Adaptive information retrieval system for optimizing research

74-77<span style="font-size:12.0pt;line-height: 115%;font-family:" times="" new="" roman";mso-fareast-font-family:"times="" roman";="" mso-ansi-language:en-us;mso-fareast-language:en-us;mso-bidi-language:ar-sa"="" lang="EN-US">Introduction of theory of adaptive controls, unified theory of value for engineering and decision theory to the retrieval system theory has resulted in <span style="mso-bidi-font-weight: bold">number of new developments in information science. The concept of complete bibliography has made it possible for the first time, to work out a strategy of research, involving adaptive control, dynamic programming and learning to the best advantage of the workers. Use of perpetual classification systems would make it possible to reject research into future. The problems presented by present systems, i. e. statistical empirical, on one side and application of theory of graphs and other topological notions, by way of structural matching etc. are based on hypothetical user model, and the logic involved is not rational. A semi-automatic arrangement involving human operator would prove to be more effective. A punched card decision device is demonstrated.