Logo

How Mobile Robots Can Self-organise a Vocabulary

Large book cover: How Mobile Robots Can Self-organise a Vocabulary

How Mobile Robots Can Self-organise a Vocabulary
by

Publisher: Language Science Press
ISBN/ASIN: 3946234011
ISBN-13: 9783946234012
Number of pages: 286

Description:
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.

Home page url

Download or read it online for free here:
Download link
(2.6MB, PDF)

Similar books

Book cover: Notes on Computational LinguisticsNotes on Computational Linguistics
by - UCLA
What kind of computational device could use a system like a human language? This text explores the computational properties of devices that could compute morphological and syntactic analyses, and recognize semantic relations among sentences.
(13557 views)
Book cover: Natural Language Processing for Prolog ProgrammersNatural Language Processing for Prolog Programmers
by - Prentice-Hall
Designed to bridge the gap for those who know Prolog but have no background in linguistics, this book concentrates on turning theories into practical techniques. Coverage includes template and keyword systems, definite clause grammars, and more.
(8400 views)
Book cover: Formal Language Theory for Natural Language ProcessingFormal Language Theory for Natural Language Processing
by - ESSLLI
This text is a mild introduction to Formal Language Theory for students with little or no background in formal systems. The motivation is Natural Language Processing, and the presentation is geared towards NLP applications, with extensive examples.
(8690 views)
Book cover: Computational LinguisticsComputational Linguistics
by
The book focuses on the basic set of ideas and facts from the fundamental science necessary for the creation of intelligent language processing tools, without going deeply into the details of specific algorithms or toy systems.
(19611 views)