37. A system, comprising: a host computing device including a machine learning network, the host computing device initializing at least one of i) nodes in the network and ii) connections between the nodes, to a respective predetermined strength value, the host computing device outputting questions, each question corresponding to at least one of the connections; and a plurality of client computing devices receiving the questions, the client computing devices transmitting guesstimates from users thereof in response to the questions, wherein the host computing device adjusts the predetermined strength value as a function of the guesstimates, and wherein the network is a consensus network and the users are able to combine their own guesstimates with those of other users to develop and evaluate the network.
37. A system, comprising: a host computing device including a machine learning network, the host computing device initializing at least one of i) nodes in the network and ii) connections between the nodes, to a respective predetermined strength value, the host computing device outputting questions, each question corresponding to at least one of the connections; and a plurality of client computing devices receiving the questions, the client computing devices transmitting guesstimates from users thereof in response to the questions, wherein the host computing device adjusts the predetermined strength value as a function of the guesstimates, and wherein the network is a consensus network and the users are able to combine their own guesstimates with those of other users to develop and evaluate the network. 38. The system according to claim 37 , wherein the guesstimates comprise a synthetic data set that is capable of being applied at any time to the network.