This aim of this paper is to present the Multi-Agent Systems. Later is presented ALLEGRO: A Teaching/Learning Multi-Agent Environment. ALLEGRO is an intelligent environment that includes artificial intelligence mechanisms (Instructional Planning IP, Cased-Based Reasoning CBR, Multi-Agent Systems MAS, Intelligent Tutoring Systems ITS, and Computer Supported Collaborative Learning CSCL).

In this paper we presents how the traditional learning styles are reformed by E-Learning Systems and now a days due to rapid technological enhancements they are refitted by Intelligent E-Learning systems. We discuss the artificial intelligence techniques used in implementing the Intelligent Learning systems IITS.

Recently, computational agents received significant attention in computer science research community. In fact, intelligent agents is a powerful artificial intelligence technology showing considerable promise as a new paradigm for mainstream software development and able to offer new ways of abstraction, decomposition, and organization that fit well with our natural view of the world. However, d...

In order to implement artificial intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whe...

The purpose of this study is to design and develop an anthropomorphic based eye-system, used in the intelligent huggable robot ANTY. The intelligent huggable robot ANTY aspires social children-robot interactions relying on face-to-face communication. The anatomy of an anthropomorphic eye and its movements are presented and linked to the design of the artificial robot eye-system.

We describe an approach, based on artificial forms of selective attention, for overcoming the problem of information and interruption overload of intelligent agents. Inspired on natural selective attention studies, we propose a computational model of selective attention that relies on the assumption that uncertain, surprising and motive congruent/incongruent information demands attention from a...

Artificial intelligence is the branch of computer science concerned with making computers behave like humans, i.e., with automation of intelligent behavior. Artificial intelligence includes game playing, expert systems, natural language, and robotics. The area may be subdivided into two main branches. The first branch, cognitive science, has a strong affiliation with psychology. The goal is her...

The relevance of this paper in today’s ICT driven society is to ensure that PC buyers are assisted on decision making in PC purchasing. Development of an artificial intelligence advisory system (AIAS) that uses artificial neural network (ANN) as its knowledge base appears to be a promising method for offering expert advise to intended PC users such as schools, organizations, banks and the amate...

This thesis describes and evaluates a market-making algorithm for setting prices in financial markets with asymmetric information, and analyzes the properties of artificial markets in which the algorithm is used. The core of our algorithm is a technique for maintaining an online probability density estimate of the underlying value of a stock. Previous theoretical work on market-making has led t...