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Such a model is expected to lead to self-explanatory decision making, which is essential for understanding and influencing the behavior of autonomous agents and to pave the way to generate desirable macro-level behavior in self-adaptive, self-organizing systems. This article introduces an adaptive decision making architecture for agent-based simulation by promoting deliberative coherence and its extensions for decision making under uncertainty. To this end, a deliberative coherence-driven agent model is presented, and then is extended with run-time monitoring mechanisms. The architecture enables us to evaluate goals and competing tasks to facilitate the selection of the most coherent tasks with respect to a given goal, whereas the successful completion of those tasks contributes to the achievement of mission objectives for systems in shifting, ill-defined, and uncertain environments.<\/jats:p>","DOI":"10.1177\/0037549714536930","type":"journal-article","created":{"date-parts":[[2014,6,30]],"date-time":"2014-06-30T15:06:26Z","timestamp":1404140786000},"page":"815-832","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":13,"title":["Adaptive decision making in agent-based simulation"],"prefix":"10.1177","volume":"90","author":[{"given":"Okan","family":"Top\u00e7u","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Naval Science and Engineering Institute, Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,6,30]]},"reference":[{"key":"e_1_3_5_2_2","volume-title":"I, Robot","author":"Proyas A","year":"2004","unstructured":"Proyas A Director. 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