Field experiments with wild primates reveal no consistent dominance-based bias in social learning

Recency, Consistent Learning, and Nash Equilibrium Learning with Recency Bias

We examine the long-run implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs, and that both have a weighted universal consistency property. Using the limited memory model we are able to produce learning procedures that are both weighted universally consistent and converge with probability one to strict N...

Opinion Bias Detection with Social Preference Learning in Social Data

In this paper, the authors propose a novel bias detection method based on social preference learning for targets on competing topics such as “GalaxyTab vs. iPad” in Twitter. People tend to evaluate a topic by expressing their opinions towards the associated targets such as price and quality. To exploit characteristics of social data, targets are extracted by a modified HITS algorithm on a tripa...

On-board recordings reveal no jamming avoidance in wild bats.

Animals often deal with situations in which vast sensory input is received simultaneously. They therefore must possess sophisticated mechanisms to select important input and ignore the rest. In bat echolocation, this problem is at its extreme. Echolocating bats emit sound signals and analyse the returning echoes to sense their environment. Bats from the same species use signals with similar fre...

Experiments with Non-human Primates

J Rehabil Med Suppl 41, 2003 DOI 10.1080/16501960310010124 In this laboratory we have developed a set of techniques that randomized controlled studies indicate can substantially reduce the motor deficit of patients with mild to moderately severe chronic strokes. The techniques, termed Constraint-Induced Movement therapy (CI therapy), involve motor restriction of the less-affected arm while at t...

Experiments with a Social Learning Model