: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
In this paper a synthetic mobility model which represents behavior and movement pattern of heterogeneous units in disaster relief and battlefield scenarios is proposed. These oper...
Norms defined by institutions and enforced by organizations have been put forward as a mechanism to increase the efficiency and reliability of electronic transactions carried out ...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
: We consider socio-technical processes, i.e. processes where machines as well as humans participate. Typical examples occur in sales processes in e-commerce. Three modeling tasks ...