Conference Information
TPNC 2017 : International Conference on the Theory and Practice of Natural Computing
http://grammars.grlmc.com/TPNC2017/
Submission Date:
2017-08-10 Extended
Notification Date:
2017-09-06
Conference Date:
2017-12-18
Location:
Prague, Czech Republic
Years:
6
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Conference Location
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Call For Papers
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 2017 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. 

Scope

Topics include, but are not limited to:

    Theoretical contributions to
        amorphous computing
        ant colonies
        artificial chemistry
        artificial immune systems
        artificial life
        bacterial foraging
        cellular automata
        chaos computing
        collision-based computing
        complex adaptive systems
        computing with DNA
        computing with words and perceptions
        developmental systems
        evolutionary computing
        fractal geometry
        fuzzy logic
        gene assembly in ciliates
        granular computing
        intelligent systems
        in-vivo computing
        membrane computing
        nanocomputing
        neural computing
        optical computing
        physarum machines
        quantum computing
        quantum information
        reaction-diffusion systems
        rough sets
        self-organizing systems
        swarm intelligence
        synthetic biology
    Applications of natural computing to
        algorithmics
        bioinformatics
        control
        cryptography
        design
        economics
        graphics
        hardware
        human-computer interaction
        knowledge discovery
        learning
        logistics
        medicine
        natural language processing
        optimization
        pattern recognition
        planning and scheduling
        programming
        robotics
        telecommunications
        web intelligence

A flexible "theory to/from practice" approach would be the perfect focus for the expected contributions. 
Last updated by Dou Sun in 2017-08-05
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