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.

It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems.

The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process.

Major Fields

Computing Paradigms: Soft Computing, Quantum Computing, Molecular Computing, Foundations

Programming and Architecture: Computational Logic, Constraint Programming, Concurrency and Parallelism, Programming Systems

Network Computing: Distributed Computing, Web Computing, Mobile Computing, Security

Intelligent Systems: Cognitive Modeling, Agent Technology, Intelligence and Communication Amplification, Knowledge Management and Ontology, Knowledge Based Systems

Learning: Inductive Logic Programming, Computational Learning Theory, Statistical Learning Methods, Reinforcement Learning, Knowledge Discovery and Data Mining

Evolutionary Systems: Evolutionary Computing, Bioinformatics, Biomodeling