摘要：This paper analyses aspects about the recommendation process in distributed
information systems. It extracts similarities and differences between
recommendations in e-stores and the recommendations applied to an e-learning
environment. It also explains the phenomena of self-organization and cooperative
emergence in complex systems coupled with bio-inspired algorithms to improve
knowledge discovery and association rules. Finally, the present recommendation
is applied to e-learning by proposing recommendation by emergence in a
Multi-Agent System architecture.
