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Owing to the complexity of the task and the risks inherent in it, the effectiveness of any organizational buying decision largely depends on the information available for the decision‐makers’ use. Within any typical organization, flow of the information needed in the decision‐making process is influenced by the gatekeepers – the people who link the organization with the outside environment. However, despite the important role played by these people, not much is known about their behavior. This research makes an attempt to study gatekeeping behavior and examine factors which may influence this behavior.

The purpose of this paper is to explore whether attention, emotion, and cognitive regulation (CR) may be strategies to advance one’s ethnic identity.

The paper is presented in three parts. The first section discusses integrative inquiry (INIQ) (Bresciani Ludvik et al., 2016), a mindfulness methodology and mindful inquiry training program, as a potential pathway to help mitigate stress and enhance healthy development and well-being strategies that combat stressors related to ethnic and racial identity; and increase opportunities for positive ethnic identity development. INIQ was designed to influence areas of the brain associated with attention regulation, emotion regulation, and CR in order to decrease stress and anxiety, and heighten executive functions of undergraduate and graduate students. The second section discusses an exploratory study to see whether INIQ resulted in higher mean scores for participants on their ethnic identity, as assessed by the multigroup ethnic identity measure (Phinney, 1992).

The results indicated that there was a significant increase in pre-test and post-test scores for mindfulness (p=0.001) as well as the dependent measure for learning exploration (p=0.028) among 30 undergraduate, master’s- and doctoral-seeking students. There was also a non-significant increase for clear understanding (p=0.15) and overall ethnic identity achievement (p=0.387); and non-significant decrease for ethnic belonging (p=0.424).

These findings suggest that INIQ may increase students’ ethnic learning exploration, which is an important process in ethnic identity development (Phinney and Ong, 2007). This study also suggests that INIQ increases mindfulness in participants. The authors conclude with a discussion and recommendations to future INIQ and other diversity centered student support practitioners interested in influencing positive ethnic identity formation.

In evolutionary robotics (ER), robotic control systems are subject to a developmental process inspired by natural evolution. The purpose of this paper is to utilize a control system representation based on finite state machines (FSMs) to build a decentralized online‐evolutionary framework for swarms of mobile robots.

A new recombination operator for multi‐parental generation of offspring is presented and a known mutation operator is extended to harden parts of genotypes involved in good behavior, thus narrowing down the dimensions of the search space. A storage called memory genome for archiving the best genomes of every robot introduces a decentralized elitist strategy. These operators are studied in a factorial set of experiments by evolving two different benchmark behaviors such as collision avoidance and gate passing on a simulated swarm of robots. A comparison with a related approach is provided.

The framework is capable of robustly evolving the benchmark behaviors. The memory genome and the number of parents for reproduction highly influence the quality of the results; the recombination operator leads to an improvement in certain parameter combinations only.

Future studies should focus on further improving mutation and recombination. Generality statements should be made by studying more behaviors and there is a need for experimental studies with real robots.

The design of decentralized ER frameworks is improved.

The framework is robust and has the advantage that the resulting controllers are easier to analyze than in approaches based on artificial neural networks. The findings suggest improvements in the general design of decentralized ER frameworks.