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Collective decision-making
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AI
DOI：10.1016/j.cobeha.2017.03.004.png)
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摘要
En 中文
Collective decision-making is the subfield of collective behaviour concerned with how groups reach decisions. Almost all aspects of behaviour can be considered in a decision-making context, but here we focus primarily on how groups should optimally reach consensus, what criteria decision-makers should optimise, and how individuals and groups should forage to optimise their nutrition. We argue for deep parallels between understanding decisions made by individuals and by groups, such as the decision-guiding principle of value-sensitivity. We also review relevant theory and empirical development for the study of collective decision making, including the use of robots.
Keyword:
CROSS INHIBITION
ROBOTS
INDIVIDUALS
CONSENSUS
MODELS
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期刊
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3.5
论文数:
1.3K
被引数:
6.6K
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