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Adaptive Behavior is a peer-reviewed journal published by SAGE, covering Embodied and Extended Cognition, Neural dynamics and brain function, Evolutionary Game Theory and Cooperation.
| Publisher | SAGE |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Adaptive Behavior, 12(3), pp. 45–58.
Formats any DOI in Adaptive Behavior style. No sign-up. |
| Publishes research in | Embodied and Extended Cognition Neural dynamics and brain function Evolutionary Game Theory and Cooperation Action Observation and Synchronization Reinforcement Learning in Robotics |
| ISSN | 1059-7123 |
| Citation impact (2-yr) | 1.48 |
| h-index | 82 |
| i10-index | 466 |
| Total citations | 28,167 |
| Top institutions publishing here | University of Sussex |
| Journal website | www.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This article describes a novel method of achieving load balancing in telecommunications networks. A simulated network models a typical distribution of calls between nodes; nodes carrying an excess of traffic can become congested, causing calls to be lost. In addition to calls, the network also supports a population of simple mobile agents with behaviors modeled…
We would like the behavior of the artificial agents that we construct to be as well-adapted to their environments as natural animals are to theirs. Unfortunately, designing controllers with these properties is a very difficult task. In this article, we demonstrate that continuous-time recurrent neural networks are a viable mechanism for adaptive agent control and…
Notions of embodiment, situatedness, and dynamics are increasingly being debated in cognitive sci ence. However, these debates are often carried out in the absence of concrete examples. In order to build intuition, this paper explores a model agent to illustrate how the perspective and tools of dynam ical systems theory can be applied to the…
The concept of agency is of crucial importance in cognitive science and artificial intelligence, and it is often used as an intuitive and rather uncontroversial term, in contrast to more abstract and theoretically heavily weighted terms such as intentionality , rationality, or mind. However, most of the available definitions of agency are too loose or…
Several researchers have demonstrated how complex action sequences can be learned through neuroevolution (i.e., evolving neural networks with genetic algorithms). However, complex general behavior such as evading predators or avoiding obstacles, which is not tied to specific environments, turns out to be very difficult to evolve. Often the system discovers mechanical strategies, such as moving…
