Standard

Investigating the factors maintaining sign languages using an agent based model. / Mudd, Katie; Jadoul, Yannick; de Vos, Connie; de Boer, Bart.

2018. Poster session presented at Interdisciplinary Approaches in the Language Sciences, .

Research output: Unpublished contribution to conferencePosterResearch

Harvard

Mudd, K, Jadoul, Y, de Vos, C & de Boer, B 2018, 'Investigating the factors maintaining sign languages using an agent based model.' Interdisciplinary Approaches in the Language Sciences, 5/06/18 - 7/06/18, .

APA

Mudd, K., Jadoul, Y., de Vos, C., & de Boer, B. (2018). Investigating the factors maintaining sign languages using an agent based model.. Poster session presented at Interdisciplinary Approaches in the Language Sciences, .

Vancouver

Mudd K, Jadoul Y, de Vos C, de Boer B. Investigating the factors maintaining sign languages using an agent based model.. 2018. Poster session presented at Interdisciplinary Approaches in the Language Sciences, .

Author

Mudd, Katie ; Jadoul, Yannick ; de Vos, Connie ; de Boer, Bart. / Investigating the factors maintaining sign languages using an agent based model. Poster session presented at Interdisciplinary Approaches in the Language Sciences, .

BibTeX

@conference{c79d4bf148a746778dccf794221c60e8,
title = "Investigating the factors maintaining sign languages using an agent based model.",
abstract = "Shared sign languages typically emerge in rural settings with a high incidence of often hereditary deafness and are used by both hearing and deaf community members (de Vos & Pfau, 2015). Thus, they provide the perfect case study to see how a sign language can emerge alongside an existing spoken language (de Vos, Roberts, & Thompson, 2016), providing insights into language emergence and evolution. Though features present in the emergence of shared sign languages differ on many levels (Zeshan & de Vos, 2012), it is unclear which ones allow for language emergence. Proposed influences are a small community size, high incidence of deafness and consanguineous marital patterns. To investigate, we turn to a computational model inspired a shared sign language called Kata Kolok in Bali to understand what are the key features allowing for shared sign language emergence. The model investigates gene-culture co-evolution by studying the relationship between genetic deafness and sign language. Language is modeled by the interaction of agents in a simple communication game occuring in the manual or vocal modality. To determine if agents use sign or speech in their interaction, the prior language use of agents is taken into account, and if one of the agents interacting is deaf, the interaction occurs in the manual modality. The social structure of the society is used to determine which agents communicate, such that family members and agents in the same clan are more likely to interact. The model itself is closely tied to Kata Kolok and is based on the observations of linguists, geneticists and anthropologists (de Vos, 2012), thus having a high level of ecological validity. As the current model is closely tied to features of a real language, it provides a unique opportunity to understand the precise factors allowing for the maintenance of this sign language, hereby providing a novel tool to investigate how language unfolds.",
author = "Katie Mudd and Yannick Jadoul and {de Vos}, Connie and {de Boer}, Bart",
year = "2018",
month = "6",
day = "6",
language = "English",
note = "Interdisciplinary Approaches in the Language Sciences : International Max Planck Research School for the Language Sciences Conference 2018 ; Conference date: 05-06-2018 Through 07-06-2018",

}

RIS

TY - CONF

T1 - Investigating the factors maintaining sign languages using an agent based model.

AU - Mudd, Katie

AU - Jadoul, Yannick

AU - de Vos, Connie

AU - de Boer, Bart

PY - 2018/6/6

Y1 - 2018/6/6

N2 - Shared sign languages typically emerge in rural settings with a high incidence of often hereditary deafness and are used by both hearing and deaf community members (de Vos & Pfau, 2015). Thus, they provide the perfect case study to see how a sign language can emerge alongside an existing spoken language (de Vos, Roberts, & Thompson, 2016), providing insights into language emergence and evolution. Though features present in the emergence of shared sign languages differ on many levels (Zeshan & de Vos, 2012), it is unclear which ones allow for language emergence. Proposed influences are a small community size, high incidence of deafness and consanguineous marital patterns. To investigate, we turn to a computational model inspired a shared sign language called Kata Kolok in Bali to understand what are the key features allowing for shared sign language emergence. The model investigates gene-culture co-evolution by studying the relationship between genetic deafness and sign language. Language is modeled by the interaction of agents in a simple communication game occuring in the manual or vocal modality. To determine if agents use sign or speech in their interaction, the prior language use of agents is taken into account, and if one of the agents interacting is deaf, the interaction occurs in the manual modality. The social structure of the society is used to determine which agents communicate, such that family members and agents in the same clan are more likely to interact. The model itself is closely tied to Kata Kolok and is based on the observations of linguists, geneticists and anthropologists (de Vos, 2012), thus having a high level of ecological validity. As the current model is closely tied to features of a real language, it provides a unique opportunity to understand the precise factors allowing for the maintenance of this sign language, hereby providing a novel tool to investigate how language unfolds.

AB - Shared sign languages typically emerge in rural settings with a high incidence of often hereditary deafness and are used by both hearing and deaf community members (de Vos & Pfau, 2015). Thus, they provide the perfect case study to see how a sign language can emerge alongside an existing spoken language (de Vos, Roberts, & Thompson, 2016), providing insights into language emergence and evolution. Though features present in the emergence of shared sign languages differ on many levels (Zeshan & de Vos, 2012), it is unclear which ones allow for language emergence. Proposed influences are a small community size, high incidence of deafness and consanguineous marital patterns. To investigate, we turn to a computational model inspired a shared sign language called Kata Kolok in Bali to understand what are the key features allowing for shared sign language emergence. The model investigates gene-culture co-evolution by studying the relationship between genetic deafness and sign language. Language is modeled by the interaction of agents in a simple communication game occuring in the manual or vocal modality. To determine if agents use sign or speech in their interaction, the prior language use of agents is taken into account, and if one of the agents interacting is deaf, the interaction occurs in the manual modality. The social structure of the society is used to determine which agents communicate, such that family members and agents in the same clan are more likely to interact. The model itself is closely tied to Kata Kolok and is based on the observations of linguists, geneticists and anthropologists (de Vos, 2012), thus having a high level of ecological validity. As the current model is closely tied to features of a real language, it provides a unique opportunity to understand the precise factors allowing for the maintenance of this sign language, hereby providing a novel tool to investigate how language unfolds.

M3 - Poster

ER -

ID: 44696342