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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
, q3 o$ U: U# a4 M0 gglobals[9 C3 ?# H9 k9 t+ M$ c; C
xmax
/ Z# \* C! l5 L" kymax) D( w+ B! j& j4 D
global-reputation-list
& a) z, E4 |* }& q" y6 l- ]) K; g- l' }/ f% R, Z1 M0 c( w% J
;;每一个turtle的全局声誉都存在此LIST中
1 B" \+ s7 e2 b) t: Xcredibility-list" U7 A$ N0 O. w& z% y) V5 U
;;每一个turtle的评价可信度7 C9 u. C) W- C" _: N9 e6 Q* r
honest-service
; L$ O, ]$ @0 i% g; b+ u7 gunhonest-service
% h6 M) E0 h6 g. _, doscillation) D0 G/ |' r) ^+ i- |# M: g; H5 ~
rand-dynamic
5 @+ p# R/ z2 P; M" a]+ l" B/ }, A f( b$ O
+ G0 Z$ j) J- k* U4 F- vturtles-own[5 F% W4 A9 C [+ s
trade-record-all9 b& k) j3 n9 D- ]" M
;;a list of lists,由trade-record-one组成, c* b5 y( ~5 g; i6 G5 s7 a3 O( A
trade-record-one
& O2 a* w2 C/ ~3 m! D8 D/ \" f6 M;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录4 {' Z; E; N3 N6 {& s! l, }
( @- O4 v8 }+ ?) @+ b4 G, [
;;[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]]
0 S2 a' c0 e: E K9 l$ Wtrade-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]
& I) l/ ^. {6 m3 Q% r! Q. o6 tcredibility-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list7 r1 f/ Z& p @- c- G
neighbor-total
F$ Z4 b3 A7 v' E6 ~$ p4 j;;记录该turtle的邻居节点的数目+ u: `, Q3 y* w
trade-time
( p& }) ?1 }' Z* y;;当前发生交易的turtle的交易时间
6 T- L' o( N- s& Z5 l$ n! Jappraise-give r m. l' R5 ~- f3 H
;;当前发生交易时给出的评价. }5 y' f1 s, f
appraise-receive9 P. z' x- \5 J- G2 ]) T
;;当前发生交易时收到的评价
- K; ^# k+ U' H) Z# H' @% t3 o, Gappraise-time" @3 a+ d' o U/ e0 r- L
;;当前发生交易时的评价时间: z$ {# t" j* i2 F
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
' ?8 r Q+ r6 N' K5 |/ M2 Rtrade-times-total
& K! a) [6 `: [, q& R;;与当前turtle的交易总次数
0 }+ T; G* l0 ^( |trade-money-total! p3 p, i7 o7 ^9 o0 q. x# p
;;与当前turtle的交易总金额1 d# r) `# V' F$ m+ Q: V( x
local-reputation
: @. s' G# U* `. ^2 wglobal-reputation3 u& O8 f" b" ~# u' F; H1 A
credibility4 M- ~! s( V% c6 t+ N0 {+ b
;;评价可信度,每次交易后都需要更新
! X7 n5 B: ^6 y G" Rcredibility-all
) m- f- F; \% L, c;;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, R! G6 C) S' ~, |. k! s
/ R! h' y1 ~- ^6 u;;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
w- J8 S. ~3 y0 j& C, E) P acredibility-one* D! h! }; U( ^6 P
;;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
; ]9 c5 y/ w! l) b0 Hglobal-proportion
/ N, d% a# q5 r' zcustomer
* K9 M _7 r2 G* \customer-no
+ ]! p+ X; o3 I6 Strust-ok: U: Q7 _3 p- K$ W) K( _
trade-record-one-len;;trade-record-one的长度
9 L$ M" P# |* y]- B! N% _: Y( i6 o' |9 {- ^6 h
( T0 H% t+ m- B. s( K
;;setup procedure L/ k! r5 ]+ h- y. V
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to setup% w! B5 j. I& e! k" s
3 b% a4 ^+ w4 C) M( _' c+ e5 u( a+ dca" Z0 s t* R5 i/ D8 s
