Incremental knowledge acquisition for improving probabilistic search algorithms

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3257, Issue , 2004, Pages 248-264

  Bekmann, J P ^a,b   Hoffmann, Achim ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; ENCODING (SYMBOLS); GENETIC ALGORITHMS; HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL OPERATORS; OPTIMIZATION; PROBABILITY; SIMULATED ANNEALING; VLSI CIRCUITS; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; PROBLEM SOLVING; SEMANTIC WEB;

EVOLUTIONARY PROCESSES; KNOWLEDGE BASES (KB); PROBABILISTIC SEARCH ALGORITHMS; RIPPLE DOWN RULES (RDR) STRUCTURE; COMBINATORIAL PROBLEM; FITNESS FUNCTIONS; INCREMENTAL KNOWLEDGE ACQUISITION; MUTATION OPERATORS; PROBABILISTIC ALGORITHM; SEARCH PROCEDURES; SEARCH STRATEGIES;

KNOWLEDGE ACQUISITION; ALGORITHMS;

EID: 22944477376     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30202-5_17     Document Type: Conference Paper

References (12)

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