|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Computer programming, programs & data|
|Abstract||There is a need for combining qualitative and quantitative simulation to do simulation tasks that are unsuited to either one alone. This task is made more difficult by the fact that available quantitative information may be incomplete, bounding values with intervals or describing them with probability density functions. This research demonstrates the combination of qualitative and quantitative simulation in an implemented system called Q3. Q3 utilizes partial or complete quantitative information, progressively refining a qualitative simulation in a process that provides increasingly specific numeric predictions.|
|Description||Affiliation: USC/Information Sciences Institute 4676 Admiralty Way Marina del Rey, CA 90292-6695 USA (310) 822-1511 sigart@.isi.edu (Johnson, Lewis)|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Collection|
|Publisher Place||New York|
|Journal||ACM SIGART Bulletin (SGAR)|
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