Decision making of agents who are members of a society is analyzed from the point of view of quantum decision theory. This generalizes the approach, developed earlier by the authors for separate individuals , to decision making under the influence of social interactions . The generalized approach not only avoids paradoxes , typical of classical decision making based on utility theory, but also explains the error-attenuation effects observed for the paradoxes occurring when decision makers, who are members of a society, consult with each other  increasing in this way the available mutual information  .
The influence of additional information on the decision making of agents , who are interacting members of a society , is analyzed within the mathematical framework based on the use of quantum probabilities. The introduction of social interactions, which influence the decisions of individual agents, leads to a generalization of the quantum decision theory developed earlier by the authors for separate individuals . The generalized approach is free of the standard paradoxes of classical decision theory. This approach also explains the error-attenuation effects observed for the paradoxes occurring when decision makers, who are members of a society, consult with each other , increasing in this way the available mutual information . A precise correspondence between quantum decision theory and classical utility theory is formulated via the introduction of an intermediate probabilistic version of utility theory of a novel form, which obeys the requirement that zero-utility prospects should have zero probability weights .
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is analyzed from the point of view of quantum decision theory. This generalizes the approach,
, is analyzed within the mathematical framework based on the use of quantum probabilities. The introduction of social interactions, which influence the decisions of individual agents, leads to a generalization of the quantum decision theory
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not only avoids paradoxes , typical
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. A precise correspondence between quantum decision theory and classical utility theory is formulated via the introduction of an intermediate probabilistic version of utility theory of a novel form, which obeys the requirement that zero-utility prospects should have zero probability weights