Explore
How mobile robots can self-organise a vocabulary
Paul Vogt
2015
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 264 times via unglue.it ebook links.
- 123 - pdf (CC BY) at OAPEN Library.
Keywords
- artificial intelligence
- Computing & information technology
- feature extraction
- Feature vector
- Joint attention
- Language
- Language in Robots
- lexicon
- Linguistics
- Reference
- Symbol grounding problem
- Talking Heads
- thema EDItEUR::C Language and Linguistics::CF Linguistics
- thema EDItEUR::U Computing and Information Technology
Links
DOI: 10.26530/OAPEN_603358Editions