Emergent Intelligence and Language by Binh Nguyen Part 1 of 3

This is a presentation of PhD research on emergent artificial intelligence and language.

Research has shown that agents can learn a great deal by themselves. They can learn to walk, fight, use objects, cooperate and most significantly, use language. The mechanisms behind these abilities are based on ideas from evolution such as genetics, neural networks and culture. The current challenge is how to take these basic behaviors a step further.

Category:

Science & Technology

Tags:

• emergent
• artificial
• intelligence
• language
• Binh
• Nguyen
• evolution
• neural
• networks

[psilogon]

my e-mail: publius (at) ufl (dot) edu

[psilogon]

Hi Binh, I liked your presentation. I anticipate working on a similar project at Indiana University, where Polyworld originates. Have you ever considered that a good gaming context for developing langauge-learning emergent AI might be for games which are explicitly *language* games? - opposed to conventional first-person or role-playing games. In my opinion, the complexities of language in dynamic contexts lend themselves to a whole new game-play paradigm in which the whole goal is communication