Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/hci/MobusEGZ09
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Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios.
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digital human response models; probabilistic driver models; Bayesian autonomous driver models; learning of human control strategies; graphical modeling; human behavior learning and transfer; distributed cognition; mixture-of-experts model; visual attention allocation; partial cooperative problem solvers; partial autonomous assistance system; Bayesian assistance system; shared space; probabilistic detection of anomalies; driver assistance systems; traffic agents; dynamic Bayesian networks; hidden Markov models; between-vehicle-cooperation; within-vehicle-cooperation
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Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios.
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