Jose Segovia Martin

Jose Segovia Martin
Institut des Systèmes Complexes, Paris Île-de-France | ISC-PIF · CNRS

PhD in Cognitive Science

About

20
Publications
2,105
Reads
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27
Citations
Citations since 2016
18 Research Items
27 Citations
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Introduction
PhD in Cognitive Science. CNRS postdoc researcher at Complex Systems Institute of Paris Ile-de-France (https://iscpif.fr/) Web: https://jsegoviamartin.github.io/
Additional affiliations
September 2016 - February 2017
The University of Edinburgh
Position
  • PG Student (VPG research program)
September 2016 - February 2017
The University of Edinburgh
Position
  • PG Student (VPG research program)
September 2016 - February 2017
The University of Edinburgh
Position
  • PG Student (VPG research program)

Publications

Publications (20)
Article
Full-text available
Language is one of the most complex of human traits. There are many hypotheses about how it originated, what factors shaped its diversity, and what ongoing processes drive how it changes. We present the Causal Hypotheses in Evolutionary Linguistics Database (CHIELD, https://chield.excd.org/), a tool for expressing, exploring, and evaluating hypothe...
Preprint
How does the order of individuals' interactions affect the emergence of shared conventions at the population level? The answer to this question is relevant for a number of fields, such as cultural evolution, linguistics, cognitive science or behavioral economics. In this study we investigate experimentally how two different network connectivity dyn...
Article
Full-text available
The distribution of cultural variants in a population is shaped by both neutral evolutionary dynamics and by selection pressures. The temporal dynamics of social network connectivity, that is, the order in which individuals in a population interact with each other, has been largely unexplored. In this paper, we investigate how, in a fully connected...
Article
Full-text available
Individuals increasingly participate in online platforms where they copy, share and form they opinions. Social interactions in these platforms are mediated by digital institutions, which dictate algorithms that in turn affect how users form and evolve their opinions. In this work, we examine the conditions under which convergence on shared opinions...
Article
Full-text available
Many cultural phenomena evolve through a Darwinian process whereby adaptive variants are selected and spread at the expense of competing variants. While cultural evolutionary theory emphasises the importance of social learning to this process, experimental studies indicate that people’s dominant response is to maintain their prior behaviour. In add...
Preprint
Full-text available
Individuals are increasingly exposed to news and opinion from beyond national borders in a world that is becoming more and more globalised. This news and opinion is often concentrated in clusters of ideological homophily such as political parties, factions or interest groups. But how does exposure to cross-border information affect the diffusion of...
Preprint
In the present study we develop a co-evolutionary model of cardinal preferences and institutions to explore how the dynamics of cultural diversity in populations with different levels of compliance and confirmation bias evolve. This is the first attempt to formalise these two types of bias in a single learning algorithm for agents learning in itera...
Preprint
Individuals increasingly participate in online platforms where they copy, share and form they opinions. Social interactions in these platforms are mediated by digital institutions, which dictate algorithms that in turn affect how users form and evolve their opinions. In this work, we examine the conditions under which convergence on shared opinions...
Article
Full-text available
In this paper we argue that ecological evolutionary developmental biology (eco-evo-devo) accounts of cognitive modernity are compatible with cultural evolution theories of language built upon iterated learning models. Cultural evolution models show that the emergence of near universal properties of language do not require the preexistence of strong...
Thesis
Full-text available
The emergence of shared cultural conventions in a population is shaped by the interaction between individuals’ cognition and the structure of the society. Humans, more than any other species in the animal kingdom, are able to learn and transmit vast amounts of information, through language and other cultural products. Individual cognitive constrain...
Preprint
Full-text available
The distribution of cultural variants in a population is shaped by both neutral evolutionary dynamics and by selection pressures, which include several individual cognitive biases, demographic factors and social network structures. The temporal dynamics of social network connectivity, i.e. the order in which individuals in a population interact wit...
Article
Resumen En el presente trabajo proponemos un acercamiento cuantitativo al discurso político en la red de microblogging Twitter. El objetivo principal de esta investigación consistió en determinar algunos de los factores que pueden estar influyendo en la percepción del lenguaje político en esta red. El análisis estadístico de los datos recogidos, a...
Conference Paper
Full-text available
Languages work because speakers in a community share a set of linguistic conventions. Several factors affect the spread of conventions in populations: some relate to the structure of the population (e.g. Lupyan and Dale, 2010); others, to cognitive biases that affect the individual's likelihood of adopting a given variant (content-, frequency-and m...
Research
Full-text available
Una de las principales dificultades a las que se enfrenta la geografía lingüística consiste en examinar y actualizar de manera permanente los mapas lingüísticos. Para ello, es necesaria la recopilación y tratamiento de gran cantidad de información con criterios científicos. Presentamos aquí un comentario dialectal de una entrevista realizada a una...
Poster
Full-text available
Did any political party manage to generate either greater salience or recall of their tweets during the last electoral campaigns in Spain? Which variables have statistically significant relationship with the salience of tweets? We propose a quantitative approach to the political discourse at the online social network Twitter. The main objective of...
Data
Provisional results. Variant choice 8 agents/7 generations.
Code
Prolog is a general-purpose logic programming language associated with artificial intelligence . This is a dummy code to play with very simple attributive sentences
Article
Full-text available
A lo largo de los últimos años, los estudios sobre la disponibilidad léxica han resultado muy relevantes a la hora de cuantificar y explicar la diversidad lingüística en el aprendizaje de las diferentes lenguas. El tratamiento estadístico del léxico de las comunidades de habla, localizadas, permite desarrollar herramientas precisas para el tratamie...

Network

Cited By

Projects

Projects (2)
Project
Quantitative identification of influential factors on the perceptual salience and recall (LTM) of written messages in Twitter (this project is developed at UNED)
Project
-Understand the relationship between social structures and individual cognitive biases. -Investigate how topology and connectivity affect convergence and time to consensus. -Develop agent-based models to fit experimental data.