When complete, this project will have Python code for all the pseudocode algorithms in the book. For each major topic, such as `logic`, we will have the following three files in the main branch:

| 2.1 | Environment | `Environment` | [`agents.py`][agents] | |

"The [aima-python](https://github.com/aimacode/aima-python) repository implements, in Python code, the algorithms in the textbook *[Artificial Intelligence: A Modern Approach](http://aima.cs.berkeley.edu)*. A typical module in the repository has the code for a single chapter in the book, but some modules combine several chapters. See [the index](https://github.com/aimacode/aima-python#index-of-code) if you can't find the algorithm you want. The code in this repository attempts to mirror the pseudocode in the textbook as closely as possible and to stress readability foremost; if you are looking for high-performance code with advanced features, there are other repositories for you. For each module, there are three files, for example:\n",