Search: The Core of Planning

Transcription

1 Serch: The Core of Plnning Dr. Neil T. Dntm CSCI-498/598 RPM, Colordo School of Mines Spring 208 Dntm (Mines CSCI, RPM) Serch Spring 208 / 75

2 Outline Plnning nd Serch Problems Bsic Serch Depth-First Serch Bredth-First Serch Properties of Serch nd Plnning More Serch Vritions Itertive-Deepening Serch Bckwrd Serch Bidirectionl Serch Dntm (Mines CSCI, RPM) Serch Spring / 75

3 Plnning nd Serch Problems Outline Plnning nd Serch Problems Bsic Serch Depth-First Serch Bredth-First Serch Properties of Serch nd Plnning More Serch Vritions Itertive-Deepening Serch Bckwrd Serch Bidirectionl Serch Dntm (Mines CSCI, RPM) Serch Spring / 75

4 Plnning nd Serch Problems The Plnning / Serch Problem Given:. Stte spce: Q 2. Trnsition function δ : Q P (Q) 3. Strt stte: q 0 Q 4. Gol set: A Q Find: Pth p = (p 0,..., p n ) from strt to gol such tht: p 0 = q 0 is the strt stte p n A is gol stte Subsequent sttes re vlid trnsitions: p k+ δ(p k ) Dntm (Mines CSCI, RPM) Serch Spring / 75

5 Plnning nd Serch Problems Serch Trees Stte Spce: Q = {, b, c, d, e, f, g, h, i, j, k, l, m} Trnsition Function: δ() = {b, c, d} δ(b) = {e, f, g} δ(c) = {h, i, j} δ(d) = {k, l, m} Explore / construct serch tree until finding the gol Dntm (Mines CSCI, RPM) Serch Spring / 75

6 Plnning nd Serch Problems Exmple Domin 0: Gridworld Crtoon Grph Symbols 2 y 0 0 x 2 0, 2 0, 0, 0 strt, 2,, 0 2,22 2, 2, 0 Stte Spce: Q = {(0, 0), (0, ), (0, 2) (, 0), (, ), (, 2) (2, 0), (2, ), (2, 2)} Trnsitions: δ((0, 0)) = {(0, ), (, 0)} δ((, 0)) = {(0, 0), (, ), (2, 0)} δ((2, 0)) = {(, 0), (2, )}... Strt: q 0 = (0, 0) Gol: A = {(2, 2)} Dntm (Mines CSCI, RPM) Serch Spring / 75

7 Plnning nd Serch Problems Exmple Domin : Towers of Hnoi Strt Gol b c b c. Only one disk cn be moved t time. 2. Ech move consists of tking the upper disk from one of the stcks nd plcing it on top of nother stck. 3. No disk my be plced on top of smller disk. Dntm (Mines CSCI, RPM) Serch Spring / 75

8 Plnning nd Serch Problems Exmple Domin : Towers of Hnoi Trnsition Function Grph b (b), (), () b (), (b), () (), (), (b) b b (, b), (), () b (), (, b), () (), (), (, b) b b (b), (), () b (), (b), () (), (), (b) b Dntm (Mines CSCI, RPM) Serch Spring / 75

9 Plnning nd Serch Problems Exmple Domin : Towers of Hnoi Symbolic Trnsition Function b (, b), (), () b (b), (), () b (b), (), () Trnsition Function: ( ) { } δ (, b), (), () = (b), (), (), (b), (), () ( δ (b), (), () ) { = (b), (), (), (), (), (b), (b), (), () } ( δ (b), (), () ) { = (b), (), (), (b), (), (), (), (b), () }... Strt: q 0 = (, b), (), () { } Gol: A = (), (), (, b) Dntm (Mines CSCI, RPM) Serch Spring / 75

10 Plnning nd Serch Problems Exercise Domin 2: Auto Nvigtion Dntm (Mines CSCI, RPM) Serch Spring / 75

11 Plnning nd Serch Problems Exercise Domin 2: Auto Nvigtion Dntm (Mines CSCI, RPM) Serch Spring 208 / 75

12 Plnning nd Serch Problems Exercise Domin 2: Auto Nvigtion Dntm (Mines CSCI, RPM) Serch Spring / 75

13 Bsic Serch Outline Plnning nd Serch Problems Bsic Serch Depth-First Serch Bredth-First Serch Properties of Serch nd Plnning More Serch Vritions Itertive-Deepening Serch Bckwrd Serch Bidirectionl Serch Dntm (Mines CSCI, RPM) Serch Spring / 75

