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Adaptive Behavior

Adaptive Behavior

Published in Association with International Society for Adaptive Behavior

eISSN: 17412633 | ISSN: 10597123 | Current volume: 32 | Current issue: 6 Frequency: Bi-monthly

Adaptive Behavior is an indexed, international peer reviewed journal that publishes original research and review articles on adaptive behavior in biological systems and autonomous artificial systems.

Since 1992 it has offered ethologists, psychologists, behavioral ecologists, computer scientists, philosophers, neuroscientists, and robotics researchers a forum for discussing new findings as well as for comparing insights and approaches across disciplines. The journal explores mechanisms, organizational principles, and architectures that can be expressed in computational, physical, or mathematical models related to the both the functions and dysfunctions of adaptive behavior.

The journal publishes articles, reviews, short communications, target articles and commentaries addressing challenges in the cognitive and behavioral sciences, and including topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, action selection and behavioral sequences, motivation and emotion, characterization of materials and environments, decision making, collective and social behavior, navigation, foraging, communication and signaling.

This journal is a member of the Committee on Publication Ethics (COPE).

Adaptive Behavior is available on SAGE Journals Online.

Submit your manuscript today at https://mc.manuscriptcentral.com/ad-behav.

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
Alberto Antonioni Carlos III University of Madrid, Spain
Farshad Arvin University of Durham, UK
Nathaniel Barrett University of Navarra, Spain
Massimiliano Cappuccio University of New South Wales, Australia
Anthony Chemero University of Cincinnati, USA
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
Guillaume Dumas University of Montréal, Canada
Ángel E. Tovar National Autonomous University of Mexico, Mexico
Matthew Egbert University of Auckland, New Zealand
Manuel Heras Escribano University of the Basque Country, Spain
The Anh Han Teesside University (School of computing, engineering and digital technologies)
Matej Hoffmann Czech Technical University, Prague
Hiroyuki Iizuka Hokkaido University, Japan
Eduardo J. Izquierdo Indiana University, USA
Mark M. James Okinawa Institute of Science and Technology, Japan
Michael Kirchhoff University of Wollongong, Australia
Julian Kiverstein Amsterdam University Medical Centres, Netherlands
Bruno Lara Autonomous University of the State of Morelos (UAEM), Mexico
Iwin Leenen Universidad Nacional Autónoma de México (National Autonomous University of Mexico)
Tom Lenaerts Université Libre de Bruxelles, Belgium?
Sébastien Lerique Okinawa Institute of Science and Technology, Japan
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
Russell Meyer Chinese Academy of Sciences, China
Geoff Nitschke University of Cape Town, South Africa
Jekaterina Novikova Heriot-Watt University, UK
Karenleigh A. Overmann University of Colorado, USA
Alexandra Siobhan Penn University of Surrey, UK
Andrew Philippides University of Sussex, UK
Germain Poizat Université de Genève, Switzerland
Simon T. Powers University of Stirling, UK
Etienne Roesch University of Reading, UK
Erol Sahin Middle East Technical University, Turkey
Christoph Salge University of Hertfordshire, UK
Ekaterina Sangati Okinawa Institute of Science and Technology, Japan
Jeffrey Schank University of California (UC Davis), USA
Prof Itay Shani Sun Yat Sen University, Zhuhai, China
Pierre Steiner Université de Technologie de Compiègne, France
Serge Thill Donders Institute for Brain, Cognition, and Behaviour, Netherlands
Mario Villalobos Universidad de Tarapacá, Arica, Chile
David White Staffordshire University, UK
Myra S Wilson Aberystwyth University, UK
Xiaofeng Xiong University of Southern Denmark, Denmark
Editorial Board
David H. Ackley University of New Mexico, USA
Michael Arbib University of Southern California, USA
Andrew Barto University of Massachusetts, USA
Manuel G. Bedia University of Zaragoza, Spain
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
Marco Dorigo Free University of Brussels, Belgium
Kenji Doya Okinawa Institute of Science and Technology, Japan
Jörg-Peter Ewert University of Kassel, Germany
Dario Floreano Ecole Polytechnique Fédérale de 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
Verena V. Hafner Humboldt-Universität zu Berlin, Germany
Martin Hanczyc Università degli Studi di Trento, Italy
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
Marek McGann Mary Immaculate College, Ireland
Alvaro Moreno University of the Basque Country (UPV/EHU), Spain
Stefano Nolfi Institute of Cognitive Sciences and Technologies (CNR-ISTC), Italy
Herbert L. Roitblat Mimecast, USA
Francisco C. Santos Universidade de Lisboa, Portugal
J.A. Scott Kelso Florida Atlantic University & Ulster University,USA and Ireland
Olaf Sporns Indiana University, USA
Luc Steels Vrij Universiteit Brussels (VUB), Belgium
Sune Vork Steffensen University of Southern Denmark, Denmark
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
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