Scientific Uncertainty and Information focuses on the validation of theories developed in physics, chemistry, biology, and other fields of science. The book first elaborates on thermodynamics, statistics, and information and the importance of scientific laws. Discussions focus on the importance and value of theories, empirical and theoretical laws, scientific laws and negentropy, principles of thermodynamics, entropy and value, negentropy, and energy degradation, and thermodynamics and information theory. The text then ponders on mathematical theorems and physical theories, imagination and invention in a theory, and causality and determinism. The manuscript underscores the weaknesses and limitations of mechanics and Poincare and the shortcomings of the Hamilton-Jacobi method for classical or quantized mechanics. Topics include the discussion of a simple example with two variables; degeneracy conditions and the possibility of finding a Hamilton-Jacobi transformation function; approximations for nondegenerate systems; methods of analytical dynamics for separated variables; and the objective world and the problem of determinism. The publication is a dependable reference for researchers interested in the validation of theories in science.