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楼主 |
发表于 2008-3-18 13:10:54
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你好,这是我现在正在写着的程序,以上问题就在其中,请多指教
2 h* F/ [" ^% c; i0 @3 j" U; L _globals[! W% c6 _! m! U! V" S% V; [6 s
xmax: q; \, k* g& D1 X! M! |
ymax
[; y D; V, `. n4 nglobal-reputation-list9 D0 t( Q& C! L
- x( }) i. R8 O' U. a5 t5 |( }6 C
;;每一个turtle的全局声誉都存在此LIST中
: i+ U1 a* [" T. Fcredibility-list
" h$ ~2 y3 b. F, e2 _1 x. B;;每一个turtle的评价可信度+ I! _3 O6 K6 ~: o
honest-service
, X- e( |% q6 F& ~+ |2 bunhonest-service
* Z* u$ `; f7 P" N. K& C% ^oscillation4 G3 V: @2 \" H% O- z( g
rand-dynamic
; B, V" n4 U& G: ], S' Q! G7 s]
5 a \- k+ W9 O7 e1 p& e' p4 X# N" p) K
turtles-own[! k" A% ?+ [( q* }/ s* \
trade-record-all7 x/ d4 Q. G8 o- R. s& _2 j
;;a list of lists,由trade-record-one组成! s- }, e3 h! a6 q
trade-record-one# Z v+ ?8 @" F4 H" r; k \
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
# c. D0 P5 J" a- A/ G
. ? @- W: z9 J0 t5 z;;[对方turtle的编号,交易总次数,交易总金额,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]]. Z8 F, K' f T7 D
trade-record-current;;list,trade-record-one中的这个list,作为暂存用,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]
, }9 j/ f4 q( P+ {" Lcredibility-receive ;;list,他每个turtle还需要有一个存储其他turtle对其评价质量进行评价的list
9 y; b$ a1 `! z/ O9 |# {neighbor-total' ?7 ] i* K& R j
;;记录该turtle的邻居节点的数目
! E5 Q; s1 S$ J& D! F& Q" G8 [trade-time- M9 f6 D I/ Z s
;;当前发生交易的turtle的交易时间
3 G$ B1 X/ [: x# t& fappraise-give; f+ M0 M1 [9 j. k6 w. ^
;;当前发生交易时给出的评价
! q, x- j `3 G' c4 o" J. nappraise-receive
/ C1 q. [" k+ B, \ {: ? L;;当前发生交易时收到的评价; u0 t1 r6 A" a% S1 z) H% k
appraise-time
$ P9 b% l3 X4 p+ f- L;;当前发生交易时的评价时间
1 Q2 E) L$ Q$ Nlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉2 a, V0 j/ Y! U7 V6 v2 x- f
trade-times-total# E9 \% A' q# g" o* j. i& Q
;;与当前turtle的交易总次数7 h8 C, {! f6 z N) x9 `% @
trade-money-total
& [6 ]) z8 v7 S4 r8 X7 r3 v;;与当前turtle的交易总金额
3 `- b" G- `1 |! T' I* q* D9 ilocal-reputation( V+ d' g) {* ]! g6 t0 F; i
global-reputation
5 f/ m [% q% A) y7 u5 kcredibility( `: n( V; h7 s0 U* J
;;评价可信度,每次交易后都需要更新6 k7 P2 K$ w V8 Q0 m i2 ~& B
credibility-all4 \5 J6 ^4 \. R, j
;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
5 l+ c" }9 y8 j1 p
6 b$ J) f* I0 w. A- y3 Z- l2 H, E;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5
- ]7 |* j7 I. ?: E) Qcredibility-one% t8 `' I7 Z8 ], _3 Q" Y& y: O1 l* M
;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项
