343 research outputs found
Multi-agent systems for power engineering applications - part 2 : Technologies, standards and tools for building multi-agent systems
This is the second part of a 2-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part 1 of the paper examined the potential value of MAS technology to the power industry, described fundamental concepts and approaches within the field of multi-agent systems that are appropriate to power engineering applications, and presented a comprehensive review of the power engineering applications for which MAS are being investigated. It also defined the technical issues which must be addressed in order to accelerate and facilitate the uptake of the technology within the power and energy sector. Part 2 of the paper explores the decisions inherent in engineering multi-agent systems for applications in the power and energy sector and offers guidance and recommendations on how MAS can be designed and implemented. Given the significant and growing interest in this field, it is imperative that the power engineering community considers the standards, tools, supporting technologies and design methodologies available to those wishing to implement a MAS solution for a power engineering problem. The paper describes the various options available and makes recommendations on best practice. It also describes the problem of interoperability between different multi-agent systems and proposes how this may be tackled
Standardization in cyber-physical systems: the ARUM case
Cyber-physical systems concept supports the realization of the Industrie 4.0 vision towards the computerization of traditional industries, aiming to achieve intelligent and reconfigurable factories. Standardization assumes a critical role in the industrial adoption of cyber-physical systems, namely in the integration of legacy systems as well as the smooth migration from existing running systems to the new ones. This paper analyses some existing standards in related fields and presents identified limitations and efforts for a wider acceptance of such systems by industry. A special attention is devoted to the efforts to develop a standard-compliant service-oriented multi-agent system solution within the ARUM project.info:eu-repo/semantics/publishedVersio
Multi-agent systems for power engineering applications - part 1 : Concepts, approaches and technical challenges
This is the first part of a 2-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part 1 of the paper examines the potential value of MAS technology to the power industry. In terms of contribution, it describes fundamental concepts and approaches within the field of multi-agent systems that are appropriate to power engineering applications. As well as presenting a comprehensive review of the meaningful power engineering applications for which MAS are being investigated, it also defines the technical issues which must be addressed in order to accelerate and facilitate the uptake of the technology within the power and energy sector. Part 2 of the paper explores the decisions inherent in engineering multi-agent systems for applications in the power and energy sector and offers guidance and recommendations on how MAS can be designed and implemented
Industrial agents in the era of service-oriented architectures and cloudbased industrial infrastructures
The umbrella paradigm underpinning novel collaborative industrial systems is to consider the set of
intelligent system units as a conglomerate of distributed, autonomous, intelligent, proactive, fault-tolerant,
and reusable units, which operate as a set of cooperating entities (Colombo and Karnouskos,
2009). These entities are forming an evolvable infrastructure, entering and/or going out (plug-in/plugout)
in an asynchronous manner. Moreover, these entities, having each of them their own functionalities,
data, and associated information are now connected and able to interact. They are capable of
working in a proactive manner, initiating collaborative actions and dynamically interacting with each
other in order to achieve both local and global objectives.info:eu-repo/semantics/publishedVersio
A semantic and agent-based approach to support information retrieval, interoperability and multi-lateral viewpoints for heterogeneous environmental databases
PhDData stored in individual autonomous databases often needs to be combined and
interrelated. For example, in the Inland Water (IW) environment monitoring domain,
the spatial and temporal variation of measurements of different water quality indicators
stored in different databases are of interest. Data from multiple data sources is more
complex to combine when there is a lack of metadata in a computation forin and when
the syntax and semantics of the stored data models are heterogeneous. The main types
of information retrieval (IR) requirements are query transparency and data
harmonisation for data interoperability and support for multiple user views. A
combined Semantic Web based and Agent based distributed system framework has
been developed to support the above IR requirements. It has been implemented using
the Jena ontology and JADE agent toolkits. The semantic part supports the
interoperability of autonomous data sources by merging their intensional data, using a
Global-As-View or GAV approach, into a global semantic model, represented in
DAML+OIL and in OWL. This is used to mediate between different local database
views. The agent part provides the semantic services to import, align and parse
semantic metadata instances, to support data mediation and to reason about data
mappings during alignment. The framework has applied to support information
retrieval, interoperability and multi-lateral viewpoints for four European environmental
agency databases.
An extended GAV approach has been developed and applied to handle queries that can
be reformulated over multiple user views of the stored data. This allows users to
retrieve data in a conceptualisation that is better suited to them rather than to have to
understand the entire detailed global view conceptualisation. User viewpoints are
derived from the global ontology or existing viewpoints of it. This has the advantage
that it reduces the number of potential conceptualisations and their associated
mappings to be more computationally manageable. Whereas an ad hoc framework
based upon conventional distributed programming language and a rule framework
could be used to support user views and adaptation to user views, a more formal
framework has the benefit in that it can support reasoning about the consistency,
equivalence, containment and conflict resolution when traversing data models. A
preliminary formulation of the formal model has been undertaken and is based upon
extending a Datalog type algebra with hierarchical, attribute and instance value
operators. These operators can be applied to support compositional mapping and
consistency checking of data views. The multiple viewpoint system was implemented
as a Java-based application consisting of two sub-systems, one for viewpoint
adaptation and management, the other for query processing and query result
adjustment
Improve the Performance of Industrial Agents using Fog Computing
In the last decade, the market requirements have been increasing by demanding
numerous different products being highly customizable. Given this need, the necessity
for dynamic and flexible production lines are a high priority to meet this change.
A traditional approach is not enough to meet the market demand and due to this,
several paradigms have been coined out to try and solve this problem. The proposed
approach is related to communication between the shop-floor modules in order to create
different products.
This work proposes an architecture where an integration layer will join a Multiagent
System capable of the more recent production paradigms with legacy hardware that
is present in the more traditional factories in order to have different products being
produced in the same production line.
This architecture that revolves an interface that can be used by the agents in the
factory in order to use the hardware modules to create a different product if need be.
The main features of this project is the fact that by using datamodels and an interface
created, it can be easily plugged new stations with different tools to modify the product
thus increasing the amount of products that can be created
A Multi-Agent Solution for the Interoperability Issue in Health Information Systems
none5To achieve high quality and efficiency standards,
interoperability between different information systems in health-
care is strongly required. Distribution, high modularity, robust-
ness are features of agent oriented architectures, making Multi-
Agent Systems (MAS) ideal for Health Information Systems
(HIS), as the healthcare domain is characterized by system
and data heterogeneity. This paper presents an agent oriented
architecture to address this kind of issues, capable to access
geographically distributed data to allow health professionals to
retrieve/update any patientâs record efficiently and reliably. The
proposed architecture is composed by three layers, to allow local
data storage keeping clinical information available by authorized
facilities and physicians. Furthermore MAS technology integrates
with legacy systems, wrapping them with agentsP. Sernani;A. Claudi;L. Palazzo;G. Dolcini;A. F. DragoniSernani, Paolo; Claudi, Andrea; Palazzo, Luca; Dolcini, Gianluca; Dragoni, Aldo Franc
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