Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
— Many architectures have been proposed to solve tightly-coupled multirobot tasks (MT) through coalitions of heterogeneous robots. However, several issues remain unaddressed. As ...
Paxos is a well known algorithm for achieving consensus in distributed environments with uncertain processing and communication timing. Implementations of its variants have been s...
Chryssis Georgiou, Procopis Hadjiprocopiou, Peter ...
Abstract--In this paper we analyze the energy-efficiency of distributed compression and its dependence on the node deployment strategies for Wireless Sensor Networks (WSNs). Reduce...
Abstract. The paper presents the preliminary version of Ontobella - a domain ontology of beliefs. The philosophical assumptions of this system are taken from the philosophy of Roma...
Pawel Garbacz, Marek Lechniak, Piotr Kulicki, Robe...