2017
DOI: 10.1016/j.techfore.2017.05.008
|View full text |Cite
|
Sign up to set email alerts
|

Knowledge based dynamic human population models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 14 publications
0
2
0
Order By: Relevance
“…Students who have a low attitude find it difficult to absorb the material provided by the teacher so that population knowledge is less than optimal. Population knowledge in the teaching and learning process requires interaction from teachers to students because population knowledge is part of social science lessons (Okuducu & Aral, 2017). Active interaction between teachers and students makes students explore the deepest meaning of a science needed in the understanding process.…”
Section: Discussionmentioning
confidence: 99%
“…Students who have a low attitude find it difficult to absorb the material provided by the teacher so that population knowledge is less than optimal. Population knowledge in the teaching and learning process requires interaction from teachers to students because population knowledge is part of social science lessons (Okuducu & Aral, 2017). Active interaction between teachers and students makes students explore the deepest meaning of a science needed in the understanding process.…”
Section: Discussionmentioning
confidence: 99%
“…12) billion, with extreme estimates ranging from 1 to 1000 billion. In addition to the difficulty of estimating the carrying capacity parameter, which should furthermore evolve with environmental change, some of those models, such as Dolgonosov (2016) and Okuducu and Aral (2017), introduce another endogenous variable representing the informational, or knowledge, state of humanity. The general knowledge-related measure of civilization's progress, and the additional parameters that come with its formulation, hardly find a correspondence with real world data, which may cast further doubts on the calibration and prospective results of those models.…”
Section: Carrying Capacity Modelsmentioning
confidence: 99%