3 R4 P: |- N, c" ^global-proportion/ i5 a8 @; k8 ?) `
customer& m3 a) ]0 F0 }+ |- a
customer-no
. j2 N& E! y6 U6 M6 X! E2 ~( L' g7 `trust-ok9 H5 @+ N) I5 Y) r8 p: I
trade-record-one-len;;trade-record-one的长度
: @' Z z" ^: o& t( d6 Z) r) f]3 w) T8 z& D9 Y9 K
, y% o7 M, J0 \- P6 |' s
;;setup procedure
( S" \4 q5 e1 P: Y/ t2 a, m- T5 N/ W. D9 k6 I7 s( K3 p' F# A
to setup
2 W S4 u2 t7 f$ O) F% H
& {% k. s5 W; a, q$ p0 X: n9 ?ca! V' b* ]+ m* z: l* _5 @
% n: h$ p2 D' o+ x' H! minitialize-settings8 N% C0 P1 S; f3 P/ n- ]4 |2 {+ G
/ |7 j8 @7 o& j/ w) L. W9 \$ D' H- ]
crt people [setup-turtles]
3 h& S/ t' `& J
2 q8 D( D. i! S8 U M! v' {3 Ereset-timer/ T. t; O( j- F4 O( M
) J8 o0 ?- w% ]6 D
poll-class
+ m1 O1 V/ Q! N [. g7 {7 w2 k; K, u0 i) j: B. F
setup-plots
$ L r" U% d8 x+ N
3 [& @) x1 @; a, s' i" Rdo-plots9 D' g2 Q2 Q$ h( @2 n5 H: ^
end
9 _ t# U/ D& D7 e9 x5 F4 G( @; y( r W
to initialize-settings
$ ^9 n |" ]" G' w% v! J- @
) @- ~' E: {' [& r# R' L+ ?9 x# eset global-reputation-list []2 ^: N: D+ \, L4 S$ a# x
2 F4 m' c; f2 F4 ^
set credibility-list n-values people [0.5]0 r% `& ~, r* f: C# h) \
3 D6 ^0 i z7 Q) h4 O* B f* d
set honest-service 0
1 c+ r* R8 h( y* ], u, e
9 I* o$ i3 |* w/ ~- F/ iset unhonest-service 0
3 m0 \8 s! ~6 M$ m, F! I0 A' L: D8 y+ n: l' Q6 o4 t2 P
set oscillation 0
) o6 I3 Y( `! x+ d8 b8 Z" ^& c% F/ `
set rand-dynamic 0
) M+ O8 i; L8 t6 l. t# nend" m0 E: ]# b* d. w
+ r5 s8 L* w W+ Uto setup-turtles
2 p3 W5 x; l4 i2 d3 b5 cset shape "person"9 W% b! b* X+ H3 e# P5 K7 R
setxy random-xcor random-ycor
6 S* l+ H! T+ b9 ]1 vset trade-record-one []- m7 A5 m* f* d. W" V
: N3 I) D) n; R; k" ?
set trade-record-all n-values people [(list (? + 1) 0 0)] , s# o% q1 ^. U3 x! @
3 O. x/ C4 {( M" Y
set trade-record-current []
1 |+ L# P6 z8 P" i) Z1 l& X) cset credibility-receive []' D" q* n7 o2 q" g$ t" \
set local-reputation 0.5
# W5 q; S3 i& Z* _7 q# @set neighbor-total 0
7 c" t6 H. _: h R- Y+ C) v7 Pset trade-times-total 0; m8 h0 M, q e# e; R
set trade-money-total 08 h" k5 l# i3 g ~% I
set customer nobody, s# }0 A, m& Y- K' H; K4 V
set credibility-all n-values people [creat-credibility]7 S* k5 l0 D9 S; J u P
set credibility n-values people [-1]
3 _1 {0 }0 r! q* ?& \get-color# }$ l, L. O, r
# |2 r& j" G2 l+ {end3 r0 Y8 N" v! l G9 n; L. O
. `' g3 w O' T
to-report creat-credibility% A9 | }6 X/ J5 m9 \4 a
report n-values people [0.5]
8 I ?# W8 l, P; {end4 P, \ s4 y; W* [! k: J8 h; d
$ L& E' d* u/ ]
to setup-plots