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initialize-settings8 K `5 Z# I5 Z' s1 m- o
6 Y9 V! [- _( I- _4 l3 W
crt people [setup-turtles]
9 {4 W$ ], ?* i9 y; J
4 x- X% Q! M. R1 xreset-timer8 C' L: P4 q0 r4 o
9 v" u6 `; i8 z% qpoll-class
& j" y5 g( a# r: a% I l
* j) Z# n. G6 j# u* n/ P* jsetup-plots
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do-plots
& l/ ?" C/ E8 e3 X& kend
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to initialize-settings
+ O% @' N9 Y' D
7 T" o% X& {+ x; M2 z# qset global-reputation-list []+ a4 ?) ?1 z7 o) q. j+ J5 k
$ [& t* G4 `7 W$ }
set credibility-list n-values people [0.5]) P2 X' L* q* O! n
3 |4 D' M# h$ c( W- _set honest-service 0& R# R- Z' h, f% ~" k5 C! y: |
; |9 ]' t6 a& J. i
set unhonest-service 0
8 q7 I3 T; i+ O$ S3 T0 w
) S. T- q. r% Qset oscillation 0* T1 X, X* m6 m; w0 K! @; Y+ u) ` s
* n2 I2 U7 e" }* {
set rand-dynamic 0
8 O" l1 i5 b$ o7 I# a8 Qend, Q% B$ k4 O% y5 h. j$ Q! I
5 A) L; X/ E% u- c& d
to setup-turtles
# R2 [8 }6 g. V& Aset shape "person"# M+ S8 u3 z @$ a; G. S* r9 b
setxy random-xcor random-ycor
( z8 L4 u2 u- ?) |. |( hset trade-record-one []/ Z/ }+ e6 Q" b3 F$ `% B% @" N
' Y0 y) |) M& N6 G, J& F
set trade-record-all n-values people [(list (? + 1) 0 0)] 5 ^' s9 ]5 G/ {: B( }% m0 `5 x
+ F& q2 }; Z9 ^( M5 B: C/ s) }set trade-record-current []5 f; ~" a) P- i1 {5 V- }
set credibility-receive []6 T' {7 s9 F" z
set local-reputation 0.5: A/ ^2 u Z5 v" Q, f
set neighbor-total 0
" M+ A3 U+ d9 ^ tset trade-times-total 07 k, O( V/ K S$ L: [
set trade-money-total 05 {, u8 {8 k- _: \( O. z5 N
set customer nobody
' ~ B; I ^+ Jset credibility-all n-values people [creat-credibility]
) P+ M8 H3 _1 |( i# g$ Mset credibility n-values people [-1]+ e7 B# k4 n- l3 X& b6 Y* I% K
get-color% N' ^: K# I+ j9 `; [# H/ P4 d
: C& ~, [, F2 _: m+ T- p
end, q" R2 i/ F$ h/ o4 r( @% V
/ R# b1 i, | e2 _% Rto-report creat-credibility# G+ H& z# c- H) ?* e6 j
report n-values people [0.5]+ X: }8 c- T' G( t5 y' ~
end5 I) k4 u6 z& e: b; {0 ?8 \; Z/ S% @
: \8 S1 B* \- }& H% h
to setup-plots8 c; U+ Q3 j- x0 t
& h/ M! u. j& E" t4 C) S
set xmax 30
( `' h' B& g; X2 _/ d& Y- x4 \) V( G# z8 o1 Z. W! @
set ymax 1.0: D+ Z) C& e! P3 V
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clear-all-plots$ U* T2 a1 I# M) Q
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setup-plot1
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setup-plot2
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7 m+ ?( I/ ?9 i. X* H, q7 Ysetup-plot3
/ F: l" \' K @! \! Pend
K# a/ E: f3 o R9 t9 |1 Q# a% _$ [3 x4 K$ e
;;run time procedures
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to go/ a" f; J3 w5 q+ V) Y
