Semantic Annotation of Resources of Distance Learning Based Intelligent Agents

A Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents

Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Outsourcing or Insourcing of Transportation System Evaluation Using Intelligent Agents Approach

Nowadays, outsourcing is viewed as a trade strategy and organizations tend to adopt new strategies to achieve competitive advantages in the current world of business. focusing on main copmpetencies, and transferring most of activities to outside resources of organization( outsourcing) is one such strategy is. In this paper, we aim to decide on decision maker agent of transportation system, by a...

Application of Semantic Web and Personal Agents in Distance Learning Systems

Personal agents are proactive and adaptable intelligent agents who meet the demands of individuals. The use of personal agents will become fully prominent when the intelligent agents are provided with mechanisms for understanding the contents of document they access. Making it possible for the intelligent agents to understand semantics of the documents published on the Web is the central task i...

Towards an Optimized Design of Individualized Learning Paths: an Approach Based on Ontology and Multi-agents System

In this paper we present an intelligent architecture, oriented goals, to create individualized learning paths. The adaptation of learning paths to learner profiles is an area of research growing. More research in this field has shown that taking into account the preferences and learning styles of learners improve the quality of the teaching/learning; thus, the collection of information characte...