2 ]8 R, y) \( p$ U; Q% A* n. {# s6 l
set xmax 303 Z& T6 q. z# X+ ]" R6 g! V3 Q( G( G
, H+ R! I- N8 u
set ymax 1.0
8 x* ]8 A+ n2 [. `2 v/ ?" L: k2 R4 @0 l- X' n1 W- P
clear-all-plots# D. H7 H5 H$ c1 n4 L
^4 `$ d0 P5 Q* a+ k* R1 D8 psetup-plot1
- i$ @ X9 n% C+ v; g& T
! O! z+ e) N3 ?. O( Q, dsetup-plot22 [- m) q! `0 K+ U
9 P5 B* p- O8 Y" w2 z% ^9 Msetup-plot3; J1 A1 G0 Z; L; S0 E% i$ D) j- J% b
end3 \' _; d; `: v5 S1 }
5 X2 Z& J3 q; D! T. D' W' u
;;run time procedures( N6 V% R/ ^' @
/ W+ v1 p1 a, E
to go. l6 x9 t: ~8 e
! D* o7 g7 i; [6 V8 I- bask turtles [do-business]9 z& L/ M/ C. e/ X/ |( m
end
4 j" `; E7 J* ~$ z& t! |+ x9 h( y* h2 p! I( {/ A' p7 G
to do-business - j. |: g0 ~5 @6 o8 k" U
0 }) p$ D ?) l( M
2 T* j( ~) t# a) ^
rt random 360- D- F5 T/ m! s4 }
. A& T% z5 `( _, T0 D1 \1 I
fd 1
! N$ E2 R6 ?9 a- I( h0 n
7 m4 e( d9 f' O2 K4 Oifelse(other turtles-here != nobody)[9 u1 x0 x5 Y* B; l6 ]
( ?- U9 t% ]4 b2 cset customer one-of other turtles-here
+ \# U4 l( q: J! J6 w6 a$ Z
C+ j: s5 N! h9 x;; set [customer] of customer myself/ w7 L) h, x) y; _% X0 a
! j! `9 Z3 j+ u) ]. G Wset [trade-record-one] of self item (([who] of customer) - 1)
& t# L$ [7 o" q$ `0 v[trade-record-all]of self8 E, J- n/ M. i& |1 E' t5 v2 D- v
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self- v/ H: C8 [' f9 ?' m
" O& ^7 m' b$ g1 n; Wset [trade-record-one] of customer item (([who] of self) - 1)
0 T V; ?( }0 R" q1 k[trade-record-all]of customer, t! N. w0 m) P1 t1 x- [0 Z# j
" Y+ ~% x( s2 S5 T: S9 X
set [trade-record-one-len] of self length [trade-record-one] of self
' L0 ] h; d- d; M# x, N
0 `: S+ v% E [! D8 Jset trade-record-current( list (timer) (random money-upper-limit))# @) d4 F# ?" _ R" t
b: m" Y q: p3 u; N d( {ask self [do-trust]. ?) Q- f! e: b9 G# R. _
;;先求i对j的信任度. |: F# n" G i+ u0 X
5 A( ?& z4 E6 _9 V# t# ~" \2 x- q( \
if ([trust-ok] of self)+ N: A3 ]/ F. R8 x# y4 p5 \* V: p
;;根据i对j的信任度来决定是否与j进行交易[
) }' Y! l, }1 c0 b7 G+ {( l" Jask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself' f! H* F: k: B: G
9 d" O) u4 q6 G+ {$ e[
8 _5 S: b3 q; ?2 f& \# p- y$ C$ @6 `+ g& M5 O) B
do-trade E0 B E! b( H% t, }# a
! K8 _! I+ u, ?9 L5 dupdate-credibility-ijl
% H5 ~1 C, ?; q9 ?8 o1 e' e& u/ z
update-credibility-list' H( ~+ |: R. v# t
( B( d) B9 @: Y0 p$ ]
5 ^: I2 S; x5 [7 {! pupdate-global-reputation-list
' q t3 S& ?4 U% h- Z# L
4 V- ]; ~1 J: O1 x* i/ V( Vpoll-class
b- K. T9 g7 Z, @" }5 t( R% _" _9 p9 k9 o5 _
get-color
