update readme

Author: JonahMiller

README.md

@@ -1,16 +1,19 @@
 # BACON
 
-This project reproduces Langley’s BACON system for Computational Scientific Discovery. It uses his [book](https://direct.mit.edu/books/book/4759/Scientific-DiscoveryComputational-Explorations-of) as the main inspiration to reimagine the algorithms of his methods using modern day Python. 
+This project reproduces Langley’s BACON system for Computational Scientific Discovery. It uses his [book](https://direct.mit.edu/books/book/4759/Scientific-DiscoveryComputational-Explorations-of) as the main inspiration to reimagine his methods using Python. 
 
 ## Modern day BACON
+
 This project recreates BACON.1, BACON.3, BACON.5 and BACON.6. It also has functionality for novel methodologies, including my own creations and a Monte-Carlo Tree Search to traverse the space.
 
-The datasets tested on were synthetic and can be found in [datasets.py](./datasets.py). In [main.py](./main.py) the full list of methods used in the Space of Data and Space of Laws are shown and can be customised by the user. For example to run on the Ideal Gas Law with 3% noise in the dependent variable, the command is:
+The datasets tested on were synthetic and can be found in [datasets.py](./datasets.py). 
+
+In [main.py](./main.py) the full list of methods used in the Space of Data and Space of Laws are shown and can be customised by the user in an args file. For example, to run on the Ideal Gas Law with 3% noise in the dependent variable, the command is:
 
 `python3 main.py --dataset ideal --noise 0.03 --args args/ideal/ideal30.json`
 
 With the args file user customisable.
 
 ## Additional comments
 
-This project was completed as a dissertation for the  Part III Computer Science course at the University of Cambridge. The final report is in the [dissertation.pdf].
+This project was completed as a dissertation for the  Part III Computer Science course at the University of Cambridge. The final report is in the [dissertation.pdf](./dissertation.pdf).