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Where do successful populations originate from?
Andras, Peter; Stanton, Adam. - : Elsevier, 2021
Abstract: In order to understand the dynamics of emergence and spreading of socio-technical innovations and population moves it is important to determine the place of origin of these populations. Here we focus on the role of geographical factors, such as land fertility and mountains in the context of human population evolution and distribution dynamics. We use a constrained diffusion-based computational model, computer simulations and the analysis of geographical and land-quality data. Our analysis shows that successful human populations, i.e. those which become dominant in their socio – geographical environment, originate from lands of many valleys with relatively low land fertility, which are close to areas of high land fertility. Many of the homelands predicted by our analysis match the assumed homelands of known successful populations (e.g. Bantus, Turkic, Maya). We also predict other likely homelands as well, where further archaeological, linguistic or genetic exploration may confirm the place of origin for populations with no currently identified urheimat. Our work is significant because it advances the understanding of human population dynamics by guiding the identification of the origin locations of successful populations.
Keyword: Computational modelling; Geography of speciation; Human geography; Socio-biological simulation; Socio-technical evolution
URL: http://researchrepository.napier.ac.uk/Output/2808851
https://doi.org/10.1016/j.jtbi.2021.110734
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2
Modelowanie percepcji transformacji politycznej. Podejście systemowe ...
Kasianiuk, Krzysztof. - : figshare, 2021
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3
Modelowanie percepcji transformacji politycznej. Podejście systemowe ...
Kasianiuk, Krzysztof. - : figshare, 2021
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4
Computation of transition matrices.pptx ...
Gagniuc, Paul. - : figshare, 2021
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5
Computation of transition matrices.pptx ...
Gagniuc, Paul. - : figshare, 2021
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6
Finetuning Pretrained Transformers into Variational Autoencoders ...
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7
How the input shapes the acquisition of verb morphology: elicited production and computational modelling in two highly inflected languages ...
Engelmann, Felix. - : Open Science Framework, 2021
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8
Language policy and planning: a discussion on the complexity of language matters and the role of computational methods
In: ISSN: 2662-9283 ; SN Social Sciences, Vol. 1, No 8 (2021) (2021)
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9
Tattoos as a window onto cross-linguistic differences in scalar implicature
In: Experiments in Linguistic Meaning; Vol 1 (2021); 147-158 ; 2694-1791 (2021)
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10
Cultural evolution of scalar categorization: how cognition and communication affect the structure of categories on scalar conceptual domains ...
Carcassi, Fausto. - : The University of Edinburgh, 2020
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11
Complexity Theory: Applications to Language Policy and Planning
Civico, Marco. - : Université de Genève, 2020
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12
Combining predictive coding and neural oscillations enables online syllable recognition in natural speech
In: ISSN: 2041-1723 ; Nature Communications, Vol. 11, No 1 (2020) P. 3117 (2020)
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13
Computational modelling of an auditory lexical decision experiment using jTRACE and TISK
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14
Computational Modelling of Spoken Word Recognition in the Auditory Lexical Decision Task
Nenadić, Filip. - : University of Alberta. Department of Linguistics., 2020
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15
Cultural evolution of scalar categorization: how cognition and communication affect the structure of categories on scalar conceptual domains
Carcassi, Fausto. - : The University of Edinburgh, 2020
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16
Defining distinctiveness: A computational and experimental analysis
Spear, Jackie. - 2020
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17
Modelling the Semantic Change Dynamics using Diachronic Word Embedding
In: 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session) ; https://hal.archives-ouvertes.fr/hal-02048377 ; 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session), Feb 2019, Prague, Czech Republic (2019)
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18
Understanding Semantic Implicit Learning through distributional linguistic patterns: A computational perspective ...
Alikaniotis, Dimitrios. - : Apollo - University of Cambridge Repository, 2019
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19
Neurobiology of incremental speech comprehension
Choi, Hun Seok. - : University of Cambridge, 2019. : Psychology, 2019. : Clare, 2019
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20
Understanding Semantic Implicit Learning through distributional linguistic patterns: A computational perspective
Alikaniotis, Dimitrios. - : University of Cambridge, 2019. : Downing, 2019
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