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Methodological individualism underpins economic analysis. In his paper in this volume, however, Douglas Glen Whitman demonstrates that group selection can be reconciled with methodological individualism. This essay extends Whitman’s analysis in two ways. First, it summarizes and restates the necessary conditions for group selection to play a role in the evolution of human preferences and societies. Second, it discusses the role of group selection in Hayek’s thought, with a particular focus on the role of group selection in the evolution of legal rules and the rule of law. The viability of group selection is demonstrated to be an empirical question.

Darwin’s theory of natural selection, which explains how individual organisms can become exquisitely adapted to their environments, does not explain the evolution of adaptive societies with equal ease. To understand the nature of the problem, imagine a mutant individual who behaves in a way that increases the survival of everyone in her society, including herself, to an equal degree. Such a “no-cost public good” might not appear very feasible (and will soon be amended), but is useful for illustrative purposes. By increasing the fitness of everyone, the mutant trait will not increase in frequency within the society (other than by drift, which can equally cause a decrease in frequency). This example illustrates the elementary fact that natural selection is based on relative fitness. It’s not enough for a mutant trait to increase its own survival and reproduction; it must do so more than alternative traits in the population. The relative nature of fitness makes the evolutionary forces within a population insensitive to the welfare of the population as a whole.

Whitman argues that group selection is consistent with methodological individualism. He begins by defining a weak form of methodological individualism in which agents are not necessarily self-interested or rational and shows that this form is consistent with Sober and Wilson’s model of group selection. However, Sober and Wilson’s group selection is also consistent with a methodological individualism in which the individuals are rational and self-interested, and consistent with individual selection as well. A version of group selection similar to what Hayek may have had in mind when he talked about groups out-competing other groups is presented, however, this is not a version of group selection that is compatible with methodological individualism.

Various authors allege that the theory of group selection is inconsistent with methodological individualism, and therefore analysts must reject at least one of these principles. The present article argues for their compatibility. The meaning of methodological individualism is clarified, and the new version of group selection (articulated by Wilson & Sober, 1994, 1998) is explained. The two principles are then incorporated into a single methodological approach. Group selection affects the assumptions made about the kind of individuals who populate social scientific models, while methodological individualism requires models’ conclusions to follow from the actions and interactions of those individuals.

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.

In this paper, we propose that the “powerful and privileged” sustain their way of life through greed and they sustain the lives of others through trickledown sharing. Greed provides the powerful and privileged a buffer against famine. Trickledown sharing provides them a buffer against predation or war. The inspiration for this integration of greed and trickledown sharing as self-preservation strategies is a multi-selection model called skew selection. According to skew selection, when perennial organisms are subjected to cycles of famine and predation, greed and trickledown sharing increases the organism’s survival relative to a greed-only strategy. Skew selection is extended to explain greed and trickledown sharing among humans through the introduction of mogul games. The results of mogul games reported herein suggest that inequality is an emergent property of self-organizing systems and potentially an essential precursor to the evolution of social behavior. In the future, it is our hope that mogul game simulations will be employed by others to explore the effect of variation in cycles of predation and resource abundance on the rules of greed (resource acquisition) and trickledown sharing (resources redistribution).

Complex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus decision making method for cloud services selection with knowledge deficit by trust functions.

This article proposes a knowledge deficit-based multi-criteria group decision-making (MCGDM) method for cloud-service selection based on trust functions. Firstly, the concept of trust functions and a ranking method is developed to express the decision-making opinions. Secondly, a novel 3D normalized trust degree (NTD) is defined to measure the consensus levels. Thirdly, a knowledge deficit-based interactive consensus model is proposed for the inconsistent experts to modify their decision opinions. Finally, a real case study has been carried out to illustrate the framework and compare it with other methods.

The proposed method is practical and effective which is verified by the real case study. Knowledge deficit is an important concept in cloud service selection which is verified by the comparison of the proposed recommended mechanism based on KDD with the conventional recommended mechanism based on average value. A 3D NTD which considers three values (trust, not trust and knowledge deficit) is defined to measure the consensus levels. A knowledge deficit-based interactive consensus model is proposed to help decision-makers reach group consensus. The proposed group consensus model enables the inconsistent decision-makers to accept the revised opinions of those with less knowledge deficit, rather than accepting the recommended opinions averagely.

The proposed a knowledge deficit-based MCGDM cloud service selection method considers group consensus in cloud service selection. The concept of knowledge deficit is considered in modeling the group consensus measuring and reaching method.

The purpose of this paper is to examine teachers’ perspectives on school leaders’ selection and development strategies in order to propose/recommend strategies that are relevant to the context of the United Arab Emirates.

The study gathered data through group discussion of school teachers who attended the module “leadership for school improvement” taught by the researchers. The teachers who participated in this study include local and expat teachers who are currently working in both public and private schools in the UAE. The reports of the group discussion were used as transcripts and thematic analysis was used to analyse the results.

The results indicate that there is a strong aspiration for setting better standards for the selection of the school leaders. There is great interest in engaging experts and instrumenting accredited continued professional development training on developing school leaders. The respondents emphasised on the required qualifications, experiences and knowledge, and the need for mentorship approach.

The key limitation of the study is the smaller sample size.

The outcome of the study offers necessary insight to the decision makers on the selection and development of school leaders in the UAE.

The study insists that the social and cultural values of the UAE to be considered in the selection and development of school leaders in the UAE.

The study offers potential gap and scope for further research on school leadership in the UAE that could be further explored with many samples and cases for broader understanding.