1. John McCarthy Pioneer in AI Also Lisp Formalize common-sense reasoning
Proposed timesharing
Mathematical theory ….
Lisp
stems from interest in symbolic computation (math, logic)

2. Language speeds
Completely Random and Arbitrary Point System

3. Example of formula (defun roots (a b c) (list
(/ (+ (- b) (sqrt (- (expt b 2) (* 4 a c)) ))
(* 2 a))
(* 2 a)) ))

4. eval and quote > (eval (cdr '(a + 2 3))) 5 > (setq a 'b) b
error: unbound variable - b
if continued: try evaluating symbol again
1> [ back to top level ]
> (set 'a 'b)
> (eval (eval ''a))
> 'a a

5. eval and quote > (eval (eval '(quote a))) b > 'a a
> (eval '(list '* 9 6))
(* 9 6)
> (eval (eval '(list * 9 6)))
error: bad function - (* 9 6)
1> [ back to top level ]
> (eval (eval '(list '* 9 6))) 54

6. Examples of tail recursion
If last operation in function is recursive call, overwrite actuals and go to beginning of code:
(defun last (lis) ; finds the last element of the list
(if (null? (cdr lis) (car lis))
(last (crd lis)))) ; can be done with loop
(defun length (lis) ; calculates the length of the list
(if (null? lis) 0)
(+ 1 (length (cdr lis)))) ; not tail recursive!

7. Example of Tree Recursion: Fibonacci
Writing a function to compute the nth Fibonacci number
Fibonacci sequence: 0, 1, 1, 2, 3, 5, 8, 13, …
fib(0) = 0
fib(1) = 1
fib(n) = fib(n-2) + fib(n-1)

8. Short Version of tree recursion
(defun fib (n)
(cond ((eql n 0) 0) ; base case
((eql n 1) 1) ; base case
(t (+ (fib (- n 1)) ; recursively compute fib(n)
(fib (- n 2))))))

9. Complete Version with Error Checking and Comments
(defun fib (n)
"Computes the nth Fibonacci number."
(cond ((or (not (integerp n)) (< n 0)) ; error case
(error "~s must be an integer >= 0.~&" n))
((eql n 0) 0) ; base case
((eql n 1) 1) ; base case
(t (+ (fib (- n 1)) ; recursively compute fib(n)
(fib (- n 2))))))

10. Problems: 1. Write a function (power 3 2) = 3^2 = 9
2. Write a function that counts the number of atoms in an expression.
(count-atoms '(a (b) c)) --> 3
3. (count-anywhere 'a '(a ((a) b) a)) --> 3
4. (dot-product '(10 20) '(3 4)) --> 10x3 + 20x4 = 110
5. Write a function (flatten '(a (b) () ((c)))) --> (a b c)
which removes all levels of parenthesis and returns a flat list of
atoms.
6. Write a function (remove-dups '(a 1 1 a b 2 b)) --> (a 1 b 2)
which removes all duplicate atoms from a flat list.
(Note: there is a built-in remove-duplicates in Common Lisp, do not use it).

11. Solutions 1-3 (defun power (a b) "compute a^b - (power 3 2) ==> 9"
(if (= b 0) 1
(* a (power a (- b 1)))))
(defun count-atoms (exp)
"count atoms in expresion - (count-atoms '(a (b) c)) ==> 3"
(cond ((null exp) 0)
((atom exp) 1)
(t (+ (count-atoms (first exp)) (count-atoms (rest exp))))))
(defun count-anywhere (a exp)
"count performances of a in expresion -
(count-anywhere 'a '(a ((a) b) (a))) ==> 3"
((atom exp) (if (eq a exp) 1 0))
(t (+ (count-anywhere a (first exp))
(count-anywhere a (rest exp))))))

12. Solutions (defun flatten (exp)
"removes all levels of paranthesis and returns flat list of atomsi
(flatten '(a (b) () ((c)))) ==> (a b c)"
(cond ((null exp) nil)
((atom exp) (list exp))
(t (append (flatten (first exp))
(flatten (rest exp))))))

