The study and simulation of adaptive behavior in natural and artificial systems has always involved the convergence of several disciplines, interests, and methods. Since its inception in 1992, the pages of this journal have reflected a cross-fertilization between the sciences of the artificial, the sciences of living systems, and the sciences of the mind. As a result, Adaptive Behavior has been, and continues to be, a forum for innovative, creative, yet rigorous and peer-reviewed work on complex adaptive systems, robotic and computational investigations of behavior and cognition, as well as novel theoretical developments and applications.

The general mission of Adaptive Behavior has not changed fundamentally even as the journal, like any good adaptive system, assimilates and accommodates to new challenges and open questions. Accordingly, our particular aims are constantly on the move, as they are driven no only by general advances in knowledge, as occurs within any well-defined research discipline, but also by the birth of new research programs out of the stimulating intellectual milieu of interdisciplinary debate and collaboration. A key purpose of this journal is to facilitate such creative work by being the source of new ideas, the forum for novel recombination, and a place to ask difficult questions that are rarely asked at the core of individual disciplines.

Realizing these goals means encouraging high-quality publications and debate in several exciting and emerging research areas. In particular, the journal aims to contribute to the consolidation of new approaches to cognitive science, especially research related to the consolidation of new approaches to cognitive science, especially research related to "4E cognition" (embodied, embedded, extended, and enactive cognition), including the predictive coding framework, autopoietic and sensorimotor theory, as well as dynamical and ecological approaches to psychology. This journal is equally a fitting home for expanding research on the possibilities of intelligence without a central nervous system, such as behavior-based approaches to the origin of life, plant cognition and the adaptive capacities of multi-agent and social systems. Another important area is living technology, which includes morphological computation, deep neural networks, soft robotics, and other advances in the methods and practical applications of bio-inspired robotics and self-optimization. 

In particular, we identify the following research challenges:

- To better understand the adaptive and cognitive capacities of (bio-)chemical systems
- To concretize predictive coding into a framework that can be more easily applied to advancing actual examples of cognitive robotics
- To replicate biological autonomy in artificial systems (or to demonstrate why this cannot be done)
- To determine whether the various new approaches to the science of mind are compatible or, alternatively, to determine their competing predictions
- To better understand what (if any) are the limits of intelligence without a nervous system and intelligence without representations
- To clarify the nature of the normativity inherent in living systems in such a way that it could improve cognitive robotics and living technology
- To better understand the conditions under which multi-agent and social systems generate collective properties that benefit their components
- To search for new materials that allow for more adaptive robot bodies

Contributions that address one or more of these research challenges are particularly welcomed. 

Submissions from the general area of machine learning will be returned without review unless the findings have clear scientific relevance.

Editor in Chief
Tom Froese
Assistant Professor, Okinawa Institute of Science and Technology, Japan
Associate Editors
Eran Agmon
Columbia University, USA
Alberto Antonioni
University College London, UK
Nathaniel Barrett
University of Navarra, Spain
Manuel G. Bedia
University of Zaragoza, Spain
Joost Broekens
Delft University of Technology, Netherlands
Dr Massimiliano Cappuccio
University of New South Wales, Australia
Luisa Damiano
University of Messina, Italy
Ezequiel Di Paolo
University of the Basque Country, Spain
James A. Dixon
University of Connecticut, USA
Dobromir Dotov
McMaster University, Canada
Dr Guillaume Dumas
Institut Pasteur, France
Ángel E. Tovar
National Autonomous University of Mexico, Mexico
Matthew Egbert
University of Auckland, New Zealand
Verena V. Hafner
Humboldt-Universität zu Berlin, Germany
Martin Michael Hanczyc
Università degli Studi di Trento, Italy
Matej Hoffmann
Czech Technical University, Prague
Hiroyuki Iizuka
Hokkaido University, Japan
Eduardo J. Izquierdo
Indiana University, USA
Michael Kirchhoff
University of Wollongong, Australia
Bruno Lara
Autonomous University of the State of Morelos (UAEM), Mexico
Tom Lenaerts
Université Libre de Bruxelles, Belgium?
Lorena Lobo
Universidad a Distancia de Madrid, Spain
Robert Lowe
University of Gothenburg, Sweden
Poramate Manoonpong
University of Southern Denmark, Denmark
Georg Martius
Max Planck Institute for Intelligent Systems, Germany
Marek McGann
University of Limerick, Ireland
Geoff Nitschke
University of Cape Town, South Africa
Jekaterina Novikova
Heriot-Watt University, UK
Andrew Philippides
University of Sussex, UK
Simon T. Powers
Edinburgh Napier University, UK
Etienne Roesch
University of Reading, UK
Erol Sahin
Middle East Technical University, Turkey
Christoph Salge
University of Hertfordshire, UK
Francisco C. Santos
IST, Universidade de Lisboa, Portugal
Jeffrey Schank
University of California (UC Davis), USA
Pierre Steiner
Université de Technologie de Compiègne, France
Serge Thill
Donders Institute for Brain, Cognition, and Behaviour, Netherlands
Patricia A. Vargas
Heriot-Watt University, UK
Mario Villalobos
Universidad de Tarapacá, Arica, Chile
Myra S Wilson
Aberystwyth University, UK
Philipp Zech
University of Innsbruck, Austria
Editorial Board
David H. Ackley
University of New Mexico, USA
Michael Arbib
University of Southern California, USA
Andrew Barto
University of Massachusetts, USA
Randall D. Beer
Indiana University, USA
Rodney A Brooks
Massachusetts Institute of Technology, USA
Joanna J Bryson
University of Bath, UK
Seth Bullock
University of Bristol, UK
Holk Cruse
University of Bielefeld, Germany
Kerstin Dautenhahn
University of Hertfordshire, UK
Daniel Dennett
Tufts University, USA
Marco Dorigo
Université Libre de Bruxelles, Belgium
Kenji Doya
Okinawa Institute of Science and Technology, Japan
Jörg-Peter Ewert
University of Kassel, Germany
Dario Floreano
Swiss Fed. Inst. of Technology (EPFL), Lausanne, Switzerland
Nicolas Franceschini
Centre National de la Recherche Scientifique (CNRS), France
David E. Goldberg
University of Illinois at Urbana - Champaign, USA
John Grefenstette
George Mason University, USA
Stephen Grossberg
Boston University, USA
John Hallam
University of Southern Denmark, Denmark
Inman Harvey
University of Sussex, UK
Phil Husbands
University of Sussex, UK
Daniel D. Hutto
University of Wollongong, Australia
Auke Jan Ijspeert
Ecole Polytechnique Fédérale de Lausanne, Switzerland
Takashi Ikegami
University of Tokyo, Japan
Jean-Arcady Meyer
Institute for Intelligent Systems and Robotics (ISIR), France
Alvaro Moreno
University of the Basque Country (UPV/EHU), Spain
Stefano Nolfi
Institute of Cognitive Sciences and Technologies (CNR-ISTC), Italy
Frank Pasemann
Osnabrück University, Germany
Rolf Pfeifer
Osaka University, Japan
Herbert L. Roitblat
Mimecast, USA
J.A. Scott Kelso
Florida Atlantic University & Ulster University,USA and Ireland
Olaf Sporns
Indiana University, USA
Luc Steels
Vrij Universiteit Brussels (VUB), Belgium
Prof. Jun Tani
Okinawa Institute of Science and Technology, Japan
Frederick M. Toates
The Open University, UK
Peter M Todd
Indiana University, USA
Barbara Webb
University of Edinburgh, UK
Stewart W. Wilson
Prediction Dynamics, USA