基本信息
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个人简介
Research areas and application domains:
Since 1999, the I2S research team performs application-oriented research and
development of intelligent information systems in the Internet and Web. Main focus is
on the application of Artificial Intelligence (AI), Agent Technologies, Service-Oriented
Computing, and Semantic Web Technologies for innovative means of intelligent service
coordination and decision-making in smart information systems.
Research of the I2S team on intelligent service coordination addresses the challenges of
scalable, flexible, situatively optimal and high-performance semantic service discovery,
composition planning and execution by intelligent agents in dynamic and distributed
environments. In case of contested or chargeable data and services, the agents may also
have to enter rational and trusted negotiations (bargaining, coalition formation,
auctions) in order to resolve the conflicting goals with maximized individual or social
welfare of the respective multi-agent system. Research of the I2S team on intelligent
decision-making currently focuses on trustworthy, hybrid AI methods that integrate
machine learning, reasoning and planning for autonomous systems, and hybrid
Quantum AI methods.
Applications. The research results of the I2S team are implemented in a wide range of
free open-source and partly awarded tools and benchmarks for semantic service
coordination and data analysis, as well as in prototypes of intelligent information
systems for various application sectors. So far, these sectors are as follows.
Since 1999, the I2S research team performs application-oriented research and
development of intelligent information systems in the Internet and Web. Main focus is
on the application of Artificial Intelligence (AI), Agent Technologies, Service-Oriented
Computing, and Semantic Web Technologies for innovative means of intelligent service
coordination and decision-making in smart information systems.
Research of the I2S team on intelligent service coordination addresses the challenges of
scalable, flexible, situatively optimal and high-performance semantic service discovery,
composition planning and execution by intelligent agents in dynamic and distributed
environments. In case of contested or chargeable data and services, the agents may also
have to enter rational and trusted negotiations (bargaining, coalition formation,
auctions) in order to resolve the conflicting goals with maximized individual or social
welfare of the respective multi-agent system. Research of the I2S team on intelligent
decision-making currently focuses on trustworthy, hybrid AI methods that integrate
machine learning, reasoning and planning for autonomous systems, and hybrid
Quantum AI methods.
Applications. The research results of the I2S team are implemented in a wide range of
free open-source and partly awarded tools and benchmarks for semantic service
coordination and data analysis, as well as in prototypes of intelligent information
systems for various application sectors. So far, these sectors are as follows.
研究兴趣
论文共 257 篇作者统计合作学者相似作者
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André Antakli, Akbar Kazimov,Daniel Spieldenner, Gloria Elena Jaramillo Rojas,Ingo Zinnikus,Matthias Klusch
PAAMSpp.15-27, (2023)
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CoRR (2023)
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CoRR (2023)
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LOD (2) (2022): 341-356
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