How mobile robots can self-organise a vocabulary / / Paul Vogt.
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...
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Superior document: | Computational models of language evolution ; 2 |
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Place / Publishing House: | Berlin, Germany : : Language Science Press,, [2015] ©2015 |
Year of Publication: | 2015 |
Language: | English |
Series: | Computational models of language evolution ;
2. |
Physical Description: | 1 online resource (xii, 270 pages) :; illustrations. |
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Vogt, Paul, 1967- author. How mobile robots can self-organise a vocabulary / Paul Vogt. Berlin, Germany : Language Science Press, [2015] ©2015 1 online resource (xii, 270 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Computational models of language evolution ; 2 Description based on: online resource; title from PDF information screen (Language Science Press, viewed March 28, 2023). 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. Includes bibliographical references and indexes. Preface -- Acknowledgements -- 1. Introduction -- 2. The sensorimotor component -- 3. Language games -- 4. Experimental results -- 5. Varying methods and parameters -- 6. The optimal games -- 7. Discussion -- Appendix A: Glossary -- Appendix B: PDL code -- Appendix C: Sensory data distribution -- Appendix D: Lexicon and ontology -- References -- Indexes. Artificial intelligence. Language acquisition Data processing. Computational models of language evolution ; 2. |
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English |
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eBook |
author |
Vogt, Paul, 1967- |
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Vogt, Paul, 1967- How mobile robots can self-organise a vocabulary / Computational models of language evolution ; Preface -- Acknowledgements -- 1. Introduction -- 2. The sensorimotor component -- 3. Language games -- 4. Experimental results -- 5. Varying methods and parameters -- 6. The optimal games -- 7. Discussion -- Appendix A: Glossary -- Appendix B: PDL code -- Appendix C: Sensory data distribution -- Appendix D: Lexicon and ontology -- References -- Indexes. |
author_facet |
Vogt, Paul, 1967- |
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VerfasserIn |
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Vogt, Paul, 1967- |
title |
How mobile robots can self-organise a vocabulary / |
title_full |
How mobile robots can self-organise a vocabulary / Paul Vogt. |
title_fullStr |
How mobile robots can self-organise a vocabulary / Paul Vogt. |
title_full_unstemmed |
How mobile robots can self-organise a vocabulary / Paul Vogt. |
title_auth |
How mobile robots can self-organise a vocabulary / |
title_new |
How mobile robots can self-organise a vocabulary / |
title_sort |
how mobile robots can self-organise a vocabulary / |
series |
Computational models of language evolution ; |
series2 |
Computational models of language evolution ; |
publisher |
Language Science Press, |
publishDate |
2015 |
physical |
1 online resource (xii, 270 pages) : illustrations. |
contents |
Preface -- Acknowledgements -- 1. Introduction -- 2. The sensorimotor component -- 3. Language games -- 4. Experimental results -- 5. Varying methods and parameters -- 6. The optimal games -- 7. Discussion -- Appendix A: Glossary -- Appendix B: PDL code -- Appendix C: Sensory data distribution -- Appendix D: Lexicon and ontology -- References -- Indexes. |
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Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q335 |
callnumber-sort |
Q 3335 V648 42015 |
illustrated |
Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.3 |
dewey-sort |
16.3 |
dewey-raw |
006.3 |
dewey-search |
006.3 |
work_keys_str_mv |
AT vogtpaul howmobilerobotscanselforganiseavocabulary |
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(CKB)3710000000590861 (PPN)199152748 (NjHacI)993710000000590861 (EXLCZ)993710000000590861 |
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hierarchy_parent_title |
Computational models of language evolution ; 2 |
hierarchy_sequence |
2. |
is_hierarchy_title |
How mobile robots can self-organise a vocabulary / |
container_title |
Computational models of language evolution ; 2 |
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