Search results for "Multiagent Systems"

showing 10 items of 104 documents

A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning

2013

Published version of a chapter in the book: Recent Trends in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-38577-3_7 Managing the uncertainties that arise in disasters – such as ship fire – can be extremely challenging. Previous work has typically focused either on modeling crowd behavior or hazard dynamics, targeting fully known environments. However, when a disaster strikes, uncertainty about the nature, extent and further development of the hazard is the rule rather than the exception. Additionally, crowd and hazard dynamics are both intertwined and uncertain, making evacuation planning extremely difficult. To address this chal…

Hazard (logic)Crowd dynamicsOperations researchVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412Computer scienceHazard Modeling02 engineering and technologyCrowd ModelingTime step11. Sustainability0202 electrical engineering electronic engineering information engineeringCrowd psychologyDynamic Bayesian networkbusiness.industryEvacuation Planning020207 software engineeringStatistical modelCrowd modelingAnt Based Colony OptimizationCrowd evacuation13. Climate action[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020201 artificial intelligence & image processingArtificial intelligenceDynamic Bayesian Networksbusiness
researchProduct

Advances in the enumeration of foldable self-avoiding walks

2020

<font color="#336633"&gtSelf-avoiding walks (SAWs) have been studied for a long time due to their intrinsic importance and the many application fields in which they operate. A new subset of SAWs, called foldable SAWs, has recently been discovered when investigating two different SAW manipulations embedded within existing protein structure prediction (PSP) software. Since then, several attempts have been made to find out more about these walks, including counting them. However, calculating the number of foldable SAWs appeared as a tough work, and current supercomputers fail to count foldable SAWs of length exceeding ≈ 30 steps. In this article, we present new progress in this enumeration, bo…

Hexagonal crystal systemComputer sciencebusiness.industry[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-IU] Computer Science [cs]/Ubiquitous ComputingUpper and lower boundsParallel genetic algorithmComputational MathematicsSoftwareComputational Theory and MathematicsHardware and ArchitectureModeling and Simulation[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET]Genetic algorithm[INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Enumeration[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationbusinessAlgorithmSoftware[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]International Journal of Computational Science and Engineering
researchProduct

Towards the Design of Respond Action in Disaster Management Using Knowledge Modeling

2017

This position paper highlights current problems linked to the aspects of the multi-agency collaboration during disaster response. The coordination and cooperation depend on the information sharing and use which must face up to interoperability, access rights, and quality problems. The research project aims at providing an assessment of information impact on the disaster response in order to support the decision-making about what information shared or what quality of data used to improve the response efficiency. Our research approach propose to combine an information system able to integrate heterogeneous data and a simulation system to assess different strategies of information sharing, dis…

Information managementEngineeringKnowledge managementEmergency managementbusiness.industryInformation sharingInteroperability02 engineering and technologyOpen dataKnowledge modelingKnowledge base[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020204 information systems0202 electrical engineering electronic engineering information engineeringInformation system[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]020201 artificial intelligence & image processing[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]businessComputingMilieux_MISCELLANEOUS
researchProduct

SEMANTIC MANAGEMENT OF INTELLIGENT MULTI-AGENTS SYSTEMS IN A 3D ENVIRONMENT

2011

8 pages; International audience; This paper presents a new approach combining the 3D elements composing the environment of mobile agents with semantic descriptors from Building Information Models. Our proposal is based on the IFC standard, which is used in the field of Civil Engineering to build digital models of buildings during the design phase. The semantic of IFC objects composing the 3D environment is used to select and set up 3D objects and elements of simulation scenarios. The result of this process dynamically generates the input files for the JaSIM environment that performs the simulation. These files deserve the representation of the virtual environment in which the simulation is …

Knowledge managementComputer sciencebusiness.industryOntology0211 other engineering and technologiesIntelligent decision support system02 engineering and technologySemantic interoperabilityOntology (information science)Semantic data modelSemantic gridBuilding information modelingHuman–computer interactionInformation model[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Intelligent Multi-Agents SystemsSemantic computing021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]020201 artificial intelligence & image processing[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]businessKnowledge AcquisitionIndustry Foundation Classes
researchProduct

Introduction to Communication and Information Systems Technology for Crisis and Disaster Management Minitrack

2015

International audience

Knowledge managementProcess managementBusiness continuityEmergency managementbusiness.industryComputer science[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Information systemInformation technologybusinessComputingMilieux_MISCELLANEOUS
researchProduct

Non-linear protocols for optimal distributed consensus in networks of dynamic agents

2006

We consider stationary consensus protocols for networks of dynamic agents with fixed topologies. At each time instant, each agent knows only its and its neighbors'' state, but must reach consensus on a group decision value that is function of all the agents'' initial state. We show that the agents can reach consensus if the value of such a function is time-invariant when computed over the agents'' state trajectories. We use this basic result to introduce a non-linear protocol design rule allowing consensus on a quite general set of values. Such a set includes, e.g., any generalized mean of order p of the agents'' initial states. As a second contribution we show that our protocol design is t…

