On Understanding and Machine Understanding

03/24/2011
by   Tong Chern, et al.
0

In the present paper, we try to propose a self-similar network theory for the basic understanding. By extending the natural languages to a kind of so called idealy sufficient language, we can proceed a few steps to the investigation of the language searching and the language understanding of AI. Image understanding, and the familiarity of the brain to the surrounding environment are also discussed. Group effects are discussed by addressing the essense of the power of influences, and constructing the influence network of a society. We also give a discussion of inspirations.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/24/2015

Natural Language Understanding with Distributed Representation

This is a lecture note for the course DS-GA 3001 <Natural Language Under...
research
05/01/2020

Language (Re)modelling: Towards Embodied Language Understanding

While natural language understanding (NLU) is advancing rapidly, today's...
research
03/21/2017

Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems

Language understanding is a key component in a spoken dialogue system. I...
research
03/16/2022

An Analysis of Negation in Natural Language Understanding Corpora

This paper analyzes negation in eight popular corpora spanning six natur...
research
05/04/2023

Beneficence Signaling in AI Development Dynamics

This paper motivates and develops a framework for understanding how the ...
research
10/31/2017

Whodunnit? Crime Drama as a Case for Natural Language Understanding

In this paper we argue that crime drama exemplified in television progra...
research
09/14/2022

The Impact of Model Transformation Language Features on Quality Properties of MTLs: A Study Protocol

Background: Dedicated model transformation languages are claimed to prov...

Please sign up or login with your details

Forgot password? Click here to reset