1. MAPLE Research Overview
Marie desJardins
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
5/31/02

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)
5/31/02

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)
5/31/02

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)
5/31/02

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…????
5/31/02