14 Bsic Serch Depth-First Serch Depth-First Serch Step 0 W = () Step W = (b, c, d) Step 2 W = (e, f, g, c, d) Step 3 W = (f, g, c, d) Dntm (Mines CSCI, RPM) Serch Spring / 75

15 Bsic Serch Depth-First Serch Depth-First Serch continued Step 4 W = (g, c, d) Step 5 W = (c, d) Step 6 W = (h, i, j, d) Step 7 W = (i, j, d) Dntm (Mines CSCI, RPM) Serch Spring / 75

16 Bsic Serch Depth-First Serch Depth-First Serch continued 2 Step 8 W = (j, d) Step 9 W = (d) Step 0 W = (k, l, m) Step W = (l, m) Dntm (Mines CSCI, RPM) Serch Spring / 75

17 Bsic Serch Depth-First Serch Depth-First Serch continued 3 Step 2 W = (m) Step 3 W = () Dntm (Mines CSCI, RPM) Serch Spring / 75

18 Bsic Serch Depth-First Serch DFS Outline Recursive Procedurl Trck serch progress vi function cll stck:. Visit node x. Visit ech neighbor of node x.2 Return Trck serch progress vi stck dt structure:. Pop node x from stck 2. Push ll neighbors of x onto stck 3. Repet Dntm (Mines CSCI, RPM) Serch Spring / 75

19 Bsic Serch Depth-First Serch DFS Algorithm Recursive Procedure dfs(q 0, δ, A) T [q 0 ] nil ; // Serch Tree 2 function visit(q) is 3 if q A then 4 return tree-pth (T, q); 5 else 6 forech q δ(q) do 7 if contins(t,q ) then 8 T [q ] q; 9 let p = visit (q ) in 0 if p then return p ; return nil; 2 return visit (q 0 ); Dntm (Mines CSCI, RPM) Serch Spring / 75

20 Bsic Serch Depth-First Serch Tree-Pth Procedure tree-pth(t, q) function rec(q,pth) is 2 if q then // Recursive Cse prent of q {}}{ 3 return rec T [q], cons (q, pth) ; 4 else // Bse Cse: t the root 5 return pth; 6 return rec (q, nil);. rec(m, ()) 2. rec(d, (m)) 3. rec(, (d, m)) 4. rec(nil, (, d, m)) 5. (, d, m) Dntm (Mines CSCI, RPM) Serch Spring / 75

21 Bsic Serch Depth-First Serch DFS Algorithm Procedurl Procedure dfs(q 0, δ, A) W (q 0 ) ; // Stck 2 T [q 0 ] nil ; // Serch Tree 3 while W do 4 let q = pop(w) in 5 if q A then 6 return tree-pth (T, q); 7 else 8 forech q δ(q) do 9 if contins(t,q ) then 0 T [q ] q; W push (q, W ); 2 return nil; Dntm (Mines CSCI, RPM) Serch Spring / 75

22 Bsic Serch Bredth-First Serch Bredth-First Serch Step 0 W = () Step W = (b, c, d) Step 2 W = (c, d, e, f, g) Step 3 W = (d, e, f, g, h, i) Dntm (Mines CSCI, RPM) Serch Spring / 75

23 Bsic Serch Bredth-First Serch Bredth-First Serch continued Step 4 W = (e, f, g, h, i, j, k, l, m) Step 5 W = (f, g, h, i, j, k, l, m) Step 6 W = (g, h, i, j, k, l, m) Step 7 W = (h, i, j, k, l, m) Dntm (Mines CSCI, RPM) Serch Spring / 75

24 Bsic Serch Bredth-First Serch Bredth-First Serch continued 2 Step 8 W = (i, j, k, l, m) Step 9 W = (j, k, l, m) Step 0 W = (k, l, m) Step W = (l, m) Dntm (Mines CSCI, RPM) Serch Spring / 75

