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 an approach for optimizing the performance of information agents by materializing useful information . A critical problem with information agents, particularly those ga...
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Abstract. While agents and environments are two intimately connected concepts, most approaches for multi-agent development focus on the agent-specific part of the system, whereas ...
Abstract. The field of Software Product Lines (SPL) emphasizes building a family of software products from which concrete products can be derived rapidly. This helps to reduce time...