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SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
An agent-based model (with a web simulation) for Guizhou "golden" monkey population and movements using the Mesa Python framework; thesis project + human/GTGP expansion; Summer 2018-Winter 2019
The firm is the institutional means that employees use to work together and achieve economies of scale whereas applying the same level of effort. This work investigates the dynamic process of aggregation of individuals in firms, reflecting the dynamics of the firms themselves. A network-based agent-model is adapted from Axtell (2013) and simulat…
Use optimal control theory to simulate the dynamics of crowds. Set up a room, initialise agents and their targets. The solution of a Hamilton-Jacobi-Bellman equation provides the optimal trajectories towards the goals, while the actual motion is simulated using an accurate social force model.
ASERSA is an agent-based system built on the Dynamic Force Index Algorithm (DFIA), simulating interactions in real-time using socio-economic attributes like wealth, influence, ambition, and competence. The system features a 3D interactive GUI for visualizing agent interactions and allows real-time adjustments of key parameters.
This project contains python codes and classes to simulate an Agent-Based System (ABM) in which agents have a way to develop habits based on patterns of sensorimotor behaviour. The basis of this work is the Iterant Deformable Sensorimotor Medium described in Egbert & Barandarian (2014) (doi: 10.3389/fnhum.2014.00590)