1. Group: Agent Learning, differnet approaches E.g.: Agent models – social relations – model dynamics Effects of actions Goal-based, Planning Dramatic trajectory of agents Action selection Speech Learning : starting form simple sounds to learn a simple spoken language Unsupervised learing Sounds (like „uhhh“, „aaahhh“ vowels) have semantic meaning RFID interaction

2. Senario Sprites (1): Hunting for food with sprites because you need also food – joining hunting group Mechs also on a hunt, Sprites dont like mechs What to do with the mechs / confilct solving What do they win with each, moral dilemma

3. Senario Sprites (2): Mechs have a disease, their cientists discovered a cure, BUT they need sprites They have to interact with a cuture they had forgot for ages Technology: Projection of the environments RFIDs for user detection Gesture or infra-red tracking for navigation Speech recognition for „magic words“ Speech generation for „feedback“ Mobile phones as transportation devices