Search results for " Agenti"

showing 4 items of 34 documents

Agents driven smart sensors

2017

Any physical area (like schools, home, hospitals etc.) that uses either mobile devices, sensors, embedded systems or computers to gather information from the users and the environment and eventually, adapt according to the new information gained. [1] Smart spaces compromises of heterogeneous hardware which often leads to the issues of interoperability. One way of reducing the heterogeneity between the sensors is to introduce the semantic interface as sensors default interface. Semantic Web provides a common interface and for-mat for data representation so that one can decrease the heterogeneity of data and increase data reusability. [2] With the Smart Spaces, it is important to use only the…

hajautetut järjestelmätheterogeneous hard-wareinteroperabilityrajapinnatsemanttinen webagentsrajapinnat (tietokoneohjelmat)semantic webdata reusabilitydistributed platformssmart sensorssemantic sensorsälykkäät agentitälytekniikkaanturit
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Self-management in distributed systems : smart adaptive framework for pervasive computing environments

2013

hajautetut järjestelmätself-managementsulautettu tietotekniikkaubiquitous computingautonomiset järjestelmätsemanttinen webväliohjelmistotohjelmistosuunnitteluautonomic computingpervasive computingälykkäät agentitagent-based systemohjelmistokehitysSemantic Web
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Interacting with intelligent agents : key issues in agent-based decision support system design

2010

kognitiovuorovaikutusIntelligent agentstekoälyhuman-agent interactionCognitionagentithuman-computer interactionagenttiteknologiaälykkäät agentithakuohjelmatmulti-agent systemsohjelmistokehitystietojenkäsittelypäätöksentekojärjestelmät
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Explainable Fuzzy AI Challenge 2022 : Winner’s Approach to a Computationally Efficient and Explainable Solution

2022

An explainable artificial intelligence (XAI) agent is an autonomous agent that uses a fundamental XAI model at its core to perceive its environment and suggests actions to be performed. One of the significant challenges for these XAI agents is performing their operation efficiently, which is governed by the underlying inference and optimization system. Along similar lines, an Explainable Fuzzy AI Challenge (XFC 2022) competition was launched, whose principal objective was to develop a fully autonomous and optimized XAI algorithm that could play the Python arcade game “Asteroid Smasher”. This research first investigates inference models to implement an efficient (XAI) agent using rule-based …

päättelyoptimointifuzzy systemsTSKalgoritmiikkaälykkäät agentitsumea logiikkatekoälyAI agentsMamdani inference systemexplainable AI
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