Time granularity in simulation models of ecological systems:
Abstract: "Granularity of time is an important issue for the understanding of how actions performed at coarse levels of time interact with others, working at finer levels. However, it has not received much attention from most AI work on temporal logic. In traditional domains of application (e.g...
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Edinburgh
1995
|
Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
740 |
Schlagworte: | |
Zusammenfassung: | Abstract: "Granularity of time is an important issue for the understanding of how actions performed at coarse levels of time interact with others, working at finer levels. However, it has not received much attention from most AI work on temporal logic. In traditional domains of application (e.g. databases, planning, natural language, etc.), we may not need to consider it as a problem, but it becomes important in more complex domains, such as ecological modelling. In this domain, aggregation of processes working at different time granularities is very difficult to do reliably. We have proposed a new time granularity theory based on modular temporal classes, and have developed a temporal reasoning system to reason about seasonal cycles. This time theory may be a suitable framework for an executable temporal logic for the specification of ecological models, where each ecological entity is an active agent." |
Beschreibung: | [18] S. |
Internformat
MARC
LEADER | 00000nam a2200000 cb4500 | ||
---|---|---|---|
001 | BV011043719 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 961107s1995 |||| 00||| engod | ||
035 | |a (OCoLC)34820520 | ||
035 | |a (DE-599)BVBBV011043719 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a eng | |
049 | |a DE-91G | ||
245 | 1 | 0 | |a Time granularity in simulation models of ecological systems |c Mota, E. ... |
264 | 1 | |a Edinburgh |c 1995 | |
300 | |a [18] S. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 740 | |
520 | 3 | |a Abstract: "Granularity of time is an important issue for the understanding of how actions performed at coarse levels of time interact with others, working at finer levels. However, it has not received much attention from most AI work on temporal logic. In traditional domains of application (e.g. databases, planning, natural language, etc.), we may not need to consider it as a problem, but it becomes important in more complex domains, such as ecological modelling. In this domain, aggregation of processes working at different time granularities is very difficult to do reliably. We have proposed a new time granularity theory based on modular temporal classes, and have developed a temporal reasoning system to reason about seasonal cycles. This time theory may be a suitable framework for an executable temporal logic for the specification of ecological models, where each ecological entity is an active agent." | |
650 | 7 | |a Applied statistics, operational research |2 sigle | |
650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
650 | 4 | |a Mathematisches Modell | |
650 | 4 | |a Biotic communities |x Mathematical models | |
650 | 4 | |a Biotic communities |x Simulation methods | |
650 | 4 | |a Logic, Symbolic and mathematical | |
650 | 4 | |a Time | |
700 | 1 | |a Mota, Edjard |e Sonstige |4 oth | |
810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 740 |w (DE-604)BV010450646 |9 740 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-007395004 |
Datensatz im Suchindex
_version_ | 1804125533040017408 |
---|---|
any_adam_object | |
building | Verbundindex |
bvnumber | BV011043719 |
ctrlnum | (OCoLC)34820520 (DE-599)BVBBV011043719 |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02157nam a2200361 cb4500</leader><controlfield tag="001">BV011043719</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">961107s1995 |||| 00||| engod</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)34820520</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV011043719</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Time granularity in simulation models of ecological systems</subfield><subfield code="c">Mota, E. ...</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Edinburgh</subfield><subfield code="c">1995</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">[18] S.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">University <Edinburgh> / Department of Artificial Intelligence: DAI research paper</subfield><subfield code="v">740</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Abstract: "Granularity of time is an important issue for the understanding of how actions performed at coarse levels of time interact with others, working at finer levels. However, it has not received much attention from most AI work on temporal logic. In traditional domains of application (e.g. databases, planning, natural language, etc.), we may not need to consider it as a problem, but it becomes important in more complex domains, such as ecological modelling. In this domain, aggregation of processes working at different time granularities is very difficult to do reliably. We have proposed a new time granularity theory based on modular temporal classes, and have developed a temporal reasoning system to reason about seasonal cycles. This time theory may be a suitable framework for an executable temporal logic for the specification of ecological models, where each ecological entity is an active agent."</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Applied statistics, operational research</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Bionics and artificial intelligence</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematisches Modell</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biotic communities</subfield><subfield code="x">Mathematical models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biotic communities</subfield><subfield code="x">Simulation methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logic, Symbolic and mathematical</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Time</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mota, Edjard</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="810" ind1="2" ind2=" "><subfield code="a">Department of Artificial Intelligence: DAI research paper</subfield><subfield code="t">University <Edinburgh></subfield><subfield code="v">740</subfield><subfield code="w">(DE-604)BV010450646</subfield><subfield code="9">740</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-007395004</subfield></datafield></record></collection> |
id | DE-604.BV011043719 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T18:03:04Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007395004 |
oclc_num | 34820520 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM |
owner_facet | DE-91G DE-BY-TUM |
physical | [18] S. |
publishDate | 1995 |
publishDateSearch | 1995 |
publishDateSort | 1995 |
record_format | marc |
series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
spelling | Time granularity in simulation models of ecological systems Mota, E. ... Edinburgh 1995 [18] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 740 Abstract: "Granularity of time is an important issue for the understanding of how actions performed at coarse levels of time interact with others, working at finer levels. However, it has not received much attention from most AI work on temporal logic. In traditional domains of application (e.g. databases, planning, natural language, etc.), we may not need to consider it as a problem, but it becomes important in more complex domains, such as ecological modelling. In this domain, aggregation of processes working at different time granularities is very difficult to do reliably. We have proposed a new time granularity theory based on modular temporal classes, and have developed a temporal reasoning system to reason about seasonal cycles. This time theory may be a suitable framework for an executable temporal logic for the specification of ecological models, where each ecological entity is an active agent." Applied statistics, operational research sigle Bionics and artificial intelligence sigle Mathematisches Modell Biotic communities Mathematical models Biotic communities Simulation methods Logic, Symbolic and mathematical Time Mota, Edjard Sonstige oth Department of Artificial Intelligence: DAI research paper University <Edinburgh> 740 (DE-604)BV010450646 740 |
spellingShingle | Time granularity in simulation models of ecological systems Applied statistics, operational research sigle Bionics and artificial intelligence sigle Mathematisches Modell Biotic communities Mathematical models Biotic communities Simulation methods Logic, Symbolic and mathematical Time |
title | Time granularity in simulation models of ecological systems |
title_auth | Time granularity in simulation models of ecological systems |
title_exact_search | Time granularity in simulation models of ecological systems |
title_full | Time granularity in simulation models of ecological systems Mota, E. ... |
title_fullStr | Time granularity in simulation models of ecological systems Mota, E. ... |
title_full_unstemmed | Time granularity in simulation models of ecological systems Mota, E. ... |
title_short | Time granularity in simulation models of ecological systems |
title_sort | time granularity in simulation models of ecological systems |
topic | Applied statistics, operational research sigle Bionics and artificial intelligence sigle Mathematisches Modell Biotic communities Mathematical models Biotic communities Simulation methods Logic, Symbolic and mathematical Time |
topic_facet | Applied statistics, operational research Bionics and artificial intelligence Mathematisches Modell Biotic communities Mathematical models Biotic communities Simulation methods Logic, Symbolic and mathematical Time |
volume_link | (DE-604)BV010450646 |
work_keys_str_mv | AT motaedjard timegranularityinsimulationmodelsofecologicalsystems |