! D6 Z: ~) h+ hask turtles [do-business]
7 z) K. |- W X3 yend) f* {& Z+ Q' K/ w8 Z# H
* D# z* ?8 N' }4 b
to do-business
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# Y2 a- D+ ]# ~! v* u
rt random 360
1 _: r) \' a2 B3 g5 E8 i" {9 V# f9 k9 B- r7 ~ k, O6 i
fd 1
2 m: h5 @0 F+ P6 _. x* J7 }6 w/ W* l0 W2 |: x
ifelse(other turtles-here != nobody)[
8 {4 I" t' k0 K# |( x
0 r1 F" t- u6 d5 ^3 r u! yset customer one-of other turtles-here1 q4 P$ g/ {$ r1 c
- M8 ^* x2 o3 j6 b+ X; I u" O4 `
;; set [customer] of customer myself
$ G% r# ]& {/ E5 g+ d
: e! Q3 p- K/ Y$ R! Gset [trade-record-one] of self item (([who] of customer) - 1)9 _: k3 s$ O6 a! e: ^* E( n7 ~
[trade-record-all]of self9 C3 r& }$ s5 ]
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self: E- X3 V! x5 D+ k! }& h! z
: S/ I4 X* [' S& Dset [trade-record-one] of customer item (([who] of self) - 1)
, J. [3 B X" L+ a[trade-record-all]of customer
; Z9 Q) g3 o( O& b) r! e; z# S- v
% B- O) O6 }. n& p8 ?- \set [trade-record-one-len] of self length [trade-record-one] of self$ e i5 k7 Y' t7 l# k1 i
5 I! v+ z4 y) Qset trade-record-current( list (timer) (random money-upper-limit))
$ P# o) [7 P! {3 n; ]. M3 A/ T! n& Z" e0 e: g! {7 I- p
ask self [do-trust]4 T5 W& t6 V/ b2 i2 B; e
;;先求i对j的信任度
: w9 n8 U8 @' }( \
H) x. [9 F0 x- \- v* [5 \ r# P" Eif ([trust-ok] of self)
8 {9 o( i6 K$ C/ W5 y' z3 V;;根据i对j的信任度来决定是否与j进行交易[
; G8 U7 `! X( @4 I8 j3 \4 S5 H8 dask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself! ~8 d+ `8 n0 M% p1 ?# C
3 b& x8 F8 g' l9 L/ b) B
[
) y$ ~( B3 Z+ B& g, ?
7 H, F: }! `' h. }4 ]do-trade
4 L' }, L% f# w; V4 _$ [: S+ y$ d" f: i0 @: u
update-credibility-ijl+ c( T( b5 @# W
% f, M& D, ^! Y2 `2 z( V
update-credibility-list. _! d6 e0 z7 q; W9 w s
, E4 r/ L" O& J' O: M" r {+ o- @9 w* [1 _$ z
update-global-reputation-list
6 R1 J7 X% {4 F$ ^6 Z
& i! h% c5 m, k8 ^poll-class
, G) Q5 y. \0 Q1 z4 s' T! ]& v( ~% [ \
get-color
2 ? \# t* d1 u5 A# E; |5 |. ?6 `8 K; r- d
]]7 q: j6 b4 j3 C7 k5 y" Y3 B
% G# u5 g# {# D) V l$ z* V6 r
;;如果所得的信任度满足条件,则进行交易
~2 v! Q) | k$ v3 [
( W2 Z: M# E6 K1 e[
7 ]* v |/ o& j2 A9 ~
! L4 V3 A1 t0 brt random 360
9 F, B- Q0 D2 K* ]9 e' p# {: N
9 N4 Z4 n9 P/ X. B! s( Q' p& ~9 bfd 1
; }: Q% E# @% n% u& b% m6 U9 j5 C8 ~! C' _( p# N8 q
]/ } X# u$ t: w W* l
2 U" V! a% q7 S* u1 e
end* W- ?& c1 T9 }1 t/ `
* X* L: p: }. d( t) m1 N6 Jto do-trust
( q. C. B0 _& n& bset trust-ok False" U& _5 f! K: |
2 ~5 p* L; S; n0 ]
# _ E( u% t }+ v alet max-trade-times 01 T; j) {9 x$ m+ f/ M
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
0 [0 z. b& |& i7 o0 k2 B' ylet max-trade-money 0( `$ G4 L% @, X I8 i7 I; y/ P
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
