Probabilistic/chaotic Computing
Probabilistic computing engines, e.g. use of probabilistic graphical model such as Bayesian network. Such computational techniques are referred to as randomization, yielding probabilistic algorithms. When interpreted as a physical phenomenon through classical statistical thermodynamics, such techniques lead to energy savings that are proportional to the probability p with which each primitive computational step is guaranteed to be correct (or equivalently to the probability of error, (1–p). Chaotic Computing is based on the chaos theory.
Read more about this topic: Lateral Computing, A Review of Lateral-computing Techniques
Famous quotes containing the word chaotic:
“Our chaotic economic situation has convinced so many of our young people that there is no room for them. They become uncertain and restless and morbid; they grab at false promises, embrace false gods and judge things by treacherous values. Their insecurity makes them believe that tomorrow doesn’t matter and the ineffectualness of their lives makes them deny the ideals which we of an older generation acknowledged.”
—Hortense Odlum (1892–?)