TY  - GEN
AU  - Vogt,Paul
TI  - How mobile robots can self-organise a vocabulary
SN  - OAPEN_603358
PY  - 2015///
PB  - Language Science Press
KW  - linguistics
KW  - bicssc
KW  - Computing & information technology
KW  - language in robots
KW  - artificial intelligence
KW  - Feature extraction
KW  - Feature vector
KW  - Joint attention
KW  - Lexicon
KW  - Reference
KW  - Symbol grounding problem
KW  - Talking Heads
N1  - Open Access
N2  - 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
UR  - https://library.oapen.org/bitstream/20.500.12657/32838/1/603358.pdf
UR  - https://library.oapen.org/bitstream/20.500.12657/32838/1/603358.pdf
UR  - https://library.oapen.org/bitstream/20.500.12657/32838/1/603358.pdf
UR  - https://directory.doabooks.org/handle/20.500.12854/39332
ER  -