- p% B8 v& C. O. B; ~let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))3 {: t2 c. l1 u! i3 v) e( P; x
6 Q9 `; F$ u5 I: \# p2 j8 A. E% e4 _& i0 @) N
get-global-proportion
- Q5 e ]" G! J s& ~( i) J, {: ?let trust-value7 W% \- y N5 a' |. H6 P
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)
) M) R# t5 {" H& W) l. W3 {if(trust-value > trade-trust-value)
b$ R" E8 e# @6 O1 a% n[set trust-ok true]* u; e& Y% S# C" O. J2 f
end
: a0 V, S0 _5 [. x# `( ^+ t9 M2 F! n( T( E
to get-global-proportion3 t7 b7 t+ y9 y( P% N' L
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
' }& B( [$ R& K$ m[set global-proportion 0]2 i4 w: U0 ?4 z0 z* b+ I/ j8 R0 K- l8 X
[let i 0; c8 |2 U. |+ ]% l
let sum-money 0
+ G. S/ l& y% L1 lwhile[ i < people]& E; w+ C% S- c3 f% v0 G
[
: m, w3 A9 D1 G) t9 A4 Z8 |if( length (item i
. b- ?' p. O" H: g3 ], y# u[trade-record-all] of customer) > 3 )
0 \, ^6 M& B8 Z[
" J1 A$ ^: q& t, N/ X; wset sum-money (sum-money + item 2(item i [trade-record-all] of myself))! B8 o$ \ }- j
]8 {+ m K+ x( F m0 B/ H( e
]
+ @& L9 R: |; r& U# H% V3 mlet j 0
. N, w% C5 R% m- Blet note 09 M: o+ m' ~( N' O/ J& A
while[ j < people]
6 L/ K: g, F, B1 t3 Y" m4 V[
0 k& Z5 X- z5 s. c% Q) C5 S; Iif( length (item i
: o( `. p, x% p$ d& d* n* Z' s[trade-record-all] of customer) > 3 )
: _9 O/ w5 G0 M$ d* X- J[
0 n, ^$ v3 w% h+ o bifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
& R( o& n8 X/ N. E[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]+ j% P& ?; B4 G$ X. J5 i1 D
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]8 J$ b) w; f/ _' [; z
]
9 [% ?" Y c, I1 O& a2 t]
" g0 f3 ~, q& b# G2 Nset global-proportion note
! _' v, Q( A: y) j5 B& G& []
1 W2 c' x2 k9 [4 |# Uend
$ [, E6 u1 X& q) z/ Y, p9 \! J* k) W. f0 e* L, @+ a
to do-trade! D" K3 z: n$ o8 f" i# i$ a
;;这个过程实际上是给双方作出评价的过程
2 h1 J. k* H ?& o; jset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
: i9 E8 _& B2 Z3 b1 S" \( tset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价) u3 g6 B- h" c4 Q$ v5 ~) F9 l
set trade-record-current lput(timer) trade-record-current7 o7 t" A0 E# w
;;评价时间
% V H; B' I$ T( g# @% iask myself [
0 J0 {6 _; G# T; d1 B1 y0 dupdate-local-reputation; z9 B; k9 m1 ?# M- s
set trade-record-current lput([local-reputation] of myself) trade-record-current3 `4 c" i: P' n( ^5 ~7 s
]( N/ o$ C1 t- r; V
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
1 U' M/ O+ u' V- z* M2 n, Z;;将此次交易的记录加入到trade-record-one中
z; H" o. p# U3 O& W3 a8 x- P' Eset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)' K- H* z N8 v& g d
let note (item 2 trade-record-current )
$ p! s+ l) H% ?5 v g: x& U+ p) m- Q# Fset trade-record-current1 b. C1 ]1 m' l& C9 A7 }
(replace-item 2 trade-record-current (item 3 trade-record-current))
