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008			230325s2016 sz | s |||| 0|eng d
020			_a9783031025860
024	7		_a10.1007/978-3-031-02586-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.C65 _b2016 EB
100	1		_aKapadia, Mubbasir, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687575 _d1985-
245	1	0	_aVirtual Crowds : _bSteps Toward Behavioral Realism _cby Mubbasir Kapadia, Nuria Pelechano, Jan Allbeck, Norm Badler
250			_a1st edition 2016
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XXI, 248 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Visual Computing: Computer Graphics Animation Computational Photography and Imaging _x2469-4223
505	0		_aPreface -- Acknowledgments -- Introduction -- Background -- Footstep-based Navigation and Animation for Crowds -- Following Footstep Trajectories in Real Time -- Context-sensitive Data-driven Crowd Simulation -- Conclusion -- Background -- Navigation Meshes -- Multi-domain Planning in Dynamic Environments -- Conclusion -- Background -- Sound Propagation and Perception for Autonomous Agents -- Multi-sense Attention for Autonomous Agents -- Semantics in Virtual Environments -- Conclusion -- Background -- Parameterized Memory Models -- Individual Differences -- Conclusion -- Background -- An Open Source Platform for Authoring Functional Crowds -- Event-centric Planning for Narrative Synthesis -- Conclusion -- Epilogue -- Bibliography -- Authors' Biographies .
520			_aThis volume presents novel computational models for representing digital humans and their interactions with other virtual characters and meaningful environments. In this context, we describe efficient algorithms to animate, control, and author human-like agents having their own set of unique capabilities, personalities, and desires. We begin with the lowest level of footstep determination to steer agents in collision-free paths. Steering choices are controlled by navigation in complex environments, including multi-domain planning with dynamically changing situations. Virtual agents are given perceptual capabilities analogous to those of real people, including sound perception, multi-sense attention, and understanding of environment semantics which affect their behavior choices. The roles and impacts of individual attributes, such as memory and personality are explored. The animation challenges of integrating a number of simultaneous behavior and movement demands on an agent are addressed through an open source software system. Finally, the creation of stories and narratives with groups of agents subject to planning and environmental constraints culminates the presentation.
988			_aSynthesis Collection of Technology_2016
650		7	_2embne _9160930 _aAgentes inteligentes (Programas de ordenador)
700	1		_aPelechano, Nuria _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687576
700	1		_aAllbeck, Jan M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687577
700	1		_aBadler, Norman I. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687578
776	0	8	_iPrinted edition: _z9783031014581
776	0	8	_iPrinted edition: _z9783031037146
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02586-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eIG _zSI