The journal is specifically 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.

Major Fields of Research:
▪ Computing Paradigms
Soft Computing, Quantum Computing, Molecular Computing, Foundations
▪ Programming and Architecture
Computational Logic, Constraint Programming, Concurrency and Parallelism, Programming Systems
▪ Network Computing
Grid Computing, Web Computing, Mobile Computing, Ubiquitus Computing
▪ Intelligent Systems
Itelligent and Adaptive Agents, Communicative Intelligence, Ontology, Semantic Web, Knowledge Management
▪ Machine Learning
Computational Learning Theory, Inductive Logic Programming, Statistical Learning Methods, Bayesian Networks, Reinforcement Learning, Knowledge Discovery and Data/Text Mining
▪ Biocomputing
Evolutionary Computing, Genetic Algorithms and Programming, Biologically-inspired Systems, Biochemical Modeling and Simulation