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This repository contains code for a virtual version of the game "Lost Cities". My family owns the game and after a Christmas spent playing the game over-and-over, I wanted to come up with a systematic way of testing out various strategies. This eventually morphed into a desire to analyze the game probabilistically. But that moves away from the purpose of this README. The main structures needed for playing the game are found in lost_cities.py. In that file, there is a card class and a board class. The game_board class contains everything needed for playing the game. There are also several functions (play_game and computer_turn) which automate a computer vs computer game as well as single turns for the AI. The strategy.py game contains strategies for AI's the game. There is currently only one strategy available for playing/drawing, though a second strategy is being developed in one of the branches. The comments in this file are more extensive and are intended to allow for additional strategies to be added. The files comp_v_comp.py and play_computer.py are the two scripts for actually playing the game. The first, comp_v_comp.py, allows the user to select play/draw strategies for two AI's and then simulate n games against each other. The play_computer.py allows the user to play an AI.
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My experiments trying to find the best strategy for lost cities and to find a probabilistic analysis of the game.
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