Mathematical modeling of cognitive processes with applications in neuroscience and robotics
Evolution has shaped living beings equipping them with a set of cognitive abilities to perceive the external world in an abstract way, in order to survive in their specific environments and hence perpetuate the species. In particular, the nervous system and, ultimately, the brain have been developed...
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| Tipo de recurso: | tesis doctoral |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | español |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/11056 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/11056 |
| Access Level: | acceso abierto |
| Palabra clave: | 004.8(043.2) Inteligencia artificial Artificial intelligence Inteligencia artificial (Informática) 1203.04 Inteligencia Artificial |
| Sumario: | Evolution has shaped living beings equipping them with a set of cognitive abilities to perceive the external world in an abstract way, in order to survive in their specific environments and hence perpetuate the species. In particular, the nervous system and, ultimately, the brain have been developed to provide animals and humans with the capability of interacting with complex time-changing environments by allowing them to make sophisticated decisions in real time. This ability is paramount for survival but, paradoxically, the neural mechanisms and functional processes supporting it are poorly understood. This thesis proposes the mathematical modeling of essential cognitive mechanisms that allow an individual to understand different time-changing situations to interact with them in an optimal, versatile, and robust way. Following a bottom-up approach, the content of the presentwork pursues two main aims. First, we deal with the issue of Imitation, a preeminent form of learning commonly used by children and adults, and also observed in many species. It enables the transfer of information between down generations without the need for geneticin heritance... |
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