25 Bsic Serch Bredth-First Serch Bredth-First Serch continued 3 Step 2 W = (m) Step 3 W = () Dntm (Mines CSCI, RPM) Serch Spring / 75

26 Bsic Serch Bredth-First Serch BFS Outline Procedurl Trck serch progress vi queue:. Dequeue node q from queue 2. Enqueue ll neighbors of q 3. Repet Dntm (Mines CSCI, RPM) Serch Spring / 75

27 Bsic Serch Bredth-First Serch BFS Algorithm Procedurl Procedure bfs(q 0, δ, A) W (q 0 ); // Queue 2 T [q 0 ] nil; // Serch Tree 3 while W do 4 let q = dequeue (W ) in 5 if q A then 6 return tree-pth (T, q); 7 else 8 forech q δ(q) do 9 if contins(t,q ) then 0 T [q ] q; W enqueue (q, W ); 2 return nil; Dntm (Mines CSCI, RPM) Serch Spring / 75

28 Properties of Serch nd Plnning Outline Plnning nd Serch Problems Bsic Serch Depth-First Serch Bredth-First Serch Properties of Serch nd Plnning More Serch Vritions Itertive-Deepening Serch Bckwrd Serch Bidirectionl Serch Dntm (Mines CSCI, RPM) Serch Spring / 75

29 Properties of Serch nd Plnning Plnning Properties Correctness: Do we get right nswer? Completeness: Do we lwys get n nswer? Optimlity: Do we get the best nswer? Dntm (Mines CSCI, RPM) Serch Spring / 75

30 Properties of Serch nd Plnning Correctness Definition (Correctness) A plnning lgorithm is correct if every pln it produces is vlid. Given q 0, δ, A: If P(q 0, δ, A) = (p 0,..., p n ), then: p 0 = q 0 p n A For ll p i, p i δ(p i ) Dntm (Mines CSCI, RPM) Serch Spring / 75

31 Properties of Serch nd Plnning Completeness Definition (Completeness) A plnning lgorithm is complete if: When solution exists, the plnner lwys returns solution, nd when solution does not exists, the plner returns flse. Given q 0, δ, A: Solution Exists There exists solution (p 0,..., p n ) where p 0 = q 0 p n A For ll p i, p i δ(p i ) Then P(q 0, δ, A) returns such. No Solution Exists Does not exist (p 0,..., p n ) where p 0 = q 0 p n A For ll p i, p i δ(p i ) Then P(q 0, δ, A) returns flse. Dntm (Mines CSCI, RPM) Serch Spring / 75

32 Properties of Serch nd Plnning Optimlity Definition (Optimlity) A plnning lgorithm is optiml if it produces the highest rewrd (/ lowest cost) pln. Given p 0, δ, A, stte rewrd function {}}{ V : Q R : pth rewrd ({}}{ n ) P(q 0, δ, A) = rgmx V (p i ) p 0,...,p n i=0 Dntm (Mines CSCI, RPM) Serch Spring / 75

33 Properties of Serch nd Plnning Trde-offs Why ren t we lwys Correct, Complete, nd Optiml? Computtion: Time Spce Incomplete informtion / model limittions Infinite Spces Dntm (Mines CSCI, RPM) Serch Spring / 75

34 More Serch Vritions Outline Plnning nd Serch Problems Bsic Serch Depth-First Serch Bredth-First Serch Properties of Serch nd Plnning More Serch Vritions Itertive-Deepening Serch Bckwrd Serch Bidirectionl Serch Dntm (Mines CSCI, RPM) Serch Spring / 75

35 More Serch Vritions Itertive-Deepening Serch Brnching Fctor Definition (Brnching Fctor) Number of outgoing edges from node of the serch tree.... n i,j n i+,0 n i+,... n i+,b n i+,b Dntm (Mines CSCI, RPM) Serch Spring / 75

36 More Serch Vritions Itertive-Deepening Serch BFS Memory Use b: brnching fctor d: current depth W b d W = (j, k, l, m, n, o.p, q, r, s, t, u, b, w, x, y, z, α, β) n o p q r s t u v w x y z α β γ δ ɛ ζ θ ι κ λ µ ν ξ π Memory use dominted by queued next level. Dntm (Mines CSCI, RPM) Serch Spring / 75