m. q, f. } O) c, ` o4 M# n/ d! C l7 d& C% j8 v
]]
$ O+ `1 T* v/ f S0 q* D
5 p6 t1 o( m: v$ }$ G( ]; J+ v5 h# _;;如果所得的信任度满足条件,则进行交易
# s% S9 G: L: j; }9 d+ F% w, n( B& y m: S
3 v' S" [/ ~' h" b[
. I4 w" N* n X) g. P$ I! \6 o, z/ \4 \5 R
rt random 360. E* y3 [9 |& z3 m9 Z) d: X
{4 h% Q0 k/ O( ]8 m3 R- G
fd 1
) C6 P" U5 X1 O$ M& Z* h0 R s4 ~# r8 j+ Y
]
5 |8 d8 g; P: B2 g& Q* s1 H& A- Q( X& `
end( e O! M2 X. c$ s" ^6 n/ z
& I( H" e/ u6 v* ]
to do-trust
; M$ G# S* x; ^/ H) e( z2 ~0 ^set trust-ok False
' i! C3 w( q; D
9 J6 q& d3 U, ^) U# A) H
* t+ G7 @$ J" F- M. o: q) plet max-trade-times 0
; {: [5 n' e8 b9 I) S! ]foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: h- S) F+ G8 {( slet max-trade-money 0
, ^- S! L1 H" ?* p. Aforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( R% V: v' T) p
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
5 K3 \- a9 z1 W+ t7 O0 }1 O2 q$ k" D- W. Z
7 J9 r5 ~ Y$ D6 Q9 Y' `. T
get-global-proportion4 c6 e S" c& `1 P7 Q0 B
let trust-value# E8 v; f& i3 A: D4 S& H
local-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
* x0 Q, d; e- z8 b. Aif(trust-value > trade-trust-value)6 Z2 ]3 D" z2 A' {% F
[set trust-ok true]" b8 j" O" c5 r. u8 z
end
* U$ ~0 u, \( j5 ]; K
* B, r6 c4 o6 E1 [2 Yto get-global-proportion3 ]" }1 ]0 M/ |2 O [
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
/ p" [/ `* |6 \! c1 [& |1 t& [! r3 {0 u[set global-proportion 0]
) Y, g9 `# H- s9 B[let i 0
7 j# E7 e* h0 i' f1 G, ]; Plet sum-money 07 x; N9 \, s3 }6 T( p2 }7 ]9 x
while[ i < people]( A+ i% }# ` ?( A( Y+ a
[
2 ^$ b P& e0 k% ]if( length (item i
9 `8 Z8 L q0 Y( s( e[trade-record-all] of customer) > 3 )
' b: q% M( n" a a1 o# E[
$ |2 Q* s# [3 e4 y# C) {$ Xset sum-money (sum-money + item 2(item i [trade-record-all] of myself))" X$ v& {5 x% ^
]: j! N' H3 C8 B) n( M
]5 o, v/ K% g+ E; R- {
let j 09 ?6 E% W# @: J% g& G4 L* p+ e1 K9 A
let note 0
- |8 e- D: \& J& u! ^* m3 W) jwhile[ j < people]
8 ?% G" |4 U! a[
9 Z6 M8 \ G; D" S. S6 V! A$ g! |if( length (item i) E* C: ]& \0 Q2 x. M
[trade-record-all] of customer) > 3 )
: M4 N) y4 Y9 a% |1 V/ }0 u[
( n8 {% g% q! K0 C: D% Nifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
/ J( ^) B) k. L+ a, j[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]" {7 E* q6 K J4 h2 A- Q
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]7 `( V+ C7 u2 N% W
]
4 X1 n. @( A4 \1 E- n]) ], `, }# e( n, p I. I
set global-proportion note
* W& U" u2 [( u' B. H0 V' u]
% s2 X' Y, V9 b0 Y8 \+ v Xend
