Results 21 to 30 of about 5,439,813 (253)

Collective Trust Behavior [PDF]

, 2010
This paper investigates trust behavior in situations where decision-makers are large groups and the decision mechanism is collective. Theories from behavioral economics and psychology suggest that trust in such situations may differ from interindividual ...
Hakan J. Holm, Holm, H.J,, Holm, Jerker, Nystedt, Paul,, Nystedt, Paul, Paul Nystedt, Holm, Hakan J,, Holm, Jerker,, Lund University.   +8 more
core   +2 more sources

Evolving collective behavior in an artificial ecology [PDF]

, 2001
Collective behavior refers to coordinated group motion, common to many animals. The dynamics of a group can be seen as a distributed model, each “animal” applying the same rule set.
Christopher R. Ward, Fernand Gobet, Graham Kendall, Kendall, G, Ward, CR, Gobet, F   +5 more
core   +1 more source

The performance of field sampling for parasite detection in a wild passerine

Ecology and Evolution, 2022
Parasites can impact the behavior of animals and alter the interplay with ecological factors in their environment. Studying the effects that parasites have on animals thus requires accurate estimates of infections in individuals.
Salamatu Abdu, Michael Chimento, Gustavo Alarcón‐Nieto, Daniel Zúñiga, Lucy M. Aplin, Damien R. Farine, Hanja B. Brandl   +6 more
doaj   +1 more source

Collective Animal Behavior from Bayesian Estimation and Probability Matching [PDF]

, 2011
Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in animal collectives is based on empirical fits to observations and we lack ...
de Polavieja, Gonzalo, G, Gonzalo de Polavieja, García de Polavieja, Gonzalo, Gonzalo G. de Polavieja, Alfonso Perez-Escudero, Pérez-Escudero Alfonso, Pérez-Escudero, Alfonso, Gonzalo G de Polavieja, de Polavieja Gonzalo G., de Polavieja, Gonzalo G.   +9 more
core   +1 more source

Collective behavior of swarmalators on a ring [PDF]

Physical Review E, 2022
We study the collective behavior of swarmalators, generalizations of phase oscillators that both sync and swarm, confined to move on a one-dimensional (1D) ring. This simple model captures the essence of movement in two or three dimensions, but has the benefit of being solvable: most of the collective states and their bifurcations can be specified ...
Kevin O'Keeffe, Steven Ceron, Kirstin Petersen   +2 more
openaire   +2 more sources

Social modulation of individual preferences in cockroaches

iScience, 2021
Summary: In social species, decision-making is both influenced by, and in turn influences, the social context. This reciprocal feedback introduces coupling across scales, from the neural basis of sensing, to individual and collective decision-making ...
Yannick Günzel, Jaclyn McCollum, Marco Paoli, C. Giovanni Galizia, Inga Petelski, Einat Couzin-Fuchs   +5 more
doaj   +1 more source

TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields

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
doaj   +1 more source

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, Jacob D. Davidson, Benjamin Wild, David M. Dormagen, Tim Landgraf, Iain D. Couzin   +5 more
doaj   +1 more source

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, Daniel Chae, Hemal Naik, Liang Li, Benjamin Koger, Blair R Costelloe, Iain D Couzin   +6 more
doaj   +1 more source

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, Roi Harel, Shauhin Alavi, Shauhin Alavi, Shauhin Alavi, Alison M. Ashbury, Alison M. Ashbury, Jillian Aurisano, Tanya Berger-Wolf, Tanya Berger-Wolf, Tanya Berger-Wolf, Tanya Berger-Wolf, Grace H. Davis, Grace H. Davis, Grace H. Davis, Grace H. Davis, Grace H. Davis, Ben T. Hirsch, Ben T. Hirsch, Urs Kalbitzer, Urs Kalbitzer, Urs Kalbitzer, Roland Kays, Roland Kays, Roland Kays, Kevin Mclean, Chase L. Núñez, Chase L. Núñez, Chase L. Núñez, Alexander Vining, Alexander Vining, Alexander Vining, Alexander Vining, Zea Walton, Zea Walton, Zea Walton, Rasmus Worsøe Havmøller, Rasmus Worsøe Havmøller, Margaret C. Crofoot, Margaret C. Crofoot, Margaret C. Crofoot, Margaret C. Crofoot, Margaret C. Crofoot, Margaret C. Crofoot   +43 more
doaj   +1 more source