replicator-dynamics

CPU-first experiments on predictive correspondences between adaptive dynamical systems

A lightweight Python library for Game Theory and Multi-Agent Reinforcement Learning (MARL) visualizations.

The forge, distilled: an ontology of three weeks of alignment research — every direction tried, colored verified / falsified / open, each color backed by a named artifact. Products: justitia, proxylimen, fallacy-cutter. Full tree at tag forge-full-tree.

Learn and simulate game theory in the browser: Nash solver, strategy tournaments, spatial grids and evolutionary dynamics.

Python-based evolutionary market simulation using yfinance data, historical S&P 500 membership, and replicator dynamics to compare algorithmic trading strategies against passive SPY buy-and-hold.

Das wiederholte Gefangenendilemma: zehn Strategien im Rundenturnier, Rauschen, Evolution - und die Einladungsschwelle gemessen gegen ihre Herleitung

Fast solving of Bayesian matrix games with replicator dynamics

Autonomous Agent Evolutionary Stable Strategy (ESS) & Replicator Dynamics Population ODE Solver

Seminar materials on replicator dynamics, MWU, and their evolutionary motivation.

Agent identity as a forgeable greenbeard in an evolutionary AI race: certification buys robustness not safety, and pays with an entry barrier that cannot be removed

From GNN fundamentals to solving an NP-hard problem: message passing, over-smoothing, and Maximum Clique with a GNN + Replicator Dynamics hybrid

Empirical Validation of ROM Consent-Friction Dynamics — code companion to ROM (DAI-2503) and AoC (DAI-2601)

Delegation cascades in an evolutionary AI race: specification erosion, per-layer liability attribution, and depth as a liability shelter

Deployment-layer selection in evolutionary AI-race dynamics: closed-form liability thresholds, bistability and hysteresis

Evolutionary game theory: replicator and Markov-chain dynamics of the Iterated Symmetric Centipede (MATLAB, AUTH Game Theory course)

Interactive Nash Equilibrium explorer — pure/mixed strategy NE, best-response curves and replicator dynamics

Python code for plotting evolutionary game phase portraits and analyzing replicator dynamics

Code, data, and figures for 'A corrective constraint increases multi-target attainment under finite adaptive search' (Brashears, Gladstone, and Ferrer), under review at Scientific Reports.