Logo des Repositoriums
 

Probabilistic and Empirical Grounded Modeling of Agents in Partial Cooperative (Traffic) Scenarios

dc.contributor.authorMöbus, Claus
dc.contributor.editorLucke, Ulrikede_DE
dc.contributor.editorKindsmüller, Martin Christofde_DE
dc.contributor.editorFischer, Stefande_DE
dc.contributor.editorHerczeg, Michaelde_DE
dc.contributor.editorSeehusen, Silkede_DE
dc.date.accessioned2017-11-22T14:42:39Z
dc.date.available2017-11-22T14:42:39Z
dc.date.issued2008
dc.description.abstractTraffic scenarios can be regarded as problem situations with one or more (partial) cooperative problem solvers. Solving such a problem successfully requires (nonverbal) communication and distributed cognition. This is especially true when traffic is deregulated as in the shared space concept. Each traffic agent has a set of beliefs concerning his state, his goals, and the future behavior of the other agents. Risky but fortunately rare maneuvers can occur anytime. We call these risky maneuvers anomalies (eg. Verletzung der Vorfahrt, riskantes Auffahren, Einscheren, Überholen, ...). An experienced car driver is able to anticipate these anomalies. Novices and handicapped persons do not. It is expected that assistance systems could enhance the situation awareness and the communication competencies of unskilled or non-cooperative drivers. The design challenge for intelligent assistance systems is to model the behavior of traffic agents and diagnose these anomalies. We propose probabilistic models for these challenges.de_DE
dc.identifier.isbn978-3-8325-2007-6en_US
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/7037
dc.language.isoende_DE
dc.publisherLogos Verlagde_DE
dc.relation.ispartofWorkshop Proceedings der Tagungen Mensch & Computer 2008, DeLFI 2008 und Cognitive Design 2008de_DE
dc.titleProbabilistic and Empirical Grounded Modeling of Agents in Partial Cooperative (Traffic) Scenariosde_DE
dc.typeText/Conference Paperde_DE
gi.citation.endPage144
gi.citation.publisherPlaceBerlinde_DE
gi.citation.startPage142de_DE
gi.conference.sessiontitleModellierung und Simulation von Teams in sicherheitskritischen Mensch-Maschine-Systemende_DE
gi.document.qualitydigidocde_DE

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
Moebus_2008.pdf
Größe:
494.32 KB
Format:
Adobe Portable Document Format