Add FAIRK1 planning

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\input{sections/_local_search.tex}
\input{sections/_swarm_intelligence.tex}
\input{sections/_games.tex}
\input{sections/_planning.tex}
\end{document}

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\chapter{Automated planning}
\begin{description}
\item[Automated planning] \marginnote{Automated planning}
Given:
\begin{itemize}
\item An initial state.
\item A set of actions an agent can perform (operators).
\item The goal to achieve.
\end{itemize}
Automated planning finds a partially or totally ordered set of actions
that leads an agent from the initial state to the goal.
\item[Domain theory] \marginnote{Domain theory}
Formal description of the executable actions.
Each action has a name, pre-conditions and post-conditions.
\begin{descriptionlist}
\item[Pre-conditions]
Conditions that must hold for the action to be executable.
\item[Post-conditions]
Effects of the action.
\end{descriptionlist}
\item[Planner] \marginnote{Planner}
Process to decide the actions that solve a planning problem.
In this phase, actions are considered:
\begin{description}
\item[Non decomposable]
An action is atomic (it starts and finishes).
Actions interact with each other by reaching sub-goals.
\item[Reversible]
Choices are backtrackable.
\end{description}
A planner can have the following properties:
\begin{descriptionlist}
\item[Correctness] \marginnote{Correct planner}
The planner always finds a solution that leads from the initial state to the goal.
\item[Completeness] \marginnote{Complete planner}
The planner always finds a plan when it exits (planning is semi-decidable).
\end{descriptionlist}
\item[Execution] \marginnote{Execution}
The execution is the implementation of a plan.
In this phase, actions are:
\begin{descriptionlist}
\item[Irreversible]
An action that has been executed cannot (usually) be backtracked.
\item[Non deterministic]
An action applied to the real world may have unexpected effects due to uncertainty.
\end{descriptionlist}
\end{description}
\section{Generative planning}
\begin{description}
\item[Generative planning] \marginnote{Generative planning}
Offline planning that creates the entire plan before execution based on
a snapshot of the current state of the world.
It relies on the following assumptions:
\begin{descriptionlist}
\item[Atomic time]
Actions cannot be interrupted.
\item[Determinism]
Actions are deterministic.
\item[Closed world]
The initial state is fully known,
what is not in the initial state is considered false (which is different from unknown).
\item[No interference] Only the execution of the plan changes the state of the world.
\end{descriptionlist}
\end{description}
\subsection{Linear planning}
\marginnote{Linear planning}
Formulates the planning problem as a search problem where:
\begin{itemize}
\item Nodes contain the state of the world.
\item Edges represent possible actions.
\end{itemize}
Produces a totally ordered list of actions.
The direction of the search can be:
\begin{descriptionlist}
\item[Forward]
Starting from the initial state, the search terminates when a state containing a superset of the goal is reached.
\item[Backward]
Starting from the goal, the search terminates when a state containing a subset of the initial state is reached.
\end{descriptionlist}