2013 |
Maity, Suman Kalyan; Mukherjee, Animesh; Tria, Francesca; Loreto, Vittorio Emergence of fast agreement in an overhearing population: The case of the naming game Journal Article EUROPHYSICS LETTERS, 101 , 2013. Abstract | BibTeX | Tag: language_dynamics, loreto, mukherjee, tria @article{b, title = {Emergence of fast agreement in an overhearing population: The case of the naming game}, author = {Suman Kalyan Maity and Animesh Mukherjee and Francesca Tria and Vittorio Loreto}, year = {2013}, date = {2013-01-01}, journal = {EUROPHYSICS LETTERS}, volume = {101}, abstract = {The naming game (NG) describes the agreement dynamics of a population of N agents interacting locally in pairs leading to the emergence of a shared vocabulary. This model has its relevance in the novel fields of semiotic dynamics and specifically to opinion formation and language evolution. The application of this model ranges from wireless sensor networks as spreading algorithms, leader election algorithms to user-based social tagging systems. In this paper, we introduce the concept of overhearing (i.e., at every time step of the game, a random set of N-delta individuals are chosen from the population who overhear the transmitted word from the speaker and accordingly reshape their inventories). When delta = 0 one recovers the behavior of the original NG. As one increases delta, the population of agents reaches a faster agreement with a significantly low-memory requirement. The convergence time to reach global consensus scales as log N as delta approaches 1. Copyright (C) EPLA, 2013}, keywords = {language_dynamics, loreto, mukherjee, tria}, pubstate = {published}, tppubtype = {article} } The naming game (NG) describes the agreement dynamics of a population of N agents interacting locally in pairs leading to the emergence of a shared vocabulary. This model has its relevance in the novel fields of semiotic dynamics and specifically to opinion formation and language evolution. The application of this model ranges from wireless sensor networks as spreading algorithms, leader election algorithms to user-based social tagging systems. In this paper, we introduce the concept of overhearing (i.e., at every time step of the game, a random set of N-delta individuals are chosen from the population who overhear the transmitted word from the speaker and accordingly reshape their inventories). When delta = 0 one recovers the behavior of the original NG. As one increases delta, the population of agents reaches a faster agreement with a significantly low-memory requirement. The convergence time to reach global consensus scales as log N as delta approaches 1. Copyright (C) EPLA, 2013 |
2012 |
Loreto, Vittorio; Mukherjee, Animesh; Tria, Francesca On the origin of the hierarchy of color names Journal Article PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (PNAS), 2012. Abstract | Links | BibTeX | Tag: language_dynamics, loreto, mukherjee, tria @article{b, title = {On the origin of the hierarchy of color names}, author = {Vittorio Loreto and Animesh Mukherjee and Francesca Tria}, url = {http://www.pnas.org/content/early/2012/04/09/1113347109.abstract http://www.scopus.com/inward/record.url?eid=2-s2.0-84860819374&partnerID=65&md5=d7b06adcaee23e02cd4e3f3eeb6be15c http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000303602100019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://socialdynamics.it/vittorioloreto/PAPERS/2012/PNAS-2012-Loreto-1113347109.pdf}, year = {2012}, date = {2012-01-01}, journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (PNAS)}, abstract = {One of the fundamental problems in cognitive science is how humans categorize the visible color spectrum. The empirical evidence of the existence of universal or recurrent patterns in color naming across cultures is paralleled by the observation that color names begin to be used by individual cultures in a relatively fixed order. The origin of this hierarchy is largely unexplained. Here we resort to multiagent simulations, where a population of individuals, subject to a simple perceptual constraint shared by all humans, namely the human Just Noticeable Difference, categorizes and names colors through a purely cultural negotiation in the form of language games. We found that the time needed for a population to reach consensus on a color name depends on the region of the visible color spectrum. If color spectrum regions are ranked according to this criterion, a hierarchy with [red, (magenta)-red], [violet], [green/yellow], [blue], [orange], and [cyan], appearing in this order, is recovered, featuring an excellent quantitative agreement with the empirical observations of the WCS. Our results demonstrate a clear possible route to the emergence of hierarchical color categories, confirming that the theoretical modeling in this area has now attained the required maturity to make significant contributions to the ongoing debates concerning language universals.}, keywords = {language_dynamics, loreto, mukherjee, tria}, pubstate = {published}, tppubtype = {article} } One of the fundamental problems in cognitive science is how humans categorize the visible color spectrum. The empirical evidence of the existence of universal or recurrent patterns in color naming across cultures is paralleled by the observation that color names begin to be used by individual cultures in a relatively fixed order. The origin of this hierarchy is largely unexplained. Here we resort to multiagent simulations, where a population of individuals, subject to a simple perceptual constraint shared by all humans, namely the human Just Noticeable Difference, categorizes and names colors through a purely cultural negotiation in the form of language games. We found that the time needed for a population to reach consensus on a color name depends on the region of the visible color spectrum. If color spectrum regions are ranked according to this criterion, a hierarchy with [red, (magenta)-red], [violet], [green/yellow], [blue], [orange], and [cyan], appearing in this order, is recovered, featuring an excellent quantitative agreement with the empirical observations of the WCS. Our results demonstrate a clear possible route to the emergence of hierarchical color categories, confirming that the theoretical modeling in this area has now attained the required maturity to make significant contributions to the ongoing debates concerning language universals.
