{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T04:04:11Z","timestamp":1777521851265,"version":"3.51.4"},"reference-count":58,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2007,6,1]],"date-time":"2007-06-01T00:00:00Z","timestamp":1180656000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adaptive Behavior"],"published-print":{"date-parts":[[2007,6]]},"abstract":"<jats:p>We motivate and present a definition of an embodied, grounded individual sensorimotor interaction history, which captures the time-extended behavior characteristics of humans and many animals. We present an architecture that connects temporally extended individual experience with capacity for action, whereby a robot can develop over ontogeny through interaction. Central to this is an information theoretic metric space of sensorimotor experience, which is dynamically constructed and reconstructed as the robot acts. We present results of robotic experiments that establish the predictive efficacy of the space and we show the robot developing the capacity to play the simple interaction game \u201cpeekaboo.\u201d A quantitative investigation of the appropriate horizon length of experience for the game reveals the relationship between the length of experience and the cycle time of interaction, and suggests the importance of multiple, and possibly self-adaptive, horizon lengths.<\/jats:p>","DOI":"10.1177\/1059712307078662","type":"journal-article","created":{"date-parts":[[2007,6,7]],"date-time":"2007-06-07T08:38:13Z","timestamp":1181205493000},"page":"167-187","source":"Crossref","is-referenced-by-count":21,"title":["Grounded Sensorimotor Interaction Histories in an Information Theoretic Metric Space for Robot Ontogeny"],"prefix":"10.1177","volume":"15","author":[{"given":"Naeem Assif","family":"Mirza","sequence":"first","affiliation":[{"name":"Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, UK"}]},{"given":"Chrystopher L.","family":"Nehaniv","sequence":"additional","affiliation":[{"name":"Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, UK,"}]},{"given":"Kerstin","family":"Dautenhahn","sequence":"additional","affiliation":[{"name":"Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, UK,"}]},{"given":"Ren\u00e9","family":"te Boekhorst","sequence":"additional","affiliation":[{"name":"Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, UK,"}]}],"member":"179","published-online":{"date-parts":[[2007,6,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44533-1_16"},{"key":"atypb2","volume-title":"Proceedings of the 2005 IEEE\/RSJ International Conference on Intelligent Robots and Systems","author":"Baillie, J.-C."},{"key":"atypb3","volume-title":"Proceedings of the 13th Yale Workshop on Adaptive and Learning Systems","author":"Barto, A.G."},{"key":"atypb4","first-page":"125","volume":"36","author":"Blank, D.","year":"2005","journal-title":"Systems"},{"key":"atypb5","volume-title":"Proceedings of the 5th International Conference on Development and Learning (ICDL 2006)","author":"Bonarini, A."},{"key":"atypb6","volume-title":"Vehicles: experiments in synthetic psychology","author":"Braitenberg, V.","year":"1984"},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1145\/1027154.1027171"},{"key":"atypb8","unstructured":"Bruner, J.S. & Sherwood, V. (1975). Peekaboo and the learning of rule structures. In J. S. Bruner, A. Jolly, & K. Sylva (Eds.), Play: Its role in development and evolution, (pp. 277\u2014285). New York: Penguin."},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(91)90102-P"},{"key":"atypb10","volume-title":"Situated cognition: On human knowledge and computer representations. Learning in doing: Cognitive and computational perspectives","author":"Clancey, W.J.","year":"1997"},{"key":"atypb11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-3440-1_12"},{"key":"atypb12","unstructured":"Dautenhahn, K. (1996). Embodied cognition in animals and artifacts. In Proceedings of AAAI FS Embodied Cognition and Action, (pp. 27\u201432). Technical report FS-96-02. Menlo Park, CA: AAAI Press ."},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1007\/b116424"},{"key":"atypb14","doi-asserted-by":"crossref","unstructured":"Dautenhahn, K. & Christaller, T. (1996). 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