The process of pair partnership formation is an important infrastructure for many plausible MAS applications. Each agent evaluates potential partner agents, where each potential m...
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
In complex strategic situations decision-making agents interact with many other agents and have access to many pieces of information throughout their play. This usually leads to g...
We show how protocols can be derived from norms using landmarks. The resulting protocols can be used by agents to fulfill the norms governing an e-institution without having to h...
Huib Aldewereld, Frank Dignum, John-Jules Ch. Meye...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...