Abstract
The application of arti® cial intelligence planning techniques to real world problems is a very dic cult task which usually implies overcoming expressiveness and ec ciency handicaps. Expressiveness in order to cope with the great amount of knowledge involved in these problems and also to obtain results directly, or almost directly, applicable in the ® eld of study. Ec ciency to achieve a good course through the potentially enormous search spaces and, therefore, a satisfactory response capability. This work describes Ma c h i n e , a manufacturing planning architecture which is able to obtain sequential control programs for manufacturing systems, the steps given to overcome these expressiveness and ec ciency handicaps and how it is able to solve some real size problems.
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More From: Journal of Experimental & Theoretical Artificial Intelligence
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