Consensus dynamics in decentralised multiagent systems are subject to intense studies, and several different models have been proposed and analysed. Among these, the naming game stands out for its simplicity and applicability to a wide range of phenomena and applications, from semiotics to engineering. Despite the wide range of studies available, the implementation of theoretical models in real distributed systems is not always straightforward, as the physical platform imposes several constraints that may have a bearing on the consensus dynamics. In this paper, we investigate the effects of an implementation of the naming game for the kilobot robotic platform, in which we consider concurrent execution of games and physical interferences. Consensus dynamics are analysed in the light of the continuously evolving communication network created by the robots, highlighting how the different regimes crucially depend on the robot density and on their ability to spread widely in the experimental arena. We find that physical interferences reduce the benefits resulting from robot mobility in terms of consensus time, but also result in lower cognitive load for individual agents.
Emergence of Consensus in a Multi-Robot Network: from Abstract Models to Empirical Validation Vito Trianni, Daniele De Simone, Andreagiovanni Reina, Andrea Baronchelli
What will workplaces look like when the most material endowed, technologically literate, formally educated, and globally connected generations reach employment age? Claire gives us an insight into what the future of work could look like with Gen Z and Gen Alpha at the wheel.
Claire Madden is a social researcher who effectively bridges the gap between the emerging generations and the business leaders and educators of today. She is a next-gen expert, fluent in the social media, youth culture, and engagement styles of these global generations, and a professional in interpreting what this means for educators, managers and marketers. With academic qualifications in communications and postgraduate studies in leadership, Claire brings robust, research-based content to her engaging presentations and consulting.
Claire has delivered professional development sessions for school and tertiary teachers, given keynote addresses at conferences as well as board room strategy sessions. From conducting training days for corporate and not for profit clients, to addressing students, training rising leaders and facilitating youth panels, Claire is in a unique position to understand the emerging generations and communicate key engagement strategies.
The theory of evolution links random variation and selection to incremental adaptation. In a different intellectual domain, learning theory links incremental adaptation (e.g., from positive and/or negative reinforcement) to intelligent behaviour. Specifically, learning theory explains how incremental adaptation can acquire knowledge from past experience and use it to direct future behaviours toward favourable outcomes. Until recently such cognitive learning seemed irrelevant to the ‘uninformed’ process of evolution. In our opinion, however, new results formally linking evolutionary processes to the principles of learning might provide solutions to several evolutionary puzzles – the evolution of evolvability, the evolution of ecological organisation, and evolutionary transitions in individuality. If so, the ability for evolution to learn might explain how it produces such apparently intelligent designs.
How Can Evolution Learn? Richard A. Watson, Eörs Szathmáry
Excerpted from a review by Donald Gillies in real-world economics review, issue no. 73: “The central thesis of the book is that because of new technologies (the internet and associated developments), capitalism is in decline and is likely to be replaced within a few decades by an entirely new socio-economic system – PostCapitalism. As Paul …
Building resilience into today’s complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics, and cyber-threats. This study proposes quantitative measures that capture and implement the definition of engineering resilience advanced by the National Academy of Sciences. The approach is applicable across physical, information, and social domains. It evaluates the critical functionality, defined as a performance function of time set by the stakeholders. Critical functionality is a source of valuable information, such as the integrated system resilience over a time interval, and its robustness. The paper demonstrates the formulation on two classes of models: 1) multi-level directed acyclic graphs, and 2) interdependent coupled networks. For both models synthetic case studies are used to explore trends. For the first class, the approach is also applied to the Linux operating system. Results indicate that desired resilience and robustness levels are achievable by trading off different design parameters, such as redundancy, node recovery time, and backup supply available. The nonlinear relationship between network parameters and resilience levels confirms the utility of the proposed approach, which is of benefit to analysts and designers of complex systems and networks.
Operational resilience: concepts, design and analysis Alexander A. Ganin, Emanuele Massaro, Alexander Gutfraind, Nicolas Steen, Jeffrey M. Keisler, Alexander Kott, Rami Mangoubi & Igor Linkov Scientific Reports 6, Article number: 19540 (2016) http://dx.doi.org/10.1038/srep19540
Vanderbilt University researchers took a significant step toward answering longstanding questions about the origins of consciousness with a recent discovery of global changes in how brain areas communicate with one another during awareness.
Allied Media Projects and Detroit People’s Platform are excited to present “12 Recommendations for Detroit Funders,” a set of guidelines for how local foundations can best support transformative community organizing in Detroit. These recommendations are a working draft, which we expect will evolve through ongoing feedback.
Science and common sense are alike grounded in human experience. Yet these ways of thinking about things are often in conflict. Sometimes the simplicity of most commonsense explanations can make it hard to win people over to the complexity and uncertainties of most scientific arguments.
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