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See:
Description
| Class Summary | |
|---|---|
| Corpus | |
| ParallelToSerialVFAdapter | Wraps a normal value function but converts parallel states into serial states before relaying state value requests to the value function. |
| ReadingAction | |
| ReadingMain | A class configured by a textfile called "reading.prop" that can be run from the command line to initiate a reinforcement learning simulation on a reading problem; all variables below can be specified in the reading.prop file, e.g. |
| ReadingParallelReinforcementFunction | |
| ReadingPolicy | |
| ReadingPolicyParallel | |
| ReadingReinforcementFunction | |
| ReadingSet | |
| ReadingState | This class represents the State of a reading Agent -- scroll down to Field Detail to see more detailed on information for each dimension of the state. |
| ReadingStateFactory | |
| ReadingStateParallelRelative | In parallel states, we have to keep track of which words of the sentence have been identified already but for default compatability with earlier states we return information about the first word in the window for length, ID and whether the word is identified. |
| ReadingStateRelative | Inherits from ReadingState, but several methods have been altered so that the model of the environment is word-centric instead of absolute in the sentence (this allows for generalization to new circumstances). |
| ReadingTest | |
| SentenceWorld | Describes how states evolve in response to actions in a serial attention and word identification model. |
| SentenceWorldParallel | Defines how states evolve in response to actions when a parallel reading process is underway, such as when various words become identified. |
| Toolbox | |
| Word | |
Code for the Adaptive Reading Agent; see ReadingMain for parameters and default values. Instantiates a multi-dimensional world and policy which represent human behavior possibilities during reading.
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