv.org
We present a critical analysis of the simulation framework RICE-N, an integrated
assessment model (IAM) for evaluating the impacts of climate change on the economy. We …
assessment model (IAM) for evaluating the impacts of climate change on the economy. We …
Imitation learning for combinatorial optimization and contact tracing
P Gupta - 2023 - ora.ox.ac.uk
The field of Imitation Learning (IL) has seen significant progress in recent years as
researchers have applied this machine learning technique to various domains such as …
researchers have applied this machine learning technique to various domains such as …