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MAPLE Research Overview

Join us at the first annual MAPLE Research Colloquium to explore integrated AI, mixed-initiative systems, lifelong learning, and more in multi-agent systems. Discover the future directions in robot learning, adaptive abstraction methods, and intelligent user interfaces.

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MAPLE Research Overview

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  1. MAPLE Research Overview Marie desJardins (mariedj@cs.umbc.edu) First Annual MAPLE Research Colloquium 31 May 2002

  2. MAPLE • MAPLE = Multi-Agent Planning and Learning • Themes: • Integrated AI: Planning, learning, and interaction with other agents (human and machine) • Mixed-initiative (interactive) AI systems • Incorporating and modeling different types of knowledge • Abstractions, qualitative models, background knowledge… • Lifelong systems, embedded in real-world environments

  3. Multi-agent systems • Communication: Responsiveness and sensitivity to the nature and availability of communication within agent teams • Dynamic organization: Effects of different organizational structures on MAS performance; methods for finding good structures (Sowmya) Sohel Matt (Nitin)

  4. Planning • User interaction: Reasoning about user interactions; visualizing plans; interactive planning methods • Incremental, interactive scheduling: Modeling costs of user interactions • Hybrid architectures: Integrating deliberative and reactive methods through the user of abstract representations; learning at multiple abstraction levels Chad Suryakant Priyang Mithun (Csaba) (Tim Oates)

  5. Learning • Clustering applied to image processing and information retrieval • Visualizing learned models • Adaptation in information retrieval and web searching • Interactive and lifelong learning: Incorporating background knowledge, learning new concepts and abstractions Xuanxuan (Charles Nicholas) (Penny Rheingans) Qianjun (Akshay) Lise Getoor (UMCP)

  6. Future directions • Robot learning • Incorporating qualitative models in learning • Adaptive abstraction methods • Bioinformatics?? • Visualization and user interfaces for understanding large constraint problems?? • Intelligent user interfaces?? • Or…????

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