In Multi-agent based simulation (MABS) systems, computational models are built as multi-agent systems (MAS). Replication of these models can contribute to improve the reliability o...
As part of the Illinois Digital Library Initiative (DLI) project we developed “scalable semantics” technologies. These statistical techniques enabled us to index large collect...
Yi-Ming Chung, Qin He, Kevin Powell, Bruce R. Scha...
AdvanceobjectorientedcomputingplatformsuchastheCommonObjectRequestBrokerArchitecture (CORBA) provides a conducive and standardized framework for the development of distributed appl...
Hung Keng Pung, Wynne Hsu, Bhawani S. Sapkota, Law...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
: Heterogeneous wireless sensor networks represent a challenging programming environment. Servilla addresses this by offering a new middleware framework that provides service provi...