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...
We define trust-based mechanism design as an augmentation of traditional mechanism design in which agents take into account the degree of trust that they have in their counterpar...
Rajdeep K. Dash, Sarvapali D. Ramchurn, Nicholas R...
In this paper, we combine for the first time the methods of dynamic mechanism design with techniques from decentralized decision making under uncertainty. Consider a multi-agent s...
Current IT application domains such as web services and autonomic computing call for highly flexible systems, able to automatically adapt to changing operational environments as w...
Loris Penserini, Anna Perini, Angelo Susi, John My...
We explore settings where a principal must make a decision about which action to take to achieve a desired outcome. The principal elicits the probability of achieving the outcome ...