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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
1 `; }: m, _) h7 r+ R, cglobals[
: q; D4 Q0 j0 p7 d9 m- X2 e2 A9 Txmax; Z3 m! u8 r+ Z) E2 H2 R! l) ^
ymax
- m: X( e8 L" G2 ~ v, ~global-reputation-list
j( _# J; a5 o1 A4 C2 {0 g* a5 z4 i5 }- y8 |. J5 f1 l0 M) {
;;每一个turtle的全局声誉都存在此LIST中
; I4 R3 x$ F0 w4 k4 t. Ocredibility-list
6 v7 t+ T$ w; w" m& x;;每一个turtle的评价可信度- s% t0 U, E% y) D: b; H+ i, d
honest-service
, y+ B: M' q3 u9 {$ C; cunhonest-service8 x- ^, k; X% _* Q, s1 R
oscillation+ U' a5 G( r7 }2 L/ \# N
rand-dynamic( |8 h9 G0 y* X- ~/ T9 }! S
]2 g7 L7 w% E7 h& l
& ?# i3 A0 Y' Z% |9 Y, J: m
turtles-own[5 z0 c0 s) [; d, m. {
trade-record-all2 x- n' q- U9 c5 A7 K
;;a list of lists,由trade-record-one组成# A- w) t$ ]4 |
trade-record-one4 }- Y/ [, _6 e+ w5 v4 w1 l, ~
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录# R2 X( v) N# V' }2 }
5 {2 L$ I. e) _1 A; f# _" V;;[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]]7 O! Y/ U, f- P" n; ]
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]/ h* b+ |/ r/ n _
credibility-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
; r4 O) a- M0 Dneighbor-total
: p, X& O( a0 m* o2 X;;记录该turtle的邻居节点的数目
+ T r) k) |" v9 c4 Ltrade-time
. c8 O; \# I* L9 [, w- z# s# ^' y;;当前发生交易的turtle的交易时间
4 D! X! m% S& @* g5 q2 E6 Happraise-give
+ V1 X4 B# ]( P' h;;当前发生交易时给出的评价/ `) A. T: w. t6 K
appraise-receive
3 u/ E* H, C- H! ^+ d' S$ t4 d;;当前发生交易时收到的评价7 a* V8 \# h3 ]+ Y: n( k
appraise-time
8 @! V9 X; L$ `5 J9 A;;当前发生交易时的评价时间7 h$ n- A; B" x$ A
local-reputation-now;;此次交易后相对于对方turtle的局部声誉+ Q8 E7 P4 w) {# Z- {5 J
trade-times-total3 |" p6 P4 v- U1 h, }1 e# S
;;与当前turtle的交易总次数
. A3 D2 g* z; Utrade-money-total
. s8 @# C9 E% t+ ]* [) ];;与当前turtle的交易总金额: W: [ R9 ?6 i" F: B5 [1 ^
local-reputation
% x# O+ y3 n' m. B) M8 Kglobal-reputation
) `- Y; {# T8 X5 fcredibility
& j9 |% t- E W;;评价可信度,每次交易后都需要更新# a, n8 {+ x9 }: W
credibility-all+ Q. n5 D( t+ M/ Q4 ?
;;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! }7 E* ] u+ l8 T2 _: l! B
6 K# J2 P* J A8 C+ ]
;;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: u- j3 D, o+ ~: O( W, w+ U
credibility-one! v+ U! ~8 S) v1 ~2 \0 x5 d2 j
;;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) K; ~9 o7 }1 C6 m- G' ]
global-proportion3 a6 V5 q( P, z3 C9 q: H
customer. H' H% k" h, U, l0 V$ j- O
customer-no
2 B& e: b Q' ^6 x! {trust-ok
* {/ s" V# d+ k& W6 x; U, vtrade-record-one-len;;trade-record-one的长度4 z2 n& q3 j T: C0 f n: k/ ?
