Natural Intelligence: Computing with Swarming Materials and Photons

IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016)
December 6-9, 2016
Athens, Greece

Title of the special session:
Natural Intelligence: Computing with Swarming Materials and Photons

This special session is organized under 2016 IEEE Swarm Intelligence Symposium (SIS).

[NEW] The special session is accepted. (April 27, 2016) 
[NEW] Web site open. (April 27, 2016)
[NEW] Submission deadline of invited and contributed papers: August 15, 2016

Description of the special session
    Natural Intelligence is an emerging research field whereby deep insights into natural processes and device technologies transform computing systems in yet another architectures that overcome and/or complement conventional digital computing. Interesting swarm-like dynamics is observed in man-made, solid-state nanomaterials, for example in optical phase-change materials, not just conventional biological entities, which greatly expands the scope of swarm intelligence. 
    In this special symposium, world-leading researchers working on novel materials and devices for intelligent functions present the forefront of the related research as well as reviewing the frontier of theoretical insights into Natural Intelligence. 
    The first of such a session, formerly known as International Workshop on Information Physics and Computing in Nano-scale Photonics and Materials (IPCN), was held in 2012 in France collocated with Unconventional Computation and Natural Computation (UCNC 2012) followed by the second held in 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA) in Switzerland. The first workshop has been published by the Springer (Nanophotonic Information Physics). 
    As implied by the title of these former successful workshops, one of the unique characters of the proposed special session is deeper interests to technological realizations using solid-state devices or state-of-the-art photonic technologies, not just the way we extract intelligence from nature including swarm intelligence. Therefore, the potential contributors (listed below) consist of researchers from a variety of scientific and technology disciplines. Meanwhile, unique theoretical approaches, such as category theory, are highlighted as well. 
    We believe that the special session in SIS and SSCI in general will be highly of interests and beneficial for the participants and pave the way for further development of the fields. 

Names of proposers
  • Makoto Naruse, National Institute of Information and Communications Technology, Japan
  • Masashi Aono, Tokyo Institute of Technology, Japan
  • Song-Ju Kim, National Institute for Materials Science, Japan
  • Daniel Brunner, FEMTO-ST, France
List of topics
  • Theory of natural intelligence
  • Swarm intelligence observed in man-made materials and optical processes
  • Electrical and optical device realization of natural intelligence
  • Decision making and machine learning based on physical processes
  • Photonic intelligence based on fiber optics, laser physics, etc. 
  • Optimization/solution searching based on physical processes
  • Novel spatiotemporal dynamics in materials and photonics
List of potential contributors
  • Daniel Brunner (FEMTO-ST, France), Photonic reservoir computing
  • Paul Prucnal (Princeton University, USA), Fiber optics for computational intelligence
  • Serge Massar (Universite libre de Bruxelles, Belgium), Classical and quantum processes for natural intelligence
  • Takeo Ohno (Tohoku University, Japan), ReRAM-based learning devices
  • Laszlo B. Kish (Texas A&M University, USA), Noise-based computing
  • Hirokazu Hori (University of Yamanashi, Japan), Category theoretic foundation of natural intelligence
  • Toshiharu Saiki (Keio University, Japan), Swarm intelligence based on optical phase-change materials and metal nanostructures
  • Song-Ju Kim (National Institute for Materials Science, Japan), Decision making based on natural processes
  • Masashi Aono (Tokyo Institute of Technology, Japan), Amoeba-inspired NP-complete problem solver
  • Makoto Naruse (National Institute of Information and Communications Technology, Japan), Photonic reinceforcement learning: single-photon decision maker
How to submit a paper
  • All invited and contributed papers should be submitted through IEEE SSCI 2016 paper submission system.
  • The paper format of special session papers and the selection processes (including dates) are all the same with the IEEE SSCI 2016 paper. [See more]
  • In the "Select a Track" step in the submission system, please choose "Special Session for SIS : Natural Intelligence: Computing with Swarming Materials and Photons". 
  • Please follow the subsequent instructions. 
  • If you have quesions, please contact us: Email: 
Submission deadline
  • August 15, 2016 (Same as IEEE SSCI)