[CT421]: Assignment 2 submission

year4/semester2/CT421/assignments/assignment2/submission/CT421-Assignment-02.pdf

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+../latex/CT421-Assignment-02.pdf

year4/semester2/CT421/assignments/assignment2/submission/README.md

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+# `ipd.py`
+## Dependencies
+The program doesn't use any dependencies other than Python itself, so as long as you have Python installed, you're good to go.
+
+## Usage
+Run the program using `python ipd.py -h` for the following usage information:
+```
+usage: ipd.py [-h] [-s SIZE] [-g NUM_GENERATIONS] [-a GIVE_UP_AFTER]
+              [-i NUM_ITERATIONS] [-p SELECTION_PROPORTION]
+              [-c CROSSOVER_RATE] [-m MUTATION_RATE] [-o OUTPUT_FILE]
+              [-n NOISE_LEVEL]
+
+Program to evolve strategies for the Iterated Prisoner's Dilemma
+
+options:
+  -h, --help            show this help message and exit
+  -s, --size SIZE       Initial population size
+  -g, --num-generations NUM_GENERATIONS
+                        Number of generations
+  -a, --give-up-after GIVE_UP_AFTER
+                        Number of generations to give up after if best
+                        solution has remained unchanged
+  -i, --num-iterations NUM_ITERATIONS
+                        Number of iterations of the dilemma between two agents
+  -p, --selection-proportion SELECTION_PROPORTION
+                        The proportion of the population to be selected
+                        (survive) on each generation
+  -c, --crossover-rate CROSSOVER_RATE
+                        Probability of a selected pair of solutions to
+                        sexually reproduce
+  -m, --mutation-rate MUTATION_RATE
+                        Probability of a selected offspring to undergo
+                        mutation
+  -o, --output-file OUTPUT_FILE
+                        File to write TSV results to
+  -n, --noise-level NOISE_LEVEL
+                        The probability that the opponent's last move will be
+                        misrepresented to the agent
+```
+
+An example run of the program with default values would simply be `python ipd.py`.
+To change the fitness function used, comment / uncomment lines in the list of possible strategies in the `fitness()` function.
+

year4/semester2/CT421/assignments/assignment2/submission/ipd.py

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+../code/ipd.py

year4/semester2/CT421/assignments/assignment2/submission/plots.py

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+../code/plots.py