Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/2005| Title: | O.R.,Statistics,A.I.- the potential for interdisciplinary progress |
| Authors: | Phelps, R I |
| Issue Date: | 1984 |
| Publisher: | Brunel University |
| Citation: | Maths Technical Papers (Brunel University). November 1984 , pp 1-19 |
| Abstract: | This paper examines the need for O.R. workers to become more involved in the development of A.I. A brief outline of A.I. is provided noting problems, techniques and objectives similar to those found in O.R. This outline gives an indication of how interdisciplinary development might proceed and indicates the direction in which O.R. training should be progressing |
| URI: | http://bura.brunel.ac.uk/handle/2438/2005 |
| Appears in Collections: | Dept of Mathematics Research Papers Mathematical Sciences |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| TR_13_84.pdf | 155.06 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.