Agent-based Model of Celtic Population Growth: NetLogo and Python
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F13%3A50000500" target="_blank" >RIV/62690094:18450/13:50000500 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-34300-1_13" target="_blank" >http://dx.doi.org/10.1007/978-3-642-34300-1_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-34300-1_13" target="_blank" >10.1007/978-3-642-34300-1_13</a>
Alternative languages
Result language
angličtina
Original language name
Agent-based Model of Celtic Population Growth: NetLogo and Python
Original language description
The agent-based model of Celtic population growth was developed using specific domain knowledge and general demographic assumptions about birth-rates and mortality. The model allows archaeologists to simulate the time series of available workforce and actual consumption of the population living in the given settlement agglomeration. Parameters of the NetLogo model were refined experimentally. The implementation in Python was created for validation and reporting. The simulated population is stable, withappropriate age distribution and growth rate. The model is used for further simulations of the settlement population dynamics and for testing hypotheses about the agricultural practices, trade and exchange etc. The final objective of our research projectis to better understand the collapse of the Celtic society in Europe in the Late Iron Age.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GAP405%2F12%2F0926" target="_blank" >GAP405/12/0926: Social modelling as a tool for understanding Celtic society and cultural changes at the end of the Iron Age</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advanced methods for computational collective Intelligence
ISBN
978-3-642-34299-8
ISSN
1860-949X
e-ISSN
—
Number of pages
9
Pages from-to
135-143
Publisher name
Springer
Place of publication
Berlin
Event location
Ho Chi Minh city, Vietnam
Event date
Nov 28, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312877500013