By Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales
This booklet constitutes the court cases of the thirteenth overseas convention on Simulation of Adaptive habit, SAB 2014, held in Castellón, Spain, in July 2014. The 32 papers provided during this quantity have been conscientiously reviewed and chosen for inclusion within the lawsuits. They hide the most components in animat learn, together with the animat process and technique, conception and motor regulate, navigation and inner global types, studying and variation, evolution and collective and social behavior.
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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Extra info for From Animals to Animats 13: 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings
968, italics added) It is clear that “mastery” is supposed to refer to the “accommodation” of certain regularities in the environment, and attunement to the exploitation of these regularities. But “accommodation” in this context does not necessarily mean that the contingent aspects of the environmental regularities are stored internally by the agent, but simply that the agent has undergone some changes such that whenever the regularities present themselves in a new situation, the agent is able to re-enact sensorimotor engagements that have previously been adequate in similar sensorimotor situations.
32–42, 2014. c Springer International Publishing Switzerland 2014 Self-exploration of Stumpy with Pimax 33 applied to a real robot, more speciﬁcally to the robot Stumpy . Predictive information is the past-future mutual information and measures how much information (in Shannon sense) can be used from the past of a time-series to predict the future. It is diﬀerent from the bare prediction quality as it also requires the information content itself to be high. , doing nothing in a dark room is best predictable.
During the swinging and high motions, Self-exploration of Stumpy with Pimax high rocking, slow locomotion 39 swinging, moving in place Fig. 6. Diﬀerent behaviors emerged from the control of the Stumpy with the Pimax. During the swinging motion, the robot swings to either side and then, just before falling, moves the upper body towards the center. Further behaviors include fast locomotion with low amplitude, and swinging and turning to either side. Videos are available . the values V32 and V62 (reﬂecting the correspondence between motor actions and left-right accelerations) raise in value.
From Animals to Animats 13: 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings by Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales