on 26-Apr-2017 (Wed)

Even more impor- tant, it might give us a generic recipe for constructing connectionist and other psychologi- cal process models that approximate the ideal solution expressed in a Bayesian model, producing testable claims about cognitive processes.

Abstract computational architectures are mod- els of mental computation in the sense in which the Turing machine is a model of how computers process information.

Define the computational-level theory without con- sidering limitations on its execution, and then explore the consequences of those limitations as a further analysis that brings us closer to an algorithmic-level theory (see Fig. 1). Various proposals about limitations—or alternatively abstract computational architectures—provide us with levels of analysis between the computational and the algo- rithmic, and the principle of rationality provides us with a methodology for developing models at those intermediate levels.

History (from Greek ἱστορία , historia, meaning "inquiry, knowledge acquired by investigation")^[2] is the study of the past as it is described in written documents.^[3][4] Events occurring before written record are considered prehistory. It is an umbrella term that relates to past events as well as the memory, discovery, collection, organization, presentation, and interpretation of information about these events. Scholars who write about history are called historians.