Winston (2010), gives a simple layman, yet effective and elegant definition describing that Artificial Intelligence, machine learning (Simon, 2013) and cognitive science (Miller, 2003) paradigms encompassing Artificial Neural Networks (ANN) could loosely be defined as “representations that support the making of models, that facilitate understanding targeted at thinking, perception and action.” Similarly, ANN first envisioned and conceptualized by McCulloch and Pitts (1943), could be described as a set of mathematical rules, able to respectively mimic both complex and rudimentary neural structures found in biological organisms, modelled as representations of synapses fired during thought and reflex processes.