Decision making in multi-agent systems when agents have multiple choices and are connected with other agents according to a specific social network.
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Updated
Apr 14, 2024 - Python
Decision making in multi-agent systems when agents have multiple choices and are connected with other agents according to a specific social network.
Identification of strategies under coordination game and social networks
Python replication of Calvano et al. (2020)
A repository for exploring evolutionary game dynamics, network-based strategy adaptation, and social norms evolution.
Q-learning oligopoly simulation (Calvano et al., 2020) — high-fidelity Python reproduction with ≥ 95 % accuracy
This code was part of a research project. It simulates economic dynamics in the food delivery industry, which is a two-sided digital platform industry subject to strong network effects and therefore non-linear complex dynamics. Check out presentation slides for detailed info about the scientific background.
High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture
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