Energy efficiency and error resilience in coordinated and non-coordinated medium access control protocols

How to Learn from the Resilience of Human-Machine Systems?

“…The concept of resilience was next developed in the field of ecology and characterises natural systems that tend to maintain their integrity when subject to disturbances (Ludwig et al, 1997). It has generated much interest in different communities and has been applied to: psychology, psychiatry (Goussé, 2005), sociology, economy, biology (Orwin and Wardle, 2004;Pérez-España and Sánchez, 2001), informatics (Chen et al, 2007;Nakayama et al, 2007;Luo and Yang, 2007), automatic (Numanoglu et al, 2006).…”

“…-Using non-affected elements to compensate and achieve the functions of parts affected (Chen et al, 2007;Nakayama et al, 2007;Numanoglu et al, 2006). What works compensates what does not; -Maintaining the system between minimum and maximum thresholds (acceptability domain) rather than a stability value (Martin, 2005); -Putting critical elements in redundancy (Luo and Yang, 2007).…”

How to learn from the resilience of Human–Machine Systems?

“…The concept of resilience has also been developed in the field of ecology and is used to characterise natural systems that tend to maintain their integrity when subjected to disturbances (Ludwig et al, 1997). It has generated a lot of interest in different scientific communities and has been applied to psychology, psychiatry (Goussé, 2005), sociology, economy, biology (Orwin and Wardle, 2004;Pérez-España and Sánchez, 2001), computer sciences Nakayama et al, 2007;Luo and Yang, 2007), and automation (Tianfield and Unland, 2004;Neema et al, 2004;Numanoglu et al, 2006).…”

“…Using non-affected elements to compensate and accomplish the functions of the affected or degraded parts Nakayama et al, 2007;Numanoglu et al, 2006), with what works compensating for what does not work;  Maintaining the system between the minimum and maximum thresholds of acceptability or perturbation management instead of a stable point or value (Martin, 2005);  Putting critical elements in redundancy (Luo and Yang, 2007), with the affected elements no longer being solicited and being replaced by redundant components;  Optimizing the mitigation of the perturbations when the redundancy strategy is too expensive (Neema et al, 2004;Tianfield and Unland, 2004), thus developing fault resilient systems;  Applying the principles of cooperation (Vanderhaegen, 1997(Vanderhaegen, , 1999aHsieh, 2009;, with cooperation between humans and/or artificial agents facilitating the problem-solving for new situations;  Developing systems or databases based on feedback in order to copy successful practices and learn from failed practices (Vanderhaegen, 2010a);  Activating the required resources by managing performance evolution and decision-maker autonomy (Zieba et al, 2010(Zieba et al, , 2011, which can lead to increasing the global system capacity using learning;…”