A research tool for the Iterated Prisoner's Dilemma
-
Updated
May 8, 2024 - Python
A research tool for the Iterated Prisoner's Dilemma
Toolbox for Evolutionary Game Theory.
Identification of strategies under coordination game and social networks
Exploring the Emergence of Complex Systems through Individual Decisions and Relationships
A general game-theoretical framework to carry out scientific simulations of populations' evolution according to the Moran model 🧮
Code useful to analyze the nBEPA1 revision protocol. This protocol is a noisy version of the Best Experienced Payoff protocol, where agents test all their strategies and they try each of them only once
An evolutionary game theory approach to US Presidential elections in the form of a Colonel Blotto game.
A project on how third-party enforcement systems that sustain cooperation can emerge evolutionarily
Multi agent simulation code for 2×2 Game on complex network
Genetic extension to Conway's Game of Life with spatiotemporal and genetic analysis tools.
Agent-based model of the interaction between individuals in an emergency scenario, created in Netlogo.
This project investigates the relationship between perception, fitness, and reality using evolutionary game theory and cognitive science. It also explores the scalability of the representation strategy used in the 2D grid to a 3D grid and compares its results to research involving human participants.
NetLogo model designed to analyze the nBEPA1 (noisy Best Experienced Payoff, test All, 1 trial) protocol in Single Optimum Coordination Games, played in networks
NetLogo model designed to analyze the nBEPA1 (noisy Best Experienced Payoff, test All, 1 trial) protocol in Single Optimum Coordination Games
This project studies the evolution of the behavior of the individuals of a community in the snowdrift game as a function of the parameters of the game and the topology of the players' social network.
Evolutionary game theory solver for R. Classifies internal and face equilibria of 1-population games with continuous replication, 2-5 competitors. User-defined payoff matrix.
Evolutionary game theory solver in R. Randomly generates payoff matrices for single-population games with 2-5 players and solves them under continuous time replicator dynamics. Assesses full game, face games as faces of a larger system, and face games as independent games.
Simulator of evolutionary dynamics and game theory in c++
Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
Add a description, image, and links to the evolutionary-game-theory topic page so that developers can more easily learn about it.
To associate your repository with the evolutionary-game-theory topic, visit your repo's landing page and select "manage topics."