COLLECTIVE BEHAVIOR OF INTERACTING PARTICLES: RADIUS-DEPENDENT PHASE TRANSITION

2013 ◽  
Vol 27 (04) ◽  
pp. 1350028 ◽  
Author(s):  
I. TARRAS ◽  
N. MOUSSA ◽  
M. MAZROUI ◽  
Y. BOUGHALEB ◽  
A. HAJJAJI
Keyword(s):  
Phase Transition ◽  
Collective Behavior ◽  
Collective Motion ◽  
Simulation Method ◽  
Critical Value ◽  
Original Model ◽  
Multi Agent System ◽  
Interacting Particles ◽  
Main Motivation ◽  
Multi Agent

The aim of this paper is to study and discuss the effect of three zones (repulsion zone, orientation zone and attraction zone) on the phase transition in 2D-collective moving particles. Our main motivation is to better understand the complex behavior of non-equilibrium multi-agent system by extending the earlier and original model proposed by Viscek et al. [T. Viscek et al., Phys. Rev. Lett.75 (1995) 1226] for one zone. The analysis is performed over different situations by using a numerical simulation method. It is found that the radius R2 of orientation zone plays an important role in the system. In effect, by varying the parameter R2 a phase transition can be achieved from disordered moving of individuals to a group to highly aligned collective motion. The results also show that, the critical value of R2 at which the transition emerges depends strongly on the size of the repulsion zone but not on the size of attraction one.

iCampus

2010 ◽  
Vol 2 (1) ◽  
pp. 59-65 ◽  
Author(s):  
Stefano Bromuri ◽  
Visara Urovi ◽  
Kostas Stathis
Keyword(s):  
Real Time ◽  
Mobile Phones ◽  
Ambient Intelligence ◽  
Multi Agent System ◽  
Campus Network ◽  
University Campus ◽  
Event Calculus ◽  
Main Motivation ◽  
Multi Agent ◽  
Partially Sighted

iCampus is a prototype multi-agent system whose goal is to provide the ambient intelligence required to connect people in a university campus and make that campus inclusive and accessible. Software agents called guides run on mobile phones to help students with information about people, places, and events, thus providing people real-time, location-based advice that makes them more aware of what is going on in the campus. The work outlines how to specify iCampus in the Ambient Event Calculus and implement it using the agent environment GOLEM to deploy guide agents over a campus network. The work is illustrated by showing how iCampus improves the mobility of blind or partially sighted students within a campus, which has been the main motivation behind the work.

iCampus

2011 ◽  
pp. 58-64
Author(s):  
Stefano Bromuri ◽  
Visara Urovi ◽  
Kostas Stathis
Keyword(s):  
Real Time ◽  
Mobile Phones ◽  
Ambient Intelligence ◽  
Multi Agent System ◽  
Campus Network ◽  
University Campus ◽  
Event Calculus ◽  
Main Motivation ◽  
Multi Agent ◽  
Partially Sighted

iCampus is a prototype multi-agent system whose goal is to provide the ambient intelligence required to connect people in a university campus and make that campus inclusive and accessible. Software agents called guides run on mobile phones to help students with information about people, places, and events, thus providing people real-time, location-based advice that makes them more aware of what is going on in the campus. The work outlines how to specify iCampus in the Ambient Event Calculus and implement it using the agent environment GOLEM to deploy guide agents over a campus network. The work is illustrated by showing how iCampus improves the mobility of blind or partially sighted students within a campus, which has been the main motivation behind the work.

On the Number of Informed Agents and Their Initial Positions in a Free Flocking

2013 ◽  
Vol 135 (5) ◽  
Author(s):  
Ali Reza Paygani ◽  
Mohammad Haeri
Keyword(s):  
Computer Simulations ◽  
Collective Behavior ◽  
Initial Position ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Points Of View

In a multi-agent system, the number and initial position of informed agents play a major role in the convergence of uninformed agents. In this paper, three different patterns of informed agents' initial positions are studied to see how the convergence percentage can be affected by the number of informed agents. The proposed initial locations are intuitive and inferred from the collective behavior in humans. To evaluate efficiency of the proposed methods and to compare them from different points of view, large number of computer simulations is performed and results are analyzed.

scholarly journals ASSESSMENT OF CONSEQUENCES OF IMPLEMENTATION OF LARGE-SCALE INFRASTRUCTURE PROJECTS BASED ON THE AGENT APPROACH: TOPOLOGY OF THE MULTIAGENT SYSTEM

2019 ◽  
Vol 3 (1) ◽  
pp. 109-116
Author(s):  
Tatyana Yesikova ◽  
Svetlana Vakhrusheva
Keyword(s):  
Large Scale ◽  
Multiagent System ◽  
Road Construction ◽  
Simulation Method ◽  
Subject Area ◽  
Modeling Processes ◽  
Multi Agent System ◽  
Bering Strait ◽  
Agent System ◽  
Multi Agent

The article poses the problem of modeling processes associated with the construction of large-scale infrastructural projects in the context of the Bering Strait tunnel (road construction in the Far North). The purpose of the simulation is to identify potential problems and estimate losses for various participants in similar projects. The study is based on such a simulation method as multi-agent modeling. The article describes the basics of building the topology of a multi-agent system in relation to this task: decomposing a process into subprocesses, identifying the main active agents, describing of the characteristics (attributes) of these agents, determining the type of their interaction. The article also presents a graph that is the prototype of a multi-agent system for a specific subject area and a description of the interactions of the identified agents.

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