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

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 progressin

A miniature 1/4-inch diameter 24-pin plug and receptacle

Miniature plug and receptacle, which eliminates the need for permanent fixed leads, is used on wind-tunnel force balances, in the interface connections of microelectronic modular assemblies, and in electric and electronic systems where subsystems must be removed or interchanged

Research in electrically supported vacuum gyroscope. Volume 1 - Summary Final report

Intent, results, and recommendations of research program for Electrically Supported Vacuum Gyroscope /ESVG

California Carbon Offsets and Working Forest Conservation Easements

California’s cap-and-trade system is a vital laboratory for testing the effectiveness of this market-driven approach in meeting greenhouse gas emission reduction goals and the use of forestry-based carbon offsets within these systems generally. Based on this experience, this Article explores one of the primary challenges, layering offsets with working forest conservation easements, which currently limits opportunities to effectively use these tools in concert. Ultimately, this market may need to foster and rely on natural linkages with working forest conservation easements to develop these offsets and to better ensure that the critical societal objectives of these projects are being met

An application of dynamic programming to pattern recognition

technique which has found only limited usage in the Industrial and Business Management fields which are home to many other of the OR techniques. Its main application has been in problems o

A prototypical approach to machine learning

This paper presents an overview of a research programme on machine learning which is based on the fundamental process of categorization. This work draws upon the psychological theory of prototypical concepts . This theory is that concepts learnt naturally from interaction with the environment (basic categories) are not structured or defined in logical terms but are clustered in accordance with their similaritry to a central prototype, representing the "most typical" member. A structure of a computer model designed to achieve categorization is outlined and the knowledge representational forms and developmental learning associated with this approach are discussed

Rational expectations modelling in O.R

The conventional OR approach to managing a system is, in outline, firstly to create a model of the existing system, secondly, to investigate changes in the model which improve or control the behaviour of the model and thirdly, to implement these changes in the system. It is assumed that the model incorporating these changes will be a valid representation of the system after the changes, in as far as the original model was a valid representation of the original system, and can thus be used to assess the benefits and disbenefits arising from the changes