European Research and Development of Intelligent Information Agents: The AgentLink Perspective

2003 ◽  
pp. 1-21 ◽  
Author(s):  
Matthias Klusch ◽  
Sonia Bergamaschi ◽  
Paolo Petta
Keyword(s):  
Research And Development ◽  
European Research ◽  
Information Agents ◽  
Intelligent Information

Multiagent Systems in the Web

2011 ◽  
pp. 2734-2740
Author(s):  
Hércules Antonio do Prado ◽  
Aluizio Haendchen Filho ◽  
Míriam Sayão ◽  
Edilson Ferneda
Keyword(s):  
Information Systems ◽  
Multiagent Systems ◽  
Business Processes ◽  
Distributed Database ◽  
Information Resources ◽  
Full Potential ◽  
Information Agents ◽  
Extensible Markup ◽  
Intelligent Information ◽  
The Web

The rapid evolution of Internet has opened a new era in the distributed systems scenery: the bigger part of the information systems currently developed is focused in Web applications. Typically, the information resources in Web systems are dynamic, distributed, and heterogeneous. Since these computing environments are opened, information resources can be connected or disconnected at any time. This ubiquity of Web and its distributed and interconnected characteristics represent a natural field for multiagent systems (MAS), spreading this kind of application. Software agents can dynamically discover, orchestrate, and compose services, check activities, run business processes, and integrate heterogeneous applications. Most of the large organizations adopt heterogeneous and complex information systems. These systems must coordinate their applications in order to provide efficient support to business processes and consistent information management. Unfortunately, the operational software underlying these systems usually does not handle multitask distributed heterogeneous applications. Currently, enterprises are strongly interested in the strategic advantages of adopting distributed infrastructures that are designed to be dynamic, flexible, adaptable, and interoperable. In this context, the demand for agent-based applications has increased, opening new types of applications that include e-commerce, Web services, knowledge management, semantic Web, and information systems in general. Interesting solutions to B2B (business to business), e-business, and also applications that require interoperability based on knowledge about applications and business processes, will definitely benefit from the MAS technology. Also, intelligent information agents are regarded as one of the most promising areas for applying agents’ technology. Intelligent information agents act in fields like collaborative systems on Internet, knowledge discovery from heterogeneous sources, systems for intelligent management of information, and so on. The Web can also be seen as a big distributed database having XML (extensible markup language) and its extensions or modifications as an underlying data model. In this context, the MAS development has received support from new tools in order to make it easier for the developer to cope with specific requirements for Web architectures. It is accepted that these improvements in the technology, mainly by the new tools that are becoming available, will lead MAS technology to be explored in its full potential. So, we can state that the application domain of MAS is going to be strongly enlarged, defining a turning point in the systems development activity. In this chapter, we provide an overview on MAS technology, discuss how this technology is impacting the Web context, and provide a sound description of the concepts that are relevant to the application developers and target users.

Demos

2014 ◽  
Vol 2 (4) ◽  
pp. 81-99 ◽  
Author(s):  
Nikolaos Bourbakis ◽  
Lefteri H. Tsoukalas ◽  
Miltiadis Alamaniotis ◽  
Rong Gao ◽  
K. Kerkman
Keyword(s):  
Knowledge Base ◽  
Intelligent Agents ◽  
Smart Cities ◽  
Dynamic Network ◽  
Distributed Model ◽  
Base System ◽  
Model Framework ◽  
Distributed Resources ◽  
Information Agents ◽  
Intelligent Information

In today's dynamic network environments like smart cities, information evolves in distributed resources and in different forms or modalities. An agent or a system that wants to be actively part of this evolution has to be interactive, adaptive, autonomous and intelligent. The paper presents a new version of a distributed model-framework (called Demos) based on autonomous, intelligent agents with anticipatory responses. The first version of the system was proposed by , and the new features (LG Graphs, SPNs and NNs) were embedded in the version presented here. The Demos model is mainly based on the development of an adaptive distributed knowledge base system. Knowledge is represented in a form of frames with internal stochastic Petri-net graph for local representations (KR). A major advantage for the Demos model having a distributed (possibly across the net) is the adaptive knowledge base. Here the authors present the design of an adaptive knowledge model and its challenge, which lays principally on how to learn new knowledge by synthesising SPN forms, and how to develop anticipatory responses at an agent's site. The development of the Demos prototype has a great range of applicability, such as in autonomous negotiating teams, autonomous distributed units for energy efficient distribution, autonomous multiple mobile robots space exploration and maps generation, autonomous intelligent information agents (WWW), automatic information synthesis and fusion, etc. Here the authors have used this model for management of the electric power on a grid of a smart city.

Development of research infrastructure in the condition of globalization: the experience of the Czech Republic

2021 ◽  
pp. 112-116
Author(s):  
Olha Holovashchenko
Keyword(s):  
Czech Republic ◽  
Research And Development ◽  
Innovation System ◽  
Research Area ◽  
European Research Area ◽  
European Research ◽  
The European Union ◽  
The Czech Republic ◽  
Research And Innovation ◽  
Research Infrastructures

Problem setting. The research is devoted to the analysis of the development of research infrastructures of the European Union based on the experience of the Czech Republic. The article analyzes the legal basis and practice of the functioning of research infrastructures in the European Research Area, considers the typology of large research infrastructures. The purpose of the article is to analyze the development of research infrastructures in the EU, in particular, on the example of the Czech Republic. Analysis of resent researches and publications. Today, aspects of the development of innovation systems and research infrastructures of the European Union are a topic for research of many domestic scientists. However, the issue of integration of the scientific and innovative system of Ukraine into the European Research Area remains urgent. Article's main body. Research infrastructures means a research facility necessary for conducting comprehensive research and development with high financial and technology demands, approved by the Government and established to be also used by other research organizations. The Czech Republic has responded to the increasing importance of research infrastructures and for the purpose of showing them as one of the key elements of the national research and innovation system. The Act on the Support of Research and Development is the principal document defining the support for R&D in the Czech Republic. It defines the key forms of financing research and development, the main governmental bodies responsible for R&D and the procedural steps for their assignment and use of this type of financial aid. According to the Roadmap of Large Research Infrastructures of the Czech Republic, the basic typology of research infrastructures divides facilities into three groups: single-sited research infrastructures situated in one place, distributed research infrastructures including a larger number of capacities situated in different places, and virtual research infrastructures. From the perspective of life cycle stages, research infrastructures are classified into research infrastructures in the preparatory phase, implementation/construction phase, operation phase and decommissioning phase. All of the above types of research infrastructures can also be found in the research and innovation system of the Czech Republic. Conclusions and prospects for the development. In recent years, the research infrastructure of the EU has undergone significant development, as evidenced by the example of the Czech Republic. As for Ukraine, which is just beginning its path in this direction, an important step was the adoption of the Concept of the State Target Program for Research Infrastructures in Ukraine until 2026, as well as the approval of the Roadmap for integration of Ukraine's research and innovation system into the European Research Area.

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