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RE: landmark.el

From: Brannon, Terrence
Subject: RE: landmark.el
Date: Fri, 7 Dec 2018 22:02:54 +0000

-----Original Message-----
From: Emacs-devel [mailto:address@hidden On Behalf Of Stefan Monnier
Sent: Thursday, December 6, 2018 5:38 PM
To: address@hidden
Subject: Re: landmark.el [ EXTERNAL ]

> I would like to provide some edits to the Full description we see at 
> https://urldefense.proofpoint.com/v2/url?u=http-3A__elpa.gnu.org_packa
> ges_landmark.html&d=DwIBAg&c=huW-Z3760n7oNORvLCN2eBo-Ehm9Q_bNeNJaAMovB
> jQ&r=uvXYcBD4O7n5Ah7cexUTOH7HUSodf0nzeN28F7OKuAxMhDsehRnahd_yZf-XdItD&
> m=PmF4jAwV81WZV7zgW48Napnf_K7g2FkuV_y4AH8pVLU&s=M1uQx1mJCjOH-xScnPfxdz
> uhLZmHUDJjGiOJrfQLaIw&e=
> Apparently this would be done by supplying a pull request to the 
> actual source code -

>> You can send a patch here or via M-x report-emacs-bug (or directly to me).

c:\prg\landmark>git diff landmark.el 
git diff landmark.el 
diff --git a/landmark.el b/landmark.el
index 9b48901..b1ffd8a 100644
--- a/landmark.el
+++ b/landmark.el
@@ -2,7 +2,7 @@
 ;; Copyright (C) 1996-1997, 2000-2016 Free Software Foundation, Inc.
-;; Author: Terrence Brannon (was: <address@hidden>)
+;; Author: Terrence Brannon <address@hidden>
 ;; Created: December 16, 1996 - first release to usenet
 ;; Keywords: games, neural network, adaptive search, chemotaxis
 ;; Maintainer: address@hidden
@@ -34,7 +34,7 @@
 ;; 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
@@ -51,6 +51,13 @@
 ;; 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 <address@hidden> for this
 ;; concise problem description.

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