' W& o( P5 F- k; n7 r/ i" w, l# \* c* H$ Z* X* K0 ^
to do-trade
6 K$ u% j) ?# l1 {: s8 i5 f g;;这个过程实际上是给双方作出评价的过程
/ V. P5 ]8 p d; ]. ]% Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
* Q5 C9 S5 U2 X, ]set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
/ y8 `# O2 t* d, Eset trade-record-current lput(timer) trade-record-current; j: @$ ^" z+ ^# P7 X; q
;;评价时间; p. M" K2 `) b S' K. \
ask myself [5 Z8 w @8 t7 B$ o! Z* ]1 x
update-local-reputation
& w. J- y" ]0 }/ t4 y# @2 _" }set trade-record-current lput([local-reputation] of myself) trade-record-current+ R# G$ i4 e; K/ E( t8 a% c8 Y
]
% e1 y0 I8 K9 w* `- kset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
" [: N% J% A% ?0 N! ?;;将此次交易的记录加入到trade-record-one中9 }, L6 U) u( `! `
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)8 W7 C K) i7 v7 Q
let note (item 2 trade-record-current )
8 F' r* A/ B3 v: N0 ^1 Eset trade-record-current
, U& U& S6 F/ t(replace-item 2 trade-record-current (item 3 trade-record-current)) D5 C7 G4 M$ a9 y5 ^% ?
set trade-record-current6 V3 ~5 w0 ]5 t8 D( Q* x8 o4 w
(replace-item 3 trade-record-current note)
# r- z+ a3 z4 z" N8 |$ W( H1 ?+ M& e) M% j2 x" @8 _
# K3 i" E) e% z1 Task customer [7 _ I# B' q$ h- B0 p
update-local-reputation
U0 j3 k7 u* U7 u' _9 ]1 y- \& E$ kset trade-record-current
8 E3 P n/ E& l(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) " f' G: @1 ]# N# l* r! u
]9 b" x5 e# u% M8 C: {4 T( e
! c! C& W$ V: ?
' L3 L. v% O/ W0 `2 [set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer/ q& m5 A# v b
: E$ g+ d7 G) P7 t4 e* uset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))" T- X* ]3 L3 j( o0 V' ?
;;将此次交易的记录加入到customer的trade-record-all中- }* x) u6 Q2 s. N x
end/ C9 b* M( B, u
. J( `% p6 M3 |1 B1 pto update-local-reputation/ u1 w% q- j2 e
set [trade-record-one-len] of myself length [trade-record-one] of myself
* b) V d; ^7 C
O- w! [$ }: G' C$ ~* ~' z8 H7 S9 n" j: o5 [' v
;;if [trade-record-one-len] of myself > 3 1 c- n% d c1 q/ D
update-neighbor-total
6 x, ~* W* \9 L# M+ O& K;;更新邻居节点的数目,在此进行+ S* h7 o; U* t S& a" f7 \5 D
let i 32 M4 \* N' s9 R
let sum-time 0# u9 C1 l& }: T7 `
while[i < [trade-record-one-len] of myself]& I @2 D9 p2 Q' i3 T
[% o, r" }2 A' p( E& `7 N
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
+ Y0 V4 ]4 p. s4 O2 w8 Q; r* ^set i1 Z- q' q& f9 a* Q
( i + 1)
o; Z3 ^7 f+ ?8 Q0 K6 I8 h]
. w: z7 n0 q- R4 A+ P7 W$ mlet j 3
8 W1 q) i* ^. {9 q, Y8 C6 xlet sum-money 0
