Difference between revisions of "Expert System"
From COST Action FP0804: FORSYS
Semantic.bot (Talk | contribs) (Created page with "Category:Knowledge Management techniques") |
|||
(One intermediate revision by one user not shown) | |||
Line 1: | Line 1: | ||
+ | * Description: Expert systems (or [http://en.wikipedia.org/wiki/Knowledge-based_systems Knowledge-based system]) are designed in such a way that a rulebase and an inference engine are interlinked to simulate the reasoning process that a human expert pursues in analyzing a problem and arriving at a conclusion. In these systems a vast amount of knowledge is stored in the knowledge base. The knowledge base could consist of "if then" statements that resemble the sequence of mental steps that are involved in the human reasoning process. | ||
+ | |||
+ | * Other definitions: [http://www.google.at/search?hl=de&rlz=1R2SUNA_deAT331&q=define%3A+Expert+System&meta= Search the web] | ||
+ | |||
+ | * Examples for the application of ES in forest management: [http://www.myacquire.com/aiinc/pest/ Expert system on Douglas-fir Cone and Seed Insects]; [http://www.myacquire.com/spvegman/expertsystem/ Expert System for Site Preparation and Vegetation Management in Southern Interior British Columbia]; [http://www.nrs.fs.fed.us/tools/outcomes/ Outcomes]; [http://www.nrs.fs.fed.us/tools/silvah/ SILVAH - Decision support for managers of Allegheny hardwood and mixed oak ecosystems] | ||
+ | |||
+ | * Examples for tools to develop an ES:[http://en.wikipedia.org/wiki/NetWeaver_Developer NetWeaver]; | ||
+ | |||
+ | * The following DSS described in the WIKI are using an Expert System to analyse and apply knowledge: | ||
+ | |||
+ | |||
+ | {{#ask:[[Category:DSS]][[Has knowledge management processes.Has KM techniques to analyse and apply knowledge ::Expert System]] | ||
+ | |?Has full name | ||
+ | |?Has input data format | ||
+ | |?Has input data requirements | ||
+ | |?Has output data format | ||
+ | |format=broadtable | ||
+ | |mainlabel=DSSs using an Expert System to analyse and apply knowledge | ||
+ | |default=No DSSs in the WIKI currently supporting this task | ||
+ | |limit=20 | ||
+ | |offset=0 | ||
+ | }} | ||
[[Category:Knowledge Management techniques]] | [[Category:Knowledge Management techniques]] |
Latest revision as of 17:13, 17 April 2013
- Description: Expert systems (or Knowledge-based system) are designed in such a way that a rulebase and an inference engine are interlinked to simulate the reasoning process that a human expert pursues in analyzing a problem and arriving at a conclusion. In these systems a vast amount of knowledge is stored in the knowledge base. The knowledge base could consist of "if then" statements that resemble the sequence of mental steps that are involved in the human reasoning process.
- Other definitions: Search the web
- Examples for the application of ES in forest management: Expert system on Douglas-fir Cone and Seed Insects; Expert System for Site Preparation and Vegetation Management in Southern Interior British Columbia; Outcomes; SILVAH - Decision support for managers of Allegheny hardwood and mixed oak ecosystems
- Examples for tools to develop an ES:NetWeaver;
- The following DSS described in the WIKI are using an Expert System to analyse and apply knowledge:
DSSs using an Expert System to analyse and apply knowledge | Has full name | Has input data format | Has input data requirements | Has output data format |
---|---|---|---|---|
ClimChAlp | Webbased decision support system to explore adaptation options for silviculture in secondary Norway spruce forests in Austria | |||
DSD | Decision Support Dobrova | |||
MyTestDSS | Test | |||
PYL | GISCAME (former: Pimp your landscape - PYL) |