Probabilistic knowledge representation and reasoning at maximum entropy by SPIRIT

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1137, Issue , 1996, Pages 273-285

  Meyer, Carl Heinz ^a   Rödder, Wilhelm ^a  

^a UNIVERSITY OF HAGEN   (Germany)

Author keywords

Expert system; Maximum entropy; Uncertain reasoning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIRECTED GRAPHS; ENTROPY; EXPERT SYSTEMS; FORMAL LOGIC; KNOWLEDGE ACQUISITION; KNOWLEDGE REPRESENTATION; MAXIMUM ENTROPY METHODS; PROBABILITY; QUERY PROCESSING;

CONDITIONAL PROBABILITIES; DIRECTED ACYCLIC GRAPH (DAG); EXPERT SYSTEM SHELLS; KNOWLEDGE PROCESSING; PRINCIPLE OF MAXIMUM ENTROPY; PROBABILISTIC KNOWLEDGE; PROPOSITIONAL LOGIC; UNCERTAIN REASONING;

PROBABILITY DISTRIBUTIONS;

EID: 84958550838     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61708-6_67     Document Type: Conference Paper

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