( P2 R _1 w8 e$ }) T5 Nwhile[j < [trade-record-one-len] of myself]- b& D" J$ W; R4 c0 c$ D
[* R+ I+ X8 ?' [9 u
set sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time), x) _. x/ W; i6 C0 i( P6 ~9 W
set j
v# u4 ~& E# x' D8 d( j + 1)3 i( o) x1 k! h' A' U( |* W
]
5 l& T7 m3 u" d! Q, M" `# f. llet k 3
0 G4 F2 Z0 i8 `3 ?9 H0 ~( P! r. q6 y# {% ylet power 0# h; x' q* N& G2 f" h" g {" I' [
let local 0
$ d4 G/ `! X) r) H) d6 H7 P, l; Qwhile [k <[trade-record-one-len] of myself]. y2 ^. w' j- J+ ]
[( |- U8 k2 U- g, E: a3 I0 m
set local (local + (item 0 (item k [trade-record-one] of myself)) * (item 1 (item k [trade-record-one] of myself)) * (item 2 (item k [trade-record-one] of myself)) / sum-time / sum-money) ' q9 m, N. y3 {4 o& a" x8 a
set k (k + 1)
/ F+ V6 X9 A; ?% a3 i]
/ ?5 k' m2 f" D# nset [local-reputation] of myself (local); \& Z7 c- C2 ^& u) t/ B
end
% i0 E; s" k. I! O) d
3 \7 N& g9 s$ R Qto update-neighbor-total
7 i$ T: |3 M8 H
: X' d2 a6 r2 W5 W, Qif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]# C* t* u$ m Q2 _: v) b
# M" [" Z9 q, J7 s, f U
9 U' N/ C- I' w Qend
$ @3 G2 U; F1 s. T# `0 ~+ B. y* U; x' g- x9 i8 i
to update-credibility-ijl 9 h. Q* C( y: ^9 ^. d
) k+ i& x2 S2 e9 G' ~. \
;;思路:每一次,当一个turtle发和另一个turtle成功发生交易作出了评价之后,就去搜索本次交易对象的邻居节点,对这些邻居节点的评价质量作出评价。0 u6 S! q V$ {, E8 V: a6 S
let l 0( [0 m x7 s) t' y
while[ l < people ]
5 E, w. M% S9 z;;对j的邻居节点的trade-record进行扫描,以对j的邻居节点的评价质量进行评价2 N0 M1 l9 r( r' T( l8 W$ ^
[
* J& L2 d& }% }$ @" plet trade-record-one-j-l-len length item l ([trade-record-all] of customer); J+ u+ _! ], r' {2 P" z. b( w/ f$ _+ F
if (trade-record-one-j-l-len > 3)& a7 N' _3 p4 _
[let trade-record-one-j-l item l ([trade-record-all] of customer);;暂存那个评价质量正在被评价的turtle j的与l的trade-record-one
( E1 k9 m! g1 f* e, Elet i 3
: I. d: L% @' W- {, Q# Q" |' \let sum-time 0! }( m+ L) C; H3 s
while[i < trade-record-one-len]# h" I( v& a: l% O% w4 m
[
& y# G# \ Z- J6 Oset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
4 ?. U9 F3 w( h- K% zset i3 m$ G6 D7 _9 ^% s; k# N# I
( i + 1)
+ }) A/ e# a6 K% G& y5 J/ L! m]
5 A, I* d9 X+ p5 h* D1 r. H4 Z: R+ Zlet credibility-i-j-l 0
' Y! W; z+ s) G$ B& Q;;i评价(j对jl的评价)
1 @, R- w2 ^" w$ Z9 z& S9 z) `let j 3
t# ~3 w* m4 p: e5 ^& J7 elet k 4
( t( T! u8 _9 A/ w5 ^while[j < trade-record-one-len]9 H2 u4 o: \. v* ]( Z8 c1 ^
[
. l# _; d" O( y: m. r l% \6 r, Lwhile [((item 4(item j [trade-record-one] of myself)) - item 4(item k trade-record-one-j-l)) > 0][set k (k + 1)];;首先要寻找在i第k次给l评价的这一时刻,l相对于j的局部声誉
