Recent action selection architectures rely on planning, reaction, or both, ignoring the much wider spectrum actually available. This paper recasts the action selection problem in terms of projection, commitment, and abstraction. 1 Introduction The problem of action selection, selecting appropriate actions to perform in a given situation, has received a great deal of attention in AI. Much of the recent discussion about action selection has concerned the distinction between "planning" and "reaction," terms with which few researchers have been entirely happy. While there is broad consensus that planning and reaction are two points on a spectrum rather than opposing sides of a dichotomy, we believe that the use of these ter...
This paper is a first attempt towards a theory of actions for reactive planning systems, i.e. system...
The selection of what to do next is often the hardest part of resource-limited problem solving. In p...
In a recent position paper in Artificial Intelligence, we argued that the automated planning researc...
The selection of the action to do next is one of the central problems faced by autonomous agents. Na...
The selection of the action to do next is one of the central problems faced by autonomous agents. I...
Abstract. We describe notions that are useful for building planners whose reasoning about action mat...
This paper presents a novel approach to the problem of action selection for an autonomous agent. A...
Rather than committing to a particular future course of events, reaction plans prescribe reactions t...
The principle of least commitment was embraced early in planning research. Hierarchical task network...
In this paper, I examine an evolutionary approach to the action selection problem and illustrate how...
ion for Decision-Theoretic Planning AnHai Doan and Peter Haddawy Department of EE & CS Unive...
The approaches to make an agent generate intelligent actions in the AI field might be roughly catego...
Traditional AI planning systems have focussed on batch planning, where an entire plan for achieving ...
Since it was first pointed out by McCarthy and Hayes [1] that the frame problem was an obstacle to t...
It is argued that for real-world applications action selection should be satisficing, i.e. merely `g...
This paper is a first attempt towards a theory of actions for reactive planning systems, i.e. system...
The selection of what to do next is often the hardest part of resource-limited problem solving. In p...
In a recent position paper in Artificial Intelligence, we argued that the automated planning researc...
The selection of the action to do next is one of the central problems faced by autonomous agents. Na...
The selection of the action to do next is one of the central problems faced by autonomous agents. I...
Abstract. We describe notions that are useful for building planners whose reasoning about action mat...
This paper presents a novel approach to the problem of action selection for an autonomous agent. A...
Rather than committing to a particular future course of events, reaction plans prescribe reactions t...
The principle of least commitment was embraced early in planning research. Hierarchical task network...
In this paper, I examine an evolutionary approach to the action selection problem and illustrate how...
ion for Decision-Theoretic Planning AnHai Doan and Peter Haddawy Department of EE & CS Unive...
The approaches to make an agent generate intelligent actions in the AI field might be roughly catego...
Traditional AI planning systems have focussed on batch planning, where an entire plan for achieving ...
Since it was first pointed out by McCarthy and Hayes [1] that the frame problem was an obstacle to t...
It is argued that for real-world applications action selection should be satisficing, i.e. merely `g...
This paper is a first attempt towards a theory of actions for reactive planning systems, i.e. system...
The selection of what to do next is often the hardest part of resource-limited problem solving. In p...
In a recent position paper in Artificial Intelligence, we argued that the automated planning researc...