- Supports the development of new computational paradigms stemming from the cross-fertilization of various research fields, from programming to agent-oriented systems.
- Presents theoretical and practical papers that cover all types of learning, knowledge discovery, evolutionary mechanisms, and emergent systems that can lead to key technologies that enable the building of more complex and intelligent systems.
The journal is specially intended to support the development of new computational paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems and agent-oriented systems.
Major fields covered in New Generation Computing, include:
Biocomputing: Molecular Robotics, Synthetic Biology, Artificial Cell, DNA Nano-engineering, Molecular Computing, Self-organizing Systems, Modeling and Simulation for Biocomputing, Image Processing and Visualization for Biocomputing, Control Theory and Systems for Biocomputing
Programming and Semantics: Foundations and Models of Computation, Computational Logic, Programming Systems, Declarative Programming, Concurrency and Parallelism, Quantum Computing
Social Computing: Social Media, Web Services, Web Mining, Social Studies, Semantic Web, Crowdsourcing, Social Systems
Cognitive Computing: Modeling Human Problem Solving and Learning, Modeling Human Communication, Interactive Systems, Data-intensive Approach to Cognitive Computing, Integration and Application of Cognitive Computing, Evaluation Methodology
Data Mining: Sequence and Stream Mining, Graph and Network Mining, Relational Data Mining, Data Mining Languages, Data Privacy
Learning: Foundations and Models of Learning, Computational Learning Theory, Inductive Logic Programming, Statistical Learning Methods, Bayesian Networks, Reinforcement Learning, Human Learning, Intelligent Tutoring Systems, Machine Learning with Humans
