Modelling urban phenomena with cellular automata

2000 ◽  
Vol 03 (01n04) ◽  
pp. 127-140 ◽  
Author(s):  
Diane Vanbergue ◽  
Jean-Pierre Treuil ◽  
Alexis Drogoul
Keyword(s):  
Cellular Automata ◽  
Urban Migration ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Complex Phenomena ◽  
Multi Agents

Multi-agents systems are frequently used to study complex phenomena and offer tools that interest urban specialists. The aim of this article is to present an example of an approach on the phenomenon of intra-urban migration in Bogota. Our model is based on one of the simplest form of multi-agent systems, kind of cellular automata, where migrants are seen as population flow. It allows us to build an artificial city, based on real census, and also to represent the behaviour of the population, determined by its representation of the different districts. This paper presents the formalism of the model and some results.

Approach for Negotiation Problems in Multi-Agent Systems for DC Micro Grid Using Multi-Objective Evolutionary Algorithms

2015 ◽  
Vol 713-715 ◽  
pp. 2106-2109
Author(s):  
Mauricio Mauledoux ◽  
Edilberto Mejía-Ruda ◽  
Oscar I. Caldas
Keyword(s):  
Genetic Algorithms ◽  
Evolutionary Algorithms ◽  
Pareto Optimal ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Objective ◽  
Multi Agent ◽  
Micro Grid ◽  
Optimal Space ◽  
Multi Agents

The work is devoted to solve allocation task problem in multi agents systems using multi-objective genetic algorithms and comparing the technique with methods used in game theories. The paper shows the main advantages of genetic algorithms and the way to apply a parallel approach dividing the population in sub-populations saving time in the search and expanding the coverage of the solution in the Pareto optimal space.

Multi-Agent Control System for the Movement of Uniaxial Objects

2015 ◽  
Vol 237 ◽  
pp. 183-188
Author(s):  
Mirosław Mrozek
Keyword(s):  
Control System ◽  
Point Of View ◽  
Multi Agent Systems ◽  
Control Groups ◽  
Agent Systems ◽  
Multi Agent ◽  
Agent Control ◽  
Classical Control ◽  
And Control ◽  
Multi Agents

Multi-agent systems are used mainly in IT solutions and control groups of robots. From the point of view of classical control architectures, they are a kind of distributed systems in which nodes perform advanced algorithms, usually associated with the technology of artificial intelligence, and they can be considered as agents. The article describes the multi-agents control system of objects of uniaxial movements. An example of such a system to control a repository with movable racks with electric motors is presented. Each rack acts as an agent through the implemented control of the resources of embedded microcontrollers. Such a system provides high quality control, guaranteeing long-lasting, trouble-free operation while maintaining the safety of both service and stored items.

scholarly journals Formation Control of Multi-Agent Systems with Region Constraint

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Zhengquan Yang ◽  
Qing Zhang ◽  
Zengqiang Chen
Keyword(s):  
Formation Control ◽  
Convex Set ◽  
Local Information ◽  
Control Law ◽  
Multi Agent Systems ◽  
Numerical Examples ◽  
Agent Systems ◽  
Multi Agent ◽  
Theoretical Results ◽  
Multi Agents

In this paper, the formation problem for multi-agent systems with region constraint is studied while few researchers consider this problem. The goal is to control all multi-agents to enter the constraint area while reaching formation. Each agent is constrained by a common convex set. A formation control law is presented based on local information of the neighborhood. It is proved that the positions of all the agents would converge to the set constraint while reaching formation. Finally, two numerical examples are presented to illustrate the validity of the theoretical results.

scholarly journals The role of agent-based modeling and multi-agent systems in flood-based hydrological problems: a brief review

2019 ◽  
Vol 11 (4) ◽  
pp. 1580-1602 ◽  
Author(s):  
Jose Simmonds ◽  
Juan A. Gómez ◽  
Agapito Ledezma
Keyword(s):  
Information And Communication Technologies ◽  
Hydrological Cycle ◽  
Point Of View ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Spatial And Temporal Scales ◽  
Agent Systems ◽  
Multi Agent ◽  
Complex Phenomena ◽  
Data Driven Modeling

