Dynamic decision-making with reflecting and learning for self-adaptive systems

Misoo Kim, Hohyeon Jeong, Eunseok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Self-adaptive systems can change their sub-goals and behaviors to achieve an ultimate goal in a changing environment. Existing approaches can be adapted in environments using pre-defined utility functions and human strategies; however, human designers cannot perfectly assume and predict all possible system environments during design time. We propose a new method of dynamic decision-making for real-time adaptive strategies through the following steps. First, we design a dynamic decision network (DDN) with environmental factors and goal model;. Second, we evaluate and predict goal satisfaction using the DDN. We further propose a dynamic reflection method that changes the model using real-time data. We applied the proposed method in Robocode and verified its effectiveness by comparing it with static decision-making.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016
EditorsHamid R. Arabnia, David de la Fuente, Roger Dziegiel, Elena B. Kozerenko, Peter M. LaMonica, Raymond A. Liuzzi, Jose A. Olivas, Todd Waskiewicz, George Jandieri, Ashu M.G. Solo, Fernando G. Tinetti
PublisherCSREA Press
Pages207-213
Number of pages7
ISBN (Electronic)1601324383, 9781601324382
StatePublished - 2016
Event2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016 - Las Vegas, United States
Duration: 25 Jul 201628 Jul 2016

Publication series

NameProceedings of the 2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016

Conference

Conference2016 International Conference on Artificial Intelligence, ICAI 2016 - WORLDCOMP 2016
Country/TerritoryUnited States
CityLas Vegas
Period25/07/1628/07/16

Keywords

  • Dynamic decision network
  • Dynamic decision-making
  • Reflection model
  • Self-adaptive system

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