Download From Animals to Animats 13: 13th International Conference on by Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, PDF

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By Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales

This booklet constitutes the lawsuits of the thirteenth overseas convention on Simulation of Adaptive habit, SAB 2014, held in Castellón, Spain, in July 2014. The 32 papers offered during this quantity have been conscientiously reviewed and chosen for inclusion within the court cases. They hide the most components in animat study, together with the animat strategy and technique, conception and motor regulate, navigation and inner global versions, studying and variation, evolution and collective and social behavior.

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Read Online or Download From Animals to Animats 13: 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings PDF

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Additional resources for From Animals to Animats 13: 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings

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Self-organized neural representation of time. M. ) ICONIP 2013. LNCS, vol. 8226, pp. 74–81. Springer, Heidelberg (2013) 7. : The Structure of Time. Language, meaning and temporal cognition. John Benjamins Publishing Company, Amsterdam (2004) 8. : The feeling of what happens: Body and emotion in the making of consciousness. Vintage, London (2000) 9. : Are animals stuck in time? Psychological Bulletin 128(3), 473–489 (2002) 10. : The comparative study of mental time travel. Trends in Cognitive Science 13(6), 271–277 (2009) 11.

In practice, we found that it may even be replaced by the identity matrix (which is not done here). For the derivation and more details we refer to [12]. 4 Experiments Several experiments have been conducted applying the Pimax algorithm to the Stumpy robot. Note that the behavior can only emerge through the connection of sensors and motors via (Eq 3). This connection, however, is constantly changing during exploration to locally maximize the TiPI. This results in an intricate interplay between physical dynamics and parameter dynamics.

18 M. Maniadakis and P. Trahanias References 1. : Evolving Robots Able To Integrate Sensory-Motor Information Over Time. Theory in Biosciences 120, 1–24 (2001) 2. : Adaptability and Diversity in Simulated Turn-taking Behavior. Artificial Life 10, 361–378 (2004) 3. : Explorations on artificial time perception. Neural Networks 22, 509–517 (2009) 4. : Time experiencing by robotic agents. In: Proc. 11th European Symposium on Artificial Neural Networks, pp. 429–434 (2011) 5. : Experiencing and processing time with neural networks.

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