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Mukherjee, Animesh; Loreto, Vittorio; Tria, Francesca Why are basic color names Journal Article ADVANCES IN COMPLEX SYSTEM, 15 , pp. 1150016–1150028, 2012. Abstract | Links | BibTeX | Tag: language_dynamics, loreto, mukherjee, tria @article{b, title = {Why are basic color names }, author = {Animesh Mukherjee and Vittorio Loreto and Francesca Tria}, url = {http://www.worldscinet.com/acs/15/1503n04/S0219525911003426.html http://www.scopus.com/inward/record.url?eid=2-s2.0-84861852212&partnerID=65&md5=5dc58383af9b9dc951b3821f9790de68 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000304607400003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://socialdynamics.it/vittorioloreto/PAPERS/2012/S0219525911003426.pdf}, year = {2012}, date = {2012-01-01}, journal = {ADVANCES IN COMPLEX SYSTEM}, volume = {15}, pages = {1150016--1150028}, publisher = {WORLD SCIENTIFIC PUBL CO PTE LTD}, abstract = {It is widely known that color names across the world\'s languages tend to be organized into a neat hierarchy with a small set of \"basic names\" featuring in a comparatively fixed order across linguistic societies. However, to date, the basic names have only been defined through a set of linguistic principles. There is no statistical definition that quantitatively separates the basic names from the rest of the color words across languages. Here we present a rigorous statistical analysis of the World Color Survey database hosting color word information from 110 non-industrialized languages. The central result is that those names for which a population of individuals show a larger overall agreement across languages turn out to be the basic ones exactly reproducing the color name hierarchy and, thereby, providing, for the first time, an empirical definition of the basic color names.}, keywords = {language_dynamics, loreto, mukherjee, tria}, pubstate = {published}, tppubtype = {article} } It is widely known that color names across the world's languages tend to be organized into a neat hierarchy with a small set of "basic names" featuring in a comparatively fixed order across linguistic societies. However, to date, the basic names have only been defined through a set of linguistic principles. There is no statistical definition that quantitatively separates the basic names from the rest of the color words across languages. Here we present a rigorous statistical analysis of the World Color Survey database hosting color word information from 110 non-industrialized languages. The central result is that those names for which a population of individuals show a larger overall agreement across languages turn out to be the basic ones exactly reproducing the color name hierarchy and, thereby, providing, for the first time, an empirical definition of the basic color names. |
2011 |
Tria, Francesca; Mukherjee, Animesh; Baronchelli, Andrea; Puglisi, Andrea; Loreto, Vittorio A fast no-rejection algorithm for the category game Journal Article JOURNAL OF COMPUTATIONAL SCIENCE, 2 , pp. 316–323, 2011. Abstract | Links | BibTeX | Tag: baronchelli, language_dynamics, loreto, mukherjee, puglisi, tria @article{b, title = {A fast no-rejection algorithm for the category game}, author = {Francesca Tria and Animesh Mukherjee and Andrea Baronchelli and Andrea Puglisi and Vittorio Loreto}, url = {http://www.sciencedirect.com/science/article/pii/S1877750311000883 http://www.scopus.com/inward/record.url?eid=2-s2.0-82455187963&partnerID=65&md5=2e81b85740b8a15a5b048389e9dbe573 http://socialdynamics.it/vittorioloreto/PAPERS/2011/JoCS_2011.pdf}, year = {2011}, date = {2011-01-01}, journal = {JOURNAL OF COMPUTATIONAL SCIENCE}, volume = {2}, pages = {316--323}, publisher = {Elsevier}, abstract = {The Category Game is a multi-agent model that accounts for the emergence of shared categorization patterns in a population of interacting individuals. In the framework of the model, linguistic categories appear as long lived consensus states that are constantly reshaped and re-negotiated by the communicating individuals. It is therefore crucial to investigate the long time behavior to gain a clear understanding of the