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Mechanisms for advancing a simulation by processing discrete sets of actions and state updates.
Distinct from Step-by-Step Execution Controls: Candidates focus on ML training loops, tutorials, or sorting algorithms, not agent-based social simulation steps.
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Oasis is an LLM-powered multi-agent social simulator and research tool designed to study synthetic social phenomena. It functions as a synthetic social network platform, replicating the infrastructure of social sites including user profiles, follow relationships, and content discovery mechanisms to model human-like social behaviors at scale. The framework orchestrates large-scale agent populations, supporting up to one million autonomous agents. It distinguishes itself by translating language model outputs into concrete social actions and external tool executions through a tool-calling orches
Advances the environment by processing a set of actions performed by active agents.