Available online
Description
Problem-solving in artificial intelligence reaches perhaps the core of this science. Recorded in front of on audience at the University of Edinburgh, this programme looks at two methods of approach...ing problem-solving programs. The 'numerical' method is demonstrated with the use of our small robot and a volunteer challenging it to a computer chess game. Then the 'means end' approach is illustrated as a way of solving more complex everyday problems and is explained with simple studio demonstrations.
Problem-solving in artificial intelligence reaches perhaps the core of this science. Recorded in front of on audience at the University of Edinburgh, this programme looks at two methods of approach...ing problem-solving programs. The 'numerical' method is demonstrated with the use of our small robot and a volunteer challenging it to a computer chess game. Then the 'means end' approach is illustrated as a way of solving more complex everyday problems and is explained with simple studio demonstrations.
| Module code and title: | D303, Cognitive psychology |
|---|---|
| Item code: | D303; 13 |
| First transmission date: | 28-08-1978 |
| Published: | 1978 |
| Rights Statement: | |
| Restrictions on use: | |
| Duration: | 00:24:25 |
| + Show more... | |
| Producer: | Roger Penfound |
| Contributors: | Alan Bundy; Marc Eisenstadt |
| Publisher: | BBC Open University |
| Keyword(s): | Artificial Intelligence; Problem solving; Psychology |
| Footage description: | Marc Eisenstadt introduces the programme which is recorded before an audience. Alan Bundy of Edinburgh University talks about problem-solving and artificial intelligence. He sets a volunteer playing chess with a computer. To demonstrate how a simpler problem-solving computer might work a second volunteer steers Mazey, a small robot, through a maze. This leads Alan Bundy to explain the technique of problem-solving called heuristic search. Marc then questions whether or not this method would enable the subject to choose the best possible robot to solve a problem. Alan explains how this can be achieved by the use of goal and sub-goal analysis. In order to illustrate this technique he asks a volunteer to move some coloured blocks into a certain position. Before he can do this the volunteer must make other changes in the blocks. These changes are represented as the sub-goals. Alan describes how these sub-goals can be achieved by the use of simple operators. Having explained means-end analysis Alan demonstrates how it could solve a problem which Marc posed earlier in the programme. After reviewing the progress of the chess game, Alan states that heuristic programmes have reached a plateau and argues that a combination of this technique and means-end analysis point the way forward for problem-solving. |
| Master spool number: | VTC/6HT/72655 |
| Production number: | 00525_2412 |
| Videofinder number: | 212 |
| Available to public: | no |
