A new post-training approach, CoSIR, is introduced to teach collaboration behaviors in multi-agent systems by sharing relevant evidence, requesting missing information, and incorporating teammates' contributions into decisions. CoSIR uses a Bayesian evaluator to score shared information and rewards agents for using received information in their private choices and calculations.