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By Paul Davidsson, Jan A. Persson, Johan Holmgren (auth.), Ngoc Thanh Nguyen, Adam Grzech, Robert J. Howlett, Lakhmi C. Jain (eds.)

st This quantity includes papers chosen for presentation on the 1 KES Symposium on Agent and Multi-Agent structures – applied sciences and purposes (KES-AMSTA 2007), held in Wroclaw, Poland, may possibly 31 – June 1, 2007. The symposium used to be org- ized by means of the Institute of data technological know-how and Engineering, Wroclaw college of expertise, and KES overseas, as a part of the KES convention sequence. the purpose of the symposium was once to supply a world discussion board for clinical - seek within the applied sciences and purposes of agent and multi-agent structures. brokers and multi-agent platforms are relating to the fashionable software program which has lengthy been r- ognized as a promising know-how for developing independent, complicated and intel- gent platforms. A key improvement within the box of agent and multi-agent structures has been the specification of agent verbal exchange languages and formalization of - tologies. Agent verbal exchange languages are meant to supply regular decla- tive mechanisms for brokers to speak wisdom and make requests of one another, while ontologies are meant for conceptualization of the information - main.

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Additional resources for Agent and Multi-Agent Systems: Technologies and Applications: First KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31– June 1, 2007. Proceedings

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Agent-based services can enhance the automated and flexible decisionmaking of these services. Fig. 3. Web services-driven agent systems for EAI Building Agent Service Oriented Multi-Agent Systems 19 Figure 3 describes Web services-based agent system. In this model, client defines and submits algorithm Plugin Order via user agent. User agent finds Order Service through UDDI and Search agent. A SOAP proxy service is generated by using WSDL. This proxy service is taken as a bridge to talk to the Process Order agent service via SOAP message and a proxy service translating the message.

LabVIEW is equipped with advanced data acquisition tools and is capable of artificial intelligence methods, although it lacks agentification mechanisms. A framework is presented, providing LabVIEW the required functionality. Keywords: multiagent–based networking, producer–distributor–consumer, distributed control systems, process control, systems integration. 1 Introduction There is strong ongoing progress in the field of agent–based technologies. e. World Wide Web [1], [2]. However, process of adaptation and implementation of the original idea in automation and control science is not so successful and varies greatly depending on subject.

Adapter Gateway Adapter Fig. 1. 4 Developing Agent Service Problem-Solving Ontology Agent service problem-solving ontology specifies attributes and relationships of agent services in a problem-solving system. This involves two steps (i) Extracting problemsolving ontologies from the problem domain, (ii) Developing of agent service ontologies for detailed design based on the extracted problem-solving ontologies. Problem-solving ontologies existing in a problem domain can be extracted through the analysis and build-up of conceptual model, extended entity relationship model, or agent class diagram.

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