Atlantis Thinking Machines
Studies in Computational Cognition
ISSN: 1877-3273

Series Editor: Kai-Uwe Kühnberger

Editors: Ben Goertzel, Pei Wang, Pascal Hitzler

Aims and Scope

Initially, the field of Artificial Intelligence (AI) aimed at constructing 'thinking machines' - that is, computer systems with human-like, domain-independent intelligence. But this task proved more difficult than expected. As the years passed, AI researchers gradually shifted focus to producing AI systems that intelligently approached specific tasks in relatively narrow domains, basing their works on earlier research from classical disciplines like psychology, logics, linguistics, and computer science.

During the past few decades however, research in understanding and reproducing human intelligence has expanded from traditional approaches into diverse areas, including disciplines like neurosciences, neuro-informatics, computational linguistics, and - perhaps most importantly - cognitive science. Moreover, new results in research on neural and probabilistic machine learning, dynamical systems, biological processes in and structures of the brain, as well as robotics and large-scale systems are greatly affecting current research in understanding and reproducing human intelligence.

Given the great progress made with these new approaches, more and more researchers from multiple disciplines have recognised the necessity of returning to one of the original goals of AI in the early days, namely to build models of domain-independent intelligence. Increasingly, there is a call to focus less on highly specialised 'narrow AI' problem solving systems, and more on confronting the difficult issues involved in creating 'general AI', i.e. domain-independent intelligence modeling both lower and higher cognitive abilities in one comprising framework. This book series publishes books resulting from theoretical research on and reproductions of general AI. Practically this does not mean to abandon classical findings, but this book series intends to focus on the establishment of new theories and paradigms. At the same time, the series aims at exploring multiple scientific angles and methodologies, certainly including results deriving from research in cognitive science, the neurosciences, theoretical and experimental AI, biology and from innovative interdisciplinary methodologies.

Research fields covered by the series include:

  • Cognitive science, incl. cognitive architecture
  • (Computational) Neuroscience
  • Robotics and autonomous systems
  • Recurrent and Neural networks
  • Learning theories
  • Reasoning and knowledge representation
  • Hybrid systems / neuro-symbolic integration
  • Semantic web, incl. web services, ontologies
  • Grid computing
  • Biological systems
  • (computational) Biology

Publishing information
The series aims at publishing original research monographs. We aim at offering a fast turnaround time so that the volumes in this series will be published in a timely manner. Also, the volumes will be reasonably priced, allowing them to be bought not only by institutional buyers but also by interested individuals, thus exposing the books to the widest possible audience.

All books published after November 2010 are promoted, distributed and sold by Springer, both as e-books and in print. The books are also part of SpringerLink and included in the relevant Springer subject collections.

The series as a whole has as an ISSN-number, where each individual volume will have its own ISBN-number.

Atlantis Press adheres to the principles of Creative Commons, meaning that we do not claim copyright of the work we publish. We only ask people using one of our publications to respect the integrity of the work and to refer to the original location, title and author(s).

See here for more details on the Atlantis Press publishing policy.

If you wish to propose a new book for this series, please fill out the book proposal form.

Titles published
Please see click here to see all titles published in this series.

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