37 More Serch Vritions Itertive-Deepening Serch DFS Memory Use b: brnching fctor d: current depth W b d W = (z, α, β, j, d) n o p q r s t u v w x y z α β γ δ ɛ ζ θ ι κ λ µ ν ξ π Smll work list (still hve visited set) Dntm (Mines CSCI, RPM) Serch Spring / 75

38 More Serch Vritions Itertive-Deepening Serch DFS vs. BFS DFS BFS Pro: Compct work list (liner) Con: Not optiml Pro: Optiml (for equl step cost) Con: Exponentil work list Dntm (Mines CSCI, RPM) Serch Spring / 75

39 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch (IDS) Overview. Set depth limit to 0 2. Run depth-first serch up to depth-limit 2. If gol found, return 2.2 Otherwise, increment depth limit nd repet Dntm (Mines CSCI, RPM) Serch Spring / 75

40 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Strt with depth limit 0 Step 0 W = () Step W = () Dntm (Mines CSCI, RPM) Serch Spring / 75

41 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Retry with depth limit Step 2 W = () Step 3 W = (b, c, d) Step 4 W = (c, d) Step 5 W = (d) Dntm (Mines CSCI, RPM) Serch Spring / 75

42 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Retry with depth limit continued Step 6 W = () Dntm (Mines CSCI, RPM) Serch Spring / 75

43 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Retry with depth limit 2 Step 0 W = () Step W = (b, c, d) Step 2 W = (e, f, g, c, d) Step 3 W = (f, g, c, d) Dntm (Mines CSCI, RPM) Serch Spring / 75

44 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Retry with depth limit 2 continued Step 4 W = (g, c, d) Step 5 W = (c, d) Step 6 W = (h, i, j, d) Step 7 W = (i, j, d) Dntm (Mines CSCI, RPM) Serch Spring / 75

45 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Retry with depth limit 2 continued 2 Step 8 W = (j, d) Step 9 W = (d) Step 0 W = (k, l, m) Step W = (l, m) Dntm (Mines CSCI, RPM) Serch Spring / 75

46 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Retry with depth limit 2 continued 3 Step 2 W = (m) Step 3 W = () Dntm (Mines CSCI, RPM) Serch Spring / 75

47 More Serch Vritions Itertive-Deepening Serch Depth-Limited Serch Algorithm Procedure dls(q 0, δ, A, d mx ) T [q 0 ] nil ; // Serch Tree 2 function visit(q, d) is 3 if q A then return tree-pth (T, q) ; 4 if (d 0) then return nil; 5 else 6 forech q δ(q) do 7 if contins(t,q ) then 8 T [q ] q; 9 let p = visit (q, d ) in 0 if p then return p ; return nil 2 return (visit (q 0, d mx ), T ); Dntm (Mines CSCI, RPM) Serch Spring / 75

48 More Serch Vritions Itertive-Deepening Serch Itertive-Deepening Serch Algorithm Procedure ids(q 0, δ, A) d 0; 2 repet 3 (p, T ) dls (q 0, δ, A, d); 4 d d + ; 5 until p is non-empty or T contins ll nodes; 6 return p Dntm (Mines CSCI, RPM) Serch Spring / 75

49 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 0 Step 0 W=(0,0) Step W=() 2 2 0, Dntm (Mines CSCI, RPM) Serch Spring / 75

50 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit Step 2 W=(0,0) Step 3 W=((,0),(0,)) 2 2 0, Step 4 W=((0,)) Step 5 W=() 2 0,0 2 0,0,0,0 0, Dntm (Mines CSCI, RPM) Serch Spring / 75

51 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 2 Step 6 W=(0,0) Step 7 W=((,0),(0,)) 2 2 0, Step 8 W=((2,0),(,),(0,)) Step 9 W=((,),(0,)) 2 0,0,0 2 0,0, ,0 Dntm (Mines CSCI, RPM) Serch Spring / 75

