Agents that reduce work and information overload
Communications of the ACM
The ant colony optimization meta-heuristic
New ideas in optimization
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
CoFIND — an experiment in N-dimensional collaborative filtering
Journal of Network and Computer Applications
Future Generation Computer Systems
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Computational & Mathematical Organization Theory
User Modeling and User-Adapted Interaction
A comprehensive review of nature inspired routing algorithms for fixed telecommunication networks
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Using a style-based ant colony system for adaptive learning
Expert Systems with Applications: An International Journal
An attribute-based ant colony system for adaptive learning object recommendation
Expert Systems with Applications: An International Journal
Ant Colony Models for a Virtual Educational Environment Based on a Multi-Agent System
Large-Scale Scientific Computing
MOT 2.0: A Case Study on the Usefuleness of Social Modeling for Personalized E-Learning Systems
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
A new sequencing method in web-based education
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Towards adaptation in e-learning 2.0
The New Review of Hypermedia and Multimedia
A survey of environments and mechanisms for human-human stigmergy
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Building Socially-Aware E-Learning Systems Through Knowledge Management
International Journal of Knowledge Management
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Stigmergic agents SA gather their strength from the ant colony metaphor and multi-agent systems MAS. Ant-based systems provide a means of picking up information through indirect communication by exhibiting stigmergic ant behaviour and MAS lends the benefits of direct interaction among the agents. This paper presents a stigmergic agent framework for adaptive content sequencing ACS in e-learning using SA ACSeLSA. Each learner enrolled in the designed e-course has a personalised stigmergic agent PSA that employs an ant-based adaptive content sequencing algorithm, ACSeLAnt, to generate customised content sequence for him/her. By implementing ACSeLAnt, each PSA: 1 exhibits stigmergic behaviour of producing its own pheromone trails and sensing those of other learners to generate the content sequence; 2 elicits recommendations of other similar learners through direct communication with their PSAs and incorporates them into the content sequencing process. The merger is beneficial for knowledge sharing in e-learning systems where there is a dearth of active dialogue among learners.