Artificial intelligence is the science of mechanising interesting brainwork. Most people would say that the really interesting kind of brainwork is not so much generating a solution to a particular problem but rather building a strategy for obtaining solutions in general. The use of computers in business is still largely at the level of helping the clerk, or at a more advanced stage, the designer. To be of significant help to the manager and long-range planner the computing systems of tomorrow will have to go beyond the manufacture of results to the synthesis of strategies. We further believe that the processes of strategy-building will be carried out by interactive man-machine systems, in which each partner has something to contribute which the other finds hard to provide. It is the long-term aim of our Department to produce an “intelligent machine” capable of interacting with man in this way.
KeywordsTravelling Salesman Problem Machine Intelligence Human Partner Graph Traverse Human Controller
Unable to display preview. Download preview PDF.
- Donaldson, P. E. K. (1960). Error decorrelation: a technique for matching a class of functions. Proc. III International Conf. on Medical El2ctronics, pp. 173 - 178.Google Scholar
- Doran, J. E. (1968). New developments of the Graph Traverser. Machine Intelligence 2, (eds. Dale, E. and Michie, D.). Edinburgh: Oliver and Boyd, pp. 119 - 135.Google Scholar
- Michie, D. and Chambers, R. A. (1968). BOXES: an experiment in adaptive control. Machine Intelligence 2, (eds. Dale, E. and Michie, D.). Edinburgh: Oliver and Boyd, pp. 137 - 152.Google Scholar
- Michie, D., Fleming, J. G. and Oldfield, J. V. (1968). A comparison of heuristic, interactive and unaided methods of solving a shortest-route problem. Machine Intelligence 3. (ed. Michie, D.). Edinburgh University Press, pp. 245 - 255.Google Scholar