It can also be relaxed into a more “realistic” problem, where faulty components do not cooperate to induce others to make mistakes. Practical algorithms have been developed in this environment. arXivLabs is a framework that allows employees to develop and share new arXiv features directly on our site. It should be emphasized that we cannot automate the last inductive argument because it is probabilistic: SMV cadence cannot process any probability, while PRISM can only process finite configurations and does not support data reduction. Instead, we further validate the probabilistic analysis as follows. Observing that the problem can be reduced for a fixed n in the model test of an evaluation of the finite state of the protocol, we manually construct an abstraction and model it with PRISM, the probabilities being validated for up to n = 20 parts. In addition, we verify (for a finite configuration) the accuracy of the abstraction with the CSP process algae [Ros97] and the method-based FDR tool in [KNS01a]; This depends on the ability to encode probabilities in the action name and therefore excludes the use of SMV Cadence. In 2007, a quantum protocol for the Byzantine agreement  was demonstrated experimentally using a four-photon polarization state. This shows that the quantum implementation of classical bizantine agreement protocols is indeed feasible. Around 1980, several system architectures were developed to implement Byzantine error tolerance. These include Drapers FTMP, Honeywell`s MMFCS, and SRI`s SIFT.
 In order to make the interactive problem of consistency easier to understand, Lamport devised a colorful allegory in which a group of army generals formulate a plan of attack against a city. In its original version, the story focused on the generals as commanders of the Albanian army. The name was changed and eventually based on “Byzantine”, at the proposal of Jack Goldberg, to ensure any insult to the future.  This formulation of the problem, along with some additional results, was presented by the same authors in their 1982 paper “The Byzantine Generals Problem.”  One of the fundamental problems of distributed computing is the bizantin problem of the agreement. The Byzantine agreement requires a group of parties to agree on value in a distributed environment, even if some of the parties are corrupt. . . .