O.R.,Statistics,A.I.- the potential for interdisciplinary progress

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2005

Full metadata record

DC Field	Value	Language
dc.contributor.author	Phelps, R I	-
dc.coverage.spatial	23	en
dc.date.accessioned	2008-04-14T12:50:54Z	-
dc.date.available	2008-04-14T12:50:54Z	-
dc.date.issued	1984	-
dc.identifier.citation	Maths Technical Papers (Brunel University). November 1984 , pp 1-19	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/2005	-
dc.description.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	en
dc.format.extent	158783 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Brunel University	en
dc.relation.ispartof	Brunel University Mathematics Technical Papers collection;	-
dc.title	O.R.,Statistics,A.I.- the potential for interdisciplinary progress	en
dc.type	Research Paper	en
Appears in Collections:	Dept of Mathematics Research Papers Mathematical Sciences

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