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.