: @- ~: L C0 g' F2 {8 _set trade-record-current
0 \2 o! T- p. @7 O(replace-item 3 trade-record-current note)
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1 I+ W* S. |, o+ `: |: k
- D- y x1 O# c$ H/ Xask customer [
! X7 k, d; J& p+ i$ Q* oupdate-local-reputation
- Y& k/ s' E! k/ C- n0 |set trade-record-current+ V' [$ R {6 K
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
2 l, m: M' U% S, {6 g5 `/ x/ |]
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% K: F: y$ h! B5 W3 ^
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer! S' |7 p, U2 o$ B
0 B0 o9 v1 n7 V T2 V; z
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))% w3 a; _3 E: w
;;将此次交易的记录加入到customer的trade-record-all中
6 `' D/ V. f- V7 L6 ^: D- cend, _* H. c* r. {, ^: C+ Q
/ J9 w& T3 ?/ I7 \9 A& Q0 T% {% h4 ~5 Qto update-local-reputation
( j% g+ v D' Lset [trade-record-one-len] of myself length [trade-record-one] of myself
# h1 m- A! c" d/ i7 f& {# n$ i7 }1 g# S' s2 a) O9 M
; A7 @, @# K" [; @
;;if [trade-record-one-len] of myself > 3 " W3 Q2 H8 J. u
update-neighbor-total5 ~& L8 b' s3 h9 \3 b& C9 D
;;更新邻居节点的数目,在此进行
* n- k8 j1 m$ Q0 ?+ P3 e p4 [let i 37 O" M K+ t* n1 @. S- ~
let sum-time 0& c: X1 W9 U& P8 a
while[i < [trade-record-one-len] of myself]( u/ ]. y$ ^1 N, Q! E0 f; V/ U* u
[% R: E* `1 v$ N) ^. d
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ) w5 `* w8 a0 J
set i3 [9 w4 k& X- i& ?" W: Z5 P3 f
( i + 1)
* b" _* V+ d7 p; n# k' ~4 _]
* ?- g$ Y& b: ^* I# _5 a9 T$ Xlet j 32 S, A( f5 z! y N% a
let sum-money 0
/ x" g7 X. ~1 r3 @while[j < [trade-record-one-len] of myself]
6 h7 _* }/ s" a[
: x( Q0 _4 i0 Gset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)% ?7 h- u- }) |$ @8 o' U
set j
5 D; q& N" k, O# Z( j + 1)) l7 q7 c8 U# R4 ?
]/ ?- y* z. ] U) p( B
let k 34 t+ j2 Y; b5 l) M
let power 03 ]# Y* K# [& c
let local 0
8 X6 [1 c# P, Q4 {while [k <[trade-record-one-len] of myself]) g4 k% E. K7 e2 d+ n3 G; j
[
: a/ b, U7 n( i. M8 ]4 rset 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) 5 S% E* B" i, R
set k (k + 1)1 v7 l8 D) b7 E9 g
]
# }4 g4 l4 M2 T% |set [local-reputation] of myself (local)
' W0 O, b* n. I$ Wend
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to update-neighbor-total
- n. e1 X" x8 _5 Z" K& ^
4 u h& F6 O) S& k1 J5 H3 _( uif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]& s& _, _6 h0 D1 S. H# t8 T& ]
& K' \/ p3 c! i7 M$ y' Y" g
+ I. F+ W6 r( u6 [% u0 wend
0 u5 f6 s( }$ ~: ~4 u
& p" g" L; U! w1 n' }. g. f' b8 Eto update-credibility-ijl % j: W$ ~" j+ N3 c5 M: ?$ h
{' s" }, c0 K8 [7 o
;;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。2 m' _) u- x' b6 _: G+ }8 c, r0 i/ ]
let l 0. ]& F' Y" @6 G: v7 B t* d
while[ l < people ]
