CSIS-IAC 2023 aims to provide a high-level international forum for scientists, researchers, educators, industrial professionals, and students worldwide to present state-of-the-art research results, address new challenges, and discuss trends in Complex Systems and Intelligent Science. CSIS-IAC 2023 invites scholars in all areas of Complex and Nonlinear Systems, System Analysis and Integration, Intelligent Science and Technology, and Intelligent Systems and Applications. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions on topics of current interest.
CSIS-IAC 2023 features plenary/keynote sessions by world leading researchers as well as awards to honor outstanding papers presented at the conference. CSIS-IAC 2023 welcomes proposals for special sessions reporting innovative research results on focused topics and workshops on novel emerging research topics. Please submit special session and workshop proposals to the conference secretariat at <csisiac@gmail.com> by the paper submission deadline. For more information about the conference, please refer to the conference website for details.
Click here to download the PDF version of Call for Papers.
Areas and topics of contributed papers include but are not limited to the following:
1. Complex Systems and Complexity Science |
| Artificial systems |
| Autonomous systems |
| Bio-molecular and cellular systems |
| Complex networks |
| Ecological systems |
| Economic systems |
| Energy, environment, and sustainability |
| Hybrid systems |
| Industrial systems |
| Intelligent transportation systems |
| Mathematical, physical and chemical systems |
| Neurodynamics and brain dynamics |
| Physiological and psychological systems |
| Social computing |
| Social systems |
| Switching systems |
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| Catastrophe theory |
| Chaos and synchronization |
| Cognitive modeling |
| Complexity in biology and health sciences |
| Computation and information processing in complex systems |
| Computational simulation and experiments |
| Cybernetics |
| Data-based methods |
| Dissipative structure theory |
| Dynamic programming |
| Emergence and complexity |
| Functional evolution and prediction |
| Game theory |
| Information theory |
| Self-organization |
| Synergetics |
| Structural modelling and dynamics of complex systems |
| System of systems |
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| Adaptive dynamic programming and reinforcement learning |
| Affective computing |
| Artificial intelligence |
| Big data and data mining |
| Brain-inspired computing |
| Computational intelligence |
| Computational linguistics |
| Deep learning |
| Evolution and adaptation |
| Evolutionary computation |
| Fuzzy sets and fuzzy logic systems |
| Genetic algorithms |
| Human-in-the-loop learning |
| Hybrid intelligence |
| Incremental/Active learning |
| Intelligent optimization |
| Knowledge representation and reasoning |
| Machine learning |
| Metaheuristics |
| Natural language processing |
| Neural networks |
| Support vector machines |
| Swarm intelligence |
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| Autonomous control |
| Autonomous driving |
| Brain–machine interface |
| Cognitive computing |
| Computer vision |
| Decision-making analysis and methods |
| Games |
| Image/video processing |
| Intelligent control |
| Intelligent medicine |
| Internet of things |
| Learning control and optimization |
| Metaverse, meta learning and metacontrol |
| Machine translation |
| Multi-agent systems |
| Nature-inspired computing |
| Neuromorphic computing |
| Pattern formation and pattern recognition |
| Parallel control and parallel management |
| Robotics, navigation and control |
| Smart environmental protection |
| Smart sensors |
| Smart grids |
| Supervised, semi-supervised and unsupervised learning |
| Unmanned aerial vehicles |