Portal:Complex Systems Digital Campus/Engineering and Control of Self-Organization e-Department

From Wikiversity
Jump to navigation Jump to search

Engineering and Control of Self-Organization E-Department[edit | edit source]

Great Challenge[edit | edit source]

Description[edit | edit source]

Artificial complex systems can be created to analyze, model and regulate natural complex systems. Conversely, new and emergent technologies can find inspiration from natural complex systems, whether physical, biological or social. Modeling and simulation are crucial complementary tools in the exploration of complex systems. The recent and fast-growing development of complex systems research in many scientific fields, along with the strong interdisciplinary interactions that it created, was greatly stimulated by the striking advances in computer networks and high-performance calculation. Information and communication technologies represent today a major tool of investigation in complex systems science, often replacing analytic and phenomenological approaches in the study of emergent behavior. In return, information technologies also benefit from complex system research.

The ECSO e-track features innovative cross-disciplinary fields that attempt to solve, at their core, the paradox of “engineering and controlling self-organization” in various ways. For this reason, ECSO researchers often have difficulties finding a home in traditional venues – established conferences or journals, university departments or schools – as they are torn between scientific domains focused on the observation and modeling of natural complex systems (in which they appear too “artificial” and disconnected from “real data”) and engineering domains more interested in top-down design and optimization of reliable “complicated systems” than complexity per se (in which their meta-designs appear too “soft” or “bioinspired” and not sufficiently “proven”).

The ECSO e-track thus purports to be a unifying pole between two big families: complex systems and engineeering, which are traditionally not communicating, yet have witnessed the rise of a new, unofficial intersection populated with numerous original ideas and topics.

Board[edit | edit source]

  • René Doursat (chair), ISC-PIF

Bibliography & resources[edit | edit source]

the roadmaps

the e-sessions of CS-DC-15.org

Challenges[edit | edit source]

flagships[edit | edit source]

e-laboratories[edit | edit source]

e-teams[edit | edit source]

Committees[edit | edit source]

Scientific Committee[edit | edit source]

Description[edit | edit source]

Board[edit | edit source]

  • (name) (chair | email)
  • name, name, ...

Bibliography & resources[edit | edit source]

e-event Committee[edit | edit source]

Description[edit | edit source]

Board[edit | edit source]

  • (name) (chair | email)
  • name, name, ...

Bibliography & resources[edit | edit source]

other Committees to be created[edit | edit source]

Keywords[edit | edit source]

A

   Amorphous Robotics (1)
   artificial chemistry (1)
   Artificial life (1)

B

   Bio-inspiration (1)
   bio-inspired computing (1)

C

   chemical computing (1)
   Collective behavior (1)
   collective construction (1)
   collective systems (1)
   complex systems (10)
   computer science (5)
   construction automation (1)

D

   decentralized algorithms (1)
   design for engineering (1)
   designing emergent systems (1)
   distributed computing (3)

E

   environmental monitoring (1)
   evolutionary adaptation (1)
   evolutionary robotics (1)

F

   Functional form (1)

G

   Generative Encodings (1)
   geographic information science (1)
   geoinformatics (1)
   geosensor networks (1)

H

   heterogeneous systems (1)

I

   interactive evolutionary computation. (1)

M

   modelling and simulation for biology (1)
   molecular machine (1)
   Morphogenesis (1)
   morphogenetic engineering (1)
   Morphological Computation (1)
   moving objects (1)

O

   on-line learning (1)

P

   pattern formation (2)
   pheromones (1)

R

   reaction-diffusion (1)

S

   Self organisation (3)
   Self-architected systems (1)
   Self-organization (4)
   Soft Robotics (1)
   spatial computing (1)
   stigmergy (1)
   swarm robotics (3)
   swarms (1)
   Synthetic biology (1)

T

   Tensegrity (1)
   termites (1)

W

   waspmites (1)
   wasps (1)
   Weak emergence (1)