Nature of Artificial Life
Nature of Artificial Life is an international open-access journal that publishes review articles on artificial intelligent systems, complex phenomena in biological systems, and related fields of artificial life, robotics, mathematical bio-semiotics. This journal is a unifying force, going across the barriers between disciplines, addressing all living systems from molecules to populations and from genetics to mind and artificial systems modeling these phenomena.
Vol. 1 No. 2 (2020)
Nature of Artificial Intelligence publishes rigorously peer-reviewed research on the cutting-edge, disruptive technological revolution of Artificial Intelligence (AI).
Led by an outstanding Editorial Board of international experts across academia and industry, the Nature of Artificial Intelligence aims to be at the forefront of disseminating scientific knowledge and impactful discoveries to academics, policy-makers, industry, and the public worldwide. The open-access model and the rigorous and fast peer review make the journal the premier platform to publish high-quality content on challenges and solutions that bring the AI suite of methods to practical use.
In a broad sense, AI is understood as the computational tools to make sense of complex Big Data, i.e. datasets humans can only mine by training machines and making them perform human-like tasks. The enormous expansion of AI in all aspects of modern life needs a platform of exchange, to learn from each other. Many problems are similar in the various use areas, such as data access and quality, validation and ethical issues.
The Nature of Artificial Intelligence wants to be this nexus of AI Research and provide a unified home for innovative research in the core and applied AI areas. The journal currently features 8 specialty sections:
1) Medicine and Public Health
2) Machine Learning and Artificial Intelligence
3) Artificial Intelligence in Finance
4) Fuzzy Systems
5) Language and Computation
6) AI for Human Learning and Behavior Change
7) AI in Business
8) Technology and Law
9) AI in Food, Agriculture and Water
There are a number of ways you can contribute to the journal:
· Propose a Research Topic
· Submit a manuscript to the journal
· Apply to join the Editorial Board of a section as Associate or Review Editor
· Recommend a new Specialty Section for inclusion in the journal