Fundamentally reshapes our understanding of the causes of the American Revolution and the pivotal role foreign news and misinformation played in driving colonists to revolt. Runner-up of the Journal of The American Revolution Book of the Year Award by the Journal of The American Revolution "Fake news" is not new. Just like millions of Americans today, the revolutionaries of the eighteenth century worried that they were entering a "post-truth" era. Their fears, however, were not fixated on social media or clickbait, but rather on peoples' increasing reliance on reading news gathered from foreign newspapers. In Misinformation Nation, Jordan E. Taylor reveals how foreign news defined the boundaries of American politics and ultimately drove colonists to revolt against Britain and create a new nation. News was the lifeblood of early American politics, but newspaper printers had few reliable sources to report on events from abroad. Accounts of battles and beheadings, as well as declarations and constitutions, often arrived alongside contradictory intelligence. Though frequently false, the information that Americans encountered in newspapers, letters, and conversations framed their sense of reality, leading them to respond with protests, boycotts, violence, and the creation of new political institutions. Fearing that their enemies were spreading fake news, American colonists fought for control of the news media. As their basic perceptions of reality diverged, Loyalists separated from Patriots and, in the new nation created by the revolution, Republicans inhabited a political reality quite distinct from that of their Federalist rivals. The American Revolution was not only a political contest for liberty, equality, and independence (for white men, at least); it was also a contest to define certain accounts of reality to be truthful while defining others as false and dangerous. Misinformation Nation argues that we must also conceive of the American Revolution as a series of misperceptions, misunderstandings, and uninformed overreactions. In addition to making a striking and original argument about the founding of the United States, Misinformation Nation will be a valuable prehistory to our current political moment.

The interdisciplinary essays in American Revolutions in the Digital Age explore what digital tools can tell us about the late eighteenth- and early nineteenth-century United States and reveal how an understanding of the American past can make sense of our digital present. By employing a host of innovative digital research methods, these authors challenge long-held assumptions about the American past. In addition, this collection uniquely demonstrates how contemporary anxieties about an array of topics, including media disinformation, patriarchy, economic inequality, and public memory, can be better understood through careful considerations of early American history. Open Access edition funded by Iona University

Includes, beginning Sept. 15, 1954 (and on the 15th of each month, Sept.-May) a special section: School library journal, ISSN 0000-0035, (called Junior libraries, 1954-May 1961). Also issued separately.

This publication describes examples of applications of neural networks in modelling, prediction and control. Topics covered include identification of general linear and nonlinear processes, forecasting of river levels, stock market prices, currency exchange rates, and control of a time-delayed plant and a two-joint robot. The neural network types considered are the multilayer perceptron (MLP), the Elman and Jordan networks, the Group-Method-of-Data-Handling (GMDH), the cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems. The algorithms presented are the standard backpropagation (BP) algorithm, the Widrow-Hoff learning, dynamic BP and evolutionary learning. Full listings of computer programs written in C for neural-network-based system identification and prediction to facilitate practical experimentation with neural network techniques are included.