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EPIA
1997
Springer
13 years 9 months ago
Controlling for Unexpected Goals when Planning in a Mixed-Initiative Setting
dimension of abstraction and specificity, and they may mix both top-level goals and subgoals when describing what they want a plan to do. We show how the Prodigy planning system h...
Michael T. Cox, Manuela M. Veloso
AAAI
1990
13 years 5 months ago
Anytime Synthetic Projection: Maximizing the Probability of Goal Satisfaction
This paper presents a projection algorithm for incremental control rule synthesis. The algorithm synthesizes an initial set of goal-achieving control rules using a combination of ...
Mark Drummond, John L. Bresina
ICTAI
2005
IEEE
13 years 10 months ago
Subgoal Ordering and Granularity Control for Incremental Planning
In this paper, we study strategies in incremental planning for ordering and grouping subproblems partitioned by the subgoals of a planning problem when each subproblem is solved b...
Chih-Wei Hsu, Yixin Chen
JIRS
2000
144views more  JIRS 2000»
13 years 4 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 5 months ago
Evolutionary path planner for UAVs in realistic environments
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the a...
Jesús Manuel de la Cruz, Eva Besada-Portas,...