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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!

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Previously… Used Bayesian Learning to probabilistically classify

unseen objects based upon their features.

Training Data Testing Data

Probabilistic Categorization

Let’s do something interestingwith this ------------------->

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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.

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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 eachpossible action/class.

worldObjects.txt: Objects entity engages.

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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.

Profit Margins

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Launch the demo already!! What I expected. More talk about the internals of the

program. The surprising results.