By Topic

Action primitives for bionics inspired action planning system: Abstraction layers for action planning based on psychoanalytical concepts

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Andreas Perner ; Institute of Computertechnology, Vienna University of Technology, Vienna, Austria ; Heimo Zeilinger

Action planning is important for autonomous systems since the capacity to find a solution for a particular problem determines the degree of system autonomy. When designing an action planning system for real world domains, hierarchical systems offer a promising way to split complex planning goals in clearly-arranged sub-goals. Although dividing problems into chunks depicts a performance adequate approach for planning, considerations how plan fragments are saved in memory must be made. Memory demands grow with the abstraction level of the planning system. A decision unit for autonomous agents forms the foundation for this work. An action planning system that was designed to fit the constraints of a bionically inspired information representation module is presented. Finally, the system is integrated into autonomous agents and evaluated within an artificial life simulation.

Published in:

2011 9th IEEE International Conference on Industrial Informatics

Date of Conference:

26-29 July 2011