9th-10th International Conference on the Theory and Practice of Natural Computing

TPNC 2020 & 2021

Tsukuba, Japan - December 7-10, 2021

DeepLearn 2022 Summer - 7th International School on Deep Learning
https://irdta.eu/deeplearn/2022su/

Deadlines (all at 23:59 CET)

AIMS

TPNC is a conference series intending to cover the wide spectrum of computational principles, models and techniques inspired by information processing in nature. TPNC 2020 & 2021 will reserve significant room for young scholars at the beginning of their career and particular focus will be put on methodology. The conference aims at attracting contributions to nature-inspired models of computation, synthesizing nature by means of computation, nature-inspired materials, and information processing in nature.

Previous events took place in Tarragona, Cáceres, Granada, Mieres, Sendai, Prague, Dublin and Kingston.

VENUE

TPNC 2020 & 2021 will take place in Tsukuba, located northeast of Tokyo and the seat of a science city bearing witness of a place oriented to scientific innovation. The venue will be:

tba

STRUCTURE

TPNC 2020 & 2021 will consist of:

  • invited talks
  • peer-reviewed contributions
  • posters

SCOPE

Topics include, but are not limited to:

Theoretical contributions to:

  • — affective computing
  • — ambient intelligence
  • — ant colony optimization
  • — approximate reasoning
  • — artificial immune systems
  • — artificial life
  • — cellular automata
  • — cognitive computing
  • — cognitive robotics
  • — collective intelligence
  • — combinatorial optimization
  • — computational intelligence
  • — computing with words
  • — developmental systems
  • — DNA computing
  • — evolutionary algorithms
  • — evolutionary computing
  • — evolutionary game theory
  • — fuzzy logic
  • — fuzzy sets
  • — fuzzy systems
  • — genetic algorithms
  • — genetic programming
  • — global optimization
  • — granular computing
  • — heuristics
  • — intelligent agents
  • — intelligent control
  • — intelligent manufacturing
  • — intelligent systems
  • — intelligent user interfaces
  • — machine intelligence
  • — membrane computing
  • — metaheuristics
  • — molecular programming
  • — multiobjective optimization
  • — neural networks
  • — quantum communication
  • — quantum computing
  • — quantum information
  • — quantum metrology
  • — rough sets
  • — soft computing
  • — swarm intelligence
  • — swarm robotics
  • — unconventional computing

Applications of natural computing to:

  • — algorithmics
  • — bioinformatics
  • — cryptography
  • — design
  • — economics
  • — graphics
  • — hardware
  • — human-computer interaction
  • — knowledge discovery
  • — learning
  • — logistics
  • — medicine
  • — natural language processing
  • — pattern recognition
  • — planning and scheduling
  • — programming
  • — telecommunications
  • — web intelligence

A flexible "theory to/from practice" approach would be the perfect focus for the expected contributions.

QUESTIONS AND FURTHER INFORMATION

david (at) irdta.eu

Submissions

Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

Upload submissions to:

https://easychair.org/conferences/?conf=tpnc20202021

PUBLICATIONS

A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference.

A special issue of Neural Computing and Applications (2020 JCR impact factor: 5.606) will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.

REGISTRATION

The registration form can be found at:

https://irdta.eu/tpnc2020-2021/registration/

ACKNOWLEDGMENTS



Japanese Society for Artificial Life