A knowledge-based system with learning for computer communication network design

Computer communication network design is well-known as complex and hard. For that reason, the most effective methods used to solve it are heuristic. Weaknesses of these techniques are listed and a new approach based on artificial intelligence for solving this problem is presented. This approach is particularly recommended for large packet switched communication networks, in the sense that it permits a high degree of reliability and offers a very flexible environment dealing with many relevant design parameters such as link cost, link capacity, and message delay

AS-24-77 Resolution on Class Scheduling

Guidelines for scheduling lecture classes be implemented uniformly by all schools

AS-33-77 Resolution Regarding Sponsorship of Events

Revised procedures for use of campus facilities (CAM 232)

AS-39-78 Resolution in Support of an Ad Hoc Committee on Teaching Development

Form ad hoc committee to continue programs on faculty/teaching development

AS-27-77 Resolution on Administration of CAM 232.3, 772 and 773

Adoption of guidelines for person(s) requesting use of campus facilities

Human and automation: a matter of cooperation.

International audienceMost of the time, machine design should be considered as human-machine system design in order to solve human-machine cooperation problems. The traditional levels of automation should be re-interpreted in terms of cooperation requirements. A framework is proposed in order to categorise car-driving assistance devices on the basis of human-machine cooperation