Planning Task
(Redirected from planning)
A Planning Task is a modeling task that requires a plan.
- Context:
- It can range from being a Manual Planning Task to being an Automated Planning Task.
- It can range from being a Planning Under Certainty Task to being a Planning Under Uncertainty Task.
- It can range from being a Discrete Planning Task to being a Continuous Planning Task.
- It can be solved by a Planning System (that follows a planning algorithm).
- Example(s):
- Project Planning, for a project plan.
- Budget Planning, for a budget plan.
- …
- Counter-Example(s):
- See: Task Management, Temporal Reasoning.
References
2006
- (LaValle, 2006) ⇒ Steven M. LaValle. (2006). “Planning Algorithms." Cambridge University Press. ISBN:0521862051
- QUOTE: This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning under uncertainty, sensor-based planning, visibility, decision-theoretic planning, game theory, information spaces, reinforcement learning, nonlinear systems, trajectory planning, nonholonomic planning, and kinodynamic planning.
2000
- (Hauskrecht, 2000) ⇒ Milos Hauskrecht. (2000). “Value-function Approximations for Partially Observable Markov Decision Processes.” In: Journal of Artificial Intelligence Research, 13(1).
- QUOTE: Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in which states of the system are observable only indirectly, via a set of imperfect or noisy observations.