% B2 T8 H4 u- j;;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
' q! G" n0 ~; Y- v[2 \7 ^7 ^. I! f. A6 ~
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)* a6 @; L4 @6 T$ G7 z
if (trade-record-one-j-l-len > 3)% c! C) O% D1 A- C2 v
[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& M9 h7 R9 X8 [9 C% Y4 `
let i 3
( C) M+ ^* _. O& l9 ~. @+ t5 h) d8 [let sum-time 0 J5 N, n# ]8 ]1 m; }
while[i < trade-record-one-len]+ p1 R: A! b# w4 R; G$ E
[
& m5 O0 H- j' H1 W9 T8 dset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
S1 X1 f" e3 @$ ^- N+ i7 kset i
) E1 T" {) A6 M( i + 1); D1 a' K: `% _; h
]
: [5 a" ^ r/ U; N" `let credibility-i-j-l 0( I% x2 p0 @$ {: W: ^
;;i评价(j对jl的评价)
, j9 s# c. Q( b2 s4 h3 V6 \let j 3
! A) q- u2 c5 m3 u olet k 4
+ e2 I1 S0 u+ n$ n+ V+ `( qwhile[j < trade-record-one-len]
3 @, A* {% P2 M, v[' t# V7 f. a7 E P. d7 V; [
while [((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/ M5 z3 A* r/ s. I4 q5 w( {% Q
set 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)3 V1 l3 N9 S" U) W. [. k' V/ u( S
set j# K& O5 K% O/ O6 Y$ e) L4 E0 n7 T
( j + 1)4 z7 r# f" q7 q( v5 G
]3 d0 P. l K# p h0 E$ S% j
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 )). c+ D4 {; p6 p6 ]$ p" g4 E
7 o3 W# D( V/ b
/ c1 S+ r8 r/ g/ H; `- Z4 clet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))$ M w$ u! W& @
;;及时更新i对l的评价质量的评价
2 K; h5 {! y! u9 E; G/ Pset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
) f* ^- E9 s5 e. m! y9 c E9 ?set l (l + 1)
& X# {: E0 K' B9 w]( A7 b7 x# E1 y! T* Y- w: d
end+ f& p. d/ N' C1 \5 R1 W
8 H. L/ g3 b/ F/ W0 L. x6 g5 ~
to update-credibility-list! ]7 x7 I7 w8 y$ i% o* M+ h
let i 0
6 c$ b/ d1 B4 n6 g4 Owhile[i < people]; K0 [- n% C1 y- @# b
[
( @5 i4 x. v$ T6 x0 U% j6 c: @: y% }let j 0 w- D! R" r& L3 g
let note 0. A! x# I- t; @& p. k. X' N
let k 0
9 Q8 W$ N5 Q7 D9 y0 n3 ^' T* `;;计作出过评价的邻居节点的数目; g( @+ p( P9 z" Y8 v. ]
while[j < people]! A I5 i% j9 w' ^8 l$ |( ^1 {
[2 f+ H M+ U" N* @. v2 l, b
if (item j( [credibility] of turtle (i + 1)) != -1)1 H# ]! X# h9 ? H9 |/ o: Y
;;判断是否给本turtle的评价质量做出过评价的节点) N+ W; {" K& H; \
[set note (note + item j ([credibility]of turtle (i + 1)))
. r" b4 i' S. `: a;;*(exp (-(people - 2)))/(people - 2))]+ ]2 r4 D( ^( g
set k (k + 1)
( a% R& B5 }4 Y2 H2 s x3 w: H]
1 c; l5 f# B. R I. J$ ?9 Fset j (j + 1)% N, Q9 u7 f% G
]0 | k. q" W, s5 V# g
set note (note *(exp (- (1 / k)))/ k)0 B% q$ n$ g! Z1 W$ w/ R$ l
set credibility-list (replace-item i credibility-list note); F& p: m! x- m5 X
set i (i + 1)
0 Y5 @0 u j0 y]
: d+ Z+ _, T% e, I3 Cend- @2 ]3 P" B. S. g2 _. L6 T
/ Y. Q1 q7 v8 Dto update-global-reputation-list
0 t0 r9 c* {- _$ O4 ]let j 0
2 |4 o2 u' s' `7 q, H( n. cwhile[j < people]! f. x r* ^* N( m, ^8 Y3 Q
