AIMC Topic: Social Behavior

Clear Filters Showing 51 to 60 of 157 articles

Analysis of Cattle Social Transitional Behaviour: Attraction and Repulsion.

Sensors (Basel, Switzerland)
Understanding social interactions in livestock groups could improve management practices, but this can be difficult and time-consuming using traditional methods of live observations and video recordings. Sensor technologies and machine learning techn...

Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish.

Biology letters
Understanding the emergence of collective behaviour has long been a key research focus in the natural sciences. Besides the fundamental role of social interaction rules, a combination of theoretical and empirical work indicates individual speed may b...

Instrumental Robots.

Science and engineering ethics
Advances in artificial intelligence research allow us to build fairly sophisticated agents: robots and computer programs capable of acting and deciding on their own (in some sense). These systems raise questions about who is responsible when somethin...

Self-initiations in young children with autism during Pivotal Response Treatment with and without robot assistance.

Autism : the international journal of research and practice
The initiation of social interaction is often defined as a core deficit of autism spectrum disorder. Optimizing these self-initiations is therefore a key component of Pivotal Response Treatment, an established intervention for children with autism sp...

Predicting personality from patterns of behavior collected with smartphones.

Proceedings of the National Academy of Sciences of the United States of America
Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length away, these sensor-rich devices can easily be repurposed to collect rich and extensive records of their users' behaviors (e.g., location, communication, media co...

Rage Against the Machine: Advancing the study of aggression ethology via machine learning.

Psychopharmacology
RATIONALE: Aggression, comorbid with neuropsychiatric disorders, exhibits with diverse clinical presentations and places a significant burden on patients, caregivers, and society. This diversity is observed because aggression is a complex behavior th...

Same father, same face: Deep learning reveals selection for signaling kinship in a wild primate.

Science advances
Many animals rely on facial traits to recognize their kin; however, whether these traits have been selected specifically for this function remains unknown. Using deep learning for face recognition, we present the first evidence that interindividual f...

Strategies to modulate zebrafish collective dynamics with a closed-loop biomimetic robotic system.

Bioinspiration & biomimetics
The objective of this study is to integrate biomimetic robots into small groups of zebrafish and to modulate their collective behaviours. A possible approach is to have the robots behave like sheepdogs. In this case, the robots would behave like a di...

Vulnerable robots positively shape human conversational dynamics in a human-robot team.

Proceedings of the National Academy of Sciences of the United States of America
Social robots are becoming increasingly influential in shaping the behavior of humans with whom they interact. Here, we examine how the actions of a social robot can influence human-to-human communication, and not just robot-human communication, usin...