A generalized concept-cognitive learning: A machine learning viewpoint

01/08/2018
by   Yunlong Mi, et al.
0

Concept-cognitive learning (CCL) is a hot topic in recent years, and it has attracted much attention from the communities of formal concept analysis, granular computing and cognitive computing. However, the relationship among cognitive computing (CC), conceptcognitive computing (CCC), and CCL is not clearly described. To this end, we explain the relationship of CC, CCC, and CCL. Then, we propose a generalized CCL from the point of view of machine learning. Finally, experiments on seven data sets are conducted to evaluate concept formation and concept-cognitive processes of the proposed generalized CCL.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/04/2017

The Case for Meta-Cognitive Machine Learning: On Model Entropy and Concept Formation in Deep Learning

Machine learning is usually defined in behaviourist terms, where externa...
research
07/03/2019

Cognitive Information Measurements: A New Perspective

From a traditional point of view, the value of information does not chan...
research
02/20/2022

Direct assessment of individual connotation and experience: An introduction to cognitive-affective mapping

We introduce cognitive-affective maps (CAMs) as a novel tool to assess i...
research
08/22/2018

Anytime Learning - The next Step in Organic Computing?

Anytime learning describes a relatively novel concept by which systems a...
research
06/09/2016

A Cognitive Architecture for the Implementation of Emotions in Computing Systems

In this paper we present a new neurobiologically-inspired affective cogn...
research
01/11/2021

Representativeness in Statistics, Politics, and Machine Learning

Representativeness is a foundational yet slippery concept. Though famili...
research
05/02/2018

Potentials and Limitations of Deep Neural Networks for Cognitive Robots

Although Deep Neural Networks reached remarkable performance on several ...

Please sign up or login with your details

Forgot password? Click here to reset