Human behavior is profoundly affected by the influenceability of individuals and the social networks that link them together. In the sociological context, spread of ideas, ideologies and innovations is often studied to understand how individuals adopt new states in behavior, opinion, ideology or consumption through the influence of their neighbors. In this paper, we study the evolution of opini...

Communication and learning from each other are part of the success of insect societies. Here, we review a spectrum of social information usage in insects--from inadvertently provided cues to signals shaped by selection specifically for information transfer. We pinpoint the sensory modalities involved and, in some cases, quantify the adaptive benefits. Well substantiated cases of social learning...

Personal connections between creators and evaluators of scientific works are ubiquitous, and the possibility of bias ever-present. Although connections have been shown to bias prospective judgments of (uncertain) future performance, it is unknown whether such biases occur in the much more concrete task of assessing the scientific validity of already completed work, and if so, why. This study pr...

When many people say the same thing, the individual is more likely to endorse this information than when just a single person says the same. Yet, the influence of consensus information may be modulated by many personal, contextual and cultural variables. Here, we study the sensitivity of Chinese (N = 68) and Spanish (N = 82) preschoolers to consensus in social decision making contexts. Children...

The introductory essay to this collection correctly observes that there are many "challenges for rapprochement" between anthropology and (the rest of) cognitive science. Still, the possibilities of fruitful interchanges provide some hope for the parties getting back together, at least on an intermittent basis. This response offers some views concerning the "incompatibility" of psychology and an...

This paper presents a conceptual model to allow communities self-detecting fake and inappropriate news on social network sites based on collective intelligence and inspired by Viable Systems Approach. The model is grounded on an extension of the Gruber model (on which Collective Knowlegde Systems are based) which incorporates a Consensus Method typically used in the Group Decision Making.

When autonomous agents attempt to coordinate action, it is often necessary that they reach some kind of consensus. Reaching consensus has traditionally been dealt with in the Distributed Artiicial Intelligence literature via negotiation. Another alternative is to have agents use a voting mechanism; each agent expresses its preferences, and a group choice mechanism is used to select the result. ...

The role of committed minorities in shaping public opinion has been recently addressed with the help of multiagent models. However, previous studies focused on homogeneous populations where zealots stand out only for their stubbornness. Here we consider the more general case in which individuals are characterized by different propensities to communicate. In particular, we correlate commitment w...

This paper studies the effect of boundary value conditions on consensus networks. Consider a network where some nodes keep their estimates constant while other nodes average their estimates with that of their neighbors. We analyze such networks and show that in contrast to standard consensus networks, the network estimate converges to a general harmonic function on the graph. Furthermore, the f...

From 4 to 7 April 2016, 24 researchers from 8 countries and from a variety of academic disciplines gathered in Snekkersten, Denmark, to reach evidence-based consensus about physical activity in children and youth, that is, individuals between 6 and 18 years. Physical activity is an overarching term that consists of many structured and unstructured forms within school and out-of-school-time cont...