Nowadays, software systems are more and more frequently designed in order to realize complex dynamical behavior for solving complicated problems. Holonic Multi Agent Systems (HMAS...
Drug and vaccination therapies are important tools in the battle against infectious diseases such as HIV and influenza. However, many viruses, including HIV, can rapidly escape t...
Agents operating in complex (e.g., dynamic, uncertain, partially observable) environments must gather information from various sources to inform their incomplete knowledge. Two po...
Reinforcement learning (RL) is a well-established paradigm for enabling autonomous agents to learn from experience. To enable RL to scale to any but the smallest domains, it sary ...
We propose the problem of predicting a bundle of goods, where the goods considered is a set of spatial locations that an agent wishes to visit. This typically arises in the touris...
Truc Viet Le, Siyuan Liu, Hoong Chuin Lau, Ramayya...
Situations akin to public deliberation leading to preference changes are modelled. A set of agents is considered, each endowed with a preference relation over a set of objects and...
In Boolean games, agents uniquely control a set of propositional variables, and aim at achieving a goal formula whose realisation might depend on the choices the other agents make...
Paul Harrenstein, Paolo Turrini, Michael Wooldridg...