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...

The paper analyses and compares the merit order effects of photovoltaic and wind power on final electricity prices in the Spanish spot market and the cost of electricity tariffs. Artificial intelligence techniques are used to model the electricity auction clearing process. Several algorithms are...

This paper suggests a new stochastic expert framework to investigate the charging effect of plug-in hybrid electric vehicles (PHEVs) on the optimal operation and management of micro-grids (MGs). In this way, a useful method based on smart charging approach is proposed to consider the charging...

You do not have to look far and we can see that every electronic device is built around at least one processor which is a miniature brain, in the most simplified way (borrows a few features that help to control that device). Scientists try to simulate a brain to fully comply with the biological...

The purpose of the paper is to model the process of rule generation by firms that must allocate their resources between physical assets, training, and R&D, and to study the microeconomic performances as well as the aggregate outcomes. The framework is a complete micro-macroeconomic...

With increasing complexity of construction industry problems, researchers are experimenting with computationally rigorous techniques with the aim of seeking innovative solutions. In order to trace the applications of quantitative analysis techniques to research in the two fields of construction...

We analyze the co-evolution of the performances of firms and of the economy in an evolutionary micro-to-macro model of the Swedish economy. The model emphasizes the interactions between human capital (or competences) and technological change at the firm level and their effects on aggregate...

Throughout the history man has considered gold as a precious metal and its forcast has always been important. Traditional methods of forcast, e.g.Regresion, ARIMA, Exponential Smoothing, Moving Average, and methods of this kind have been applied. Only recently Artificial Intelligence, Neural...