Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Applications of intelligent agents
Agent technology
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
The ant colony optimization meta-heuristic
New ideas in optimization
Multiagent diffusion and distributed optimization
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Multi-agent system model for optimization the monitoring process within a Natura 2000 site
MCBC'08 Proceedings of the 9th WSEAS International Conference on Mathematics & Computers In Biology & Chemistry
Models for a multi-agent system based on wasp-like behaviour for distributed patients repartition
EC'08 Proceedings of the 9th WSEAS International Conference on Evolutionary Computing
Stigmergic agent-based adaptive content sequencing in an e-learning environment
International Journal of Advanced Intelligence Paradigms
| Hi-index | 0.00 |
We have designed a virtual learning environment where students interact through their computers and with the software agents in order to achieve a common educational goal. The Multi-Agent System (MAS) consisting of autonomous, cognitive and social agents communicating by messages is used to provide a group decision support system for the learning environment. Learning objects are distributed in a network and have different weights in function of their relevance to a specific educational goal. The relevance of a learning object can change in time; it is affected by students', agents' and teachers' evaluation. We have used an ant colony behavior model for the agents that play the role of a tutor and organizing the group-work activities for the students.