2017
IJCAI
IJCAI 2017
Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach
Abstract
We develop the idea of collective intelligence by analysing a range of factors hindering the effectiveness of interactive cognitive agents. We give insights into how to explore the potential of collectives across different cognitive systems (human, animal and machine) and research areas. The endeavour is to bridge the different research disciplines in which collective intelligence might occur and apply the studies of intelligence in AI to other fields, thereby cross-fertilising diverse areas of study ranging from business and management to social sciences and fundamental biology.
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Interdisciplinary Bridge
— Artificial Intelligence and Interdisciplinary
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Keyword Pioneer
— human machine interaction
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Hot Topic Early Bird
— information theory
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio