Search results for "Agent architecture"

showing 3 items of 13 documents

Introducing the Concept of Hyperactivity in Multi Agent Systems

2013

International audience; Software Agents are no longer the simple communication gateways for devices to interconnect using one or more networks. With Multi Agent Systems contributing in a wide spectrum of intelligent systems, the Agents are in a more proactive role than just being responsible for passing messages between their respective base systems. Agent Relation Charts and the Hyperactive Transaction Model in general is one of the recent attempts of developing a multi-view design model for Multi Agent Systems. The model has made a clear distinction in the regular and intelligent activities of an agent. Based on these differences, the agents are classified into three main categories named…

business.industryComputer scienceMulti-agent systemAutonomous agentIntelligent decision support system020207 software engineering02 engineering and technologycomputer.software_genreComputingMethodologies_ARTIFICIALINTELLIGENCEAgent-based social simulationIntelligent agent[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Belief–desire–intention software modelSoftware agentHuman–computer interaction[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessAgent architecturecomputer
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Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture

2020

In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…

decision supportComputer science020209 energyCompromisemedia_common.quotation_subjectpäätöksentekopäätöksentukijärjestelmät02 engineering and technologycomputer.software_genreMulti-objective optimizationField (computer science)Data-drivenIntelligent agentcomputational intelligence0202 electrical engineering electronic engineering information engineeringmulti-agent systemsAgent architecturemultiple criteria optimizationGeneral Environmental Sciencemedia_commoninteractive methodsmonitavoiteoptimointiagentsRisk analysis (engineering)data-driven decision makinginteraktiivisuusälykkäät agentitGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingcomputer
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Modelling the Tactical Behaviour of the Australian Population in a Bushfire

2015

This paper is concerned with the development of an agent-based model of population behaviour during a bushfire, to form the basis of a simulator that will be used as a decision-support tool for emergency managers. To ensure the validity of the simulation results, it is essential that the model, and the underlying agent architecture, are as realistic as possible. After providing some context about recent bushfires in Victoria, Australia, we justify the need for a BDI (belief, desire, intention) agent architecture. Although some tools exist to support the integration of such agents in simulations, they are infrequently used. We therefore show how an existing methodology for modelling military…

education.field_of_studyAustralian populationRisk analysis (engineering)Computer scienceMilitary tacticsField (Bourdieu)PopulationContext (language use)Crisis managementAgent architectureeducation
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