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Comparing humans and AI agents

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Comparing humans and AI agents

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Insa Cabrera, J.; Dowe, DL.; España Cubillo, S.; Henánez-Lloreda, MV.; Hernández Orallo, J. (2011). Comparing humans and AI agents. En Artificial General Intelligence. Springer Verlag (Germany). 6830:122-132. https://doi.org/10.1007/978-3-642-22887-2_13

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Metadatos del ítem

Título: Comparing humans and AI agents
Autor: Insa Cabrera, Javier Dowe, David L. España Cubillo, Sergio Henánez-Lloreda, M. Victoria Hernández Orallo, José
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performed in rather specific tasks such as ...[+]
Palabras clave: Intelligence measurement , Universal intelligence , General vs specific intelligence , Reinforcement learning , IQ tests
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-642-22886-5
Fuente:
Artificial General Intelligence. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-22887-2_13
Editorial:
Springer Verlag (Germany)
Título del congreso: 4th International Conference, AGI 2011
Lugar del congreso: Mountain View, CA, USA
Fecha congreso: August 3-6, 2011
Serie: Lecture Notes in Computer Science;vol. 6830
Código del Proyecto:
info:eu-repo/grantAgreement/MICINN//TIN2009-06078-E/ES/ANYTIME UNIVERSAL INTELLIGENCE/
info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/
info:eu-repo/grantAgreement/MEC//AP2006-0232/ES/AP2006-0232/
info:eu-repo/grantAgreement/GVA//PROMETEO08%2F2008%2F051/ES/Advances on Agreement Technologies for Computational Entities (atforce)/
info:eu-repo/grantAgreement/MICINN//TIN2010-21062-C02-02/ES/SWEETLOGICS-UPV/
Agradecimientos:
We thank the anonymous reviewers for their helpful comments. We also thank José Antonio Martín H. for helping us with several issues about the RL competition, RL-Glue and reinforcement learning in general. We are also ...[+]
Tipo: Capítulo de libro

References

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