5 Q2 U: J" e! j6 ?0 @, O$ S7 B7 y W6 Rset credibility-i-j-l ( credibility-i-j-l + (item 4(item j [trade-record-one] of myself)) * (1 - abs ((item 3(item j [trade-record-one] of myself)) - item 5 (item k trade-record-one-j-l) ) )/ sum-time)
2 P' k( F3 P; W2 l# H7 r0 nset j* m: B6 T' F3 j2 [) Q) ]- j! ^
( j + 1)8 D0 A E; v5 t# W
]9 D+ y6 o3 Y0 E1 | V
set [credibility-all] of turtle l (replace-item ([who] of myself - 1)([credibility-all] of turtle l)(replace-item ([who] of customer - 1) (item ([who] of myself - 1) [credibility-all] of turtle l) credibility-i-j-l ))
/ K$ x2 k' c) C* A9 c+ T+ |$ U
2 V! I5 m/ q5 y. E- A. E7 u0 A0 u( ~& z; Q3 j) z# ]) M
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))( T0 z) z2 I0 T' T" L. a
;;及时更新i对l的评价质量的评价
# l; {( w n1 mset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]3 {) J" G9 @$ P) R5 s. A
set l (l + 1)
% e: a2 x/ @' F8 Z. y0 u]
3 J) A4 @$ |" N, [3 Hend
8 M/ F8 |( ~% I% T) [+ Q2 o1 Z0 `1 M |8 v* e
to update-credibility-list) s3 C( x1 ?! ?7 Y1 {
let i 0
/ C2 F, ], M. ?* r9 swhile[i < people]
: o2 X! n' c& m$ S: ^6 [1 `9 f- h+ c[
: V) s& q% b& Q: j* ?4 }" Ilet j 0
2 d- P: m' _# ^! _' R, Wlet note 0( m3 W2 e8 z0 C$ s, s* j
let k 0
+ X5 n+ r/ J2 |5 l {/ D;;计作出过评价的邻居节点的数目
# L9 X" M* A0 ^5 uwhile[j < people]* H/ [9 e, B8 K6 Z
[% A* ? S0 R% }& g7 p
if (item j( [credibility] of turtle (i + 1)) != -1)
& _5 j4 t2 M# j' i;;判断是否给本turtle的评价质量做出过评价的节点
1 X# z1 H# u/ F[set note (note + item j ([credibility]of turtle (i + 1)))& x4 G% T- R. r) m
;;*(exp (-(people - 2)))/(people - 2))] D# _% A2 p2 r- C8 _. }6 u1 R0 Q
set k (k + 1)3 C% P. s& Z6 }& m7 q7 T% e& g, f* z; q
] s4 G1 U1 Y2 b: R6 G8 Q4 q2 G
set j (j + 1)8 j" r, M2 P9 P4 G/ ?
]/ h/ Y8 D+ e; H M: U
set note (note *(exp (- (1 / k)))/ k)
5 h: g8 W6 P5 T T! zset credibility-list (replace-item i credibility-list note)$ a; j4 Z$ Q% c1 x3 S
set i (i + 1)& j& ~. ?; I5 B1 ~; B
]) v6 H$ V. V' A( j
end9 v' N/ m: K: O, t6 y, i
H- P$ Q4 ]2 S5 @to update-global-reputation-list; K$ V. j4 d+ k8 v( i5 C
let j 0
7 Q" t; P( }# Hwhile[j < people]
' Q, d6 m$ J6 ~7 ^- F[# n( ~+ a% U9 V7 o! |
let new 04 p) o1 _( P8 f8 N7 q/ E i
;;暂存新的一个全局声誉 a9 c% V/ M8 Z3 V5 u
let i 0 V4 I, D+ i& ~! z/ p+ y
let sum-money 0$ u# M% M! E* ^6 V* J7 Z
let credibility-money 0+ p0 r. f% R2 _1 H) i# ?( p
while [i < people]- m4 r1 X- _0 J5 C0 m- P
[
