Although there are different definitions of autonomous agents, one of their features should probably be the flexibility of choice an autonomous agent should have on how and with which other agents it should co-operate. The TYCOON framework is introduced for studying co-operation between agents. The framework includes on one hand a typology including six types of co-operation between agents (transfer, equivalence, specialization, redundancy, 'complementarity' and concurrency), and on the other hand the associate algorithms for computing metrics of co-operative behaviour. It is described how the framework can be applied to two different problem-solving tasks: a simple variable binding task and a more complex multimodal collective presentation task. I believe that these TYCOON low-level specifications of co-operation between agents might be useful as building blocks for bridging the gap between experimental human behaviour analysis and the modelling of higher-level co-operation-related attitudes related to autonomy, delegation and control.