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Article: Recent findings in complex systems described by researchers from University of Hertfordshire.
- Article from:
- Robotics & Machine Learning
- Article date:
- August 24, 2009
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According to recent research from Hatfield, the United Kingdom, "By using information theory to reduce the state space of sensor arrays, such as receptive fields, for AI decision making we offer an adaptive algorithm without classical biases of hand coded approaches. This paper presents a way to build an acyclic directed graph to organize the sensor inputs of a visual receptive field."
"The Information Distance Metric is used to repeatedly select two sensors, which contain the most information about each other. Those are then encoded to a single variable, of equal alphabet size, with a deterministic mapping function that aims to create maximal entropy while ...