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Titlebook: Highlights of Spanish Astrophysics II; Proceedings of the 4 Jaime Zamorano,Javier Gorgas,Jesús Gallego Conference proceedings 2001 Springer

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E. Ros,J. C. Guirado,J. M. Marcaide,M. A. Pérez-Torres,E. E. Falco,J. A. Muñoz,A. Alberdi,L. Larassues is therefore the choice of this set, which can be formalised as a ‘distribution’. Formalising and properly defining this distribution is an important challenge to understand what intelligence is and to achieve artificial general intelligence (AGI). In this paper, we agree with previous critici
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F. J. Castander,R. C. Nichol,A. Merrellithe potential behavior of others around them. Reinforcement learning (RL) provides one method for agents to acquire knowledge about such interactions. We investigate different methods of multiagent reinforcement learning within the Sigma cognitive architecture. We leverage Sigma’s architectural mech
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C. E. García-Dabó,J. Gallego,G. Bruzual,A. Bongiovanni,P. Coppiutonomous vehicles. While it is often possible to approximate the input-output relations of deep neural networks with a few human-understandable rules, the discovery of the double descent phenomena suggests that such approximations do not accurately capture the mechanism by which deep neural network
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A. M. Pérez García,J. A. Acosta Pulido,J. M. Rodríguez-Espinosar. Tolman’s ideas on latent learning and cognitive maps eventually led to what is now known as conceptual space, a geometric representation where concepts and ideas can form points or shapes. Active navigation between ideas – reasoning – can be expressed directly as purposive navigation in conceptua
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