Pii: S0954-1810(98)00009-0

Efficient planning for a miniature assembly line

This paper presents a provably correct and efficient, polynomial time, planning tool and its application to a miniature assembly line for toy cars. Although somewhat limited, this process has many similarities with real industrial processes. One of our previous polynomial-time planning algorithms has been extended and adapted to work for a larger class of planning problems, including this parti...

Automatic diagnosis with genetic algorithms and case-based reasoning

Pii: S0954-1810(98)00012-0

Autonomous vehicles must be able to navigate freely in a constrained and unknown environment while performing a desired task. To increase its autonomy, a vehicle must be provided by sophisticated software navigators. Traditionally, navigators build a convenient model of the vehicle’s environment and plan feasible paths by reasoning about what actions must be performed to control the vehicle in ...

The structure of a physical behaviour description facility

Many computer simulations, experimental testing and monitoring of physical systems produce vast amounts of quantitative data. These data have always been assimilated by trained and experienced personnel. Human beings use qualitative representations naturally for efficient decision making. An automated system which can provide such qualitative descriptions can be useful in various disciplines fo...

Artificial neural networks as applied to long-term demand forecasting

This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecasting. The ANN model is used to forecast the energy requirements of an electric utility. It is then compared to time series models. The comparison reveals that the ANN produces results that are close to the actual data. The ANN model is then used to forecast the annual peak demand of a Middle Easte...