I have recently become interested in particle swarm optimization as a method for building computational models of people's beliefs; Specifically their beliefs about music, and still more specifically about what the relationship is between how people tag their music files and what that says about the network in which that music is embedded. Building computational models for language or music is about as dated as research gets, and the corpus on the topic is vast and inconclusive. But this project doesn't aim to understand the unique connection between humans and music, or discern the underling neurological phenomenon by running simulations of latent noun usage. This is a more pragmatic attempt to understand how people's common sense understanding of music is represented and connected, and how this knowledge can be gathered and leveraged to more effectively connect people.
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Comments (1)
Derek said
at 8:55 am on Mar 13, 2007
wow, that's really interesting. I just returned two books to the library you might find interesting. One is a book about swarm algorithms, called swarm, I believe, and another is a book about the physics of 'crowd minds,' specifically the movement of attitudes and emotions through society. The later book uses cellular automata models.
Glad you'll be around!
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Comments (1)
Derek said
at 8:55 am on Mar 13, 2007
wow, that's really interesting. I just returned two books to the library you might find interesting. One is a book about swarm algorithms, called swarm, I believe, and another is a book about the physics of 'crowd minds,' specifically the movement of attitudes and emotions through society. The later book uses cellular automata models.
Glad you'll be around!
You don't have permission to comment on this page.