+ }, {0 p, H( K; e1 [# Bset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))$ f; x# L; n) ^# @9 v+ g0 b
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))$ i; h0 n+ E# F
set i (i + 1)$ r+ b, M- {2 l
]
. k' v5 U0 D3 c/ Vlet k 0
. h5 J- H. v5 U. a: I2 o1 Jlet new1 0
# x# N# i/ z/ v; fwhile [k < people]! {5 a% T: q3 k7 \1 ?7 _4 S
[3 k, C5 v% R- |! n; c# t6 ~( a
set new1 (new1 + (item k credibility-list)* item 2(item k [trade-record-all] of turtle (j + 1))* (item 5 (last (item k [trade-record-all] of turtle(j + 1)))) / credibility-money)
* p" |2 X7 {" W- p4 T! [" M2 Oset k (k + 1)
( K; P9 g7 S1 ?# H2 o]
* G0 m1 \# Z/ w7 J$ Xset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) . B% }# l( T' p4 Q5 I
set global-reputation-list (replace-item j global-reputation-list new)
; E! f' W2 G+ [set j (j + 1)
& p% d) [0 H7 J9 O, L+ Q' J]
, i+ ?) Q* @; i( }3 nend
, W% m5 R+ Y9 w/ {! b3 T+ L0 P
" H: `9 l# L* G9 ^! g( D' D3 O, Q/ V' r- [2 l- f$ t
% j, Q8 E4 F" q) w& V" Ato get-color
" b8 T9 @- M3 I& k. ]
+ g0 p3 Q; I% I" Fset color blue* d3 {8 R. t. f2 E. V U
end, Q2 `" ?+ O5 a3 Y* m( \4 ]5 V
3 {8 h+ W6 a1 P8 ]; ?, oto poll-class% w5 E' `" Q7 W" F
end. M' ~( y% D2 f* o
: P+ }% g( U! q& U: E; K4 S
to setup-plot1
9 k/ Q a0 ]1 O6 H) ^4 d/ {# P$ K q2 j- n5 V
set-current-plot "Trends-of-Local-reputation"
; ^' }0 d8 Z; O1 n
1 M% G0 k1 `9 }, L' s4 R2 d. N9 Bset-plot-x-range 0 xmax
' O0 }6 p- N0 @2 ~+ f0 f8 D. b1 k! F$ f
set-plot-y-range 0.0 ymax
+ ~9 e# i! k. l6 Tend; {! l# I4 n2 ~1 Q% C& S$ d1 n5 Y% l
# _5 N3 n [* V. C2 w
to setup-plot2
6 U: D. M; l. D* s5 ~* Y$ G
0 n& w- }* u& `! G5 Dset-current-plot "Trends-of-global-reputation"
% E @% q( F" U* d, H$ _& s8 W2 o7 F( @
set-plot-x-range 0 xmax0 A* s# t( f2 ]
8 @$ P6 d5 Y/ ?0 Q d
set-plot-y-range 0.0 ymax) ?# g9 ]2 |6 Z; t8 L! C9 `7 D
end: Y) T$ E7 ^. B! l1 m
) G) Q5 |. X8 Y% p+ j/ {& ?
to setup-plot3
( Q8 s$ |+ I# P7 o1 s- E9 d
% C! U5 `2 V# m! mset-current-plot "Trends-of-credibility"
" S1 \( r1 L1 ~1 ?2 g8 ^& e" B2 [6 L9 c0 X/ v
set-plot-x-range 0 xmax- i8 ]3 x. D) P5 \2 A3 |
" q8 w+ l) C k6 n5 d& k
set-plot-y-range 0.0 ymax' L4 M' V7 N6 S
end
- V _# O$ F' u( `
9 x1 X8 y9 Q0 @+ a- [to do-plots
6 t: `. U& J- R8 i: _2 D8 e5 kset-current-plot "Trends-of-Local-reputation"/ c3 h2 C7 g& h T; u6 d7 h O0 a
set-current-plot-pen "Honest service"+ c4 `9 N1 V/ u6 z- X9 M
end" U1 d1 I2 z) J9 N5 P
# B- i; Q F9 g) H[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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