scholarly journals IN-DEPTH ANALYSIS OF THE NAMING GAME DYNAMICS: THE HOMOGENEOUS MIXING CASE

2008 ◽  
Vol 19 (05) ◽  
pp. 785-812 ◽  
Author(s):  
ANDREA BARONCHELLI ◽  
VITTORIO LORETO ◽  
LUC STEELS
Keyword(s):  
Numerical Simulations ◽  
Cultural Learning ◽  
Game Dynamics ◽  
Naming Game ◽  
Depth Analysis ◽  
Multi Agent ◽  
Language Emergence

Language emergence and evolution have recently gained growing attention through multi-agent models and mathematical frameworks to study their behavior. Here we investigate further the Naming Game, a model able to account for the emergence of a shared vocabulary of form-meaning associations through social/cultural learning. Due to the simplicity of both the structure of the agents and their interaction rules, the dynamics of this model can be analyzed in great detail using numerical simulations and analytical arguments. This paper first reviews some existing results and then presents a new overall understanding.

scholarly journals Multi-participant Interaction in Multi-agent Naming Game

2014 ◽  
Vol 20 (2) ◽  
pp. 59-60 ◽  
Author(s):  
Wojciech Lorkiewicz, ◽  
Radosław Katarzyniak
Keyword(s):  
Naming Game ◽  
Multi Agent

scholarly journals The influence of heterogeneous learning ability on the evolution of cooperation

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Xiaogang Li ◽  
Yini Geng ◽  
Chen Shen ◽  
Lei Shi
Keyword(s):  
Game Theory ◽  
Numerical Simulations ◽  
Prisoner’S Dilemma ◽  
Learning Ability ◽  
Evolution Of Cooperation ◽  
Game Dynamics ◽  
Potential Reason ◽  
Heterogeneous Learning ◽  
Spatial Prisoner’S Dilemma

Abstract In this paper, we design a simple coevolution model to investigate the role of heterogeneous learning ability on the evolution of cooperation. The model weakens the winner’s learning ability in order to keep its current advantage. Conversely, it strengthens the loser’s learning ability for increasing the chance to update its strategy. In particular, we consider this coevolutionary model separately applying to both cooperators and defectors (rule I), only cooperators (rule II), as well as only defectors (rule III) in spatial prisoner’s dilemma game. Through numerical simulations, we find that cooperation can be promoted in rule II, whereas, cooperation is hampered in rule I and rule III. We reveal its potential reason from the viewpoint of enduring and expanding periods in game dynamics. Our results thus provide a deeper understanding regarding the heterogeneous learning ability on game theory.

Formation Maneuvering Control of Nonholonomic Multi-Agent Systems

2016 ◽  
Author(s):  
M. Khaledyan ◽  
M. de Queiroz
Keyword(s):  
Mobile Robots ◽  
Numerical Simulations ◽  
Spanning Tree ◽  
Control Law ◽  
Multi Agent Systems ◽  
Type Solution ◽  
Wheeled Mobile Robots ◽  
Kinematic Control ◽  
Agent Systems ◽  
Multi Agent

In this paper, we present a leader-follower type solution to the formation maneuvering problem for multiple, nonholonomic wheeled mobile robots. Our solution is based on the graph that models the coordination among the robots being a spanning tree. Our kinematic control law ensures, in the least squares sense, that the robots globally exponentially acquire a given planar formation while the formation globally exponentially tracks a desired trajectory. The proposed control is demonstrated by numerical simulations of five unicycle vehicles.

scholarly journals Agent-based modelling using naming game for language evolution studies

2021 ◽  
Vol 127 ◽  
pp. 01014
Author(s):  
Alexander Ioilyevich Ilyinsky ◽  
Galina Vladimirovna Klimova ◽  
Evgeniy Sergeevich Smakhtin ◽  
Marina Aleksandrovna Amurskaya ◽  
Ekaterina Yurievna Rozhina
Keyword(s):  
Language Evolution ◽  
Computational Modelling ◽  
Foreign Languages ◽  
Contemporary Society ◽  
Research Papers ◽  
Naming Game ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Vast Literature ◽  
Language Emergence

The article describes approaches to applying agent-based modelling and, particularly, the case of Naming Game, in linguistic studies and within teaching foreign languages. Computational modelling implementation has become a comprehensive and ambitious field of research, as its methods are applicable to solving tasks set within various aspects of contemporary society and science. The main purpose of this paper is to perform an analysis of Naming Game implementation in language emergence and evolution studies. To achieve this purpose we set several tasks: to present a vast literature review on agent-based modelling in linguistics and other adjacent sciences; to give an overview and description of the Naming Game; to perform simulations within the Naming Game and present their outcomes. As the main methodology the article uses simulations. The paper concludes that a clear hysteresis effect is present in the dependence of the size of the population vocabulary from the size of vocabulary of its average agent. At the point where the population vocabulary transitions into the uniform distribution the average agent’s vocabulary reaches saturation and plateaus. Those dynamics also change as the population vocabulary grows and declines. Agent-based modelling is a relatively novel direction for linguistics with a modest number of research papers. Results, presented in the paper, give a fresh angle on the issues of language emergence and evolution.

