Lie detection operations. In other words, the DKS model may have a discrete knowledge base (DKB) of essential components needed for task resolution, while for nDKS, DKB is absent and, hence, a "global" or bi-hemispheric search occurs. Based on the latter premise, a 'lie detector' system was designed as described in . A pattern of blood-flow-velocity changes is obtained in response to questions that include correct and incorrect answers. The wrong answer will elicit bi-hemispheric activation, from correct answer that activates unilateral response. Cognitive polygraphy based on this system is devoid of any subjective control of mental processes and, hence, high reliability
Failure detector failure detector "W" is weak in completeness, and the failure detector "S" is strong in completeness. They are both weak in accuracy. If all arguments above are satisfied, the reduction of a weak failure detector "W" to a strong failure detector "S" will agree with the algorithm within the distributed computing system. Failure detector In a distributed computing system, a failure detector is a computer application or a subsystem that is responsible for the detection of node failures or crashes. Failure detectors were first introduced in 1996 by Chandra and Toueg in their book "Unreliable Failure Detectors for Reliable Distributed