13. Iteration – adding all elements from a list
Iteration is done by recursion
Analogous to while-loop
(defun plus-red (a)
(if (null a) 0
(plus (car a) (plus-red (cdr a)) )) )

14. Nested Loops Example : Cartesian product (defun all-pairs (M N)
(if (null M) nil
(append (distl (car M) N)
(all-pairs (cdr M ) N )) ))
(defun distl (x N)
(if (null N) nil
(cons (list x (car N))
(distl x (cdr N)) )) )

15. Hierarchical structures
Are difficult to handle iteratively
example: equal function
eq only handles atoms
initial states
If x and y are both atoms (equal x y) = (eq x y)
If exactly one of x and y is atom (equal x y) = nil
(and (atom x) (atom y) (eq x y))
use car and cdr to write equal recursively

16. Equivalency of recursion and iteration
it may be seemed that recursion is more powerful than iteration
in theory these are equivalent
As we said iteration can be done by recursion
by maintaining a stack of activation records we can convert a recursive program to an iterative one.

17. Functional arguments and abstraction
Suppress details of loop control and recursion
example: applying a function to all elements of list
(defun mapcar (f x)
(if (null x)
nil
(cons (f (car x)) (mapcar f (cdr x)) )) )
(defun reduce (f a x) a
(f (car x) (reduce f a (cdr x) )) ) )

18. Few more functions let*
let* is similar to let, but the bindings of variables are performed sequentially rather than in parallel.
The expression for the init-form of a var can refer to vars previously bound in the let*.
The form
(let*
((var1 init-form-1)
(var2 init-form-2)
...
(varm init-form-m))
declaration1
declaration2
declarationp
form1
form2
formn)
first evaluates the expression init-form-1,
then binds the variable var1 to that value;
then it evaluates init-form-2 and binds var2, and so on.
The expressions formj are then evaluated in order; the values of all but the last are discarded (that is, the body of let* is an implicit progn).

19. Few more functions reduce
reduce uses a binary operation, function, to combine the elements of sequence bounded by start and end. The function must accept as arguments two elements of sequence or the results from combining those elements. The function must also be able to accept no arguments. If key is supplied, it is used is used to extract the values to reduce. The key function is applied exactly once to each element of sequence in the order implied by the reduction order but not to the value of initial-value, if supplied. The key function typically returns part of the element of sequence. If key is not supplied or is nil, the sequence element itself is used. The reduction is left-associative, unless from-end is true in which case it is right-associative. If initial-value is supplied, it is logically placed before the subsequence (or after it if from-end is true) and included in the reduction operation. In the normal case, the result of reduce is the combined result of function's being applied to successive pairs of elements of sequence. If the subsequence contains exactly one element and no initial-value is given, then that element is returned and function is not called. If the subsequence is empty and an initial-value is given, then the initial-value is returned and function is not called. If the subsequence is empty and no initial-value is given, then the function is called with zero arguments, and reduce returns whatever function does. This is the only case where the function is called with other than two arguments.

20. Few more functions reduce
Examples:
(reduce #'* '( )) => 120
(reduce #'append '((1) (2)) :initial-value '(i n i t)) => (I N I T 1 2)
(reduce #'append '((1) (2)) :from-end t :initial-value '(i n i t)) => (1 2 I N I T)
(reduce #'- '( )) == (- (- (- 1 2) 3) 4) => -8
(reduce #'- '( ) :from-end t) ;Alternating sum. == (- 1 (- 2 (- 3 4))) => -2
(reduce #'+ '()) => 0
(reduce #'+ '(3)) => 3
(reduce #'+ '(foo)) => FOO
(reduce #'list '( )) => (((1 2) 3) 4)
(reduce #'list '( ) :from-end t) => (1 (2 (3 4)))
(reduce #'list '( ) :initial-value 'foo) => ((((foo 1) 2) 3) 4)
(reduce #'list '( ) :from-end t :initial-value 'foo) => (1 (2 (3 (4 foo))))

