1431 search results - page 22 / 287 » Planning for Welfare to Work |
AIPS
1996
14 years 11 months ago
1996
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
AGENTS
1999
Springer
15 years 1 months ago
1999
Springer
We describe the interface between a real-time resource allocation system with an AI planner in order to create fault-tolerant plans that are guaranteed to execute in hard real-tim...
KR
2010
Springer
15 years 2 months ago
2010
Springer
A plan with rich control structures like branches and loops can usually serve as a general solution that solves multiple planning instances in a domain. However, the correctness o...
75
Voted
ECP
1997
Springer
15 years 1 months ago
1997
Springer
It is traditional wisdom that one should start from the goals when generating a plan in order to focus the plan generation process on potentially relevant actions. The graphplan sy...
73
Voted
AAAI
2008
14 years 12 months ago
2008
This paper addresses the problem of plan recognition for multi-agent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. ...