Showing papers by "European Business School London published in 1990"
TL;DR: A low order polynomial-time algorithm for preemptive scheduling of uni- and two-processor tasks is proposed, when schedule length is the performance measure.
18 citations
01 Jan 1990
TL;DR: In this article, an expert system for the configuration of special machines is described, where the static domain knowledge is represented in the system by objects that are hierarchically organized in a part-of-a hierarchy that forms a model of the machine, and in several is-a hierarchies for the different types of machines and of its parts.
Abstract: An expert system for the configuration of special machines is described. The static domain knowledge is represented in the system by objects that are hierarchically organized in a part-of hierarchy that forms a model of the machine, and in several is-a hierarchies for the different types of machines and of its parts. The configuration knowledge consists of functions and relations between parameters representing mechanical laws and of heuristic rules. Both are represented as constraints that are attached to the objects in the model. The configuration process is a stepwise refinement of the model until all parameter values are determined. It is performed by direct evaluation of the constraints and is supported by a dependency controller. The search is guided by control strategies, the most important one is preferring standard solutions. The configuration system includes a simple diagnosis component and a special component for the feedback from diagnosis to configuration.
6 citations
TL;DR: CAUSA is a knowledge acquisition tool which supports the incremental modeling of complex dynamic systems during the whole knowledge acquisition task and provides an environment for the modeling and simulation of dynamic systems on a quantitative level.
Abstract: CAUSA is a knowledge acquisition tool which supports the incremental modeling of complex dynamic systems during the whole knowledge acquisition task. It provides an environment for the modeling and simulation of dynamic systems on a quantitative level. The environment provides a conceptual framework which includes primitives like objects, processes, and causal dependencies, allowing for the modeling of a broad class of complex systems. Simulation allows for the quantitative and qualitative inspection and empirical investigation of the behavior of the modeled system. CAUSA is implemented in Knowledge-Craft and runs on a Symbolics 3640.
1 citations