Conference Information
TPNC 2021: International Conference on the Theory and Practice of Natural Computing
https://irdta.eu/tpnc2020-2021/Submission Date: |
2021-08-03 Extended |
Notification Date: |
2021-08-31 |
Conference Date: |
2021-12-07 |
Location: |
Tsukuba, Japan |
Years: |
10 |
Viewed: 15440 Tracked: 3 Attend: 0
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 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.
Last updated by Dou Sun in 2021-07-25
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International Journal of Technology Enhanced Learning | Inderscience | |
Computational Complexity | 0.487 | Springer |
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ACM Transactions on Parallel Computing | ACM | |
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