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008			220126s2022 sz | s |||| 0|eng d
020			_a9783030858216
024	7		_a10.1007/978-3-030-85821-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ212-225 _b2022 EB
245	0	0	_aMental Models and Their Dynamics, Adaptation, and Control : _bA Self-Modeling Network Modeling Approach _cedited by Jan Treur, Laila Van Ments
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 616 páginas) _b240 ilustraciones, 228 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4190 _v394
505	0		_aDynamics, Adaptation and Control for Mental Models: A Cognitive Architecture -- Bringing Networks to the Next Level: Self-Modeling Networks for Adaptivity and Control of Mental Models -- On Becoming a Good Driver: Modeling the Learning of a Mental Model -- Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models -- Disturbed by Flashbacks: a Controlled Adaptive Network Model Addressing Mental Models for Flashbacks from PTSD.
520			_aThis book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.
988			_aSpringer_Robotics_2022
650		7	_2embne _9672414 _aMetaconocimiento
650		7	_2embne _aSimulación por ordenador _9147541
650		7	_2embne _9160578 _aMapas conceptuales
700	1		_aTreur, Jan _eeditor literario _0(orcid)0000-0003-2466-9158 _1https://orcid.org/0000-0003-2466-9158 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVan Ments, Laila _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030858209
776	0	8	_iPrinted edition: _z9783030858223
776	0	8	_iPrinted edition: _z9783030858230
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-85821-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _esc _zSI