{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T22:10:01Z","timestamp":1714169401990},"reference-count":24,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Computational Intelligence and Soft Computing"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>As part of \u201cintelligence,\u201d the \u201cawareness\u201d is the state or ability to perceive, feel, or be mindful of events, objects, or sensory patterns: in other words, to be conscious of the surrounding environment and its interactions. Inspired by early-ages human skills developments and especially by early-ages awareness maturation, the present paper accosts the robots intelligence from a different slant directing the attention to combining both \u201ccognitive\u201d and \u201cperceptual\u201d abilities. Within such a slant, the machine (robot) shrewdness is constructed on the basis of a multilevel cognitive concept attempting to handle complex artificial behaviors. The intended complex behavior is the autonomous discovering of objects by robot exploring an unknown environment: in other words, proffering the robot autonomy and awareness in and about unknown backdrop.<\/jats:p>","DOI":"10.1155\/2012\/354785","type":"journal-article","created":{"date-parts":[[2012,7,15]],"date-time":"2012-07-15T21:02:36Z","timestamp":1342386156000},"page":"1-11","source":"Crossref","is-referenced-by-count":6,"title":["Multilevel Cognitive Machine-Learning-Based Concept for Artificial Awareness: Application to Humanoid Robot Awareness Using Visual Saliency"],"prefix":"10.1155","volume":"2012","author":[{"given":"Kurosh","family":"Madani","sequence":"first","affiliation":[{"name":"Images, Signals and Intelligence Systems Laboratory (LISSI\/EA 3956) and Senart-FB Institute of Technology, University Paris-EST Cr\u00e9teil (UPEC), B\u00e2t.A, avenue Pierre Point, 77127 Lieusaint, France"}]},{"given":"Dominik 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