Phase IV – Bayesian Learning Reloaded

1. Phase IV – Bayesian Learning Reloaded Operator: Eric Bengfort Temporal Status: End of Week Eight Location: Phase Four Presentation Systems Check: Cleared Status: Entity… it’s alive!

2. Previously… • Used Bayesian Learning to probabilistically classify unseen objects based upon their features. Testing Data Training Data Probabilistic Categorization Let’s do something interesting with this ------------------->

3. Idea & Goals • Use Bayesian Learning to govern how an entity behaves in an environment. • Let the classification classes be actions the entity is able to perform. • Give the entity minimal instinct to start with, and then set it loose. • User is able to praise or scold entity to reinforce proper behavior. • Write program generically so that an end user can create any entity with any potential actions inside any environment. • Do this in a week.

4. Data Driven Everything • Everyone loves puppies, lets make a puppy! • Puppies have to learn how to behave in real life. • Three text files will build our puppy and the world. entity.txt: Name of entity. instinct.txt: Entity’s starting intelligence. Must have at least one example of each possible action/class. worldObjects.txt: Objects entity engages.

5. Profit Margins • By merely editing text files, unlimited scenarios can be generated and experimented upon. • Demonstrates the power of Bayesian Learning in real time. The response from the user (praise/scold) directly influences entity development. • My personal testing greatly exceeded personal expectations.

6. Launch the demo already!! • What I expected. • More talk about the internals of the program. • The surprising results.