1. A method, comprising: initializing at least one of i)nodes in a first machine learning network and ii) connections between the nodes, to a predetermined strength value, wherein the nodes represent factors determining an output of the network; providing a first set of questions to a plurality of users, the first set of questions relating to at least one of the factors; receiving guesstimates from the users in response to the first set of questions; adjusting the predetermined strength value as a function of the guesstimates; and combining guesstimates received from the users with those of other users to develop and evaluate the network, which is a consensus network.
1. A method, comprising: initializing at least one of i)nodes in a first machine learning network and ii) connections between the nodes, to a predetermined strength value, wherein the nodes represent factors determining an output of the network; providing a first set of questions to a plurality of users, the first set of questions relating to at least one of the factors; receiving guesstimates from the users in response to the first set of questions; adjusting the predetermined strength value as a function of the guesstimates; and combining guesstimates received from the users with those of other users to develop and evaluate the network, which is a consensus network. 16. The method according to claim 1 , wherein the predetermined strength value is one of a constant and a series of related constants.