Reflections on Neuro-Absenteeism Decision Computational Modeling
Posted: 27 Mar 2014
Date Written: March 27, 2014
Absenteeism decision-making is a path of action in choosing among alternative courses available for solving complex problems where multi-criteria objectives are concerned. Recent decade has witnessed a rising acknowledgment of computing methods that trigger the formation, blueprint and exploitation of intelligent systems. Not enough works have been done where researchers have applied intelligent techniques and heuristics to achieve optimal absenteeism decisions from inexact information. Brain modularity is a key concept that challenges analysis of lone rational self. Imaging provides exciting parallel between psychosomatic procedures of brain activity. The correlation between well-identified neural measures is an exception, not the rule. In most experiments, communication is more indefinite and interpretation is problematical. Multi-process postulation of absenteeism decision-making relies on existence of numerous brain systems interacting to revisit typical paradigms of absenteeism decision. Value-based absenteeism decision-making is a multifaceted procedure that requires deployment of five fundamental computations. One, depiction of absenteeism decision problem is constructed. This necessitates recognition of potential courses of action. Two, value is assigned to different actions under deliberation. To formulate sound absenteeism decisions, values be aligned with pay offs connected with each action. Three, valuation is judged to make a preference. Four, after implementing absenteeism decision, brain calculates desirability of upshot that tag along. Last, this is used to revise future absenteeism decisions. These provide rational putrefaction of absenteeism decision-making into its fused parts. In this paper, we present a selective analysis of current research in this area. We focus on models rather than computational models expansively used in computational neuroscience.
Keywords: Neuro-Absenteeism, Decision Computational Modeling
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