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» Agents in Proactive Environments
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IBPRIA
2005
Springer
15 years 6 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
102
Voted
ASM
2004
ASM
15 years 6 months ago
Intra-step Interaction
For a while it seemed possible to pretend that all interaction between an algorithm and its environment occurs inter-step, but not anymore. Andreas Blass, Benjamin Rossman and the ...
Yuri Gurevich
94
Voted
ATAL
2003
Springer
15 years 5 months ago
MONAD: a flexible architecture for multi-agent control
Research in multi-agent systems has led to the development of many multi-agent control architectures. However, we believe that there is currently no known optimal structure for mu...
Thuc Vu, Jared Go, Gal A. Kaminka, Manuela M. Velo...
ICML
2004
IEEE
16 years 1 months ago
Utile distinction hidden Markov models
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Daan Wierstra, Marco Wiering
83
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ICSE
2005
IEEE-ACM
16 years 23 days ago
Monitoring and control in scenario-based requirements analysis
Scenarios are an effective means for eliciting, validating and documenting requirements. At the requirements level, scenarios describe sequences of interactions between the softwa...
Emmanuel Letier, Jeff Kramer, Jeff Magee, Sebasti&...