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;; gorilla-repl.fileformat = 1

;; **
;;; # Gaussian
;; **

;; @@
(ns gaussian
  (:require [gorilla-plot.core :as plot]))

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(ns evolvesum) ;; Lee Spector (lspector@hampshire.edu) 20111009

;; We evolve a vector of 100 zeros and ones that sums to a particular number.

;; An individual is a vector of 100 random bits.

(defn new-individual 
  []
  (vec (repeatedly 100 #(rand-int 2))))

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;; Minimal example of how to play a melody using Clojure/Overtone/Leipzig, based on code
;; at https://github.com/ctford/leipzig

;; by Lee Spector, lspector@hampshire.edu, 20140204

;; Add the following to your dependencies in project.cl, and do "lein deps" if your environment requires it:
;; [leipzig "0.7.0"]

(ns notes.core
  (:use [leipzig melody scale live]

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(defn maria 
  []
  (+ 1 3))

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;; gorilla-repl.fileformat = 1

;; **
;;; # Palindrome
;;; 
;;; Lee Spector, lspector@hampshire.edu, 20180213
;;; 
;;; Here's another simple genetic algorithm demonstration, this one for evolving a palindrome -- a word that's the same backwards as forwards.
;;; 
;;; We could represent words as strings of characters, but some things are a little simpler to do with vectors, so here we'll represent words as vectors of single-letter symbols. 

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;; gorilla-repl.fileformat = 1

;; **
;;; # A Simple Genetic Algorithm to Solve a Silly, Made-Up Problem
;;; 
;;; Here we'll demonstrate the core concepts of genetic algorithms, in Clojure, by writing code to evolve a sequence of 5 integers between 1 and 100 (inclusive) that, when divided in sequence, produce 5. 
;;; 
;;; That is, we want numbers a, b, c, d, e such that `a / b / c / d / e = 5`
;;; 
;;; It's a silly, made-up problem, but it will nonetheless allow us to see how genetic algorithms work, and how to implement them in Clojure.

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;; gorilla-repl.fileformat = 1

;; **
;;; # Primes
;; **

;; @@
(ns primes)
;; @@
;; =>

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;; **
;;; # Self-eval music
;;; 
;;; Lee Spector, 2017
;;; 
;;; This is code for turning self-evaluations into music, for CS263: Artificial Intelligence at Hampshire College. The output can be played via [Klangmeister](http://ctford.github.io/klangmeister/).
;;; 
;; **

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;; gorilla-repl.fileformat = 1

;; **
;;; # Self-eval scramble
;;; 
;;; Lee Spector, 2017
;;; 
;;; This is code for Markov chain scrambling of self-evaluations for CS263: Artificial Intelligence at Hampshire College.
;;; 
;;; In this text scrambler, we start with a random word and then follow it by some word that follows that word in the original text, with the probabilities for the following words derived from the numbers of times that they follow the first word in the original text. Then we repeat the process to choose a word to follow the second word, and so on. While it's possible to do this by computing the probabilities of all word pairs in the input, we can do it more simply, and achieve the same results, with random rotations.

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;; gorilla-repl.fileformat = 1

;; **
;;; # Search
;;; 
;;; Lecture notes on AI search algorithms, with Clojure code.
;;; 
;;; Lee Spector, lspector@hampshire.edu, 20141015-20170930
;;; 
;;; Some of the code here was adapted from the [search.lisp](https://norvig.com/paip/search.lisp) Common Lisp code in Peter Norvig's Paradigms of AI Programming (1991), but with substantial modifications.