Multiagent Decision Support Systems based on Supervised Learning

Czibula, Gabriela; Guran, Adriana-Mihaela; Cojocar, Grigoreta Sofia; Czibula, Istvan Gergely

doi:10.1109/aqtr.2008.4588943

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Query input: the way in which users formulate requests towards the SPA. Requests can either be predefined formal prompts that users must know to trigger a desired action [37], natural language requests [31] or accumulations of sensor data which, from a user perspective, is often collected unconsciously [9].…”

Section: Spa Design Characteristicsmentioning

confidence: 99%

Classifying Smart Personal Assistants: An Empirical Cluster Analysis

Knote

Janson

Söllner

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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The digital age has yielded systems that increasingly reduce the complexity of our everyday lives. As such, smart personal assistants such as Amazon's Alexa or Apple's Siri combine the comfort of intuitive natural language interaction with the utility of personalized and situation-dependent information and service provision. However, research on SPAs is becoming increasingly complex and opaque. To reduce complexity, this paper introduces a classification system for SPAs. Based on a systematic literature review, a cluster analysis reveals five SPA archetypes:

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Section: Spa Design Characteristicsmentioning

confidence: 99%

Classifying Smart Personal Assistants: An Empirical Cluster Analysis

Knote

Janson

Söllner

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…A Figura 1 apresenta a arquitetura em alto-nível do sistema. Em concordância com trabalhos presentes na literatura ( [1], [4] e [11]), a arquitetura apresenta um agente especializado em recepcionar dados do usuário e comunicar aos agentes do SMA as requisições realizadas pelo usuário durante a interação com o SAD. Tal agente é chamado Agente Comunicador.…”

Section: Modelo Propostounclassified

“…Não se tem garantias da otimalidade das soluções concebidas. 4. Erros dispendiosos podem se repetir pois não é possível aprender com falhas de experiências anteriores [5].…”

Section: Introductionunclassified

Um Sistema de Apoio à Decisão Baseado em Agentes para Tratamento de Ocorrências no Setor Elétrico

Neto

Teles

Ivamoto

et al. 2011

RITA

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Resumo: Empresas fornecedoras de energia elétrica e mantenedoras das redes de distribuição lidam diariamente com a reparação de falhas na rede elétrica e alocação de veículos especializados para atendimento de ocorrências. Em geral, tais empresas dispõem de recursos humanos limitados para cumprir estas atividades. Este artigo apresenta um Sistema de Apoio à Decisão Inteligente (SADI) que propõe-se a apoiar estas tarefas oferecendo sugestões de como distribuir e alocar veículos para efetuar manutenções na rede elétrica. A inteligência do SADI é implementada com a tecnologia de agentes, uma abstração ideal considerando o caráter distribuído do problema em questão.

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“…Several multiagent systems for knowledge discovery have recently been proposed [2,10,12]. Multiple agents acting on different environments extract a local knowledge and communicate this information back to the central administrator agent to form a knowledge pool about the domain.…”

Section: Introductionmentioning

confidence: 99%

A Self-Organized Multiagent System for Intrusion Detection

Palomo

Domínguez

Luque

et al. 2009

Lecture Notes in Computer Science

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Abstract. This paper describes a multiagent system with capabilities to analyze and discover knowledge gathered from distributed agents. These enhanced capabilities are obtained through a dynamic self-organizing map and a multiagent communication system. The central administrator agent dynamically obtains information about the attacks or intrusions from the distributed agents and maintains a knowledge pool using a proposed growing self-organizing map. The approach integrates traditional mathematical and data mining techniques with a multiagent system. The proposed system is used to build an intrusion detection system (IDS) as a network security application. Finally, experimental results are presented to confirm the good performance of the proposed system.

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Multiagent Decision Support Systems based on Supervised Learning

Cited by 4 publications

References 9 publications

Classifying Smart Personal Assistants: An Empirical Cluster Analysis

Classifying Smart Personal Assistants: An Empirical Cluster Analysis

Um Sistema de Apoio à Decisão Baseado em Agentes para Tratamento de Ocorrências no Setor Elétrico

A Self-Organized Multiagent System for Intrusion Detection

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