Utility-based self-adaption with environment specific quality models

Camilo Fitzgerald*, Benjamin Klöpper, Shinichi Honiden

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


In order to adjust to changing environments and internal states, self-adaptive systems are enabled to autonomously adjust their behaviour. The motive is to achieve better performance while minimising human effort in setting up and maintaining these systems. Ensuring correct functionality across a system's lifetime has been largely addressed. Optimisation of their performance, however, has received little attention. This paper presents an approach that applies goal modelling and decision making theory to calculate the quality of a system's performance in terms of a given configuration's utility with respect to its current environment. Thereby functionally valid configurations can be evaluated within the self-adaptive loop. The approach increased human players' performances in experiments based on a computer game. These results suggests that utility modelling is a promising approach for optimising the quality of behaviour in self-adaptive system.

Original languageEnglish
Title of host publicationAdaptive and Intelligent Systems - Second International Conference, ICAIS 2011, Proceedings
Number of pages12
Publication statusPublished - 2011 Oct 4
Externally publishedYes
Event2nd International Conference on Adaptive and Intelligent Systems, ICAIS 2011 - Klagenfurt, Austria
Duration: 2011 Sept 62011 Sept 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6943 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Conference on Adaptive and Intelligent Systems, ICAIS 2011


  • Decision Analysis
  • Goal Modelling
  • Self-adaptive Systems
  • Utility Theory

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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