97,650 research outputs found
Ontology driven multi-agent systems : an architecture for sensor web applications.
Thesis (Ph.D.)-University of KwaZulu-Natal, 2009.Advances in sensor technology and space science have resulted in the availability of vast quantities of
high quality earth observation data. This data can be used for monitoring the earth and to enhance our
understanding of natural processes. Sensor Web researchers are working on constructing a worldwide
computing infrastructure that enables dynamic sharing and analysis of complex heterogeneous earth observation
data sets. Key challenges that are currently being investigated include data integration; service
discovery, reuse and composition; semantic interoperability; and system dynamism. Two emerging technologies
that have shown promise in dealing with these challenges are ontologies and software agents.
This research investigates how these technologies can be integrated into an Ontology Driven Multi-Agent
System (ODMAS) for the Sensor Web.
The research proposes an ODMAS framework and an implemented middleware platform, i.e. the
Sensor Web Agent Platform (SWAP). SWAP deals with ontology construction, ontology use, and agent
based design, implementation and deployment. It provides a semantic infrastructure, an abstract architecture,
an internal agent architecture and a Multi-Agent System (MAS) middleware platform. Distinguishing
features include: the incorporation of Bayesian Networks to represent and reason about uncertain
knowledge; ontologies to describe system entities such as agent services, interaction protocols and agent
workflows; and a flexible adapter based MAS platform that facilitates agent development, execution and
deployment. SWAP aims to guide and ease the design, development and deployment of dynamic alerting
and monitoring applications. The efficacy of SWAP is demonstrated by two satellite image processing
applications, viz. wildfire detection and monitoring informal settlement. This approach can provide significant
benefits to a wide range of Sensor Web users. These include: developers for deploying agents
and agent based applications; end users for accessing, managing and visualising information provided by
real time monitoring applications, and scientists who can use the Sensor Web as a scientific computing
platform to facilitate knowledge sharing and discovery.
An Ontology Driven Multi-Agent Sensor Web has the potential to forever change the way in which
geospatial data and knowledge is accessed and used. This research describes this far reaching vision,
identifies key challenges and provides a first step towards the vision
Towards engineering ontologies for cognitive profiling of agents on the semantic web
Research shows that most agent-based collaborations
suffer from lack of flexibility. This is due to the fact that
most agent-based applications assume pre-defined
knowledge of agents’ capabilities and/or neglect basic
cognitive and interactional requirements in multi-agent
collaboration. The highlight of this paper is that it brings
cognitive models (inspired from cognitive sciences and HCI)
proposing architectural and knowledge-based requirements
for agents to structure ontological models for cognitive
profiling in order to increase cognitive awareness between
themselves, which in turn promotes flexibility, reusability
and predictability of agent behavior; thus contributing
towards minimizing cognitive overload incurred on humans.
The semantic web is used as an action mediating space,
where shared knowledge base in the form of ontological
models provides affordances for improving cognitive
awareness
Practical applications of multi-agent systems in electric power systems
The transformation of energy networks from passive to active systems requires the embedding of intelligence within the network. One suitable approach to integrating distributed intelligent systems is multi-agent systems technology, where components of functionality run as autonomous agents capable of interaction through messaging. This provides loose coupling between components that can benefit the complex systems envisioned for the smart grid. This paper reviews the key milestones of demonstrated agent systems in the power industry and considers which aspects of agent design must still be addressed for widespread application of agent technology to occur
Integrating an agent-based wireless sensor network within an existing multi-agent condition monitoring system
The use of wireless sensor networks for condition monitoring is gaining ground across all sectors of industry, and while their use for power engineering applications has yet been limited, they represent a viable platform for next-generation substation condition monitoring systems. For engineers to fully benefit from this new approach to condition monitoring, new sensor data must be incorporated into a single integrated system. This paper proposes the integration of an agent-based wireless sensor network with an existing agent-based condition monitoring system. It demonstrates that multi-agent systems can be extended down to the sensor level while considering the reduced energy availability of low-power embedded devices. A novel agent-based approach to data translation is presented, which is demonstrated through two case studies: a lab-based temperature and vibration monitoring system, and a proposal to integrate a wireless sensor network to an existing technology demonstrator deployed in a substation in the UK
Densifying the sparse cloud SimSaaS: The need of a synergy among agent-directed simulation, SimSaaS and HLA
Modelling & Simulation (M&S) is broadly used in real scenarios where making
physical modifications could be highly expensive. With the so-called Simulation
Software-as-a-Service (SimSaaS), researchers could take advantage of the huge
amount of resource that cloud computing provides. Even so, studying and
analysing a problem through simulation may need several simulation tools, hence
raising interoperability issues. Having this in mind, IEEE developed a standard
for interoperability among simulators named High Level Architecture (HLA).
Moreover, the multi-agent system approach has become recognised as a convenient
approach for modelling and simulating complex systems. Despite all the recent
works and acceptance of these technologies, there is still a great lack of work
regarding synergies among them. This paper shows by means of a literature
review this lack of work or, in other words, the sparse Cloud SimSaaS. The
literature review and the resulting taxonomy are the main contributions of this
paper, as they provide a research agenda illustrating future research
opportunities and trends
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