Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Action Selection Algorithms for Autonomous System in Pervasive Environment: A Computational Approach

Action Selection Algorithms for Autonomous System in Pervasive Environment: A Computational Approach TAA00009 ACM (Typeset by SPi, Manila, Philippines) 1 of 6 February 10, 2011 Action Selection Algorithms for Autonomous System in Pervasive Environment: A Computational Approach JAAFAR GABER, Universite de Technologie de Belfort-Montbeliard Ubiquitous and pervasive computing deals with the design of autonomous and adaptive systems and services that interact with the closest environment enhanced by context awareness and emergence functionalities. In this article, we investigate the relationships between the environment, the actions (services), and the selection algorithm that is guaranteed to take the system to a state that suits a stochastically changing environment. Making the assumption that peering relationships between potential actions can be speci ed by an af nity network, the action selection mechanism is translated into an iterative algorithm that lets each activity update its strength until it converges to a solution. In pervasive environments, where services and devices interfere with each other, the proposed action selection approach prevents unexpected and undesirable behaviors or oscillating loops in a such dynamic environment. Categories and Subject Descriptors: D.2.2 [Software Engineering]: Design Tools and Techniques; I.2.0 [Arti cial Intelligence]: General; H.4.0 [Information Systems Applications]: General General Terms: Algorithms, Design Additional Key Words and Phrases: Pervasive computing, ubiquitous computing, action http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

Action Selection Algorithms for Autonomous System in Pervasive Environment: A Computational Approach

Download PDF
6 pages

Loading next page...
 
/lp/association-for-computing-machinery/action-selection-algorithms-for-autonomous-system-in-pervasive-Gg8mkNt4A5

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Association for Computing Machinery
Copyright
Copyright © 2011 by ACM Inc.
ISSN
1556-4665
DOI
1921641.1921651
Publisher site
See Article on Publisher Site

Abstract

TAA00009 ACM (Typeset by SPi, Manila, Philippines) 1 of 6 February 10, 2011 Action Selection Algorithms for Autonomous System in Pervasive Environment: A Computational Approach JAAFAR GABER, Universite de Technologie de Belfort-Montbeliard Ubiquitous and pervasive computing deals with the design of autonomous and adaptive systems and services that interact with the closest environment enhanced by context awareness and emergence functionalities. In this article, we investigate the relationships between the environment, the actions (services), and the selection algorithm that is guaranteed to take the system to a state that suits a stochastically changing environment. Making the assumption that peering relationships between potential actions can be speci ed by an af nity network, the action selection mechanism is translated into an iterative algorithm that lets each activity update its strength until it converges to a solution. In pervasive environments, where services and devices interfere with each other, the proposed action selection approach prevents unexpected and undesirable behaviors or oscillating loops in a such dynamic environment. Categories and Subject Descriptors: D.2.2 [Software Engineering]: Design Tools and Techniques; I.2.0 [Arti cial Intelligence]: General; H.4.0 [Information Systems Applications]: General General Terms: Algorithms, Design Additional Key Words and Phrases: Pervasive computing, ubiquitous computing, action

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS) – Association for Computing Machinery

Published: Feb 1, 2011

There are no references for this article.