A probabilistic relational model for characterizing situations in dynamic multi-agent systems

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2008, Pages 269-276

  Meyer Delius, Daniel ^a   Plagemann, Christian ^a   Von Wichert, Georg ^b   Feiten, Wendelin ^b   Lawitzky, Gisbert ^b   Burgard, Wolfram ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; HIDDEN MARKOV MODELS; INFORMATION ANALYSIS; MACHINE LEARNING; SEMANTICS;

ARTIFICIAL SYSTEMS; DEGREE OF AUTONOMY; ESTIMATED STATE; MULTIPLE AGENTS; ON-LINE TRAFFIC; PROBABILISTIC RELATIONAL MODELS; SEMANTIC INFORMATION; UNDERLYING DYNAMICS;

MULTI AGENT SYSTEMS;

EID: 84879559677     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-78246-9_32     Document Type: Conference Paper

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