scholarly journals Momentum in Language Change

2016 ◽  
Vol 6 (2) ◽  
pp. 171-198 ◽  
Author(s):  
Kevin Stadler ◽  
Richard A. Blythe ◽  
Kenny Smith ◽  
Simon Kirby
Keyword(s):  
Cultural Evolution ◽  
Language Change ◽  
Neutral Model ◽  
Recent Past ◽  
Agent Model ◽  
Frequency Of Use ◽  
Linguistic Conventions ◽  
Multi Agent ◽  
High Degree

Like other socially transmitted traits, human languages undergo cultural evolution. While humans can replicate linguistic conventions to a high degree of fidelity, sometimes established conventions get replaced by new variants, with the gradual replacement following the trajectory of an s-shaped curve. Although previous modelling work suggests that only a bias favoring the replication of new linguistic variants can reliably reproduce the dynamics observed in language change, the source of this bias is still debated. In this paper we compare previous accounts with a momentum-based selection account of language change, a replicator-neutral model where the popularity of a variant is modulated by its momentum, i.e. its change in frequency of use in the recent past. We present results from a multi-agent model that are characteristic of language change, in particular by exhibiting spontaneously generated s-shaped transitions that do not require externally triggered actuation. We discuss several empirical questions raised by our model, pertaining to both momentum-based selection as well as other biases and pressures which have been suggested to influence language change.

scholarly journals Dynamic preferences and self-actuation of changes in language dynamics

2019 ◽  
Vol 9 (1) ◽  
pp. 61-103 ◽  
Author(s):  
Jérôme Michaud
Keyword(s):  
Social Interactions ◽  
Language Change ◽  
Selection Mechanism ◽  
Agent Model ◽  
Multi Agent ◽  
Dynamic Preferences

Abstract A puzzling fact about linguistic norms is that they are mainly stable, but the conventional variant sometimes changes. These transitions seem to be mostly S-shaped and, therefore, directed. Previous models have suggested possible mechanisms to explain these directed changes, mainly based on a bias favoring the innovative variant. What is still debated is the origin of such a bias. In this paper, we propose a refined taxonomy of mechanisms of language change and identify a family of mechanisms explaining self-actuated language changes. We exemplify this type of mechanism with the preference-based selection mechanism that relies on agents having dynamic preferences for different variants of the linguistic norm. The key point is that if these preferences align through social interactions, then new changes can be actuated even in the absence of external triggers. We present results of a multi-agent model and demonstrate that the model produces trajectories that are typical of language change.

Research on multi-agent model based on track methodology of ontology building

2009 ◽  
Vol 29 (2) ◽  
pp. 412-415
Author(s):  
Qiang LU ◽  
Ming CHEN ◽  
Zhi-guang WANG
Keyword(s):  
Agent Model ◽  
Model Based ◽  
Multi Agent ◽  
Ontology Building

scholarly journals A Novel Multi-Agent Model for Robustness with Component Failure and Malware Propagation in Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan
Keyword(s):  
Wireless Sensor ◽  
Component Reliability ◽  
Agent Based ◽  
Agent Model ◽  
Cross Domain ◽  
Malware Propagation ◽  
Network Topologies ◽  
Multi Agent ◽  
Agent Characteristics ◽  
Information Domain

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.

A Simulation Approach for Analyzing MAS Model of SIS

2012 ◽  
Vol 468-471 ◽  
pp. 173-180
Author(s):  
Yi Ning Song ◽  
Zhi Li
Keyword(s):  
Information System ◽  
Modeling And Simulation ◽  
Longitudinal Analysis ◽  
Satellite System ◽  
Model Structure ◽  
Multi Agent System ◽  
Simulation Approach ◽  
Agent System ◽  
Agent Model ◽  
Multi Agent

The purpose of this paper is to explore the effective approach of Multi-Agent system(MAS) modeling and simulation. A detailed study of modeling and simulation of Space Information System has been carried out by combining controlled and intelligent requirements. To begin with we will provide a brief background on the Multi-Agent System concept and structure. Furthermore, grasp the model structure through vertical and longitudinal analysis with the consideration of emergence and collaboration. In addition, we described the Multi-agent model for Space Information System(SIS). Finally, algorithms of realizing the collaboration structures of the communication satellite system that presented in this paper were described.

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