Download Advances in Artificial Life. Darwin Meets von Neumann: 10th by André Stauffer, Joël Rossier (auth.), George Kampis, István PDF

By André Stauffer, Joël Rossier (auth.), George Kampis, István Karsai, Eörs Szathmáry (eds.)

ISBN-10: 3642212824

ISBN-13: 9783642212826

ISBN-10: 3642212832

ISBN-13: 9783642212833

The two-volume set LNAI 5777 and LNAI 5778 constitutes the completely refereed post-conference court cases of the tenth ecu convention, ECAl 2009, held in Budapest, Hungary, in September 2009. The 141 revised complete papers awarded have been rigorously reviewed and chosen from161 submissions. The papers are geared up in topical sections on evolutionary developmental biology and undefined, evolutionary robotics, protocells and prebiotic chemistry, platforms biology, man made chemistry and neuroscience, workforce choice, ecosystems and evolution, algorithms and evolutionary computation, philosophy and humanities, optimization, motion, and agent connectivity, and swarm intelligence.

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Extra resources for Advances in Artificial Life. Darwin Meets von Neumann: 10th European Conference, ECAL 2009, Budapest, Hungary, September 13-16, 2009, Revised Selected Papers, Part I

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The water forces are computed for cells in the lateral of the body plan, represented by black circles in Fig. 2. The normal and tangential vectors of the body parts (i-th sphere) can be calculated by: Emerged Coupling of Motor Control and Morphological Development pi−1 − pi+1 |pi−1 − pi+1 | 0 −1 ni = · ti , 1 0 ti = 31 (9) (10) where pi is the position vector of the i-th cell and pi−1 and pi+1 are the positions of the neighboring cells at the outer side of the morphology. v iN = ni · v i , v iT = ti · v i , (11) (12) where v i is the velocity of the i-th cell.

9 are also evolved depending on the type of connectivity: λII , λIE , λSE , λAA where I=interneuron, E=effector neuron, S=sensory neuron; AA indicates connections between interneurons in adjacent segments. 22 B. Jones et al. Fig. 2. A sequence of overlaid screenshots at behavioural iterations 1, 245 and 384 (a total of 400 are permitted) for an evolved animat. The animat’s task is to swim towards the cube in the direction indicated by the lower arrow. Neural properties. These include the neuron time-constants, thresholds and whether or not a neuron is inhibitory.

For the chromosome for morphological development, we also use gene duplication and transposition in addition to mutations. In one setup, gene deletion is also applied, refer to Table 2. We minimize the following fitness function: f = fswim + fshape , (13) where fswim defines the distances between the center of masses of the body plan at the beginning and the end of the simulation: n fswim = − n xi (t = 0) i=0 − xi (tend ) (14) i=0 and fshape awards elongated shapes: fshape = max min xi (0) , −30 − min max xi (0) , 30 ...

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Advances in Artificial Life. Darwin Meets von Neumann: 10th European Conference, ECAL 2009, Budapest, Hungary, September 13-16, 2009, Revised Selected Papers, Part I by André Stauffer, Joël Rossier (auth.), George Kampis, István Karsai, Eörs Szathmáry (eds.)


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