Task Decomposition in Cut-Off Dimensioning: A Frame-Based Model

The cut-off dimensioning problem is characterized by the complexity of the problem, and by environmental uncertainty. A solution is proposed using deeomposition into lateral modules and vertical layers Lateral decomposition permits the distribution of expertise, hence the reduction in the complexity of the problem. The vertical decomposition permits greater expert decision-making, hence the reduction in uncertainty. A synergy of three knowledge representation methods is used: Declarative knowledge is used for rule-based reasoning, heuristic methodologies are used for the deterministic, context-dependent decision-making, and strictly algorithmic procedures are used for the tasks inclined to data abstraction and mathematical manipulations. The frame is used as the common knowledge carrier among all three tasks.