When animals share decisions with others, they pool personal information, offset individual errors and, thereby, increase decision accuracy. This is termed ‘swarm intelligence.’ But what if those decisions involve conflicts of interest between individual decision-makers? Should animals share decisions with individuals whose goals are different from, and partially in conflict with, their own? A group decision model developed by Larissa Conradt and colleagues finds that, contrary to intuition, conflicting goals often increase both decision accuracy and the individual gains derived from (...) shared decisions. Thus, conflicts of interest, far from hampering effective decision making, can actually improve decision outcomes for all stakeholders, as long as they also have some goals in common. By contrast, conflict-free decisions shared by animals which all have the same goals are often surprisingly poor. (shrink)

The resurgence of interest in collective behavior is in large part due to tools recently made available for conducting laboratory experiments on groups, statistical methods for analyzing large data sets reflecting social interactions, the rapid growth of a diverse variety of online self‐organized collectives, and computational modeling methods for understanding both universal and scenario‐specific social patterns. We consider case studies of collective behavior along four attributes: the primary motivation of individuals within the group, kinds of interactions among individuals, typical dynamics (...) that result from these interactions, and characteristic outcomes at the group level. With this framework, we compare the collective patterns of noninteracting decision makers, bee swarms, groups forming paths in physical and abstract spaces, sports teams, cooperation and competition for resource usage, and the spread and extension of innovations in an online community. Some critical issues surrounding collective behavior are then reviewed, including the questions of “Does group behavior always reduce to individual behavior?”“Is ‘group cognition’ possible?” and “What is the value of formal modeling for understanding group behavior?”. (shrink)

The standard epistemic justification for inclusiveness in political decision making is the Condorcet Jury Theorem, which states that the probability of a correct decision using majority rule increases in group size (given certain assumptions). Informally, majority rule acts as a mechanism to pool the information contained in the judgements of individual agents. I aim to extend the explanation of how groups of political agents track the truth. Before agents can pool the information, they first need to find truth-conducive information. Increasing (...) group size is also important in the initial search for truth-conducive information. (shrink)

In this article, I consider how recent work on the philosophy of group-agency and shared-agency can help us to understand what it is for a church to act in worship. I argue that to assess a model’s suitability for providing such an account, we must consider how well it handles cases of non-paradigm participants, such as those with autism spectrum disorder and young infants. I suggest that whilst a shared-agency model helps to clarify how individuals coordinate actions in cases of (...) reading or singing liturgy, it does not handle non-paradigm cases well and so cannot be considered a suitable model of group liturgical action. Instead, I suggest that a model of groupagency, in which a plurality of action types can contribute to the actions of a group as a whole, is better suited to explaining a church’s actions in worship. (shrink)

This article illustrates how axiomatic social choice theory can be used in the evaluation of measures of group fitness for a biological hierarchy, thereby contributing to the dialogue between the philosophy of biology and social choice theory. It provides an axiomatic characterization of the ordering underlying the MichodSolariNedelcu index of group fitness for a multicellular organism. The MVSHN index has been used to analyse the germ-soma specialization and the fitness decoupling between the cell and organism levels that takes place during (...) the evolutionary transition to multicellularity. It is argued that some of the axioms satisfied by the MVSHN group fitness ordering are not appropriate for all stages in this transition. (shrink)