Today, researchers have at their disposal, the required hardware, software, and sensor technologies to build intelligent autonomous systems. More, they are also in possession of some computational tool such as Fuzzy Logic(FL), Neural Networks (NN), Expert system(ES), Genetic Algorithms (GA) and other more technologies that are more effective in the design and development of intelligent autonomo...

With advancement in computer science research on artificial intelligence and in cognitive psychology research on human learning and performance, the next generation of computerbased tutoring systems moved beyond the simple presentation of pages of text or graphics. These new intelligent tutoring systems (ITSs) called cognitive tutors; incorporated modeltracing technology which is a cognitive mo...

Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. This paper describes the taxonomy and nature of intelligence. It analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intel...

Agents and agent systems are becoming more and more important in the development of a variety of fields such as ubiquitous computing, ambient intelligence, autonomous computing, intelligent systems and intelligent robotics. The need for improvement of our basic knowledge on agents is very essential. We take a systematic approach and present extended classification of artificial agents which can...

Computer-assisted language learning is a research field which explores the use of computational methods and techniques as well as new media for language learning and teaching. Recently, an increasing number of language learning systems have been developed which adopt Artificial Intelligence techniques. This paper provides an overview about intelligent computer-assisted language learning. The mo...

The Artificial Immune Intelligent Maintenance System (AI2MS) is an architecture proposal for a Distributed Intelligent Maintenance System (IMS) using Artificial Immune Systems concepts. Equipment has its own embedded AIS, performing a local diagnosis. This proposal is modeled and implemented using multiagent systems, where every autonomous IMS is mapped to a set of local agents, while the commu...

deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. in this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. also, because of power market and generators’ forced outages stochastic behavior, monte carlo simulation is used for reliability evaluation. generation reli...

This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (CSCL), Multi-Agent Systems (MAS) and the artificial intelligence techniques called: Instructional Planning (IP) and Case-Based Reasoning (CBR). Finally ALLEGRO is presented, a MAS environment of support to the teaching/...

Given the fragility of today’s intelligent systems, we consider the necessity of creativity in systems designed for artificial general intelligence. We examine an archetypical creativity “algorithm” suggested by Czikzentmihalyi in the context of computational systems, and, in particular consider the computability of such an algorithm. We argue that it is likely not computable, in the Turing sen...

Intelligent agents and multiagent systems (MAS) provide a scalable approach to distributed artificial intelligence [3]. Analogous to intelligent biological entities, agent-based computational systems may become quite complex. Some may consist of multiple cooperating groups, each providing a specialized subset of the total required functionality [4, 6]. My work focuses on engineering multigroup ...