]
# h' s# l: D. y9 G+ C ], Z% r
7 [; H6 z9 V' {9 _;;setup procedure
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5 U3 c6 W' z# ~4 ^) rto setup6 ^/ Z! j3 F0 f
6 O% M, I# [3 R, g; U7 cca; b ]1 [8 u i$ k" m, B
) h' J' i7 K6 Linitialize-settings' X% y2 I: W9 f! a
6 @/ u; i6 {0 f6 m3 P1 Ucrt people [setup-turtles]
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reset-timer" v R/ N% B1 ^
0 k; V1 e% Y+ P) b$ J
poll-class2 V/ ^9 x: M5 Y
" k8 @# h" v1 w g
setup-plots2 @3 ^0 R% K; k' b+ u1 q
5 H I" L2 I' Y3 ]$ e
do-plots A2 v' k3 Q+ m6 ~; I- n
end
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8 ^; c3 M& @' m" s) q3 D" Vto initialize-settings7 @( Z" p! }' A4 q9 E* ]
7 _+ d |2 |6 Sset global-reputation-list []. }/ m( j, A8 H) Y0 U d- K
* \ n" J1 A0 v/ A. c
set credibility-list n-values people [0.5]% A- U8 H! }( F+ u e- Y
7 U# b ~! F4 E+ V5 R( E, Hset honest-service 0
4 u; M4 \$ z1 x4 l0 N4 Y9 |' {( U* ?4 }
set unhonest-service 0
1 U8 d+ C* ^2 V$ J+ P" i# G& i% N0 O+ j
set oscillation 0
8 X Z6 S1 c* ]0 Z* i! D+ h. h- N2 `0 H/ O
1 O5 d" A. l5 Y! T; ]2 q% G! _set rand-dynamic 0
6 o+ Y: b( z" Z3 hend$ H# |8 D8 N, s% \1 c9 R6 u5 B
# N( D# \* m$ v* n
to setup-turtles
# S9 q" D2 z' K. Qset shape "person"
, \: O& n5 U3 u8 ~setxy random-xcor random-ycor4 X; g* L" @! W1 B; A) G
set trade-record-one [], V: Z, Q5 Q. V* P
) L2 u4 \9 U' t
set trade-record-all n-values people [(list (? + 1) 0 0)]
3 u& z0 v0 Y) i1 ~' l9 s5 ?& F+ M3 t' C# B# { P6 t. D- E0 v
set trade-record-current []
1 N8 n( I. h6 cset credibility-receive []
6 W9 @- }/ l- u6 L# S |set local-reputation 0.5
, ^% J M3 N4 xset neighbor-total 0$ _0 L0 S- `( H2 Z
set trade-times-total 0, ~( ^5 r, q$ L& V" `
set trade-money-total 0, a9 l/ l; \' t7 Y/ y
set customer nobody9 R4 C+ y5 |5 O8 ?
set credibility-all n-values people [creat-credibility]* ?6 G8 {6 D5 G; X" z
set credibility n-values people [-1], l: q$ C a5 C4 ^: Z7 e& r, O
get-color
5 r6 r/ R- H, M. @/ c
4 Z" E/ C% ?, v, W8 Pend1 I- H; l# `0 y7 {
5 `2 ^; y6 |0 z( A) d5 W" Gto-report creat-credibility0 R; L) b* y* f' M
report n-values people [0.5]( N7 T3 \& P5 |' ?+ k8 A9 M
end
& S6 R# U" O' m" @5 |) C5 s. k( p
to setup-plots
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: d7 C5 [3 d# K6 Pset xmax 301 D2 S' }, N8 _1 F: H
9 Y1 b+ z1 T+ _$ J! B. X% F' iset ymax 1.0$ L/ I& l* U% ~. w
4 I( E: q# Y. Y- X2 K- j
clear-all-plots
6 X. L! G7 m2 \4 L7 l- f, c! M# O+ A% {/ t, y- a
setup-plot1
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setup-plot23 d6 d$ h5 l/ f- ?
1 m. U% C4 N. \$ e" G* \% gsetup-plot30 A, @" A' N+ y5 \
end
- v6 ]& N7 b' O0 f1 L4 d7 r
, m: R2 D. U& W5 R* x;;run time procedures
+ p7 c& f, t2 v4 n$ L" q, t
: `. D6 Y5 \ P5 y3 Gto go
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! {; U# |0 O; `; X* bask turtles [do-business]& v9 a2 |3 M$ E
end
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9 t2 g9 _6 j/ c/ c. Ito do-business 7 D' ?8 q# A2 |; W, C j) f7 Q# q
9 W8 h! g$ ]) F! G& w' H; K
5 m6 b) I# U, \) s
rt random 3600 A' ]9 `$ d) S) o' T# t
) d# j! C/ k3 @2 |2 sfd 18 j' ?: ^, C; u$ `, G; g9 \! ]
1 F- O/ r" c1 m* u! ]8 D8 Tifelse(other turtles-here != nobody)[: o5 |, s) o% b3 M. ?8 T8 H4 W
. D7 U- y4 k) e4 D- J1 Xset customer one-of other turtles-here. _( b, n, ~8 v; c3 p
+ A+ V$ O9 y1 T2 H( u
;; set [customer] of customer myself% B, \# A% a8 T$ l4 G+ ~; l
; B6 v: K: d" a5 f ]3 ~( _
set [trade-record-one] of self item (([who] of customer) - 1)
