System and method for aiding decision
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United States of America Patent
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Sep 14, 2021
Grant Date -
Dec 6, 2018
app pub date -
Nov 24, 2016
filing date -
Nov 27, 2015
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Abstract
A decision aid method for determining an action to be implemented by a given competitive entity in a competitive system comprises the competitive entity and at least one other adverse competitive entity, the competitive entity being able to implement an action from among a set of predefined actions, each action providing a different expected gain as a function of the actions implemented by the adverse competitive entities. Each entity is furthermore able to implement a learning procedure from among a set of predefined learning procedures to learn the actions of the adverse entities, associating with each learning procedure an elementary probability function assigning a probability parameter to each possible action of the given competitive entity; determining a global probability function assigning a probability parameter to each elementary probability function; selecting one of the elementary probability functions by using the global probability function; and applying the selected elementary probability function to determine an action from among the actions implementable by the given competitive entity.
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