Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
Methodologies for multiagent system development should assist the developer in making decisions about those aspects of the analysis, design and implementation, that are crucial fo...
Mehdi Dastani, Joris Hulstijn, Frank Dignum, John-...
In most practical situations, agents need to continuously improve or repair their plans. In a multiagent system agents also need to coordinate their plans. Consequently, we need me...
This paper presents a multiagent system that provides guidance on leisure facilities and suggestions for shopping in malls. This paper presents a deliberative agent which incorpora...
OCAMS is a practical engineering application of multi-agent systems technology, involving redesign of the tools and practices in a complex, distributed system. OCAMS is designed to...
William J. Clancey, Maarten Sierhuis, Chin Seah, C...
This paper describes a multiagent system that has made the voyage from research project to commercialised product. The purpose for the multiagent system is to dynamically control ...
Fredrik Wernstedt, Paul Davidsson, Christian Johan...
This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
DEC-POMDPs provide formal models of many cooperative multiagent problems, but their complexity is NEXP-complete in general. We investigate a sub-class of DEC-POMDPs termed multiage...
The agents in multiagent systems can coordinate their actions and handle tasks jointly by forming coalitions. One of the important steps in this process is the fair division of pa...
In presence of reconfigurable environments, such as AmI systems, the orchestration and coordination of more devices involved in the execution of services requested by users is of...