Future global information networks are often described as rich collaborative environments in which intelligent automated services enable enterprises to dynamically discover, interact and do business with each other. To be competitive in the new "e-economy" it is vital that researchers and industry alike are able to exploit emerging technologies that will form the basis of tomorrow's global information networks and act as the worldwide infrastructure for automated commerce. Multi-agents (MA) systems are types of distributed systems which consist of autonomous agents, which routinely use rich social interaction with other agents to complete tasks they have been assigned. Appling intelligent agents or multi-agent systems in e-commerce can be considered as multi-agent based e-commerce, which has been among the most rapidly growing areas of research and development in information technology in the last few years. The underlying objective of the thesis is build a new adaptive trust and reputation model for multiagents negotiation for e-contracting in order to reduce uncertainty about different agents dealing with each other in e-commerce environment.
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Dr Dalia Magdi lecturer of Computers & Inf. Systems, Sadat Academy for Management sciences, Cairo, Egypt. Now I work as Head of information system department and Co-director of CRI research lab at the French University in Egypt. This book is the thesis submitted to fulfill the requirements of the Fellowship Degree of Management Information system.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Future global information networks are often described as rich collaborative environments in which intelligent automated services enable enterprises to dynamically discover, interact and do business with each other. To be competitive in the new 'e-economy' it is vital that researchers and industry alike are able to exploit emerging technologies that will form the basis of tomorrow's global information networks and act as the worldwide infrastructure for automated commerce. Multi-agents (MA) systems are types of distributed systems which consist of autonomous agents, which routinely use rich social interaction with other agents to complete tasks they have been assigned. Appling intelligent agents or multi-agent systems in e-commerce can be considered as multi-agent based e-commerce, which has been among the most rapidly growing areas of research and development in information technology in the last few years. The underlying objective of the thesis is build a new adaptive trust and reputation model for multiagents negotiation for e-contracting in order to reduce uncertainty about different agents dealing with each other in e-commerce environment. 248 pp. Englisch. Bestandsnummer des Verkäufers 9783659960093
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Magdi DaliaDr Dalia Magdi lecturer of Computers & Inf. Systems, Sadat Academy for Management sciences, Cairo, Egypt. Now I work as Head of information system department and Co-director of CRI research lab at the French University in . Bestandsnummer des Verkäufers 158964031
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Taschenbuch. Zustand: Neu. A Proposed Enhanced Model for Adaptive Multi-agent Negotiation | Dalia Magdi | Taschenbuch | 248 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659960093 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 102599378
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Future global information networks are often described as rich collaborative environments in which intelligent automated services enable enterprises to dynamically discover, interact and do business with each other. To be competitive in the new 'e-economy' it is vital that researchers and industry alike are able to exploit emerging technologies that will form the basis of tomorrow's global information networks and act as the worldwide infrastructure for automated commerce. Multi-agents (MA) systems are types of distributed systems which consist of autonomous agents, which routinely use rich social interaction with other agents to complete tasks they have been assigned. Appling intelligent agents or multi-agent systems in e-commerce can be considered as multi-agent based e-commerce, which has been among the most rapidly growing areas of research and development in information technology in the last few years. The underlying objective of the thesis is build a new adaptive trust and reputation model for multiagents negotiation for e-contracting in order to reduce uncertainty about different agents dealing with each other in e-commerce environment.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 248 pp. Englisch. Bestandsnummer des Verkäufers 9783659960093
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Future global information networks are often described as rich collaborative environments in which intelligent automated services enable enterprises to dynamically discover, interact and do business with each other. To be competitive in the new 'e-economy' it is vital that researchers and industry alike are able to exploit emerging technologies that will form the basis of tomorrow's global information networks and act as the worldwide infrastructure for automated commerce. Multi-agents (MA) systems are types of distributed systems which consist of autonomous agents, which routinely use rich social interaction with other agents to complete tasks they have been assigned. Appling intelligent agents or multi-agent systems in e-commerce can be considered as multi-agent based e-commerce, which has been among the most rapidly growing areas of research and development in information technology in the last few years. The underlying objective of the thesis is build a new adaptive trust and reputation model for multiagents negotiation for e-contracting in order to reduce uncertainty about different agents dealing with each other in e-commerce environment. Bestandsnummer des Verkäufers 9783659960093
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