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: A Maximum Entropy Approach to Natural Language ProcessingA Maximum Entropy Approach to Natural Language Processing
by - Association for Computational Linguistics
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently.
(10179 views)
Book cover: Natural Language Processing with PythonNatural Language Processing with Python
by - O'Reilly Media
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
(16820 views)
Book cover: Speech and Language ProcessingSpeech and Language Processing
by - Stanford University
This text takes an empirical approach to the subject, based on applying statistical and machine-learning algorithms to large corporations. The authors describe a unified vision of speech and language processing. Emphasis is on practical applications.
(7059 views)
Book cover: Prolog and Natural-Language AnalysisProlog and Natural-Language Analysis
by - Center for the Study of Language
A concise introduction to logic programming and the logic-programming language Prolog both as vehicles for understanding elementary computational linguistics and as tools for implementing the basic components of natural-language-processing systems.
(20872 views)