[7 \) {! L% [2 e8 e6 X( L* @0 y
let new 0
2 D* Q1 Z5 e, G0 J, F- x;;暂存新的一个全局声誉+ ^* U" q3 o9 ]. s7 h |1 P2 C
let i 0
9 i+ O( p1 h$ t wlet sum-money 0
7 P" I" X3 l, w7 Vlet credibility-money 0. g6 {% q: ^( M
while [i < people]( |! Z* P' r; d2 Q9 W% c9 s9 D( K( ]
[
2 ~2 E4 O5 _6 qset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& e/ R1 x% `$ D- g/ }set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
: ?& x9 i8 O9 V& {$ t* Uset i (i + 1)& Z: i% y7 k: M0 T
]" w- e7 v" A5 k5 D; t
let k 05 W; P3 H" Q4 A. Z& r5 S& m; f! C
let new1 0. `$ t, }/ I' O" j4 u
while [k < people]& H: q k# H9 \$ H$ k4 Y
[
6 k' ~9 m' S# Q8 X; {" T6 D' Xset 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)% {# b% }( N# M, f
set k (k + 1)
0 T, k5 F& w* b0 ?5 D, o]0 P* _& J8 @) L+ Z. _
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
# ~" x7 N2 h9 \6 r& Tset global-reputation-list (replace-item j global-reputation-list new)& Z( N6 X' X H
set j (j + 1)
2 c- i7 s2 r3 _# t8 e. P1 }. {+ O, O]
, \- S# Y9 g9 v& E" R0 j5 ?7 D6 X9 dend
* b" c2 E4 m! ]. R3 c7 U. C; y% B+ P9 o8 \2 v* J
: \0 G) K, H0 }4 X$ I) K
! H" {5 p. v5 wto get-color' R( e- U k7 D9 S' ?4 p# a
! [# M# l. Z! n) \
set color blue
M+ R, f* b6 w; E1 p/ {3 v& [end
/ _3 t" ^ g! k; U4 C/ l' g0 p
U5 D3 _( u5 T& L0 e7 Kto poll-class
7 r$ s# ]& B/ qend* I: y( `# c& V$ B) t
& ?0 t9 J5 ?% o$ h6 T! N! [4 Lto setup-plot12 L0 U9 E' c* t
2 Q& p7 A$ `, M8 Q5 x& B4 _set-current-plot "Trends-of-Local-reputation"5 b" \- J, l0 ?6 L7 R' z" `
8 o2 R0 J" p+ |" Y. x# Eset-plot-x-range 0 xmax# n V4 A% W. W' s
1 A" a! r) T, s$ Fset-plot-y-range 0.0 ymax' x0 t9 Y q1 B3 I6 }# O
end# e. g9 J, z7 F9 v- F, m; I# Q
- W! D0 d1 N7 B2 ^" i( s
to setup-plot28 v, Y/ t6 H. M* B: {) i6 s; X
6 y1 j8 K+ H* l. |) F) O8 j/ nset-current-plot "Trends-of-global-reputation"
8 R9 @/ D7 G( @4 ]
0 I% L# d( a$ q: V" h& rset-plot-x-range 0 xmax
% e% E1 Q0 Y; ~; g7 e5 U! K5 i# t* ^4 V$ ~
set-plot-y-range 0.0 ymax
0 M8 }% n) F5 l4 _+ {3 Aend; R& e% ~+ h# a# z
9 _/ E: l( d6 _2 I
to setup-plot3
0 e. I$ h. k& {0 h' b) m
& Y# [0 X* v% V9 ^) Bset-current-plot "Trends-of-credibility"
! w/ _6 b7 M d1 B' ?
3 y3 t8 u) e1 u3 x4 f# l2 t3 rset-plot-x-range 0 xmax# t( ]7 y/ D6 T; k4 Q% @
4 Y6 Y3 e2 L+ `! i$ k! F
set-plot-y-range 0.0 ymax
4 F3 s9 r* }$ S. C) [end
2 P7 }/ ]* j7 u% |1 U3 E6 |# D# i) }% O- e0 G0 f8 `& g
to do-plots
- n6 N0 S6 i& t* _$ F* C! [set-current-plot "Trends-of-Local-reputation"6 D) M6 j' q8 G6 U& c0 F8 C( J# G
set-current-plot-pen "Honest service"! A$ A" c/ i) R/ a9 l
end5 f) U1 u( C/ y' X$ L$ y2 @" h
4 c3 i: d# A) T' H4 T
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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