We propose a decentralized auction-based algorithm for the solution of dynamic task allocation problems spatially distributed multi-agent systems. In our approach, each member team is assigned to at most one from set tasks, while several agents can be allocated same task. The assignment since it updated discrete time stages (iterations) account current states as latter move towards tasks them p...