Search results for "Multiagent system"

showing 10 items of 108 documents

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
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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
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Efficient distributed average consensus in wireless sensor networks

2020

International audience; Computing the distributed average consensus in Wireless Sensor Networks (WSNs) is investigated in this article. This problem, which is both natural and important, plays a significant role in various application fields such as mobile agents and fleet vehicle coordination, network synchronization, distributed voting and decision, load balancing of divisible loads in distributed computing network systems, and so on. By and large, the average consensus' objective is to have all nodes in the network converged to the average value of the initial nodes' measurements based only on local nodes' information states. In this paper, we introduce a fully distributed algorithm to a…

AtomicitySpeedupComputer Networks and CommunicationsSynchronization networksComputer sciencebusiness.industry020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyEnergy consumptionLoad balancing (computing)[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Consensus[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Distributed algorithm0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkComputer Communications
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A Route toward Protein Sequencing using Solid-State Nanopores Assisted by Machine Learning

2022

Solid-State Nanopores made of 2-D materials such as MoS2 have emerged as one of the most versatile sensors for single-biomolecule detection, which is essential for early disease diagnosis (biomarker detection). One of the most promising applications of SSN is DNA and protein sequencing, at a low cost and faster than the current standard methods. The detection principle relies on measuring the relatively small variations of ionic current as charged biomolecules immersed in an electrolyte traverse the nanopore, in response to an external voltage applied across the membrane. The passage of a biomolecule through the pore yields information about its structure and chemical properties, as demonst…

[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
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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
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Consensus-based Distributed Intrusion Detection for Multi-Robot Systems

2008

This paper addresses a security problem in robotic multi-agent systems, where agents are supposed to cooperate according to a shared protocol. A distributed Intrusion Detection System (IDS) is proposed here, that detects possible non-cooperative agents. Previous work by the authors showed how single monitors embedded on-board the agents can detect non- cooperative behavior, using only locally available information. In this paper, we allow such monitors to share the collected information in order to overcome their sensing limitation. In this perspective, we show how an agreement on the type of behavior of a target-robot may be reached by the monitors, through execution of a suitable consensu…

Engineeringbusiness.industryDistributed computingReal-time computingIntrusion detection systemDecentralised systemUpper and lower boundsComputer Science::Multiagent SystemsConsensusSettore ING-INF/04 - AutomaticaConvergence (routing)Transient (computer programming)Intrusion detectionbusinessIntelligent transportation systemProtocol (object-oriented programming)set--valued consensus algorithm
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Engineering multi-agent systems: State of affairs and the road ahead

2019

International audience; The continuous integration of software-intensive systems together with the ever-increasing computing power offer a breeding ground for intelligent agents and multi-agent systems (MAS) more than ever before. Over the past two decades, a wide variety of languages, models, techniques and methodologies have been proposed to engineer agents and MAS. Despite this substantial body of knowledge and expertise, the systematic engineering of large-scale and open MAS still poses many challenges. Researchers and engineers still face fundamental questions regarding theories, architectures, languages, processes, and platforms for designing, implementing, running, maintaining, and e…

EngineeringMultiagent systems D2DesignStandardizationIntelligent agentsHuman FactorsState of affairs02 engineering and technologycomputer.software_genreMulti-Agent SystemsBody of knowledgeIntelligent agentEngineering020204 information systems0202 electrical engineering electronic engineering information engineeringTheory[INFO]Computer Science [cs]ExperimentationComputer. AutomationInformáticaTelecomunicacionesMulti-Agent SystemRequirements engineeringbusiness.industryMulti-agent systemAgent-Oriented Software Engineering020207 software engineeringGeneral MedicineAgentsReliabilityAgent-Oriented ProgrammingStandardizationVariety (cybernetics)Continuous integrationEngineering managementMAS ArchitectureVerification Keywords Software engineeringGoal ReasoningAISecurityLanguages020201 artificial intelligence & image processingbusinessEngineering sciences. Technologycomputer
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Metamodel-based metrics for agent-oriented methodologies

2012

A great number of methodologies has been already intro duced in the agent-oriented software engineering field. Recently many of the authors of these methodologies also worked on their fragmentation thus obtaining portions (often called method or process fragments) that may be composed into new methodologies. The great advancement in this field, however does not correspond to equivalent results in the evaluation of the methodologies and their fragments. It is, for instance, difficult to select a fragment in the composition of a new methodology and to predict the methodology’s resulting features. This work introduces a suite of metrics for evaluating and comparing entire methodologies but als…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimetrics agent orinted methodology[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]
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On the collision property of chaotic iterations based post-treatments over cryptographic pseudorandom number generators

2018

International audience; There is not a proper mathematical definition of chaos, we have instead a quite big amount of definitions, each of one describes chaos in a more or less general context. Taking in account this, it is clear why it is hard to design an algorithm that produce random numbers, a kind of algorithm that could have plenty of concrete appliceautifat (anul)d bions. However we must use a finite state machine (e.g. a laptop) to produce such a sequence of random numbers, thus it is convenient, for obvious reasons, to redefine those aimed sequences as pseudorandom; also problems arise with floating point arithmetic if one wants to recover some real chaotic property (i.e. propertie…

Pseudorandom number generator020203 distributed computingSequenceFinite-state machineDynamical systems theoryComputer science010102 general mathematicsChaotic[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]0101 mathematicsBoolean functionAlgorithmRandomnessGenerator (mathematics)2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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On Analytical vs . Schizophrenic Procedures for Computing Music

2009

The authors present a perspective on computer music, which is based on some particular definitions of music in relation to oral culture and cybernetics. They describe some experiments with different models of neural architectures which generate original music, and then suggest that if such neural systems are rich, effective and intuitive enough to produce ‘live’ music, the understanding of their behaviour may require the development of some ‘schizophrenic’ procedures, as well as analytical ones.

Relation (database)Computer science[ SHS.MUSIQ ] Humanities and Social Sciences/Musicology and performing arts[SCCO.COMP]Cognitive science/Computer science[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]050105 experimental psychology[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]03 medical and health sciences0302 clinical medicine[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Music information retrievalCybernetics0501 psychology and cognitive sciences[ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ComputingMilieux_MISCELLANEOUSCognitive science[SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts[ INFO.INFO-ET ] Computer Science [cs]/Emerging Technologies [cs.ET]Artificial neural networkMulti-agent system[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesPerspective (graphical)Pop music automation[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD][ SCCO.NEUR ] Cognitive science/Neuroscience[ INFO.EIAH ] Computer Science [cs]/Technology for Human Learning[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]Computer music[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.EIAH]Computer Science [cs]/Technology for Human Learning[ INFO.INFO-SD ] Computer Science [cs]/Sound [cs.SD][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing030217 neurology & neurosurgeryMusic
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