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Journal Photo for Adaptive Behavior
Peer reviewed only Open Access

Adaptive Behavior (AB)

Publisher : SAGE
Cognitive science Artificial intelligence Robotics
e-ISSN 1741-2633
p-ISSN 1059-7123
Issue Frequency Bi-Monthly
Est. Year 1992
Mobile 18054990721
Language English
APC YES
Email subscriptions@sagepub.co.uk

Journal Descriptions

Adaptive Behavior is an international peer-reviewed journal that focuses on the study of adaptive systems in both biological and artificial domains. It explores how behavior emerges, evolves, and adapts in complex environments, integrating perspectives from cognitive science, robotics, artificial intelligence, neuroscience, and ethology. The journal is widely recognized for its interdisciplinary approach to understanding adaptive intelligence in natural and synthetic systems. The journal publishes original research articles, theoretical frameworks, experimental studies, and computational models that investigate adaptive processes in animals, humans, and autonomous machines. Key themes include learning systems, sensorimotor coordination, evolutionary robotics, neural network models, swarm intelligence, and biologically inspired computation. It also covers human–robot interaction and the development of intelligent agents capable of self-organization and environmental adaptation. Adaptive Behavior plays an important role in bridging biological understanding of behavior with engineering approaches in AI and robotics. It provides a platform for researchers developing models that explain how adaptive intelligence arises and how it can be replicated in artificial systems. The journal encourages cross-disciplinary collaboration and contributes significantly to advancements in autonomous systems and cognitive robotics.

Adaptive Behavior (AB) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Cognitive science, Artificial intelligence, Robotics, Autonomous systems, Computational neuroscience, Animal behavior modeling, Machine learning for adaptive systems, Bio-inspired computation, Evolutionary robotics, Human–robot interaction, learning systems, sensorimotor coordination, evolutionary robotics, neural network models, swarm intelligence, biologically inspired computation , Online or Print , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1059-7123, E-ISSN: 1741-2633, Established: 1992,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE