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  1. The mechanics of implicit learning of contingencies: A commentary on Custers & Aarts' paper.Baruch Eitam - 2011 - Consciousness and Cognition 20 (2):379-381.
    In their paper: “Learning of Predictive Relations Between Events Depends on Attention, Not on Awareness” Custers & Aarts demonstrate that when one is first exposed to a clear predictive relationship – a consequent predictive relationship will be represented as a unidirectional association in the percievers’ minds regardless of their awareness of that relationship. Furthermore, a conscious intention to learn the relationship leads to the formation of a bidirectional association. While these findings may prove to be a significant step in understanding (...)
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  • Learning of predictive relations between events depends on attention, not on awareness.Ruud Custers & Henk Aarts - 2011 - Consciousness and Cognition 20 (2):368-378.
    It is generally assumed that storing predictive relations between two events in memory as bi-directional associations does not require conscious awareness of this relation, whereas the formation of unidirectional associations that capture the direction of the relation does. This study reports a set of experiments demonstrating that unidirectional associations can be formed even when awareness of the relation is actively prevented, if attention is “tuned” to process predictive relations. When participants engaged in predicting targets based on cues in an unrelated (...)
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  • A role for consciousness in action selection.Joanna J. Bryson - 2012 - International Journal of Machine Consciousness 4 (2):471-482.
  • A Role for Consciousness in Action Selection.Joanna J. Bryson - 2012 - International Journal of Machine Consciousness 4 (2):471--482.
    This article argues that conscious attention exists not so much for selecting an immediate action as for using the current task to focus specialized learning for the action-selection mechanism and predictive models on tasks and environmental contingencies likely to affect the conscious agent. It is perfectly possible to build this sort of a system into machine intelligence, but it would not be strictly necessary unless the intelligence needs to learn and is resource-bounded with respect to the rate of learning versus (...)
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