Keeping a group of persons or items geographically close together can be challenging task. In this report we consider the continuous self-surveillance of wireless sensor network (WSN) tags attached to individual group members. In such a herding system the tags check whether a given group is “together”, i.e. whether the group members are close to each other. We introduce our specific framework t...

Asset-price bubbles challenge the explanatory and predictive power of standard economic theory, suggesting that neuroeconomic measures should be explored as potential tools for improving the predictive power of standard theory. We begin this exploration by reviewing results from functional magnetic resonance imaging (fMRI) studies of lab asset-price bubbles and herding behavior (i.e., following...

INTRODUCTION Geometrid moths and semi-domesticated reindeer are both herbivores which feed on birch leaves in the subarctic mountain birch forests in northern Fennoscandia. The caterpillars of autumnal and winter moths have episodic outbreaks, which can occasionally lead to extensive defoliation of birch forests. Earlier studies have shown that reindeer have a negative effect on the regeneratio...

Modern dog breeding has given rise to more than 400 breeds differing both in morphology and behaviour. Traditionally, kennel clubs have utilized an artificial category system basedon themorphological similarity andhistorical functionof eachdogbreed. Behavioural comparisons at the breed-group level produced ambiguous results as to whether the historical function still has an influence on the bre...

We study a competition dynamics, based on the minority game, endowed with various substrate network structures. We observe the effects of the network topologies by investigating the volatility of the system and the structure of follower networks. The topology of substrate structures significantly influences the system efficiency represented by the volatility and such substrate networks are show...

Numerous real life problems represents hard optimization problems that cannot be solved by deterministic algorithm. In the past decades various different methods were proposed for these kind of problems and one of the methods are nature inspired algorithms especially swarm intelligence algorithms. Elephant herding optimization algorithm (EHO) is one of the recent swarm intelligence algorithm th...

In this paper I analyze how careerist decision makers aggregate and use information provided by others. I find that decision makers who are motivated by reputation concerns tend to ‘anti-herding’, i.e., they excessively contradict public information such as the prior or others’ recommendations. I also find that some decision makers may deliberately act unilaterally and not consult advisers alth...

We explore the constrained efficient observational learning model — as when individuals care about successors, or are so induced by an informationallyconstrained social planner. We find that when the herding externality is correctly internalized in this fashion, incorrect herds still obtain. To describe behaviour in this model, we exhibit a set of indices that capture the privately estimated so...