Confirmed Keynote Speakers:
Yaneer Bar-Yam, Multiscale Dynamical Representation
Hiroki Sayama, Evolution, Development, and Complexity of Morphogenetic Collective Systems
H. Eugene Stanley, Constraint Laws in Econophysics
(Fourth Keynote Speaker TBA)
Additional contributed talks (15 min + 5 Q&A) and posters will be selected with a combination of Invitations and Open Call for Abstracts.
Poster session at lunch, and morning small group breakout and shareback activity.
The Evolution, Development and Complexity (EDC) satellite meeting explores how our understanding of the universe as a complex system might be augmented by insights from information and computation studies, evolutionary developmental (evo-devo) biology, and hypotheses and models of quasi-evolutionary and quasi-developmental processes applied at universal and subsystem scales. It is a topic in the Foundations of Complex Systems track at the Conference on Complex Systems 2017 (CCS17).
The satellite seeks to advance conceptual and mathematical models and empirical applications in three major and potentially foundational research themes:
A. Evolution / diversity / phase space creation / unpredictability
B. Development / constraint / phase space reduction / predictability
C. Complexity / nonlinear dynamics / learning / intelligence / adaptation
These are the major research themes of the Evo Devo Universe academic research and discussion community, an interdisciplinary international group of roughly 100 publishing scholars investigating complex systems at all scales of universal dynamics. Researchers are challenged to consider how scholarship, concepts and models from each of these three themes in complexity science and philosophy may relate to and inform their work. The satellite seeks to evaluate biologically-inspired approaches to understanding complex adaptive systems at all scales, from the intersecting academic disciplines of complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolution, development, and philosophy.
The underlying paradigm for cosmology is theoretical physics. It has helped us understand much about universal space, time, energy, and matter, but does not presently connect strongly to the emergence of information, computation, life and mind. Fortunately, recent developments in physics, cosmology, theoretical biology, evolutionary developmental biology, information and computation theory, and the complexity sciences are providing complementary yet isolated ways to understand our universe within a ‘meta-Darwinian’ framework in which unpredictable and diversity-creating or "evolutionary" and predictable, convergent, and hierarchical, or "developmental" processes work together, via replication and under selection, to generate adapted information, order, and "intelligence" in a variety of physical systems at multiple scales. The rigor, relevance, and limits of an evolutionary developmental approach to understanding universal complexity remains an understudied domain of scientific and philosophical inquiry.
An evolutionary developmental framework promises to advance our understanding of both perennially chaotic, contingent, creative, experimental, and unpredictable processes (evolutionary processes, in a dynamical and functional definition) and of constraining, convergent, hierarchical, cyclical, heritable, and predictable processes (developmental processes) in the universe as a system, and of evolutionary and developmental process at all scales, including the human scale. If falsified in any part, this endeavor will improve our thinking about complex systems, and the role and limits of organic analogies in understanding other potentially replicating systems, including our universe as a system.
For example, convergent evolution in biology can be modeled as the result of networks made up by biomolecules or other agents that are organized and structured by information hierarchies emerging via top-down causation. The emergence of modularity and of functional equivalence classes in suboperations or subroutines – both in biological and technological systems – can be explained via such information hierarchies. Top-down causation describes the process whereby higher levels of emergent informational organization in structural hierarchies constrain the dynamics of lower levels of organization. In a typical reductionist paradigm it is assumed that purely physical effects determine the dynamics of lower levels of organization and, by extension, strictly govern interactions occurring at higher levels as well. But an emerging school of investigators hypothesize that the transition from non-life to life, abiogenesis, requires a top-down transition in causation and information flow (e.g. Walker et al. (eds.) (2017), From Matter to Life, Cambridge U. Press.)
Opportunities for interdisciplinary synthesis and domain-specific scholarship in the three meta-themes of this satellite--evolution, development, and complexity--have never been better. Come join us, share your current work, and find opportunities to partner and publish both at our satellite, and at CCS2017.
● To explore and evaluate biologically-inspired approaches to understanding complex adaptive systems at multiple scales, from the intersecting disciplines of complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolution, development, and philosophy.
● Publish proceedings of the event in Springer Proceedings in Complexity.
Call for Abstracts
Scholars are warmly invited to submit a 300-word abstract on your work to Clément Vidal at firstname.lastname@example.org, by or before 30th June. You will be notified of acceptance status on a rolling basis up to 14th July, until talk + paper positions are filled. Stronger candidates are encouraged to submit abstracts early. We will also accept up to six additional poster + paper presentations from scholars who will represent their work during the poster session.
