A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
We present a polynomial-time reduction from parity games with imperfect information to safety games with imperfect information. Similar reductions for games with perfect informatio...
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
Under the environment of Service-Oriented Architecture (SOA), service users have to decide how to choose the proper provider from the candidates to obtain optimal service level. Th...
Most supermarket firms choose to position themselves by offering either "Every Day Low Prices" (EDLP) across several items or offering temporary price reductions (promot...