How mobile robots can self-organise a vocabulary
One of the hardest problems in science is the symbol grounding problem, a question that has intrigued philosophers and linguists for more than a century. With the rise of artificial intelligence, the question has become very actual, especially within the field of robotics. The problem is that an age...
Պահպանված է:
| Հիմնական հեղինակ: | |
|---|---|
| Ձևաչափ: | Online |
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
Language Science Press
2021
|
| Խորագրեր: | |
| Առցանց հասանելիություն: | 603358 |
| Ցուցիչներ: |
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
|
| _version_ | 1869515537066754048 |
|---|---|
| author | Vogt, Paul |
| author_browse | Vogt, Paul |
| author_facet | Vogt, Paul |
| author_sort | Vogt, Paul |
| collection | Directory of Open Access Books |
| description | One of the hardest problems in science is the symbol grounding problem, a question that has intrigued philosophers and linguists for more than a century. With the rise of artificial intelligence, the question has become very actual, especially within the field of robotics. The problem is that an agent, be it a robot or a human, perceives the world in analogue signals. Yet humans have the ability to categorise the world in symbols that they, for instance, may use for language. This book presents a series of experiments in which two robots try to solve the symbol grounding problem. The experiments are based on the language game paradigm, and involve real mobile robots that are able to develop a grounded lexicon about the objects that they can detect in their world. Crucially, neither the lexicon nor the ontology of the robots has been preprogrammed, so the experiments demonstrate how a population of embodied language users can develop their own vocabularies from scratch. |
| format | Online |
| id | doab-20.500.12854ir-39332 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Language Science Press |
| publisherStr | Language Science Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-393322024-11-16T05:40:44Z How mobile robots can self-organise a vocabulary Vogt, Paul language in robots artificial intelligence Feature extraction Feature vector Joint attention Lexicon Reference Symbol grounding problem Talking Heads thema EDItEUR::C Language and Linguistics::CF Linguistics thema EDItEUR::U Computing and Information Technology One of the hardest problems in science is the symbol grounding problem, a question that has intrigued philosophers and linguists for more than a century. With the rise of artificial intelligence, the question has become very actual, especially within the field of robotics. The problem is that an agent, be it a robot or a human, perceives the world in analogue signals. Yet humans have the ability to categorise the world in symbols that they, for instance, may use for language. This book presents a series of experiments in which two robots try to solve the symbol grounding problem. The experiments are based on the language game paradigm, and involve real mobile robots that are able to develop a grounded lexicon about the objects that they can detect in their world. Crucially, neither the lexicon nor the ontology of the robots has been preprogrammed, so the experiments demonstrate how a population of embodied language users can develop their own vocabularies from scratch. 2021-02-10T12:58:18Z 2016-12-31 23:55:55 2018-12-12 10:19:03 2020-04-01T14:20:21Z 2015 book 603358 OCN: 945783174 http://library.oapen.org/handle/20.500.12657/32838 9783946234012 https://directory.doabooks.org/handle/20.500.12854/39332 eng Computational Models of Language Evolution open access image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/32838/1/603358.pdf https://library.oapen.org/bitstream/20.500.12657/32838/1/603358.pdf Language Science Press 10.26530/OAPEN_603358 10.26530/OAPEN_603358 ed03121b-b998-4b50-8d58-1d0745565558 Knowledge Unlatched 9783946234012 Knowledge Unlatched (KU) 270 open access |
| spellingShingle | language in robots artificial intelligence Feature extraction Feature vector Joint attention Lexicon Reference Symbol grounding problem Talking Heads thema EDItEUR::C Language and Linguistics::CF Linguistics thema EDItEUR::U Computing and Information Technology Vogt, Paul How mobile robots can self-organise a vocabulary |
| title | How mobile robots can self-organise a vocabulary |
| title_full | How mobile robots can self-organise a vocabulary |
| title_fullStr | How mobile robots can self-organise a vocabulary |
| title_full_unstemmed | How mobile robots can self-organise a vocabulary |
| title_short | How mobile robots can self-organise a vocabulary |
| title_sort | how mobile robots can self organise a vocabulary |
| topic | language in robots artificial intelligence Feature extraction Feature vector Joint attention Lexicon Reference Symbol grounding problem Talking Heads thema EDItEUR::C Language and Linguistics::CF Linguistics thema EDItEUR::U Computing and Information Technology |
| topic_facet | language in robots artificial intelligence Feature extraction Feature vector Joint attention Lexicon Reference Symbol grounding problem Talking Heads thema EDItEUR::C Language and Linguistics::CF Linguistics thema EDItEUR::U Computing and Information Technology |
| url | 603358 |
| work_keys_str_mv | AT vogtpaul howmobilerobotscanselforganiseavocabulary |