" w6 P5 i* `1 i& I$ d' u4 q[trade-record-all]of self# R* _# M$ f0 N$ \+ w
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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set [trade-record-one] of customer item (([who] of self) - 1)$ }. {3 t& d9 j: y" i
[trade-record-all]of customer
# Y% Z$ a g0 s6 e i
7 ]& H5 _. [7 R( |set [trade-record-one-len] of self length [trade-record-one] of self- r0 h1 h- j6 M$ q7 E# K2 o
9 { Y+ ]6 V% e C1 `' tset trade-record-current( list (timer) (random money-upper-limit))8 i) O& e9 c) @1 Q+ t6 ?/ `
" g1 ^3 T2 E E5 L" v' K3 k) O. V7 fask self [do-trust]$ K2 \# a* E; z
;;先求i对j的信任度
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if ([trust-ok] of self)2 V1 V0 Q8 z, M: I8 V
;;根据i对j的信任度来决定是否与j进行交易[
5 D6 R5 ?* T3 \8 v5 z2 k) Wask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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9 M3 |- O9 v8 s* r* `& y[
1 S6 F- ^- P6 C! C' J7 I
; z! A g; H% _& T- H! mdo-trade: N- ^% l1 G& U) {
: R7 w9 A& M( z nupdate-credibility-ijl' S. k+ f: }2 e
# N: ~6 N, u# j; ^9 H
update-credibility-list
7 ~" X. c1 U5 q1 ?- H
4 D0 Q' R1 e8 U2 l, m( d% {7 l, k. Y- U; g8 `% Y! w
update-global-reputation-list
+ K* y$ M) K* c3 i' l+ c$ J8 m# _4 [0 [1 k7 U
poll-class( W7 i/ @% S" J! l# }
1 ~. r1 K3 F, U1 Z; ^) D
get-color
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$ D* E, O) B8 m5 A. B, m: f]]( T1 ], j2 @+ a2 R# E5 ~
8 q5 D3 X9 ^2 }# @ I! r* R;;如果所得的信任度满足条件,则进行交易) {- r7 R/ e$ @- U6 b+ u0 `. F
, ^$ q* m# t. y. W
[( a7 L% l, m7 V5 Z& R2 p; f, u r
: o. w. C) m9 n. X2 v
rt random 360# r. L) i) c! \; d2 j
3 `) x% \: ^% @; w
fd 1
' [/ E- x* P$ ?, s. [; X% @
( _+ l) r- I+ `: V]
* f# F6 m" A6 `5 U7 @$ c& b! |6 z5 U' C
end2 U8 D' q5 S3 {: }6 Z* ?
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to do-trust ( L1 Y: D5 T; U9 p4 M. g( W0 n+ \
set trust-ok False
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; C4 V [1 o7 v7 Q5 |- ulet max-trade-times 0
6 h: ]7 n0 F, Aforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
& |4 d- Y5 S! y! P9 i- ]8 N0 D3 Ilet max-trade-money 03 D6 m. X# Z' P- x# q I
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
7 u" i4 V7 b( F; x Hlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)): |( g$ S4 K" I i( Q
. y7 C% o3 q" k: r- d+ Q% q! m6 X9 i- x2 x# V7 F
get-global-proportion' p' P3 Q5 a- q* N1 y, B+ T
let trust-value$ k3 s+ G$ ~, L7 w5 g* r( O: z
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)- B4 C" ?% k; C( w, d/ F; {+ c* d
if(trust-value > trade-trust-value)
; l& F: l+ G$ d+ o2 q6 |9 ^: Q[set trust-ok true]+ X2 j& S- q0 `/ e: R
end( F J, p- z! u
# ?( d% X G4 G! D6 b+ ^
to get-global-proportion7 B& y3 u: | ]8 v! D
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)! Y7 ]7 t: X# _$ g
[set global-proportion 0]
9 S# n, n; S% u2 K+ Y8 O) l[let i 0
. Q) L& Y& p/ \, b9 z1 o9 Plet sum-money 0
" Q" b& g4 k, {( W( qwhile[ i < people]2 Z5 O3 I1 I. x
[% S& `; g3 m8 F; a/ V' M3 I
if( length (item i6 |8 X \) C/ x$ O8 t3 q
[trade-record-all] of customer) > 3 )
( w6 Z# E2 O3 u% H- Z% n4 Y% P; I[
% }# K3 r; M) _- ^1 Iset sum-money (sum-money + item 2(item i [trade-record-all] of myself))( t- n7 g2 x' T z% \5 x2 J
]
! `7 @% n, m' b- [8 A& F4 u]; J5 `: I9 a6 R( M9 ^. @$ O
let j 0
. K1 b9 Q7 Z8 F( ?5 D2 T& \let note 0
6 p7 ? D% E* ]# nwhile[ j < people]
1 s, d z c3 J$ E3 u/ _[
/ P7 j, S, S2 m) m8 ~if( length (item i/ g( ]2 a: Z, V# K1 y$ @, I2 |
[trade-record-all] of customer) > 3 )4 Y/ @9 a4 `; S, g; d* i. D% U
[
