AIMC Topic: Behavior, Animal

Clear Filters Showing 221 to 230 of 281 articles

Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle.

Journal of dairy science
The objective of this study was to use automated activity, lying, and rumination monitors to characterize prepartum behavior and predict calving in dairy cattle. Data were collected from 20 primiparous and 33 multiparous Holstein dairy cattle from Se...

Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems.

PloS one
Collective behaviour is a fascinating and easily observable phenomenon, attractive to a wide range of researchers. In biology, computational models have been extensively used to investigate various properties of collective behaviour, such as: transfe...

Approximate analytical solutions to the double-stance dynamics of the lossy spring-loaded inverted pendulum.

Bioinspiration & biomimetics
This paper introduces approximate time-domain solutions to the otherwise non-integrable double-stance dynamics of the 'bipedal' spring-loaded inverted pendulum (B-SLIP) in the presence of non-negligible damping. We first introduce an auxiliary system...

Investigation of Collective Behaviour and Electrocommunication in the Weakly Electric Fish, Mormyrus rume, through a biomimetic Robotic Dummy Fish.

Bioinspiration & biomimetics
A robotic fish has been developed to create a mixed bio-hybrid system made up of weakly electric fish and a mobile dummy fish. Weakly electric fish are capable of interacting with each other via sequences of self-generated electric signals during ele...

The Si elegans project at the interface of experimental and computational Caenorhabditis elegans neurobiology and behavior.

Journal of neural engineering
OBJECTIVE: In light of recent progress in mapping neural function to behavior, we briefly and selectively review past and present endeavors to reveal and reconstruct nervous system function in Caenorhabditis elegans through simulation.

Maze learning by a hybrid brain-computer system.

Scientific reports
The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the co...

Behavioural plasticity in evolving robots.

Theory in biosciences = Theorie in den Biowissenschaften
In this paper, we show how the development of plastic behaviours, i.e., behaviour displaying a modular organisation characterised by behavioural subunits that are alternated in a context-dependent manner, can enable evolving robots to solve their ada...

Computational Analysis of Behavior.

Annual review of neuroscience
In this review, we discuss the emerging field of computational behavioral analysis-the use of modern methods from computer science and engineering to quantitatively measure animal behavior. We discuss aspects of experiment design important to both ob...

An Integrated Method Based on PSO and EDA for the Max-Cut Problem.

Computational intelligence and neuroscience
The max-cut problem is NP-hard combinatorial optimization problem with many real world applications. In this paper, we propose an integrated method based on particle swarm optimization and estimation of distribution algorithm (PSO-EDA) for solving th...

Cockroaches traverse crevices, crawl rapidly in confined spaces, and inspire a soft, legged robot.

Proceedings of the National Academy of Sciences of the United States of America
Jointed exoskeletons permit rapid appendage-driven locomotion but retain the soft-bodied, shape-changing ability to explore confined environments. We challenged cockroaches with horizontal crevices smaller than a quarter of their standing body height...