david w. aha navy center for applied research in ai naval research laboratory co-chairs gheorghe...
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David W. AhaNavy Center for Applied Research in AI
Naval Research Laboratory
Co-chairs
Gheorghe TecuciLearning Agents Center
George Mason University
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
Math and Photos
32 Participants26 Papers
1 Panel Discussion
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
© 2000 David Deckert Competence
Inte
ract
ion
stupid intelligent
lazy
active
What is needed
Mixed InitiativeProblem Solving Assistant
IntelligentUser Interfaces
Learning
DiscourseTheory
ProblemSolving
KnowledgeRepresentation
Multi-AgentSystems
communicate
interactinteract
observe observe
plan tree
focus stack
COLLAGEN
discourse model
beliefs
intentions
desiresfirst-principles planning
discourse interpretation
plan recognition
problem solving model
COLLAGEN (Rich, Sidner, et al.)
Dialogue-based Systems (Ferguson & Allen)
BeliefsDesiresIntentions
BeliefsDesiresIntentions What to do?What to do?
ExecuteExecuteObserveObserve
BDI Agent
ISY-travel(Viappiani, Faltings et al. )
Minerva & Genoma(Wilkins & Fried)
GE Call Center for Diagnosis(Cheetham)
CMRadar(Modi et al.)
CALODisciple
(Tecuci, Boicu et al.)
• Task model
• Belief model
• Plan recognition
• Multi-agent multi-human interaction
• When to show initiative
• User awareness
• Evaluation methodology
Challenges
top related