All papers must be original and not simultaneously submitted to another journal or conference.
Papers are to be submitted to EasyChair: https://easychair.org/conferences/?conf=edcatccs17 in either single or two column format, and PDF.
Abstracts and papers are welcomed on any of the academic disciplines, research themes, or topics (partial list) below.
Abstract Registration Deadline: 30th June
Notifications of Acceptance: Rolling (to 14th July)
Paper Submission Deadline: 18th August
Morning Session (9am - 1pm)
9:00-9:15 | Opening - EDU Directors | 15 min
9:15-9:45 | Hiroki Sayama, Morphogenetic Evolution, Development, and Complexity in Collective Systems | 25 min + 5 min Q&A
9:45-10:07 | John M. Smart, Evolutionary Development | 17 min + 5 min Q&A
10:07-10:30 | Contributed Talk 2 | 17 min + 5 min Q&A
10:30-11:00 | Coffee Break | 30 min
11:00-11:22 | Contributed Talk 3 | 17 min + 5 min Q&A
11:22-11:44 | Contributed Talk 4 | 17 min + 5 min Q&A
11:44-12:06 | Contributed Talk 5 | 17 min + 5 min Q&A
12:06-12:30 | Contributed Talk 6 | 17 min + 5 min Q&A
12:30-1:00 | Yaneer Bar-Yam, Multiscale Dynamical Representation | 25 min + 5 min Q&A
1:00-2:30 | Lunch and Poster Session | 90 min
We will accept up to six Non-Talk Posters, with associated papers published in the Springer volume.
Afternoon Session (2:30pm - 6:30pm)
2:30-3:00 | Eugene Stanley, Constraint Laws in Econophysics | 20 min + 5 min Q&A
3:00-3:15 | Contributed Talk 7 | 17 min + 3 min Q&A
3:15-3:30 | Contributed Talk 8 | 17 min + 3 min Q&A
3:30-4:00 | Closing Keynote 4 (TBA) | 20 min + 5 min Q&A
4:00-4:30 | Coffee Break | 30 min
4:30-5:00 | Roundtable Discussion w/ Keynote Speakers | 30 min
5:00-6:00 | Small Group Discussion Sessions | 60 min
Topic Tables and Open Tables (4 per table, 15 min per person).
* Share Your Work
* Discuss Topics and Papers of Interest
* Find New Reviewers and Co-Authors
6:00-6:25 | Report Outs by Group Recorders | 25 min
6:25-6:30 | Closing - EDU Director Hosts | 5 min
Evening Social Event
Academic Disciplines (favored list):
Complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolution, development, philosophy.
Research Themes (meta-list):
- Evolution / diversity / phase space creation / unpredictability
- Development / constraint / phase space reduction / predictability
- Complexity / nonlinear dynamics / learning / intelligence / adaptation
Paper Topics (partial list):
Accelerating Complexity, Adaptive Networks, Artificial Life, Astrobiology, Convergent Evolution (in any System), Cosmology, Developmental Models, Evo-Devo Biology, Hierarchy Theory, Information Hierarchies, Nonlinear and Adaptive Dynamics, Origin of Life, Performance Curves, Philosophy of Modeling, Reverse Engineering of Biological Complexity, Scaling Laws, Self-Organization, Theoretical Morphology, Top-Down Causation
James Coffman, Ph.D., Prof. of Biology, MDI Biological Laboratory, ME, USA
Georgi Georgiev, Ph.D., Prof. of Physics, Worcester Polytechnic Inst. & Assumption College, MA, USA
John Leslie, FRSC, Emeritus Prof. of Philosophy, U. Guelph, ON, Canada
Michael Price, PhD., Dir., Centre for Culture and Evolution, Brunel U, London, UK
Kelly C. Smith, Prof. Philosophy and Biology, Clemson U. , SC, USA
Eric Steinhart, Prof. Philosophy, William Paterson U, NJ USA
Clément Vidal, Ph.D., Vrije Universiteit Brussel, Belgium
Georgi Georgiev, Ph.D., Worcester Polytechnic Inst. & Assumption College, MA, USA
Claudio L. F. Martinez, M.Sc., University of Heidelberg, Germany
John M. Smart, M.Sc., Naval Postgraduate School, Monterey, CA, USA
Clément Vidal, Ph.D., Vrije Universiteit Brussel, Belgium