" |$ [. o* c- eifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
- F* `7 ]1 A5 K5 [' U8 \) I4 q, g[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
/ M. I- C5 A/ w' E[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]2 ~: T5 r" q6 }9 c5 a' a; p
]7 ?3 k9 v' z, y- _! x
]( D, c7 c6 X: ~
set global-proportion note
$ _9 t' _9 _& \6 e! U; a0 b]
5 i2 l6 ^+ B& \0 V& Q+ o# o5 jend
# n" y/ G! t* e0 o0 C; M% C+ d# {; t
Z1 g# ~ }5 g v% [to do-trade& {- Q! a3 T8 t x2 c& Y, h6 H
;;这个过程实际上是给双方作出评价的过程
- a" d* a: P4 r6 c! F: Cset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
2 z" P2 a( K& d: uset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价! v% o; N; K1 p2 w# _
set trade-record-current lput(timer) trade-record-current6 K/ y4 h: ~" H
;;评价时间
5 {, M5 K4 @$ D/ ?7 d8 ]ask myself [
* L8 }: T0 a! P& w8 jupdate-local-reputation8 E$ d5 U! J# P- L3 _$ N
set trade-record-current lput([local-reputation] of myself) trade-record-current3 C3 ^4 @# l" @+ \. w! W& H" Z
]
. z& G; J! X- tset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself" b" `# N' e9 {$ A
;;将此次交易的记录加入到trade-record-one中
9 F6 W' {% P+ g/ m9 lset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)5 M0 `# W$ v3 k- {, ]* a
let note (item 2 trade-record-current ): V; |% n( s/ H/ E' D
set trade-record-current
0 k( H% [7 I& B& H& W2 {(replace-item 2 trade-record-current (item 3 trade-record-current))
: J+ P( U( _4 E$ B+ Cset trade-record-current& Z1 |2 U- s( I3 }
(replace-item 3 trade-record-current note)
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ask customer [2 Y9 O @4 P }. y& h5 k2 ^) m7 Y" }
update-local-reputation- W' y2 v! F6 o& r; e! G9 _
set trade-record-current, c& k2 I' Q4 W0 d4 L! j
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
* Z1 v: P2 }; ]/ Z+ T4 G/ m; ]6 o]9 A# j7 M( l$ y& y$ b( X2 V
+ w$ |0 U0 O& V# @5 m
* \5 m9 x1 ^% S! J' D7 E0 z' j! L
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
6 \. G6 J O5 E# m( f% j0 m7 o; E! {- Y
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))+ D+ f) l2 n% }/ h) B* c
;;将此次交易的记录加入到customer的trade-record-all中
1 k5 B, {! d$ b$ Uend, [9 G7 m' I- H- ~% O4 O
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to update-local-reputation
. A# f: q: s; e2 F! rset [trade-record-one-len] of myself length [trade-record-one] of myself
* ^; k% y: o& K/ Y! f8 F5 q) [7 u& }, X5 H3 z+ v# s
! D5 ~# t8 I s! C8 }! t
;;if [trade-record-one-len] of myself > 3
0 z) }! M# c* ~' X X2 vupdate-neighbor-total
5 B3 g3 E* [, J+ b0 e4 z;;更新邻居节点的数目,在此进行7 G8 c! w" Z1 R7 N# |+ Y7 w7 E( J$ N& ~
let i 3" u) i4 H; [3 w) y1 @% r
let sum-time 0
7 G. [4 a% _. Xwhile[i < [trade-record-one-len] of myself]
% g5 U7 W( n" c% X0 {) n: K3 v+ S[0 t( ~4 A# j# X! L1 S
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )& X1 l) {7 a# w4 n5 ~6 D) d
set i% c4 e* x7 u8 _# [/ Q. |3 b( p
( i + 1)! X! A9 d) G+ f8 R& L5 X
]* E' \! ?; p8 X
let j 3
5 i- b/ _1 S# k% i3 M7 Glet sum-money 0
, X; C9 x3 U7 K; c! Xwhile[j < [trade-record-one-len] of myself]
& g. A/ Y! B" K+ g[5 h) E- i- p$ P
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). z* f- J& q- S1 H
set j
# \4 H+ k* a: I. I( j + 1)
2 _& \& h+ ]/ G; w) j" e( G: u7 f]+ w2 k9 |* z. O0 A6 R
let k 3' b) A6 k: D. S& T5 h* C
let power 0
1 z; x7 X" W( }4 f# W7 ulet local 0
2 \& o! f- |' M7 vwhile [k <[trade-record-one-len] of myself]
" h# w8 I$ D, m8 O2 T, M[
4 p( M+ O. X# |6 l4 X7 @% gset 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) # R( j; n! ^( d
set k (k + 1)
! Q; Q+ h/ R; Z0 w! n]! W" r5 p! G" j5 ?
