Learning and exploiting knowledge in multi-agent task allocation problems

Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own skill levels through failed attempts at completing the tasks they are assigned. How will various task allocation approaches perform when there exists this added level of complexity… CONTINUE READING