4,605 research outputs found

    International Academic Symposium of Social Science 2022

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    This conference proceedings gathers work and research presented at the International Academic Symposium of Social Science 2022 (IASSC2022) held on July 3, 2022, in Kota Bharu, Kelantan, Malaysia. The conference was jointly organized by the Faculty of Information Management of Universiti Teknologi MARA Kelantan Branch, Malaysia; University of Malaya, Malaysia; Universitas Pembangunan Nasional Veteran Jakarta, Indonesia; Universitas Ngudi Waluyo, Indonesia; Camarines Sur Polytechnic Colleges, Philippines; and UCSI University, Malaysia. Featuring experienced keynote speakers from Malaysia, Australia, and England, this proceeding provides an opportunity for researchers, postgraduate students, and industry practitioners to gain knowledge and understanding of advanced topics concerning digital transformations in the perspective of the social sciences and information systems, focusing on issues, challenges, impacts, and theoretical foundations. This conference proceedings will assist in shaping the future of the academy and industry by compiling state-of-the-art works and future trends in the digital transformation of the social sciences and the field of information systems. It is also considered an interactive platform that enables academicians, practitioners and students from various institutions and industries to collaborate

    Academic integrity : a call to research and action

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    Originally published in French:L'urgence de l'intĂ©gritĂ© acadĂ©mique, Éditions EMS, Management & société, Caen, 2021 (ISBN 978-2-37687-472-0).The urgency of doing complements the urgency of knowing. Urgency here is not the inconsequential injunction of irrational immediacy. It arises in various contexts for good reasons, when there is a threat to the human existence and harms to others. Today, our knowledge based civilization is at risk both by new production models of knowledge and by the shamelessness of knowledge delinquents, exposing the greatest number to important risks. Swiftly, the editors respond to the diagnostic by setting up a reference tool for academic integrity. Across multiple dialogues between the twenty-five chapters and five major themes, the ethical response shapes pragmatic horizons for action, on a range of disciplinary competencies: from science to international diplomacy. An interdisciplinary work indispensable for teachers, students and university researchers and administrators

    The Impact of Teams in Multiagent Systems

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    Across many domains, the ability to work in teams can magnify a group's abilities beyond the capabilities of any individual. While the science of teamwork is typically studied in organizational psychology (OP) and areas of biology, understanding how multiple agents can work together is an important topic in artificial intelligence (AI) and multiagent systems (MAS). Teams in AI have taken many forms, including ad hoc teamwork [Stone et al., 2010], hierarchical structures of rule-based agents [Tambe, 1997], and teams of multiagent reinforcement learning (MARL) agents [Baker et al., 2020]. Despite significant evidence in the natural world about the impact of family structure on child development and health [Lee et al., 2015; Umberson et al., 2020], the impact of team structure on the policies that individual learning agents develop is not often explicitly studied. In this thesis, we hypothesize that teams can provide significant advantages in guiding the development of policies for individual agents that learn from experience. We focus on mixed-motive domains, where long-term global welfare is maximized through global cooperation. We present a model of multiagent teams with individual learning agents inspired by OP and early work using teams in AI, and introduce credo, a model that defines how agents optimize their behavior for the goals of various groups they belong to: themselves (a group of one), any teams they belong to, and the entire system. We find that teams help agents develop cooperative policies with agents in other teams despite game-theoretic incentives to defect in various settings that are robust to some amount of selfishness. While previous work assumed that a fully cooperative population (all agents share rewards) obtain the best possible performance in mixed-motive domains [Yang et al., 2020; Gemp et al., 2020], we show that there exist multiple configurations of team structures and credo parameters that achieve about 33% more reward than the fully cooperative system. Agents in these scenarios learn more effective joint policies while maintaining high reward equality. Inspired by these results, we derive theoretical underpinnings that characterize settings where teammates may be beneficial, or not beneficial, for learning. We also propose a preliminary credo-regulating agent architecture to autonomously discover favorable learning conditions in challenging settings

    Beyond autonomy: rethinking Europe as a strategic actor

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    Strategic autonomy has become the buzzword of the European policy scene in recent years, with a slew of reports and policy proposals dedicated to the subject, and high-level support among European leaders. But big questions remain about what the concept actually means and what its implications are for Europe and the EU. Drawing on contributions to a recent high-level workshop as well as the five briefings contained in this volume, this report seeks to make the case for moving ‘beyond autonomy’ in five key respects - conceptually, thematically, geographically, temporally, and politically. Only by doing this are we able to move the debate on autonomy forward and highlight a number of key debates and issues on which greater attention from policymakers is needed. This report from LSE IDEAS and the Friedrich Naumann Foundation highlights new directions for policy debate and academic research on the concept of strategic autonomy, all of which take us into new domains

    COVID-19 Outbreak and Beyond

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    The COVID-19 pandemic drastically changed our lifestyle when, on 30 January 2020, the World Health Organization declared the coronavirus disease outbreak a public health emergency of international concern. Since then, many governments have introduced unprecedented containment measures, hoping to slow the spread of the virus. International research suggests that both the pandemic and the related protective measures, such as lockdown, curfews, and social distancing, are having a profound impact on the mental health of the population. Among the most commonly observed psychological effects, there are high levels of stress, anxiety, depression, and post-traumatic symptoms, along with boredom and frustration. At the same time, the behavioral response of the population is of paramount importance to successfully contain the outbreak, creating a vicious circle in which the psychological distress impacts the willingness to comply with the protective measures, which, in turn, if prolonged, could exacerbate the population’s distress. This book includes: i) original studies on the worldwide psychological and behavioral impact of COVID-19 on targeted individuals (e.g., parents, social workers, patients affected by physical and mental disorders); ii) studies exploring the effect of COVID-19 using advanced statistical and methodological techniques (e.g., machine learning technologies); iii) research on practical applications that could help identify persons at risk, mitigate the negative effects of this situation, and offer insights to policymakers to manage the pandemic are also highly welcomed
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