[alife] CFP: Generative and Developmental Systems (GDS) track at GECCO 2014

[Michael E. Palmer]

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*** CALL FOR PAPERS

*** 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2014)

*** Generative and Developmental Systems (GDS) Track

*** July 12-16, 2014 in Vancouver, BC, Canada

*** Organized by ACM SIGEVO

*** http://www.sigevo.org/gecco-2014 <http://www.sigevo.org/gecco-2013>

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We invite you to submit your paper to the Generative and Developmental
Systems (GDS) track at GECCO 2014. The focus of the GDS track is making
artificially evolved systems scale to high complexity, with work ranging
from biologically inspired approaches to automated engineering design.
Each paper submitted to the GDS Track will be reviewed by experts in the
field. The size and prestige of the GECCO conference will allow many
researchers to learn about your work, both at the conference and via the
proceedings (GECCO has the highest impact rating of all conferences in
the field of Evolutionary Computation and Artificial Life).


    TRACK DESCRIPTION

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As artificial systems (of hardware, software and networks) continue to
grow in size and complexity, the engineering traditions of rigid
top-down planning and control are reaching the limits of their
applicability. In contrast, biological evolution is responsible for the
apparently unbounded complexity and diversity of living organisms. Yet,
over 150 years after Darwin's and Mendel's work, and the subsequent
"Modern Synthesis" of evolution and genetics, the developmental process
that maps genotype to phenotype is still poorly understood.
Understanding the evolution of complex systems - large sets of elements
interacting locally and giving rise to collective behavior - will help
us create a new generation of truly autonomous and adaptive artificial
systems. The Generative and Developmental Systems (GDS) track seeks to
unlock the full potential of in silico evolution as a design methodology
that can "scale up" to systems of great complexity, meeting our
specifications with minimal manual programming effort. Both qualitative
and quantitative advances toward this long-term goal will be welcomed.


      Indirect and open-ended representations: The genotype is more than
      the information needed to produce a single individual. It is a
      layered repository of many generations of evolutionary innovation,
      shaped by two requirements: to be fit in the short term, and to be
      evolvable over the long term through its influence on the
      production of variation. "Indirect representations" such as
      morphogenesis or string-rewriting grammars, which rely on
      developmental or generative processes, may allow long-term
      improvements to the "genetic architecture" via accumulated layers
      of elaboration, and emergent new features. In contrast, "direct
      representations" are not capable of open-ended elaboration because
      they are restricted to predefined features.


      Complex environments encourage complex phenotypes: While complex
      genotypes may not be required for success in simple environments,
      they may enable unprecedented phenotypes and behaviors that can
      later successfully invade new, uncrowded niches in complex
      environments; this can create pressure toward increasing
      complexity over the long term. Many factors may affect
      environmental (hence genotypic) complexity, such as spatial
      structure, temporal fluctuations, or competitive co-evolution.


      More is more: Today's typical numbers of generations, sizes of
      populations, and components inside individuals are still too
      small. Just like physics needs higher-energy accelerators and
      farther-reaching telescopes to understand matter and space-time,
      evolutionary computation needs a boost in computational power to
      understand the generation of complex functionality. Biological
      evolution involved 4 billion years and untold numbers of
      organisms. Nature could afford to be "wasteful", but we cannot. We
      expect that datacenter-scale computing power will be applied in
      the future to produce artificially evolved artifacts of great
      complexity. How will we apply such resources most efficiently to
      "scale up" to high complexity?


      How should we measure evolved complexity?: The GDS track has
      recently added a new focus: defining quantitative metrics of
      evolved complexity. (Which is more complex - a mouse, or a
      stegosaurus?) The evolutionary computing community is badly in
      need of such metrics, which may be theoretical (e.g., Kolmogorov
      complexity) or more practical. Ideally, such metrics will be
      applicable across multiple problem domains and genetic
      architectures; however, any efforts will be welcomed. We encourage
      authors to submit papers on these quantitative metrics, which will
      be given special attention by the track chairs this year.


The GDS track invites all papers addressing open-ended evolution,
including, but not limited to, the areas of:

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    artificial development, artificial embryogeny

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    evo-devo robotics, morphogenetic robotics

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    evolution of evolvability

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    gene regulatory networks

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    grammar-based systems, generative systems, rewriting systems

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    indirect mappings, compact encodings, novel representations

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    morphogenetic engineering

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    neural development, neuroevolution, augmenting topologies

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    synthetic biology, artificial chemistry

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    spatial computing, amorphous computing

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    competitive co-evolution (arms races)

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    complex, spatially structured, and dynamically changing environments

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    diversity preservation, novelty search

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    efficiently "scaling up" to large numbers of generations,
    individuals, and internal components

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    measures of evolved complexity (theoretical, or practical)


    VENUE
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    The track and conference will be held in Vancouver, BC, Canada.


    IMPORTANT DATES

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    Abstract submission: January 15, 2014 (required, new for 2014!)

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    Submission of full papers: January 29, 2014 (NO extensions this year)

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    Notification of paper acceptance: March 12, 2014

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    Camera ready submission: April 14, 2014

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    Advance registration: May 2, 2014

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    Conference: July 12-16, 2014 in Vancouver, BC, Canada


FOR MORE INFORMATION:
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Please see the GDS 2014 website <http://www.mepalmer.net/gds2014>,
http://www.mepalmer.net/gds2014, or email the GDS co-chairs, Michael
Palmer (mepalmer at charles.stanford.edu) and Sebastian Risi
(sebastian.risi at gmail.com).

Or you can join the GDS Google Group
<https://groups.google.com/forum/#%21forum/gds-gecco>,
https://groups.google.com/forum/#!forum/gds-gecco
<https://groups.google.com/forum/#%21forum/gds-gecco>,  to see the
latest updates.