Article/Publication Details

Action Models and Their Induction

(Original title: Action Models and Their Induction)
Organon F, 2013, vol. 20, Supplementary Issue 2, pp. 206-215.
File to download: PDF*
BibTex EndNote Tagged EndNote XML RIS

Document Statistics:

Number of visits: 1,406
Number of visits today: 0
Last visit: 03.08.2020 - 20:47
PDF downloads: 443

Abstract

Abstract: By action model, we understand any logic-based representation of effects and executability preconditions of individual actions within a certain domain. In the context of artificial intelligence, such models are necessary for planning and goal-oriented automated behaviour. Currently, action models are commonly hand-written by domain experts in advance. However, since this process is often difficult, time-consuming, and error-prone, it makes sense to let agents learn the effects and conditions of actions from their own observations. Even though the research in the area of action learning, as a certain kind of inductive reasoning, is relatively young, there already exist several distinctive action learning methods. We will try to identify the collection of the most important properties of these methods, or challenges that they are trying to overcome, and briefly outline their impact on practical applications.

Keywords

Action model, artificial intelligence, learning, planning

*The article is subject to copyright.