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» Training Agents: An Architecture for Reusability
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AAAI
2007
13 years 10 months ago
Learning by Combining Observations and User Edits
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
PAMI
2010
218views more  PAMI 2010»
13 years 2 months ago
A Coupled Duration-Focused Architecture for Real-Time Music-to-Score Alignment
Abstract--The capacity for realtime synchronization and coordination is a common ability among trained musicians performing a music score that presents an interesting challenge for...
Arshia Cont
TSMC
2002
105views more  TSMC 2002»
13 years 7 months ago
V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
ATAL
2008
Springer
13 years 9 months ago
Reusing models in multi-agent simulation with software components
on models are abstract representations of systems one wants to study through computer simulation. In multiagent based simulation, such models usually represent agents and their re...
Paulo Salem da Silva, Ana Cristina Vieira de Melo
INFSOF
2000
109views more  INFSOF 2000»
13 years 7 months ago
Constructing component-based software engineering environments: issues and experiences
Developing software engineering tools is a difficult task, and the environments in which these tools are deployed continually evolve as software developers' processes, tools ...
John C. Grundy, Warwick B. Mugridge, John G. Hoski...