scholarly journals Rotor-Stator Interaction Scenarios for the Centrifugal Compressor of a Helicopter Engine

2013 ◽  
Author(s):  
Alain Batailly ◽  
Markus B. Meingast ◽  
Mathias Legrand ◽  
Jean-Philippe Ousty
Keyword(s):  
Numerical Simulations ◽  
Centrifugal Compressor ◽  
Fourier Transforms ◽  
Aircraft Engines ◽  
Axial Compressors ◽  
Geometrical Complexity ◽  
Depth Analysis ◽  
Rotor Stator Interaction ◽  
Blade Tip ◽  
Interaction Phenomena

The present paper deals with interaction phenomena that may arise in the centrifugal compressor of helicopter engines when structural contacts occur between the blade-tips and the surrounding casing. Those phenomena may lead to increased levels of vibration and are currently under investigation for axial compressors of aircraft engines for which blade failures were observed. The growing understanding of these phenomena allows for more challenging numerical simulations with increased geometrical complexity such as centrifugal compressors. The simulation of blade-tip/casing contacts is carried out based on an existing strategy previously introduced by the authors. An ovalized casing is considered and two contact configurations are investigated: (1) a single blade impacts the casing and (2) contact may occur on any blade of the cyclic assembly. Based on these two contact scenarios, an in-depth analysis is performed through both time and space Fourier transforms. Results highlight the plausibility of blade/casing interaction phenomena similar to those observed in axial compressors since interactions are detected with localized vibration levels on a single impacting blade. When contact is treated on all the blades of the centrifugal compressor, the witnessed interactions feature a higher degree of complexity and usual criteria become insufficient to predict interaction speeds as well as the location of significant peaks of vibration in the frequency domain.

Unique Applications of Multi-Agent Models in Uncovering Language Learning Processes

2008 ◽  
pp. 142-173
Author(s):  
Teresa Satterfield
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Acquisition ◽  
Language Learning ◽  
Language Change ◽  
Learning Processes ◽  
Multi Scale ◽  
Artificial Societies ◽  
Multi Agent ◽  
Language Emergence

Multi-scale “artificial societies” are constructed to examine competing first- and second-language acquisition-based theories of creole language emergence. Sociohistorical conditions and psycholinguistic capacities are integrated into the model as agents (slaves and slave-owners) interact. Linguistic transmissions are tracked, and grammar constructions are charted. The study demonstrates how a CAS approach offers clear indications for computational solutions to questions of language change and formation.

A strategy for wear analysis using numerical and experimental tools, applied to orbital type hydraulic motors

2015 ◽  
Vol 230 (12) ◽  
pp. 2086-2097 ◽  
Author(s):  
J Furustig ◽  
A Almqvist ◽  
L Pelcastre ◽  
CA Bates ◽  
P Ennemark ◽  
...  
Keyword(s):  
Numerical Model ◽  
Numerical Simulations ◽  
Lubricant Film ◽  
Operating Conditions ◽  
Wear Depth ◽  
Hydraulic Motor ◽  
K Value ◽  
Wear Analysis ◽  
Depth Analysis ◽  
Hydraulic Motors

An accurate and reliable wear analysis requires detailed knowledge of the tribological conditions of the studied system. In this work, a numerical model which can quantify wear and is applicable to hydraulic motors is developed. Detailed tribological knowledge can be acquired through strategic experimental testing and numerical simulations. The model is constructed to include the effect on wear from varying lubricant film thickness. The development of the wear model includes consideration of wear observed in the Scanning Electron Microscopy (SEM) analysis of tested motors. The model is of the Archard type, in which the k-value is estimated from experiments, after considering the effect of lubrication. The contact pressure is the solution to a lubrication model that governs both the hydrodynamics of the lubricant film and the direct contact between the rough surfaces. To validate the model, a hydraulic motor is run at different operating conditions and the apparent wear depth is analysed after the tests. Numerical simulations mimicking the same configuration are performed and the predicted wear depths are compared to the experimental results. Similarities and differences are discussed and it is evident that a clear correlation exists between the wear predicted with the model and the measurement data of the apparent wear in the hydraulic motor. There are also discrepancies because of the model simplicity and the uncertainty in the specifications of the tested system. The results imply that wear analysis using numerical simulations aid the understanding of wear in machinery. The combined knowledge of physical conditions on different important scales enables in-depth analysis with numerical tools which cannot be achieved through experimental investigations alone. Furthermore, the numerical model can be refined leading to better wear predictions.

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