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Collaborative Intelligence and Decentralized Business Community Building–Potentials in Food/Nutrition Sector

机译:食品/营养部门的协作情报和分散业务社区建设潜力

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This paper shows the potential of Luxembourg Slovenian Business Club's applied research in Collaborative Intelligence for building of large decentralized business communities in Food/Nutrition sector and enabling the creation of consortia at developing new business models. Although Food/Nutrition sector, and related communities are dispersed in many ways: geography, traditions, living standard, ideology, taste preferences, etc., eating is one of the most universal activities. Global challenges are pointing at Mega-trends which are opening opportunities for decentralized collaboration along the whole Food/Nutrition value chain. LSBC is looking to transfer its experience with Collaboration on a micro level (use case of community building of local small food producers) to decentralized communities on a large scale. LSBC is exploring community building fostering mechanisms, based on Blockchain technology, by applying principles of AI networks, such as self-regulation, self-learning, and developing concept such as stimulating connecting activity of agents/nodes. The main goal of this research is to establish principles of effective information exchange that will enable the creation of communication tools for optimizing connectivity of decentralized communities.
机译:本文展示卢森堡斯洛文尼亚商务俱乐部在食品/营养部门大型分散商业社区建设的合作情报中的应用研究,并在开发新的商业模式下制定联盟。虽然食品/营养部门和相关社区以多种方式分散:地理,传统,生活标准,意识形态,品味偏好等,饮食是最普遍的活动之一。全球挑战指出了巨型趋势,这些趋势正在开放沿着整个食品/营养价值链的分散协作的机会。 LSBC正在寻求将其经验转移到大型小额食品生产商的微量水平(社区建设的用例)与大规模分散的社区进行协作。 LSBC通过应用AI网络的原则,如自我调节,自学,开发概念,探索诸如刺激代理/节点的连接活动,探索基于区块链技术的社区建设促进机制。本研究的主要目标是建立有效信息交换原则,以便为优化分散社区的连通性而建立通信工具。

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