1. David W. Aha Navy Center for Applied Research in AI Naval Research Laboratory Co-chairs Gheorghe Tecuci Learning Agents Center George Mason University

2. Previous Workshops on Mixed-Initiative AAAI'99 Workshop on Mixed-Initiative Intelligence ECCBR'02 Workshop on Mixed-Initiative CBR ICCBR'03 Workshop on Mixed-Initiative CBR IJCAI'03 Workshop on Mixed-Initiative Intelligent Systems ICAPS'05 Workshop on Mixed-Initiative Planning and Scheduling

3. Math and Photos 32 Participants26 Papers 1 Panel Discussion

4. What Are They? Mixed-Initiative Interaction Problem Solving Assistant Eric Horvitz “I shall use the phrase to refer broadly to methods that explicitly support an efficient, natural interleaving of contributions by users and automated services aimed at converging on solutions to problems”. Has Expert Knowledge in a Domain Helps the user in solving problems

5. © 2000 David Deckert

6. What is needed Mixed Initiative Problem Solving Assistant Intelligent User Interfaces Learning Discourse Theory Problem Solving Knowledge Representation Multi-Agent Systems

7. communicate interact observe plan tree focus stack COLLAGEN discourse model beliefs intentions desires first-principles planning discourse interpretation plan recognition problem solving model COLLAGEN (Rich, Sidner, et al.)

8. Dialogue-based Systems (Ferguson & Allen) BDI Agent

9. ISY-travel (Viappiani, Faltings et al. ) Minerva & Genoma (Wilkins & Fried) GE Call Center for Diagnosis (Cheetham) CMRadar (Modi et al.) CALO Disciple (Tecuci, Boicu et al.)

10. Task model Belief model Plan recognition Multi-agent multi-human interaction When to show initiative User awareness Evaluation methodology Challenges