Communicating with sentences: A multi-word naming game model

12/28/2015
by   Yang Lou, et al.
0

Naming game simulates the process of naming an object by a single word, in which a population of communicating agents can reach global consensus asymptotically through iteratively pair-wise conversations. We propose an extension of the single-word model to a multi-word naming game (MWNG), simulating the case of describing a complex object by a sentence (multiple words). Words are defined in categories, and then organized as sentences by combining them from different categories. We refer to a formatted combination of several words as a pattern. In such an MWNG, through a pair-wise conversation, it requires the hearer to achieve consensus with the speaker with respect to both every single word in the sentence as well as the sentence pattern, so as to guarantee the correct meaning of the saying, otherwise, they fail reaching consensus in the interaction. We validate the model in three typical topologies as the underlying communication network, and employ both conventional and man-designed patterns in performing the MWNG.

READ FULL TEXT

page 10

page 11

research
05/20/2016

Local communities obstruct global consensus: Naming game on multi-local-world networks

Community structure is essential for social communications, where indivi...
research
04/13/2022

HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection

The same multi-word expressions may have different meanings in different...
research
04/07/2017

A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification

Sentence simplification reduces semantic complexity to benefit people wi...
research
04/11/2018

Decoupled Novel Object Captioner

Image captioning is a challenging task where the machine automatically d...
research
06/06/2019

From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences

Knowing how to use words appropriately has been a key to improving langu...
research
07/27/2020

Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior

Semantic feature models have become a popular tool for prediction and in...
research
05/29/2020

SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences

Distributed representation of words has improved the performance for man...

Please sign up or login with your details

Forgot password? Click here to reset