IJCAI-95 Workshop on Adaptation and Learning in Multiagent Systems (original) (raw)

The Workshop on Adaptation and Learning in Multiagent Systems, held at IJCAI-95, aimed to explore effective learning techniques tailored for multiagent environments. Key topics included the advantages of adaptive agents, the applicability of various learning systems, and strategies for navigating interactions between cooperative and selfish agents. The workshop highlighted the need for flexible adaptation mechanisms in the face of changing agent dynamics and introduced several research issues related to agent relationships, modeling, and environmental feedback that remain to be investigated.