In time series analysis, most estimation of relationships and tests are typically based on linear estimators and most classical co-integration methods and causality tests are based on OLS regresses. However the linear functional specification is not necessarily the most appropriate form. This...

AI automated plan synthesis programs ("planners") typically represent plans as a partially ordered network whose nodes are instants in time and whose arcs are precedence constraints. Such representations are essentially PERT charts. This paper provides an introduction to AI planners and...

Creativity is a result of brain activity which differentiates individuals and could ensure an important competitive advantage for persons, for companies, and for Society in general. Very innovative branches – like software industry, computer industry, car industry – consider creativity as...

Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises different classifier algorithms coupled together by a voting scheme. Accuracy levels are similar to widely used Bayes...

The present paper exposes some of artificial intelligence specific technologies regarding financial sector. Through non-deterministic solutions and simple algorithms, artificial intelligence could become a base alternative for solving financial problems which require complex mathematic...

In recent years, artificial intelligence research has provided new tools and techniques for marketing model builders. These tools, when combined with problem-solving knowledge from a specific domain, can be used to create expert systems. This methodology is most applicable in semistructured...

This paper proposes a taxonomy of consumer purchase strategies based on household decisions about which brand to purchase, how much, and when to purchase in a promotion intensive environment. We infer decision rules at the household level from supermarket scanner panel data and then cluster the...

In the conditions of computing the human society, the operational management activities can be improved by using artificial intelligence. Therefore, an expert system is proposed, for the metallurgical industry, for the casting activity for parts necessary in mining industry.

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...

Expert systems are built with the help of: specialised programming languages or expert system generators (shell). But this structure was reached after tens of years of work and research, because expert systems are nothing but pragmatic capitalisation of the results of research carried out in...