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Towards reactive navigation and attention skills for 3D intelligent characters
dc.contributor.author | Lozano Ibáñez, Miguel | |
dc.contributor.author | Grimaldo Moreno, Francisco | |
dc.contributor.author | Molina Vilaplana, Javier | |
dc.date.accessioned | 2009-07-03T10:13:22Z | |
dc.date.available | 2009-07-03T10:13:22Z | |
dc.date.issued | 2003-01-01 | |
dc.identifier.citation | LOZANO IBAÑEZ, Miguel; GRIMALDO MORENO, Francisco y GRIMALDO VILAPLANA, Javier. Towards reactive navigation and attention skills for 3D intelligent characters. En: International Work-Conference on Artificial and Natural Neural Networks (7ª: 2003: Menorca). Artificial Neural Nets Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003 Maó, Menorca, Spain, June 3–6, 2003. Proceedings, Part II. Menorca: Springer Berlin / Heidelberg, 2003. P. 8. ISBN 978-3-540-40211-4 | es |
dc.identifier.isbn | 978-3-540-40211-4 | |
dc.description.abstract | This paper presents a neural design which is able to provide the necessary reactive navigation and attention skills for 3D embodied agents (virtual humanoids or characters). Based on Grossberg’s neural model of conditioning [6], as recently implemented by Chang and Gaudiando [7], and according to the Adaptative Resonance Theory (ART) and the neuroscientific concepts associated, the neural design introduced has been divided in two main phases. Firstly, an environmentcategorization phase, where an on-line pattern recognition and categorization of the current agent sensory input data is carried out by a self organizing neural network, which will finally provide the agent’s short term memory layer(STM). Secondly, and based on the classical conditioning paradigm, the model will associate the interesting STM states, from the navigation or attention points of view, to finally simulate these necessary skills for 3D characters or humanoids. Finally, we will show some experimental navigational results, through the integration of the model presented in 3D virtual environments. | es |
dc.description.sponsorship | Partially supported by the GVA-project CTIDIB-2002-182 (Spain). | es |
dc.format | application/pdf | |
dc.language.iso | eng | es |
dc.publisher | Springer Berlin / Heidelberg | es |
dc.rights | The original publication is available at www.springerlink.com | |
dc.title | Towards reactive navigation and attention skills for 3D intelligent characters | es |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.subject.other | Ingeniería de Sistemas y Automática | es |
dc.subject | Diseño neuronal | es |
dc.subject | Entornos virtuales 3D | es |
dc.subject | Teoría de resonancia adaptativa | es |
dc.subject | Caracteres inteligentes en 3D | es |
dc.subject | Robótica inteligente | es |
dc.subject | Entornos virtuales inteligentes | es |
dc.subject | Neural design | es |
dc.subject | 3D virtual environments | es |
dc.subject | Adaptative Resonance Theory (ART) | es |
dc.subject | Intelligent 3D characters | es |
dc.subject | Intelligent robotics | es |
dc.subject | Intelligent virtual environments(IVE) | es |
dc.identifier.uri | http://hdl.handle.net/10317/1069 | |
dc.contributor.investgroup | Grupo de Neurotecnología, Control y Robótica. (NEUROCOR) | es |
dc.identifier.doi | 10.1007/3-540-44869-1 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess |
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