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Título del libro: Law And Neuroscience: Current Legal Issues
Título del capítulo: Steps toward a Constructivist and Coherentist Theory of Judicial Reasoning in Civil Law Tradition

Autores UNAM:
ENRIQUE CACERES NIETO;
Autores externos:

Idioma:
Inglés
Año de publicación:
2011
Palabras clave:

Artificial intelligence; Judicial reasoning; Legal epistemology; Neural networks; Philosophy of law


Resumen:

This chapter presents a theoretical model of judicial reasoning that satisfactorily integrates partially provided explanations by three different theoretical research paradigms: philosophy of law, legal epistemology, and artificial intelligence and law. The model emerges from the application of knowledge elicitation and knowledge representation methods, and uses the theory of neural networks as a theoretical metaphor to generate explanations and visual representations. The epistemological status of the model is of constructivist stripe: it is in line with the contemporary research tendencies within cognitive psychology that propose that judicial reasoning may be better understood if a coherentist and a connectionist approach is taken. © Oxford University Press, 2011. All rights reserved.


Entidades citadas de la UNAM: