;; Copyright (C) 1996-1997, 2000-2018 Free Software Foundation, Inc.
-;; Author: Terrence Brannon (was: <brannon@rana.usc.edu>)
+;; Author: Terrence Brannon <metaperl@gmail.com>
;; Created: December 16, 1996 - first release to usenet
;; Keywords: games, neural network, adaptive search, chemotaxis
;; Version: 1.0
;; the smell of the tree increases, then the weights in the robot's
;; brain are adjusted to encourage this odor-driven behavior in the
;; future. If the smell of the tree decreases, the robots weights are
-;; adjusted to discourage a correct move.
+;; adjusted to discourage that odor-driven behavior.
;; In laymen's terms, the search space is initially flat. The point
;; of training is to "turn up the edges of the search space" so that
;; a single move, one moves east,west and south, then both east and
;; west will be improved when they shouldn't
+;; The source code was developed as part of a course on Brain Theory
+;; and Neural Networks at the University of Southern California. The
+;; original problem description and solution appeared in 1981 in the
+;; paper "Landmark Learning: An Illustration of Associative
+;; Search" authored by Andrew G. Barto and Richard S. Sutton and
+;; published to Biological Cybernetics.
+
;; Many thanks to Yuri Pryadkin <yuri@rana.usc.edu> for this
;; concise problem description.