There exists an integration of the micro-macro link when students summarize their complete understanding using multiple representations of the microscopic model, the macroscopic experimental evidence in the form of meter readings, and a graphical outcome.
We apply the new feature selection and dynamics approximation techniques in heterogeneous transfer learning, where the agent automatically maintains and adapts multiple representations of the world to cope with the different environments it encounters during its lifetime.
Using examples from complex tasks such as constraint satisfaction, language understanding and planning, we show how a Polyscheme agent can show improved performance by leveraging its multiple representations without the hindsight of representational choice.
The use of multiple representations of the same elements, along with appropriate labeling, has been shown to enhance visitor understanding (Botelho and Morais 2006; Falk and Dierking 2000), and this appears to have been a contributing factor to success here as well.
Although this is quite common, for example 35% of the genes on Affymetrix U133a array are represented by multiple probe sets, no systematic evaluation of the concordance between multiple representations of the same gene has been reported, thus leaving microarray users without clear guidelines how to deal with this problem.
The State Department knew about China's concerns and made "multiple representations" to the country's government to reinforce the American belief in freedom of expression.
In previous work we have created content-rich search interfaces that implement an aspect of polyrepresentative theory, and are capable of displaying multiple representations of the retrieved documents simultaneously at the results interface.
We asked whether the motor system uses multiple representations of the dynamics associated with different tool orientations or a single general representation applied to all orientations.
To cope with these issues, we have proposed the Hierarchical Invariants Perception Model (HIPM) in which multiple representations of the target are dynamically evaluated and selected by the robot.
The interactive visualization approach (multimodal display) helps the user interpret complex datasets, providing multiple representations of the same data.
