投稿信息
投稿信息
审稿周期
投稿命中率
审稿费用
暂无数据
版面费用
暂无数据
中国人发表比例
2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%)
自引率
3.9 %
年文章数
215
作者需知
暂无数据
NCBI查询
偏重的研究方向
暂无数据
期刊简介
稿件收录要求
稿件收录要求
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. 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. In more detail the major fields included in the scope of the journal are: Foundations: Real World Complexity Game Theory and Decision Theory Uncertainty and Bounded Rationality Situated Computation Brain Modeling Programming and Architecture: Functional Programming Logic and Constraint Programming Object-Oriented Programming Concurrent Programming Programming Environments Distributed and Parallel Computing: Distributed/Parallel Systems Network Computing Distributed/Parallel Algorithms Intelligent Systems: Cognitive Modeling Agents Intelligence and Communication Amplification Knowledge Media 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 Computation Emergent Systems Complex Systems
