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The personal topic maps in ROS provide the participants with a more semantic management and a representation of learning resources, which are intended to facilitate later review.

A big warning: if your model involves any representation of "learning" or "plasticity" that changes model parameters, your batchrun procedure must reset the model parameters to their proper starting values before it calls run.

For future work, it is proposed to adopt a semantic representation of learned static areas properties, such that more complex interactions between agents and environments can be characterized by applying the built bank of filters based on attractive effects to new trajectories.

Nora, below, offers a metaphorical representation of learning to care for her body as one would care for a garden.

In support of these operations, we define the types of reasoning failures, a taxonomy of failure causes, a second-order formalism to represent reasoning traces, a taxonomy of learning goals that specify desired change to the background knowledge of a system, and a declarative task-formalism representation of learning algorithms.

In this case there is a representation of the learning environment by the user that is stimulated by the physical environment.  .

In this case there is a representation of the learning environment by the user that is stimulated by the physical environment.

It can also be used as a tool to evaluate the improvement of efficiency and the decrease of errors in time as a representation of the learning curve.

This accidental finding indicates that semantically structured representation of learning resources can give the learners positive impact while reviewing their learning materials for knowledge construction.

We used the most common mathematical representation of learning curves from[55] to estimate future costs of new technologies such as traction batteries and CNG propulsion systems (c.f. subsection 'Economic analysis' in Additional file1).

Foster and Wilson observed that this reverse replay of behavioral sequences coincided with hippocampal ripples and suggested that it might allow recently activated cells to be more strongly associated with a fast onset, slowly decaying dopamine signal to learn a representation of value as in TD learning models.

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