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Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems

Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2e49e75f9d544ccf9371f2c0c0dfc074

Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems

About this item

Full title

Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems

Publisher

Switzerland: MDPI

Journal title

Sensors (Basel, Switzerland), 2019-03, Vol.19 (5), p.1206

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

Taiwan has suffered from widespread haze and poor air quality during recent years, and the control of indoor air quality has become an important topic. This study relies on Multi-Agent theory in which collected air quality was used in calculations and after agents make decisions in accordance with pre-written rules to construct and indoor air quali...

Alternative Titles

Full title

Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2e49e75f9d544ccf9371f2c0c0dfc074

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2e49e75f9d544ccf9371f2c0c0dfc074

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s19051206

How to access this item