: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...