Intelligent tutoring systems by Author Unknown

By Author Unknown

The 1st quantity to seem in this subject and now a vintage within the box, "Intelligent Tutoring platforms" offers the reader with descriptions of the main structures carried out ahead of 1981. The advent seeks to stress the critical contributions made within the box, to stipulate carrying on with examine matters, and to narrate those to analyze actions in synthetic intelligence and cognitive technological know-how. topic components mentioned are as different as mathematics, algebra, electronics, and medication, including a few casual gaming environments"

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A bottom-up strategy will be used in the Design Theme. We will extend our grid and design lab modules using existing toolkits, such as Globus Toolkit 4, Java, and Apache Server. The services provided by the system will be implemented in the client/server architecture. A Java based user interface will deliver the services on the Web. Servers will run on the clusters. Multiple servers interact with one another in the agent based infrastructure. A formal definition of the interfaces of functional units of the system will form 17 Designing Multi-Agent Systems from Logic Specifications Figure 4.

Monitoring agent (MT): This agent maintains the content of the topic tree, a course material URL database, monitors updates and notifies the notification agent when a change is made to the database. The domain handled by the monitoring agent is the topic link database LK. We use predicate MT(l, n) to denote that notification n is created in accordance to the change made on topic link l.  Designing Multi-Agent Systems from Logic Specifications • Maintenance agent (MA): The maintenance agent provides proxy services to the instructor.

For non-enumerable domains, we need to establish a sampling function from the domain theory that ensures the coverage of the domain when applied recursively. See (Lin & Chen, 1998) for detailed description of the deduction process. Constructing the Verification Program The verification program in γ-Calculus is constructed recursively. For a clause p, the constructed program is a solution, denoted by

. The recursive process is governed by the following rules: Rule 1. For clause q = ∀x:N. p(x), = where true = γ(x:N)=.

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