Fast robot learning using a biological model:
Abstract: "An autonomous mobile robot was trained to distinguish between similar stimuli in only four presentations using a biological model of learning originally devised to explain the variety of learning phenomena observed in animals. This paper briefly outlines this model and describes expe...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Edinburgh
1993
|
Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
630 |
Schlagworte: | |
Zusammenfassung: | Abstract: "An autonomous mobile robot was trained to distinguish between similar stimuli in only four presentations using a biological model of learning originally devised to explain the variety of learning phenomena observed in animals. This paper briefly outlines this model and describes experimental results obtained both from the robot and in simulation. A robot controller based on this model incorporates much designer knowledge of task, agent, and environment but allows most of this information to be adjusted as a result of the robot's experience." |
Beschreibung: | [7] S. |
Internformat
MARC
LEADER | 00000nam a2200000 cb4500 | ||
---|---|---|---|
001 | BV010463292 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 951106s1993 |||| 00||| engod | ||
035 | |a (OCoLC)31073893 | ||
035 | |a (DE-599)BVBBV010463292 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a eng | |
049 | |a DE-91G | ||
100 | 1 | |a Hallam, Bridget |e Verfasser |4 aut | |
245 | 1 | 0 | |a Fast robot learning using a biological model |c Bridget Hallam |
264 | 1 | |a Edinburgh |c 1993 | |
300 | |a [7] 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 630 | |
520 | 3 | |a Abstract: "An autonomous mobile robot was trained to distinguish between similar stimuli in only four presentations using a biological model of learning originally devised to explain the variety of learning phenomena observed in animals. This paper briefly outlines this model and describes experimental results obtained both from the robot and in simulation. A robot controller based on this model incorporates much designer knowledge of task, agent, and environment but allows most of this information to be adjusted as a result of the robot's experience." | |
650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
650 | 7 | |a Robotics and its application |2 sigle | |
650 | 4 | |a Machine learning | |
650 | 4 | |a Mobile robots | |
810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 630 |w (DE-604)BV010450646 |9 630 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-006971690 |
Datensatz im Suchindex
_version_ | 1804124895228985344 |
---|---|
any_adam_object | |
author | Hallam, Bridget |
author_facet | Hallam, Bridget |
author_role | aut |
author_sort | Hallam, Bridget |
author_variant | b h bh |
building | Verbundindex |
bvnumber | BV010463292 |
ctrlnum | (OCoLC)31073893 (DE-599)BVBBV010463292 |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01621nam a2200325 cb4500</leader><controlfield tag="001">BV010463292</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">951106s1993 |||| 00||| engod</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)31073893</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV010463292</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="100" ind1="1" ind2=" "><subfield code="a">Hallam, Bridget</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Fast robot learning using a biological model</subfield><subfield code="c">Bridget Hallam</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Edinburgh</subfield><subfield code="c">1993</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">[7] 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">630</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Abstract: "An autonomous mobile robot was trained to distinguish between similar stimuli in only four presentations using a biological model of learning originally devised to explain the variety of learning phenomena observed in animals. This paper briefly outlines this model and describes experimental results obtained both from the robot and in simulation. A robot controller based on this model incorporates much designer knowledge of task, agent, and environment but allows most of this information to be adjusted as a result of the robot's experience."</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="7"><subfield code="a">Robotics and its application</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mobile robots</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">630</subfield><subfield code="w">(DE-604)BV010450646</subfield><subfield code="9">630</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-006971690</subfield></datafield></record></collection> |
id | DE-604.BV010463292 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T17:52:56Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006971690 |
oclc_num | 31073893 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM |
owner_facet | DE-91G DE-BY-TUM |
physical | [7] S. |
publishDate | 1993 |
publishDateSearch | 1993 |
publishDateSort | 1993 |
record_format | marc |
series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
spelling | Hallam, Bridget Verfasser aut Fast robot learning using a biological model Bridget Hallam Edinburgh 1993 [7] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 630 Abstract: "An autonomous mobile robot was trained to distinguish between similar stimuli in only four presentations using a biological model of learning originally devised to explain the variety of learning phenomena observed in animals. This paper briefly outlines this model and describes experimental results obtained both from the robot and in simulation. A robot controller based on this model incorporates much designer knowledge of task, agent, and environment but allows most of this information to be adjusted as a result of the robot's experience." Bionics and artificial intelligence sigle Robotics and its application sigle Machine learning Mobile robots Department of Artificial Intelligence: DAI research paper University <Edinburgh> 630 (DE-604)BV010450646 630 |
spellingShingle | Hallam, Bridget Fast robot learning using a biological model Bionics and artificial intelligence sigle Robotics and its application sigle Machine learning Mobile robots |
title | Fast robot learning using a biological model |
title_auth | Fast robot learning using a biological model |
title_exact_search | Fast robot learning using a biological model |
title_full | Fast robot learning using a biological model Bridget Hallam |
title_fullStr | Fast robot learning using a biological model Bridget Hallam |
title_full_unstemmed | Fast robot learning using a biological model Bridget Hallam |
title_short | Fast robot learning using a biological model |
title_sort | fast robot learning using a biological model |
topic | Bionics and artificial intelligence sigle Robotics and its application sigle Machine learning Mobile robots |
topic_facet | Bionics and artificial intelligence Robotics and its application Machine learning Mobile robots |
volume_link | (DE-604)BV010450646 |
work_keys_str_mv | AT hallambridget fastrobotlearningusingabiologicalmodel |