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Abstract

The Simulation of Adaptive Behavior (SAB) conference has a long tradition of bringing together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, and evolutionary biology. Starting in 1990 and meeting every 2 years, it recently convened the 17^th meeting in Irvine, California, USA. The goal of this meeting, which is called From Animals to Animats, is to further our understanding of the behaviors and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. We asked several contributors of highly regarded presentations to submit an extended version of their work to this Special Issue of Adaptive Behavior. The articles included in this volume reflect the interdisciplinary nature of SAB, as well as the overarching theme of SAB to draw inspiration from biology.

Keywords

adaptive behavior biological inspiration collective behavior human behavior navigation prediction problem solving value systems

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References

Brock

Krichmar

J. L.

(2025). From animals to animats 17. 17th international conference on simulation of adaptive behavior, SAB 2024 Irvine, CA, USA Lecture Notes in Artificial Intelligence. Springer Nature. 33, 273–277. https://doi.org/10.1177/10597123251378311

Espino

Krichmar

J. L.

(2025). Goal-Oriented Navigation Using a Model of Directionally-Polarized Place Cells. Adaptive Behavior, 33(5-6), 279–290. https://doi.org/10.1177/10597123251364749

Kang

Anand

Park

J. H.

Choe

(2025). Evolutionary Factors Contributing to the Emergence of Prediction. Adaptive Behavior, 33(5-6), 307–319. https://doi.org/10.1177/10597123251364746

Krichmar

J. L.

Snook

J. A.

Edelman

G. M.

Sporns

(2000). Experience-dependent perceptual categorization in a behaving real-world device. From Animals to Animats. The MIT Press, 6, pp. 41–50.

Meyer

J. A.

Alain Berthoz

D. F.

Roitblat

H. L.

Wilson

S. W.

(2000). From animals to animats 6: Proceedings of the sixth international conference on simulation of adaptive behavior. The MIT Press.

Meyer

J. A.

LRoitblat

WWilson

(1994). From animals to animats 2: Proceedings of the second international conference on simulation of adaptive behavior. The MIT Press, Vol. 6.

Meyer

J. A.

Wilson

S. W.

(1991). From animals to animats: Proceedings of the first international conference on simulation of adaptive behavior. The MIT Press.

Ormond

O’Keefe

(2022). Hippocampal place cells have goal-oriented vector fields during navigation. Nature, 607(7920), 741–746. https://doi.org/10.1038/s41586-022-04913-9

Papadopoulou

Hildenbrandt

Hemelrijk

C. K.

(2025). A Data-Inspired Framework to Simulate Collective Behaviour of Predator-Prey Systems. Adaptive Behavior, 33(5-6), 291–305. https://doi.org/10.1177/10597123251364750

10.

Petković

Frenkel

Hellwich

Lazarides

(2025). Modeling Teacher Nonverbal Immediacy: Refinement and Analysis. Adaptive Behavior, 33(5-6), 347–363. https://doi.org/10.1177/10597123251374920

11.

Ramírez-Ruiz

Ebitz

R. B.

(2025). Noisy Memory Generates Value in Changing Environments. Adaptive Behavior, 33(5-6), 333–345. https://doi.org/10.1177/10597123251372839

12.

Zenkri

Bolenz

Pachur

Brock

(2025). Human exploration in complex problem-solving tasks: More effortful interaction leads to higher efficiency. Adaptive Behavior, 33(5-6), 321–332. https://doi.org/10.1177/10597123251364738

From Animals to Animats: The Tradition Continues

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