52 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 2, continued Step 0 W=((0,)) Step W=((0,2)) 2 0,0 2 0,0,0,0 0, ,0, 0 2 2,0, 2 0 Step W=() 0,0,0 0, 2,0, 0,2 Dntm (Mines CSCI, RPM) Serch Spring / 75

53 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 3 Step 3 W=(0,0) Step 4 W=((,0),(0,)) 2 2 0, Step 5 W=((2,0),(,),(0,)) Step 6 W=((2,),(,),(0,)) 2 0,0,0 2 0,0, ,0 Dntm (Mines CSCI, RPM) Serch Spring / 75

54 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 3, continued Step 7 W=((,),(0,)) Step 8 W=((,2),(0,)) 2 0,0,0 2 0,0, , ,0, 2, 2, Step 9 W=((0,)) Step 20 W=((0,2)) 2 0,0 2 0,0,0,0 0, ,0, 0 2 2,0, 2,,2 2,,2 Dntm (Mines CSCI, RPM) Serch Spring / 75

55 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 3, continued 2 Step 2 W=() 2 0, ,0,0, 0, 0,2 2,,2 Dntm (Mines CSCI, RPM) Serch Spring / 75

56 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 4 Step 22 W=(0,0) Step 23 W=((,0),(0,)) 2 2 0, Step 24 W=((2,0),(,),(0,)) Step 25 W=((2,),(,),(0,)) 2 0,0,0 2 0,0, ,0 Dntm (Mines CSCI, RPM) Serch Spring / 75

57 More Serch Vritions Itertive-Deepening Serch Exmple: IDS Gridworld Depth limit 4, continued Step 26 W=((2,2),(,),(0,)) Step 27 W=((,),(0,)) 2 0,0,0 2 0,0, , ,0 2, 2, 2,2 Dntm (Mines CSCI, RPM) Serch Spring / 75

58 More Serch Vritions Itertive-Deepening Serch Hnoi Grph b (b), (), () b (), (b), () (), (), (b) b (b), (), () (), (b), () (), (), (b) b (, b), (), () b (), (, b), () (), (), (, b) b (b), (), () (), (, b), () (), (), (, b) (b), (), () (), (b), () (), (), (b) b (b), (), () b (), (b), () (), (), (b) b Dntm (Mines CSCI, RPM) Serch Spring / 75

59 More Serch Vritions Itertive-Deepening Serch Exercise: IDS Hnoi Depth limit 0 Dntm (Mines CSCI, RPM) Serch Spring / 75

60 More Serch Vritions Itertive-Deepening Serch Exercise: IDS Hnoi Depth limit Dntm (Mines CSCI, RPM) Serch Spring / 75

61 More Serch Vritions Itertive-Deepening Serch Exercise: IDS Hnoi Depth limit 2 Dntm (Mines CSCI, RPM) Serch Spring / 75

62 More Serch Vritions Itertive-Deepening Serch Exercise: IDS Hnoi Depth limit 2, continued Dntm (Mines CSCI, RPM) Serch Spring / 75

63 More Serch Vritions Itertive-Deepening Serch Exercise: IDS Hnoi Depth limit 3 Dntm (Mines CSCI, RPM) Serch Spring / 75

64 More Serch Vritions Itertive-Deepening Serch Exercise: IDS Hnoi Depth limit 3, continued Dntm (Mines CSCI, RPM) Serch Spring / 75

65 More Serch Vritions Bckwrd Serch Bckwrd Serch Outline. Strt from gol set 2. Follow trnsitions bckwrd to strt 3. End t strt stte Dntm (Mines CSCI, RPM) Serch Spring / 75

66 More Serch Vritions Bckwrd Serch Bckwrd Serch Algorithm Procedure bck-bfs(q 0, δ b, A) forech q A do 2 W b enqueue (q, W b ); // Queue 3 T b [q] nil; // Tree 4 while W b do 5 let q = dequeue (W b ) in 6 if q = q 0 then 7 return reverse-tree-pth (T b, q); 8 else 9 forech q δ b (q) do 0 if contins (T, q ) then T b [q ] q; 2 W b enqueue (q, W b ); 3 return nil; Dntm (Mines CSCI, RPM) Serch Spring / 75

