Rahul Chattergy

The Oregon Report Computer Science and Computer Engineering Education in the 80's

The computers pervaiveness in the 1980s will demand even more professional talent, broader computer education, and perhaps even licensing of the computer professional. Industry, education, and professional groups must cooperate to meet these challenges.

Analysis of the availability of computer systems using computer-aided algebra

Analytical results, related to the availability of a computer system constructed of unreliable processors, are presented in this paper. These results are obtained by using various computer-aided algebraic manipulation techniques. A major purpose of this paper is to demonstrate that the difficulties of obtaining analytical solutions to Markov processes can be considerably reduced by the application of symbol manipulation programs. Since many physical systems can be modeled by Markov and semi-Markov processes, the potential range of application of these techniques is much wider than the problem of availability analyzed here.

Continuing Education for the Computer Professional:* The Role of the Professional Society

Education–the structured part of it, at any rate–of a computer professional has traditionally ended with undergraduate training at a university. After that, and for the major part of his productive life, his learning seems to occur chiefly through peer group osmosis. This process is failing to keep pace with the rapid development of the computer industry.

Discussion note on logic for group decisions

A group decision support system uses a knowledge base created by the active participation of the group members. Uncertainties can be introduced in such a group knowledge base from at least two sources: hard uncertainties can result from a lack of knowledge on the part of every group member about some state of affairs in the world, and soft uncertainties can result from a lack of consensus among the group members. A logical infrastructure is necessary to support query processing and drawing inferences from a group knowledge base. It is shown that a natural formulation of logic in this case leads to a many-valued logic that has significant differences from traditional logic. Some basic operations in this logic are derived. >