Methodological design and comparative evaluation of a MAS providing AmI

Researches on Ambient Intelligent and Ubiquitous Computing using wireless technologies have increased in the last years. In this work, we review several scenarios to define a multi-agent architecture that support the information needs of these new technologies, for heterogeneous domain. Our contribution consists of designing in a methodological way a Context Aware System (involving location services) using agents that can be used in very different domains. We describe all the steps followed in the design of the agent system. We apply a hybridizing methodology between GAIA and AUML. Additionally we propose a way to compare different agent architectures for Context Aware System using agent interactions. So, in this paper, we describe the assignment of weight values to agents interaction in two different MAS architectures for Context Aware problems solving different scenarios inspired in FIPA standard negotiation protocols.Publicad

Conceptual multi-agent system design for distributed scheduling systems

With the progressive increase in the complexity of dynamic environments, systems require an evolutionary configuration and optimization to meet the increased demand. In this sense, any change in the conditions of systems or products may require distributed scheduling and resource allocation of more elementary services. Centralized approaches might fall into bottleneck issues, becoming complex to adapt, especially in case of unexpected events. Thus, Multi-agent systems (MAS) can extract their automatic and autonomous behaviour to enhance the task effort distribution and support the scheduling decision-making. On the other hand, MAS is able to obtain quick solutions, through cooperation and smart control by agents, empowered by their coordination and interoperability. By leveraging an architecture that benefits of a collaboration with distributed artificial intelligence, it is proposed an approach based on a conceptual MAS design that allows distributed and intelligent management to promote technological innovation in basic concepts of society for more sustainable in everyday applications for domains with emerging needs, such as, manufacturing and healthcare scheduling systems.This work has been supported by FCT - Fundação para a Ciência e a Tecnologia within the R&D Units Projects Scope: UIDB/00319/2020 and UIDB/05757/2020. Filipe Alves is supported by FCT Doctorate Grant Reference SFRH/BD/143745/2019.info:eu-repo/semantics/publishedVersio

Agent-based context-aware healthcare information retrieval using DROPT approach

As the volume of information available on the Web information systems is growing continuously, browsing this content becomes a tedious task given the presentation of data that does meet user's aims and needs. In this paper, to satisfy user needs, an agent-based paradigm is an appropriate solution which gives outputs suitable to the user in the form of highly ranked documents. Conversely, patient care and a health condition commonly require collaboration between healthcare providers. The emergence of agent's technology motivates radical changes of how information is obtained. This paper addresses this problem by proposing a novel DROPT (Document Ranking OPTimization) measure for information retrieval results to validate the effectiveness of the information management tasks. We propose information retrieval system architecture, which main components are context aware agent’s technology to meet users' information needs

AGENT-BASED CONTEXT-AWARE HEALTHCARE INFORMATION RETRIEVAL USING DROPT APPROACH

As the volume of information available on the Web information systems is growing continuously, browsing this content becomes a tedious task given the presentation of data that does meet user's aims and needs. In this paper, to satisfy user needs, an agent-based paradigm is an appropriate solution which gives outputs suitable to the user in the form of highly ranked documents. Conversely, patient care and a health condition commonly require collaboration between healthcare providers. The emergence of agent's technology motivates radical changes of how information is obtained. This paper addresses this problem by proposing a novel DROPT (Document Ranking OPTimization) measure for information retrieval results to validate the effectiveness of the information management tasks. We propose information retrieval system architecture, which main components are contextaware agent’s technology to meet users' information needs