Social structure emerges via the interaction between local ecology and individual behaviour.

1. The formation of groups is a fundamental aspect of social organization, but there are still many questions regarding how social structure emerges from individuals making non-random associations. 2. Although food distribution and individual phenotypic traits are known to separately influence social organization, this is the first study, to our knowledge, experimentally linking them to demonstrate the importance of their interaction in the emergence of social structure. 3. Using an experimental design in which food distribution was either clumped or dispersed, in combination with individuals that varied in exploratory behaviour, our results show that social structure can be induced in the otherwise non-social European shore crab (Carcinus maenas). 4. Regardless of food distribution, individuals with relatively high exploratory behaviour played an important role in connecting otherwise poorly connected individuals. In comparison, low exploratory individuals aggregated into cohesive, stable subgroups (moving together even when not foraging), but only in tanks where resources were clumped. No such non-foraging subgroups formed in environments where food was evenly dispersed. 5. Body size did not accurately explain an individual's role within the network for either type of food distribution. 6. Because of their synchronized movements and potential to gain social information, groups of low exploratory crabs were more effective than singletons at finding food. 7. Because social structure affects selection, and social structure is shown to be sensitive to the interaction between ecological and behavioural differences among individuals, local selective pressures are likely to reflect this interaction.

The handaxe and the microscope: individual and social learning in a multidimensional model of adaptation

When individuals learn by trial-and-error, they perform randomly chosen actions and then reinforce those actions that led to a high payoff. However, individuals do not always have to physically perform an action in order to evaluate its consequences. Rather, they may be able to mentally simulate actions and their consequences without actually performing them. Such fictitious learners can select actions with high payoffs without making long chains of trial-and-error learning. Here, we analyze the evolution of an n-dimensional cultural trait (or artifact) by learning, in a payoff landscape with a single optimum. We derive the stochastic learning dynamics of the distance to the optimum in trait space when choice between alternative artifacts follows the standard logit choice rule. We show that for both trial-and-error and fictitious learners, the learning dynamics stabilize at an approximate distance of root n/(2 lambda(e)) away from the optimum, where lambda(e) is an effective learning performance parameter depending on the learning rule under scrutiny. Individual learners are thus unlikely to reach the optimum when traits are complex (n large), and so face a barrier to further improvement of the artifact. We show, however, that this barrier can be significantly reduced in a large population of learners performing payoff-biased social learning, in which case lambda(e) becomes proportional to population size. Overall, our results illustrate the effects of errors in learning, levels of cognition, and population size for the evolution of complex cultural traits. (C) 2013 Elsevier Inc. All rights reserved.

Social and individual learning of helping in humans and other species.

Helping behaviors can be innate, learned by copying others (cultural transmission) or individually learned de novo. These three possibilities are often entangled in debates on the evolution of helping in humans. Here we discuss their similarities and differences, and argue that evolutionary biologists underestimate the role of individual learning in the expression of helping behaviors in humans.

The double-edged sword of social capital: Three essays on entrepreneurship in developing nations

ABSTRACT My study seeks to answer the main question: "how does entrepreneurs' social capital positively and negatively affect their resource mobilization efforts, and exploitation of entrepreneurial opportunity?" To answer this question, I develop a model for examining positive and negative effects of social capital on resource accumulation by entrepreneurs, and the subsequent effect of resource accumulation on the exploitation of entrepreneurial opportunity, and utilize data from Africa to ëmpirically test the relationships in this model. Developing nations are a suitable context because: a) They require entrepreneurship for economic development, b) They have received less attention in management and entrepreneurship research, c) Because of inadequately-developed institutions, entrepreneurs from developing nations face major resource mobilization challenges hence they often turn to their social ties for resources, and d) The communalistic and collectivistic nature of most developing nations -encouraging support and sharing of resources- may help us better understand how society's values and structures may contribute and also deduct firm resources. My study reveals that social capital contributes resources to entrepreneurs in developing nations at a cost that takes away resources, and that more resources but lower costs facilitate entrepreneurial opportunity exploitation. For entrepreneurs in developing nations, large networks, greater shared identity, and more trust are beneficial. To increase chances of raising more resources, entrepreneurs from communalistic societies should include network members from outside their communities. Besides providing financial support, policy-makers should develop training programs and advisory services on configuration of entrepreneurs' networks so as to achieve more resources at a low cost. My study insights can help improve entrepreneurs' resource accumulation efforts and the subsequent growth of their firms, leading to the overall economic growth of developing nations.