Abstract Flood problems are complex phenomena with a direct relationship with the hydrological cycle; these are natural processes occurring in water systems, that interact at different spatial and temporal scales. In modeling the hydrological phenomena, traditional approaches, like physics-based mathematical equations and data-driven modeling (DDM) are used. Advances in hydroinformatics are helping to understand these physical processes, with improvements in the collection and analysis of hydrological data, information and communication technologies (ICT), and geographic information systems (GIS), offering opportunities for innovations in model implementation, to improve decision support for the response to societally important floods impacting our societies. This paper offers a brief review of agent-based models (ABMs) and multi-agent systems (MASs) methodologies' applications for solutions to flood problems, their management, assessment, and efforts for forecasting stream flow and flood events. Significant observations from this review include: (i) contributions of agent technologies, as a growing methodology in hydrology; (ii) limitations; (iii) capabilities of dealing with distributed and complex domains; and (iv), the capabilities of MAS as an increasingly accepted point of view applied to flood modeling, with examples presented to show the variety of system combinations that are practical on a specialized architectural level for developing and deploying sophisticated flood forecasting systems.

A METHODOLOGY FOR MODELING MULTI-AGENT SYSTEMS USING NESTED PETRI NETS

2012 ◽  
Vol 22 (07) ◽  
pp. 891-925 ◽  
Author(s):  
LILY CHANG ◽  
XUDONG HE ◽  
SOL M. SHATZ
Keyword(s):  
Formal Model ◽  
Dynamic Structure ◽  
Software Systems ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Distributed Software ◽  
Agent Systems ◽  
Multi Agent ◽  
Communication And Coordination ◽  
Multi Agents

In the past two decades, multi-agent systems have emerged as a new paradigm for conceptualizing large and complex distributed software systems. Even though there are many conceptual frameworks for using multi-agent systems, there is no well established and widely accepted method for the representation of multi-agent systems. We adapt a well-known formal model, predicate transition nets, to include the notions of dynamic structure, agent communication and coordination to address the representation problems. This paper presents a comprehensive methodology for modeling multi-agents based on the extensions. We demonstrate our modeling approach with an example. Several case studies on different application domains from our previous works are also discussed.

Cooperative Behavior Learning Based on Social Interaction of State Conversion and Reward Exchange Among Multi-Agents

2011 ◽  
Vol 15 (5) ◽  
pp. 606-616 ◽  
Author(s):  
Kun Zhang ◽  
◽  
Yoichiro Maeda ◽  
Yasutake Takahashi ◽  
Keyword(s):  
Social Interaction ◽  
Autonomous Agents ◽  
Cooperative Behavior ◽  
Single Agent ◽  
Multi Agent Systems ◽  
Related Individual ◽  
Agent Systems ◽  
Behavior Learning ◽  
Multi Agent ◽  
Multi Agents

In multi-agent systems, it is necessary for autonomous agents to interact with each other in order to have excellent cooperative performance. Therefore, we have studied social interaction between agents to see how they acquire cooperative behavior. We have found that sharing environmental states can improve agent cooperation through reinforcement learning, and that changing environmental states to target-related individual states improves cooperation. To further improve cooperation, we propose reward redistribution based on reward exchanges among agents. In receiving rewards from both the environment and other agents, agents learned how to adjust themselves to the environment and how to explore and strengthen cooperation in tasks that a single agent could not do alone. Agents thus cooperate best through the interaction of state conversion and reward exchange.

scholarly journals Simulating the Conversion of Rural Settlements to Town Land Based on Multi-Agent Systems and Cellular Automata

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e79300 ◽  
Author(s):  
Yaolin Liu ◽  
Xuesong Kong ◽  
Yanfang Liu ◽  
Yiyun Chen
Keyword(s):  
Cellular Automata ◽  
Multi Agent Systems ◽  
Rural Settlements ◽  
Agent Systems ◽  
Multi Agent
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