John Searle has argued against the viability of strong versions of artificial intelligence. His most well-known counter-example is the Chinese Room thought experiment where he stressed that syntax is not semantics. We reason by analogy to highlight previously unnoticed similarities between...

There is an urgent need for more efficient and effective design, targeting and implementation of interventions to reduce regional imbalances in development. To do so, development agencies and practitioners need to articulate uneven regional development as regional inequalities in, and patterns...

The paper aims at achieving two objectives: identifying why it is important to increase managerial capabilities in financial monitoring-and-evaluating activities in Indonesian Garment Medium Scale Manufacturers (IGMS); determining how a hybrid Knowledge-based System (KBS) can help improve the...

The paper represents a personal approach upon the main applications of classification which are presented in the area of knowledge based society by means of methods and techniques widely spread in the literature. Text classification is underlined in chapter two where the main techniques used are...

The implementation of an efficient university knowledge management system involves the de-velopment of several software tools that assist the decision making process for the three main activities of a university: teaching, research, and management. Artificial intelligence provides a variety of...

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 unpredictability of returns counts as a stylized fact of financial markets. To reproduce this fact, modelers usually implement noise terms - a method with several downsides. Above all, systematic patterns are not eliminated but merely blurred. The present article introduces a model in which...

In the insurance business, two things are considered when analysing losses: frequency of loss and severity of loss. Previous research investigated the use of artificial Neural Networks (NNs) to develop models as aids to the insurance underwriter when determining acceptability and price on...

In this paper, inspired from our previous algorithm, which was based on the theory of Tsallis statistical mechanics, we develop a new evolving stochastic learning algorithm for neural networks. The new algorithm combines deterministic and stochastic search steps by employing a different adaptive...

Intelligent agents, intelligent software applications and artificial intelligent applications from artificial intelligence service providers may make their way onto the Web in greater number as adaptive software, dynamic programming languages and Learning Algorithms are introduced into Web...