range management needs information on distribution of livestock. the better the distribution of the livestock, the more uniform the use of the rangeland. this study was conducted to record the path of the herd steering by the shepherd. a gps was attached to a three year old ewe which was moving with the flock. the path of flock movement was recorded for three years on a monthly basis during the...

We present a detailed study of the statistical properties of the Agent Based Model introduced in paper I [1] and of its generalization to the multiplicative dynamics. The aim of the model is to consider the minimal elements for the understanding of the origin of the Stylised Facts and their Self-Organization. The key elements are fundamentalist agents, chartist agents, herding dynamics and pric...

With the spread of Covid-19, investors’ expectations changed during 2020, as well financial markets’ policy responses and structure global intermediation itself. These dynamics are studied in this paper, which analyzes quarterly changes herding behavior by quantifying self-similarity intensity six stock markets Asia Europe. A multifractal detrended fluctuation analysis (MFDFA) is applied, using...

BACKGROUND The Arctic area is a part of the globe where the increase in global temperature has had the earliest noticeable effect and indigenous peoples, including the Swedish reindeer herding Sami, are amongst the first to be affected by these changes. OBJECTIVE To explore the experiences and perceptions of climate change among Swedish reindeer herding Sami. STUDY DESIGN In-depth interview...

Abstract: In order to solve the cooperation of autonomous agent systems,an artificial immune network cooperation algorithm is proposed,which is based on Jerne’s idiotypic immune network hypothesis. A sheepdog herding problem is taken as an example. The relative position information of dogs with the sheep and sheep pen is taken as an antigen. Dogs’ action is taken as an antibody. We calculate an...

We investigate the impact of an exogenous environment on the emergence of social herding of economic sentiment. An interactions-driven dynamics of economic sentiment is modeled by an Ising model on a large (two-dimensional) square lattice. The individual states are called optimism and pessimism. The exogenous environment is modeled as a sequence of random events, which might have a positive or ...

Herding defines a deterministic dynamical system at the edge of chaos. It generates a sequence of model states and parameters by alternating parameter perturbations with state maximizations, where the sequence of states can be interpreted as “samples” from an associated MRF model. Herding differs from maximum likelihood estimation in that the sequence of parameters does not converge to a fixed ...

Many scholars express concerns that herding behaviour causes excess volatility, destabilises financial markets, and increases the likelihood of systemic risk. We use a special formof the Strongly TypedGenetic Programming (STGP) technique to evolve a stockmarket divided into two groups—a small subset of artificial agents called ‘Best Agents’ and a main cohort of agents named ‘All Agents’. The ‘B...