Social and intentional behaviours appear as two main components of the agent paradigm. Methods of conventional software engineering do not seem to be appropriate to gain a full kno...
We present the first real-world benchmark for sequentiallyoptimal team formation, working within the framework of a class of online football prediction games known as Fantasy Foo...
Tim Matthews, Sarvapali D. Ramchurn, Georgios Chal...
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
Abstract. Software agents are a promising technology for today's complex, distributed systems. Methodologies and techniques that address testing and reliability of multi agent...
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...