dynamics. However, it turns out that the evolution of the emerging category system is so slow, already for small populations, that such an analysis has remained so far impossible. Here, we introduce a fast no-rejection algorithm for the Category Game that disentangles the physical simulation time from the CPU time, thus opening the way for thorough analysis of the model. We verify that the new algorithm is equivalent to the old one in terms of the emerging phenomenology and we quantify the CPU performances of the two algorithms, pointing out the neat advantages offered by the no-rejection one. This technical advance has already opened the way to new investigations of the model, thus helping to shed light on the fundamental issue of categorization.}, keywords = {baronchelli, language_dynamics, loreto, mukherjee, puglisi, tria}, pubstate = {published}, tppubtype = {article} } The Category Game is a multi-agent model that accounts for the emergence of shared categorization patterns in a population of interacting individuals. In the framework of the model, linguistic categories appear as long lived consensus states that are constantly reshaped and re-negotiated by the communicating individuals. It is therefore crucial to investigate the long time behavior to gain a clear understanding of the dynamics. However, it turns out that the evolution of the emerging category system is so slow, already for small populations, that such an analysis has remained so far impossible. Here, we introduce a fast no-rejection algorithm for the Category Game that disentangles the physical simulation time from the CPU time, thus opening the way for thorough analysis of the model. We verify that the new algorithm is equivalent to the old one in terms of the emerging phenomenology and we quantify the CPU performances of the two algorithms, pointing out the neat advantages offered by the no-rejection one. This technical advance has already opened the way to new investigations of the model, thus helping to shed light on the fundamental issue of categorization. |
Mukherjee, Animesh; Tria, Francesca; Baronchelli, Andrea; Puglisi, Andrea; Loreto, Vittorio Aging in language dynamics Journal Article PLOS ONE, 6(2) , 2011. Links | BibTeX | Tag: baronchelli, language_dynamics, loreto, mukherjee, puglisi, tria @article{b, title = {Aging in language dynamics}, author = {Animesh Mukherjee and Francesca Tria and Andrea Baronchelli and Andrea Puglisi and Vittorio Loreto}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79951878510&partnerID=65&md5=cdc7034d1003aad153923fb5adf9ca72 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000287482300019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://socialdynamics.it/vittorioloreto/PAPERS/2011/Mukherjee_PLS_ONE_2011.pdf}, year = {2011}, date = {2011-01-01}, journal = {PLOS ONE}, volume = {6(2)}, publisher = {San Francisco, CA : Public Library of Science}, keywords = {baronchelli, language_dynamics, loreto, mukherjee, puglisi, tria}, pubstate = {published}, tppubtype = {article} } |
Loreto, Vittorio; Baronchelli, Andrea; Mukherjee, Animesh; Puglisi, Andrea; Tria, Francesca Statistical physics of language dynamics Journal Article JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT, P04006 , 2011. Links | BibTeX | Tag: baronchelli, language_dynamics, loreto, mukherjee, puglisi, tria @article{b, title = {Statistical physics of language dynamics}, author = {Vittorio Loreto and Andrea Baronchelli and Animesh Mukherjee and Andrea Puglisi and Francesca Tria}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79955826233&partnerID=65&md5=01b4b20367082bee503a7ba5a2718b9d http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000289995100007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a http://socialdynamics.it/vittorioloreto/PAPERS/2011/LORETO_JSTAT_2011.pdf}, year = {2011}, date = {2011-01-01}, journal = {JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT}, volume = {P04006}, publisher = {Bristol : IOP Publishing}, keywords = {baronchelli, language_dynamics, loreto, mukherjee, puglisi, tria}, pubstate = {published}, tppubtype = {article} } |
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