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CONTEXT
2001
Springer
13 years 10 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
ICNS
2006
IEEE
13 years 11 months ago
MojaveComm: A Robust Group Communication Library for Grid Environments
This paper introduces a fault-tolerant group communication protocol that is aimed at grid and wide area environments. The protocol has two layers. The lower layer provides a total...
Cristian Tapus, David A. Noblet, Jason Hickey
IAT
2010
IEEE
13 years 3 months ago
Modeling Dynamic Groups for Agent-Based Pedestrian Crowd Simulations
Group modeling is still an open challenge problem in pedestrian crowd simulations. Most existing work is based on socio-psychological models which can only describe the dynamics o...
Fasheng Qiu, Xiaolin Hu
CA
2003
IEEE
13 years 10 months ago
Modeling Individual Behaviors in Crowd Simulation
This paper presents a model for studying the impact of individual agents characteristics in emergent groups, on the evacuation efficiency as a result of local interactions. We use...
Adriana Braun, Soraia Raupp Musse, Luiz Paulo Luna...
DSN
2005
IEEE
13 years 11 months ago
Testing the Dependability and Performance of Group Communication Based Database Replication Protocols
Database replication based on group communication systems has recently been proposed as an efficient and resilient solution for large-scale data management. However, its evaluati...
A. Sousa, José Pereira, L. Soares, Alfr&aci...