Planning Task
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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.
- Software Development Planning, for a software plan.
- …
- Counter-Example(s):
- See: Task Management, Temporal Reasoning, Mental Time Travel, Human Evolution, Forecasting.
References
2023
- (Wikipedia, 2023) ⇒ https://en.wikipedia.org/wiki/planning Retrieved:2023-6-1.
- Planning is the process of thinking regarding the activities required to achieve a desired goal. Planning is based on foresight, the fundamental capacity for mental time travel. The evolution of forethought, the capacity to think ahead, is considered to have been a prime mover in human evolution. Planning is a fundamental property of intelligent behavior. It involves the use of logic and imagination to visualise not only a desired end result, but the steps necessary to achieve that result.
An important aspect of planning is its relationship to forecasting. Forecasting aims to predict what the future will look like, while planning imagines what the future could look like.
Planning according to established principles is a core part of many professional occupations, particularly in fields such as management and business. Once a plan has been developed, it is possible to measure and assess progress, efficiency and effectiveness. As circumstances change, plans may need to be modified or even abandoned.
- Planning is the process of thinking regarding the activities required to achieve a desired goal. Planning is based on foresight, the fundamental capacity for mental time travel. The evolution of forethought, the capacity to think ahead, is considered to have been a prime mover in human evolution. Planning is a fundamental property of intelligent behavior. It involves the use of logic and imagination to visualise not only a desired end result, but the steps necessary to achieve that result.
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.