Discover Taylor & Francis Artificial Intelligence Journals
Championing choice for researchers and authors
Taylor & Francis Artificial Intelligence journals cover a variety of sub-disciplines including robotics, cybernetics, engineering, management & industry, cognitive science and neuroscience.
We want you to get to know our journals, not only to inspire and enrich your current research, but so that when it comes to publishing your own work, you already know which journal would help you reach an audience of engaged readers.
Explore the latest research from the below journals with free access to the 2019 and 2020 volumes - simply click on the journals below to receive free access via this page until 31st October 2020.
The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields.
Journal of Experimental & Theoretical Artificial Intelligence
The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include cognitive science; games; learning; knowledge representation; memory and neural system modelling; perception; and problem-solving.
Applied Artificial Intelligence
Highlighting advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI.
Cybernetics and Systems
Bringing together scientists from diverse disciplines and update them in important cybernetic and systems methods, while drawing attention to novel useful applications of these methods to problems from all areas of research, in the humanities, in the sciences and the technical disciplines.
Spatial Cognition and Computation
This multidisciplinary journal is based on the assumption that the critical issues pertaining to spatial cognition and computation lie at the intersection of a number of disciplines--including cognitive psychology, cognitive science, mathematics and computer science, geography and cartography, animal behavior, neuropsychology, artificial intelligence, philosophy, and planning and architecture.
Dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing.