Complexity through Development and
To be held as part of the
Seattle, Washington, July 8-9, 2006
This workshop follows on from the successful workshops on self-organization in representations in evolutionary algorithms, and scalable, evolvable, emergent developmental systems at previous GECCO conferences. This year's workshop is a unified workshop covering both closely related areas. It promises to be an exciting, thought provoking, and successful workshop.
Evolutionary algorithms (EAs) have been applied to an ever increasing variety of problem domains, for which they have achieved human competitive results on small evolutionary design problems. The application of EAs to tasks of ever increasing difficulty is fraught with problems, namely: stagnation of search in large search spaces, negative epistatic effects, disruption of large building blocks, and scalability, amongst others. Recently, the problem of scalability has attracted much attention, and deservedly so, as its resolution is linked to other critical and demanding open research problems such as: development, evolvability, and modularity. In order to improve the scalability of such systems fundamental research must be undertaken to discover how to evolve increasingly more complex designs.
For this we look at the two systems that have achieved scalability: human engineering and natural systems. Manually constructed systems have achieved such things as aircraft with over a million parts, software with tens of millions of lines of code and over a hundred million transistors in microprocessors, suggesting that we can improve the scalability of automated design by using principles of engineering. Similarly, natural evolution and developmental biology have produced adaptable and self-repairing systems of even greater complexity using principles of self-organization.
Self-organization is fundamental to the developmental process at all levels: molecular, genetic, and cellular. Nature evolves instructions in the form of genes that are used to specify the construction of organisms during the process of development. With reports of the number of genes in the human genome being revised downwards, the role of self-organization in complex webs of gene regulation is all the more salient. Given these new findings, perhaps the self-organization of genotypic instructions and biological structure from cells during multicellular development is a key missing ingredient from EAs? To this end, it is anticipated that models of biological cells and multicellular development represent a valuable source of knowledge that will aid us in designing EAs with emergent phenomena such as: adaptability, scale-free-ness, evolvability, and robustness. Regardless of the developmental model or generative representation chosen -- cellular automata, genetic regulatory networks, L-systems, etc - we must understand exactly what gives such systems their computational power and exactly how they affect evolvability.
This workshop will focus on domain-independent methods for representing complex solutions with self-organizable building blocks, and on developmental principles for specifying the construction of complex systems. The workshop welcomes multidisciplinary work, including submissions from biologists on relevant biology that may help shed more light on developmental, self-organizing principles for evolutionary computation.
Topics of interest include
This workshop seeks to bring together researchers from diverse problem domains to informally discuss issues related to the representation of complex solutions using developmentally inspired processes and the self-organization of simple building blocks. We focus on evolutionary algorithms but we address the issue of building complexity from simplicity in general. We plan to have a series of short technical presentations followed by a panel discussion.
We welcome technical papers describing completed or on-going research as well as position papers outlining current research issues, approaches or research agendas. We also welcome suggestions to panel discussions. Presentations will be short but will include extra time for discussion.
Workshop Submission Instructions
Please submit proposed contributions via email to email@example.com in PS or PDF format by March 31st. Contributions can vary from one-page position statements up to full twelve-page camera-ready papers. Accepted contributions will be published in the GECCO-2006 workshops proceedings.
Camera Ready Instructions
Camera ready papers MUST be received by APRIL 19 (this
is a hard deadline).
Camera Ready Format
Authors are welcome to resubmit their 3-4 page outline or to submit an extend version of their contribution. Camera ready papers should be no longer than 12 pages. For more information about formatting please visit: format for manuscripts submitted to GECCO-2006.
AttendanceOpen to all GECCO 2006 attendees
More informationFor more information, comments or suggestions please email Ivan Garibay at firstname.lastname@example.org