Results 21 to 30 of about 1,181,906 (288)
Collective behavior of El Farol attendees [PDF]
, 2007 Arthur’s paradigm of the El Farol bar for modeling bounded rationality and inductive behavior is undertaken. The memory horizon available to the agents and the selection criteria they utilize for the prediction algorithm are the two essential variables ...
Atılgan, Ali Rana +2 more
core +5 more sources
eLife, 2021 Automated visual tracking of animals is rapidly becoming an indispensable tool for the study of behavior. It offers a quantitative methodology by which organisms’ sensing and decision-making can be studied in a wide range of ecological contexts.
Tristan Walter, Iain D Couzin
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Behavioral variation across the days and lives of honey bees
iScience, 2022 Summary: In honey bee colonies, workers generally change tasks with age (from brood care, to nest work, to foraging). While these trends are well established, our understanding of how individuals distribute tasks during a day, and how individuals differ ...
Michael L. Smith +5 more
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Stability and Diversity in Collective Adaptation [PDF]
, 2004 We derive a class of macroscopic differential equations that describe collective adaptation, starting from a discrete-time stochastic microscopic model.
Akiyama, Eizo +2 more
core +2 more sources
Life in 2.5D: Animal Movement in the Trees
Frontiers in Ecology and Evolution, 2022 The complex, interconnected, and non-contiguous nature of canopy environments present unique cognitive, locomotor, and sensory challenges to their animal inhabitants.
Roi Harel +43 more
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Social mindfulness is normative when costs are low, but rapidly declines with increases in costs
Judgment and Decision Making, 2021 As a complement to high-cost cooperation as assessed in economic games, the concept of social mindfulness focuses on low-cost acts of kindness. While social mindfulness seems quite natural, performed by many most of the time (reaching a level of 60–70 ...
Christoph Engel, Paul A. M. Van Lange
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DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
eLife, 2019 Quantitative behavioral measurements are important for answering questions across scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to ...
Jacob M Graving +6 more
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Social networks predict the life and death of honey bees
Nature Communications, 2021 Honey bee workers take on different tasks for the colony as they age. Here, the authors develop a method to extract a descriptor of the individuals’ social networks and show that interaction patterns predict task allocation and distinguish different ...
Benjamin Wild +7 more
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Everyone knows what behavior is but they just don’t agree on it
iScience, 2023 Summary: Studying “behavior” lies at the heart of many disciplines. Nevertheless, academics rarely provide an explicit definition of what “behavior” actually is. What range of definitions do people use, and how does that vary across disciplines?
Adam J. Calhoun, Ahmed El Hady
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Sensory collectives in natural systems
eLife, 2023 Groups of animals inhabit vastly different sensory worlds, or umwelten, which shape fundamental aspects of their behaviour. Yet the sensory ecology of species is rarely incorporated into the emerging field of collective behaviour, which studies the ...
Hannah J Williams +13 more
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