67 More Serch Vritions Bckwrd Serch Reverse-Tree-Pth Procedure reverse-tree-pth(t, q) function rec(q) is 2 if q then // Recursive Cse 3 return cons(q, rec (T [q])) 4 else // Bse Cse: t the root 5 return nil 6 return rec (q);. rec(m) 2. cons(m, rec(d)) 3. cons(m, cons(d, rec())) 4. cons(m, cons(d, cons(, rec(nil)))) 5. cons(m, cons(d, cons(, nil))) 6. (m, d, ) Dntm (Mines CSCI, RPM) Serch Spring / 75

68 More Serch Vritions Bidirectionl Serch Bidirectionl Serch Bredth-First Serch e f g h i j k l m n o p q r s t u v w x y z α β γ δ ɛ ζ θ ι κ λ µ ν ξ π forwrd Bidirectionl Serch bckwrd π m ν ξ Dntm (Mines CSCI, RPM) Serch Spring / 75

69 More Serch Vritions Bidirectionl Serch Bredth-First vs Bidirectionl Serch Trees Bredth-First b d Bidirectionl 2b d/2 Dntm (Mines CSCI, RPM) Serch Spring / 75

70 More Serch Vritions Bidirectionl Serch BDS Algorithm Procedure bds(q 0, δ f, δ b, A) W f (q 0 ); // Init Forwrd Queue 2 T f [q] nil; // Init Forwrd Tree 3 forech q A do // Init Bckwrds 4 W b enqueue (q, W b ); // Bckwrd Queue 5 T b [q] nil; // Bckwrd Tree 6 while W f W b do /* Forwrd Step */ 7 (q, W f ) grow-bds (W f, T f, T b, δ f ) ; 8 if q then return bds-result (T f, T b, q) ; /* Bckwrd Step */ 9 (q, W b ) grow-bds (W b, T b, T f, δ b ) ; 0 if q then return bds-result (T f, T b, q) ; return nil; Dntm (Mines CSCI, RPM) Serch Spring / 75

71 More Serch Vritions Bidirectionl Serch BDS Algorithm Subroutines Procedure bds-grow(w, T, T o, δ) let q = dequeue (W ) in 2 forech q δ(q) do 3 if contins(t,q ) then 4 T [q ] q; 5 if contins(t o,q ) then // Found shred node 6 return (q,w); 7 else 8 W enqueue (q, W ) Procedure bds-result(t f, T b, q) /* Pth from root to q */ p f tree-pth (T f, q); /* Pth from q+ to gol */ 2 p b reverse-tree-pth (T b, T b [q]); 3 return ppend (p f, p b ); 9 return (nil,w); Dntm (Mines CSCI, RPM) Serch Spring / 75

72 More Serch Vritions Bidirectionl Serch Exmple: BDS Gridworld 2 0 Step 0 W f = ((0, 0)) W b = ((2, 2)) 0,0 2, Step W f = ((, 0), (0, )) W b = ((2, 2)) 0,0 2,2,0 0, 0 2 Step 2 W f = ((, 0), (0, )) Step 3 W f = ((0, ), (2, 0), (, )) 2 W b = ((, 2), (2, )) 0,0 2,2 2 W b = ((, 2), (2, )) 0,0 2, ,0 0,,2 2, 0 0,0 2 2,0, 0,,2 2, Dntm (Mines CSCI, RPM) Serch Spring / 75

73 More Serch Vritions Bidirectionl Serch Exmple: BDS Gridworld 2 0 Step 4 W f = ((0, ), (2, 0), (, )) W b = ((, 2), (2, )) 0,0 2,2,0 0,,2 2, 0 2 2,0, Dntm (Mines CSCI, RPM) Serch Spring / 75

74 More Serch Vritions Bidirectionl Serch Exercise: BDS Hnoi Dntm (Mines CSCI, RPM) Serch Spring / 75

75 More Serch Vritions Bidirectionl Serch Summry Plnning nd Serch Problems Bsic Serch Depth-First Serch Bredth-First Serch Properties of Serch nd Plnning More Serch Vritions Itertive-Deepening Serch Bckwrd Serch Bidirectionl Serch Dntm (Mines CSCI, RPM) Serch Spring / 75