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SASO
2009
IEEE

Learning Non-Explicit Control Parameters of Self-Organizing Systems

10 years 9 months ago
Learning Non-Explicit Control Parameters of Self-Organizing Systems
Abstract—Controlling self-organizing systems with given control parameters is often unintuitive and inefficient for the user. Typically, there is some emergent behavior that the user would like to produce that is not directly controllable. Our goal is to develop an autonomous and domain-independent learning framework for adding non-explicit control parameters to selforganizing systems that provide users with more intuitive realtime control of the system. These additional controls are created by using regression to learn a mapping between the explicit control parameters and the non-explicit control parameters.
Don Miner, Marie desJardins
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where SASO
Authors Don Miner, Marie desJardins
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