Researchers are exploring generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia. This approach involves agents taking actions by describing what they want to do and checking the physical plausibility of their actions. The scope of agent-based modeling has been widely applied across social and natural sciences, and the paper introduces generative agent-based modeling with contributions from Google DeepMind and Google Research.
[LG] Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia A S Vezhnevets, J P. Agapiou, A Aharon, R Ziv, J Matyas... [Google DeepMind & Google Research] (2023) https://t.co/71CytzWvXE - The paper introduces Generative… https://t.co/umsXmU4fLe
Social Interaction-Aware Dynamical Models and Decision-Making for Autonomous Vehicles (Chongfeng Wei and co-workers) https://t.co/QmCcKb0qv3
Generative Agent-Based Modeling w/ LLMs -Agents take actions by describing what they want to do Special AI agent: -Checks physical plausibility of agent actions and describes their effects for simulated physical worlds -Or handles API for digital sims https://t.co/k6NlFsaPSl https://t.co/ENzr0GYKDp
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia https://t.co/Vktyck5t2Z https://t.co/xzbJmIwSmy
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia paper page: https://t.co/rJGE7BdKi9 Agent-based modeling has been around for decades, and applied widely across the social and natural sciences. The scope of this… https://t.co/butKOfrRLH