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There are various reading strategies that help readers recognize what they are learning, which allows them to further understand themselves as readers. Also to understand what information they have comprehended. These strategies also activate reading strategies that good readers use when reading and understanding a text. [9]
While research in single-agent reinforcement learning is concerned with finding the algorithm that gets the biggest number of points for one agent, research in multi-agent reinforcement learning evaluates and quantifies social metrics, such as cooperation, [2] reciprocity, [3] equity, [4] social influence, [5] language [6] and discrimination. [7]
A multi-agent system may contain combined human-agent teams. Agents can be divided into types spanning simple to complex. Categories include: Passive agents [11] or "agent without goals" (such as obstacle, apple or key in any simple simulation) Active agents [11] with simple goals (like birds in flocking, or wolf–sheep in prey-predator model)
The system automatically build a user model according to student's performance. After reading, the student is given a series of exercises based on the target vocabulary found in reading. [72] CIRCSlM-Tutor CIRCSIM_Tutor is an intelligent tutoring system that is used with first year medical students at the Illinois Institute of Technology.
Reciprocal teaching is an amalgamation of reading strategies that effective readers are thought to use. As stated by Pilonieta and Medina in their article "Reciprocal Teaching for the Primary Grades: We Can Do It, Too!", previous research conducted by Kincade and Beach (1996 ) indicates that proficient readers use specific comprehension strategies in their reading tasks, while poor readers do ...
Principal to any dialogue system is the dialogue manager, which is a component that manages the state of the dialogue, and dialogue strategy. A typical activity cycle in a dialogue system contains the following phases: [5] The user speaks, and the input is converted to plain text by the system's input recogniser/decoder, which may include:
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An agent is a virtual (or physical) autonomous entity that has an understanding of its environment and acts upon it. An agent is usually able to communicate with other agents in the same system to achieve a common goal, that one agent alone could not achieve. This communication system uses an agent communication language.