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A cognitive architecture defines information flow among units to produce emergent intelligent behavior. Despite the improvements in autonomous decision-making, several key issues remain open. One of these issues is the selection, coordination, and decision-making related to the several specialized tasks required for fulfilling mission objectives. This work addresses decision-making for the cognitive unmanned-aerial-vehicle architecture coined as ARCog. The proposed architecture lays the groundwork for the development of a software platform aligned with the requirements of the state-of-the-art technology in the field. The system is designed to provide high-level decision-making. Experiments prove that ARCog works correctly in its target scenario.<\/jats:p>","DOI":"10.1017\/s0263574720000521","type":"journal-article","created":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T07:01:27Z","timestamp":1594882887000},"page":"483-502","source":"Crossref","is-referenced-by-count":30,"title":["ARCog: An Aerial Robotics Cognitive Architecture"],"prefix":"10.1017","volume":"39","author":[{"given":"Milena F.","family":"Pinto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonardo M.","family":"Hon\u00f3rio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9171-3089","authenticated-orcid":false,"given":"Andre L. M.","family":"Marcato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario A. 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