A proof of concept autonomous conversational agent for my honours project.

To run this, your system has to satisfy the following requirements:

• Python >=2.7.2, but not 3
• Java Hotspot VM (Java 5 or above)
• BeautifulSoup 3.2.1
• foreman
• at least 512MB RAM to load the classifiers into memory

1. Clone the project and cd into the project directory.
2. mv .env.example .env and change the file with your settings.
3. Edit identity.py to add identities to the agent.
4. foreman start

• /classifiers contains jar binaries for the Stanford MaxEnt and CRF classifiers.
• /data contains a serialization of the current state of the agent
• /incoming emails that will/have been processed
• /misc various notes on the classifiers which I don't want to forget
• /models contain models for the MaxEnt and CRF classifiers
• /scenarios the knowledge base of the agent
• /scripts various quick-and-dirty scripts that I have had to write at some point. Not recommended for reuse.
• . contains the main components

• Crawlers and parsers to automatically obtain new messages and responses
• Multiple agent identities
• Email threading
• Classifiers to recognize message type, main actors, etc.
• Sophisticated AI for response generation
• Metrics module