In this paper, we describe work that begins to address some of the issues related to developing an autonomous mobile robotic capability to assist humans with herding animals. A novel aspect of this work is the development of a capability to convey instructions to the robot via movements of a “toy human.” In this work, no other explicit form of communication from the human to the robot is requir...

We show that the algorithm by Batra et al. (2012) to extract diverse M -solutions from a Conditional Random Field (called divMbest) takes exactly the form of a Herding procedure (Welling, 2009b), i.e. a deterministic dynamical system that produces a sequence of solutions that respect a set of observed moment constraints. This generalization enables us to invoke properties of Herding that show t...

We propose Mote Herding, a new system architecture for large scale, heterogeneous sensor networks. Mote herding uses a mix of many 8-bit sensor nodes (motes) and fewer but more powerful 32-bit sensor nodes (microservers). Mote herding groups motes into flocks that are connected via a multihop network to a microserver acting as a shepherd. Shepherds exploit their greater communications and compu...

This paper studies the investment behavior and performance of contrarian mutual funds, as well as the performance of stocks widely held and traded by such funds over the 1994 to 2006 period. We define a “contrarian fund” as a fund that trades in a direction opposite to mutual fund “herds” much more frequently than the average fund. We find that contrarian funds tend to persist in trading agains...

In many areas across Siberia, the reindeer herding economy of the native people went into a deep recession during the post-Soviet transition of the 1990s. However, as a larger cross-section of data indicates, the reindeer stock decline is not a universal phenomenon. Nor is the present-day crisis in native Siberian herding economies an unprecedented event, as pastoralists did suffer tremendously...

• We assess herding in conventional cryptocurrencies, NFT and DeFi digital assets; No evidence of static herding; Time-varying is identified cryptocurrencies markets exhibit only during low volatility days; Cryptocurrency bubble 2021 has not amplified herding. examine the time-varying behavior three cryptocurrency classes: ‘conventional’ non-fungible tokens, assets most recent 2021. While analy...

The recently discovered two-phase phenomenon in financial markets [Nature 421, 130 (2003)] is examined with the German financial index DAX, minority games, and dynamic herding models. It is observed that the two-phase phenomenon is an important characteristic of financial dynamics, independent of volatility clustering. An interacting herding model correctly produces the two-phase phenomenon.

We look into determinants (volatility, crises, sentiment and the U.S. ‘fear’ index) of herding using BRICS as our sample. Investors herd selectively to crises is a short-lived phenomenon. Herding was highest during global financial crisis (only China affected). There no European debt COVID. With regard relationship between volatility CSAD (cross sectional absolute deviation)/herding, lower (mov...

BACKGROUND China has become the world's second largest healthcare market based on a recent report by the World Health Organization. Eventhough China achieved universal health insurance coverage in 2011, representing the largest expansion of insurance coverage in human history achieved; health inequality remains endemic in China. Lessons from the effect of market crisis on health equity in Europ...

A model is developed which implies that if an analyst has high reputation or low ability, or if there is strong public information that is inconsistent with the analyst's private information, she is likely to herd. Herding is also common when informative private signals are positively correlated across analysts. The model is tested using data from analysts who publish investment newsletters. Co...