21. Few more functions reduce
SOME function searches the sequences for values for which predicate returns true.
It there is such list of values that occupy same index in each sequence, return value is true, otherwise false.
(some #'alphanumericp "") => NIL
(some #'alphanumericp "...") => NIL
(some #'alphanumericp "ab...") => T
(some #'alphanumericp "abc") => T
(some #'< '( ) '( )) => T
(some #'< '( ) '( )) => T
(some #'< '( ) '( )) => NIL

22. Building Problem Solvers in LISP

23. Genetic algorithm Common Lisp code

24. Genetic algorithm Common Lisp code from Dean:
(defun reproduce (population) (let ( (offspring nil) (d (distribution population) )) (dotimes (i (/ (length population) 2) ) (let ( (x (selectone d) ) (y (selectone d)) ) (crossover x y) (setq offspring (nconc (list x y) offspring) ) )) offspring))
Takes population as argument
Initializes offspring to empty list
Distributed population
Distributes initial population
Repeats for the length of half population
Selects parent x, one from population
Selects parent y, one from population
Does crossover of parents x and y
End of adding new children to list offspring
Creates new list offspring by adding new children x and y to old list offspring
Returns new list offspring

25. Genetic algorithm Common Lisp code (importance of drawing trees for larger functions)
reproduce
(defun reproduce (population)    (let ( (offspring nil)          (d (distribution population) ))      (dotimes (i (/ (length population) 2) )        (let ( (x (selectone d) )              (y (selectone d)) )          (crossover x y)          (setq offspring (nconc (list x y) offspring) ) ))      offspring))
offspring
distribution
dotimes
let
length
Selects parent x, one from population d
selectone
Selects parent y, one from population d
setq
crossover
Does crossover of parents x and y
nconc
Creates new list offspring
I found it very useful to create for myself such trees to know who is calling whom
Returns list offspring

26. User defined function distribution
Takes the initial population and distributes it according to fitness function
Distributes initial population
(defun distribution (population)    (let* ((genotypes (remove-duplicates population :test #'equal))    (sum (apply #'+ (mapcar #'fitness genotypes))))     
(mapcar #'(lambda (x) (cons (/ (fitness x) sum) x)) genotypes)))
Creates genotypes by removing the duplicates from population
Uses function fitness
Creates sum of fitness values
Calculates fitness of all elements from list genotypes
Creates a pair of normalized fitness and a genotype x
Creates list of pairs for all elements of list genotypes

27. User defined function selectone
This function was used in function reproduce two pages earlier
Selects one parent from population
(defun selectone (distribution)    (let ((random (random 1.0))           (prob 0)          genotype)      (some #'(lambda (pair)         (incf prob (first pair))         (if (> random prob) nil             ;;else             (setq genotype (rest pair))))         distribution)       (mutate genotype)))
Initializes random
Initializes prob
Initializes genotype
Compares elements of distribution.
Selects those with higher prob
Apply to the original distribution
Calls function mutate to mutate the genotype

28. User defined functions for crossover and mutation
(defun crossover (x y)    (if (> (random 1.0) 0.6) (list x y)  ;; in this case do nothing, return x and y as in input     ;;else      (let* ((site (random (length x)))      (swap (rest (nthcdr site x) )))        (setf (rest (nthcdr site x)) (rest (nthcdr site y)))        (setf (rest (nthcdr site y)) swap))))
(defun mutate (genotype)    (mapcar #'(lambda (x)          (if (> (random 1.0) 0.03) x             ;; else             (if (= x 1) 0                ;; else                1)))     genotype))
x and y are chromosomes
Site is a place of cut
Swap is temporary location
Creates child 1
Execute crossover
Creates child 2
Does mutation of a single genotype by flipping bits
Can do several mutations at once

29. Calculate fitness function
(defun fitness (x) (let ((xarg (/ (string2num x) )) (v '( )) (c '( )) (w 0.003)) (reduce #'+ (mapcar #'(lambda (vi ci) (let ((xc (- xarg ci))) (* vi (exp (* -1 (/ (* 2 w)) xc xc))))) v c)))) (defun string2num (s) (loop for xi in (reverse s) for p = 1 then (* p 2) sum (* xi p)))
Calculates fitness of a genotype x
Set parameters
Converts string to a number