A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
Legacy system data models can interoperate only if their syntactic and semantic differences are resolved. To address this problem, we developed the Intelligent Mapping Toolkit (IM...
Kalyan Moy Gupta, Michael Zang, Adam Gray, David W...
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy lo...
This paper describes a multi-agent system, GraniteNights, modelled on the Agentcities project “evening agent” scenario. GraniteNights allows a user to plan an evening’s enter...
Gunnar Aastrand Grimnes, Stuart Chalmers, Peter Ed...