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.

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.