In recent years, the government, of African Countries has assumed major responsibilities for economic reforms and growth. In attempting to describe their economies, economists (policymakers) in many African Countries have applied certain models that are by now widely known: Linear programming...

The economic, social, demographic, technological achievements, uneven distribution of raw materials, energy resources, require the opening of all economic systems. Mathematical models, came to help the arguments in this case, I propose a way to "experience" what the real situation is impossible....

We are interested in forecasting bankruptcies in a probabilistic way. Specifcally, we com- pare the classification performance of several statistical and machine-learning techniques, namely discriminant analysis (Altman's Z-score), logistic regression, least-squares support vector machines and...

This paper addresses the question of whether neural networks (NNs), a realistic cognitive model of human information processing, can learn to backward induce in a two-stage game with a unique subgame-perfect Nash equilibrium. The NNs were found to predict the Nash equilibrium approximately 70%...

This paper addresses how neural networks learn to play one-shot normal form games through experience in an environment of randomly generated game payoffs and randomly selected opponents. This agent based computational approach allows the modeling of learning all strategic types of normal form...

The DARPA Grand Challenge in which the Cornell Racing Team participates requires the completion of a Simulator, which purports all errors in the artificial intelligence path planning down below and back up. The simulator comes as the last layer in the top down approach followed by the Cornell...

It is very important to a company to select the best program based on its needs, especially there are hundreds of programs, similar in general, different in price and functions. Many companies do only comparing between those programs, trying to select the best on this comparison. This article...

This article describes an expert system, COT-XPERT, developed for controlling insects and diseases affecting cotton crop as well as system for Rice Stem Borers (RSB) simulation. The system works in two parts. The first part addresses the issues of efficient use of knowledge for RSB problems and...

This paper reports on the design of a novel two-stage mechanism, based on strictly proper scoring rules, that motivates selfish rational agents to make a costly probabilistic estimate or forecast of a specified precision and report it truthfully to a centre. Our mechanism is applied in a setting...

This article describes an expert system, COT-XPERT, developed for controlling pests and diseases affecting cotton crop as well as a system for Rice Stem Borers (RSB) simulation. The system works in two parts: The first part addresses the issues of efficient use of knowledge for RSB problem and...