Lyapunov functionMathematical optimizationDecentralized controlGeneral Computer ScienceConsensus protocols; Decentralized control; Networks; Optimal controlUniform consensussymbols.namesakeConsensusComputer Science::Systems and ControlElectrical and Electronic EngineeringMathematicsMechanism designSupervisorbusiness.industryMechanical EngineeringRational agentDecentralised systemOptimal controlComputer Science::Multiagent SystemsConsensus protocolsControl and Systems EngineeringsymbolsArtificial intelligenceSettore MAT/09 - Ricerca OperativaNetworksbusinessGame theorySystems &amp; Control Letters
researchProduct

Trajectory Decentralized Fuzzy Control of Multiple UAVs.

2008

This paper considers a complete position and heading rate control system for multiple unmanned aerial vehicles (UAVs) with constant altitude. A decentralized trajectory planning algorithm is proposed, where the UAVs will avoid collisions while moving. In order to stabilize the UAVs in the reference planned trajectories and ensure the boundedness of the control velocities, a fuzzy control law is proposed with Lyapunov's stability proof. Simulation experiments developed in Matlab environment confirm the effectiveness and the robustness of the proposed control algorithm with respect to possible turbulence disturbances perturbing the nominal motion of the UAVs.

Lyapunov stabilityLyapunov functionAutomatic controlComputer scienceTrajectory Decentralized Fuzzy Control Multiple UAVFuzzy control systemMotion controlComputer Science::Multiagent SystemsComputer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theoryControl systemTrajectorysymbolsMotion planning
researchProduct

MRF Model-Based Approach for Image Segmentation Using a Chaotic MultiAgent System

2006

In this paper, we propose a new Chaotic MultiAgent System (CMAS) for image segmentation. This CMAS is a distributed system composed of a set of segmentation agents connected to a coordinator agent. Each segmentation agent performs Iterated Conditional Modes (ICM) starting from its own initial image created initially from the observed one by using a chaotic mapping. However, the coordinator agent receives and diversifies these images using a crossover and a chaotic mutation. A chaotic system is successfully used in order to benefit from the special chaotic characteristic features such as ergodic property, stochastic aspect and dependence on initialization. The efficiency of our approach is s…

Markov random fieldbusiness.industryComputer scienceMulti-agent systemCrossoverChaoticInitializationImage segmentationComputingMethodologies_ARTIFICIALINTELLIGENCEComputer Science::Multiagent SystemsNonlinear Sciences::Chaotic DynamicsComputerSystemsOrganization_MISCELLANEOUSIterated conditional modesSegmentationArtificial intelligencebusinessAlgorithm
researchProduct

MECHANISM DESIGN FOR OPTIMAL CONSENSUS PROBLEMS

2006

We consider stationary consensus protocols for networks of dynamic agents with fixed and switching topologies. At each time instant, each agent knows only its and its neighbors’ state, but must reach consensus on a group decision value that is function of all the agents’ initial state.We show that our protocol design is the solution of individual optimizations performed by the agents. This notion suggests a game theoretic interpretation of consensus problems as mechanism design problems. Under this perspective a supervisor entails the agents to reach a consensus by imposing individual objectives. We prove that such objectives can be chosen so that rational agents have a unique optimal proto…

Mathematical optimizationMechanism designDynamic agentsComputer sciencemedia_common.quotation_subjectDistributed computingmechanismcontainment controlRational agentStationary consensus protocolsNetwork topologyTopologyUniform consensusComputer Science::Multiagent SystemsSwitching topologiesComputer Science::Systems and ControlDynamic agents; Protocol design; Stationary consensus protocols; Switching topologiesSettore MAT/09 - Ricerca OperativaFunction (engineering)Protocol designProtocol (object-oriented programming)Game theoryMulti agent systemsmedia_common
researchProduct

Towards a Formal Analysis of MQtt Protocol in the Context of Communicating Vehicles

2017

International audience; The paper presents a formal approach to model, analyze, and verify a variant of Message Queue Telemetry Transport protocol (MQtt), dedicated to communicating vehicles (MQtt-CV) that send collected data to automotive infrastructures(subscribers). Our formal approach is based on Promela language and its system verification tool, the model checker SPIN. We propose a slight modification of MQtt protocol to reduce the big volume of data collected and sent by vehicles to infrastructures. Indeed, in the original version of MQtt protocol, when a broker receives data from publishers, it sends them directly to its subscribers without any filtration. As consequence, subscribers…

Model checkingComputer scienceDistributed computingAutomotive industryContext (language use)02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]0202 electrical engineering electronic engineering information engineeringProtocol (object-oriented programming)computer.programming_languageMQTTbusiness.industryVolume (computing)020206 networking & telecommunications020207 software engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationPromela[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessMessage queuecomputerComputer network
researchProduct