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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]
An ACT-R inspired extension to the JACK multi-agent system that adds a cognitive architecture to the agents for eliciting more realistic (human-like) behaviors in virtual environments. IDA and LIDA: implementing Global Workspace Theory, developed under Stan Franklin at the University of Memphis. MANIC (Cognitive Architecture)
The model used in Aumann [1] to prove the theorem consists of a finite set of states with a prior probability , which is common to all agents. Agent a {\displaystyle a} 's knowledge is given by a partition Π a {\displaystyle \Pi _{a}} of S {\displaystyle S} .
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.
Simple reflex agent Learning agent. A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. [1] Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. [2]
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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]
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: