IEEE Task Force

Unconventional Computing

Emergent Technologies TC,
IEEE Computational Intelligence Society



Georgios Sirakoulis, DUTH, Greece

Victor Erokhin CNR, Italy

Task Force Members

Selim Akl, Queen’s University, Canada
Martyn Amos, Manchester Metropolitan University, UK
Tetsuya Asai, Hokkaido University, Japan
Anirban Bandyopadhyay, NIMS, Tsukuba, Japan
Cristian Calude, University of Auckland, New Zealand
José Félix Costa, Technical University of Lisbon, Portugal
Jérôme Durand-Lose, University of Orléans, France
Jerzy Gorecki, Institute of Physical Chemistry, Poland
Evgeny Katz, Clarkson University, USA
Natalio Krasnogor, University of Newcastle, UK
Genaro Martinez, IPN, Mexico
Bruce MacLennan, University of Tennessee, USA
Eduardo Miranda, University of Plymouth, UK
Kenichi Morita, Hiroshima University, Japan
George Paun, Institute of Mathematics, Romania
Vladimir Privman, Clarkson University, USA
Yaroslav Sergeyev, University of Calabria, Italy
Mike Stannett, University of Sheffield, UK
Susan Stepney, University of York, UK
Konrad Szaciłowski, AGH University, Poland
Christof Teuscher, Portland State University, USA

What is unconventional computing?

Unconventional computing is a science in flux. What is unconventional today will be conventional tomorrow. Designs being standard in the past are seen now as a novelty. Unconventional computing is a niche for interdisciplinary science, a crossbreed of computer science, physics, mathematics, chemistry, electronic engineering, biology, materials science and nanotechnology. The aims are to uncover and exploit principles and mechanisms of information processing in, and functional properties of, physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices. The topics include physics of computation, molecular communication and computing, cellular automata, computing with slime mould, plants, bacterial colonies, complexity of computation, smart and functional materials for computing and sensing, mechanical computing, non-classical logics for computation.

Unconventional Computing, Emerging Technologies and Computational Intelligence

Unconventional computing is the engine for generating novel concepts, paradigms, architectures, and, most importantly, implementations of the unique computing devices based non-silicon information processing in chemical, physical and living systems. These paradigms, architectures and prototypes are used in most areas of emergent topics in computational intelligence, including adaptive and fuzzy systems, morphological computer designs, green, synthetic and organic computing structures and systems, advanced analytics, evolutionary computation.


We aim to overcome fundamental weaknesses in the unconventional computing status that arise because of the lack of a sustained long-term coherent research programme across the different funding bodies, competition between the funding bodies and a lack of transparency; and, poorly executed or non-existent mechanisms for moving technologies from the research stages to early demonstrations, applications and deployment.


UCNC 2017   
Unconventional Computation and Natural Computation 2017

New Worlds of Computation 2017 and Journées Calculabilités

Emergent Computation
A Festschrift for Selim G. Akl