set [local-reputation] of myself (local)1 Y6 c, W1 N m* T9 d& x9 |
end
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to update-neighbor-total; X% {! x+ M- Z
9 K5 F5 X& T! d" i! o1 vif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ] u' p9 Q9 H: d. M' H- r
( a/ \. k/ F3 @' t" D1 d
X& G- I; N, w3 J, e1 K
end
% }1 E3 C# ^4 p6 R' y5 m
8 t# X5 H! `% rto update-credibility-ijl ! z. r, V: N0 b3 m5 N, P; R
) @0 E# @! h- R: S/ r$ [
;;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。+ y) |2 }* [4 {$ d# \: z
let l 0
7 u8 T& G3 w$ ~9 H, I6 V! u- owhile[ l < people ]# f* l9 F6 M# l
;;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
$ \. h: o8 {1 J9 o! y* C; f! {[
) z7 F' n r9 ]/ olet trade-record-one-j-l-len length item l ([trade-record-all] of customer)3 @$ I- F$ r6 z' F# s9 ?+ ]
if (trade-record-one-j-l-len > 3)
/ t0 t/ S! _( P; `" Y. L[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
3 B1 V/ r2 v6 {6 N0 flet i 3
C1 b/ q) t2 B M8 alet sum-time 0$ v! s3 d7 Z/ j( }0 N
while[i < trade-record-one-len]; @ ]* I8 i v: n7 Y1 @2 [6 p& Q) S1 ]
[8 z* Q( V" W% g% t
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )' S( y' ]$ R% b d
set i( P" C5 C8 }2 k$ w3 U7 ^2 P+ W
( i + 1)5 c ?7 c* f) Y0 M! P
]
, X& w9 C& E& w2 N1 i; [let credibility-i-j-l 03 r# B3 i5 f* g1 A7 M
;;i评价(j对jl的评价). [5 c$ J& Y9 p0 F
let j 3 H; F) C0 w7 m1 W% u0 I) Y5 M6 d
let k 4
* T/ M+ m h) D w3 x/ ewhile[j < trade-record-one-len]9 n0 o! @) H, u) a2 \* i1 X
[
( t# ~# h" m# _. wwhile [((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, a3 ] _5 e* s" ?! r" g
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)' [ C9 }5 G; a0 X
set j
; ?* p8 V8 S2 _4 p& e/ v: \( j + 1)
' z* P# \) ~+ L7 B3 x]4 J5 S! i" M. w: l4 A
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 )). I( Y$ ]* D6 c' B. F' d9 C
" _8 b$ W6 e Z+ [# Y2 l+ |( l/ W/ t' E9 F
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))# F$ _3 M- t: b! ^1 A+ a- ~
;;及时更新i对l的评价质量的评价- u2 \, `, x8 T7 a7 e
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]1 [1 G" o4 Z- u8 x# @3 j1 @1 C
set l (l + 1)
+ u$ m1 u* S% g2 a3 e]6 w* u7 c! S" d4 u( N
end9 E' O4 K+ D6 d! x7 `7 _& ]2 @8 v
: {8 _9 _) T* r' h- q. D
to update-credibility-list
$ l8 z1 e* d# b T5 j8 Jlet i 00 h9 _ R! G0 R" o2 b
while[i < people]7 r. H% J6 D5 l8 }: f
[- G. c. Y2 ]3 y+ A: K6 O
let j 0* F& W1 `# R: y9 Y- H
let note 0/ w7 f! ^6 l5 H4 L8 g4 B
let k 0
/ i3 @6 H- [0 W4 L, ?6 D' W. k" Z;;计作出过评价的邻居节点的数目( a, b6 i+ e }+ ]8 R
while[j < people]
# V, U$ u0 y0 }$ H$ K6 @- v[( C E% o/ \" E/ Q4 s4 ~0 s
if (item j( [credibility] of turtle (i + 1)) != -1)- |) \' r( [9 I7 X* [
;;判断是否给本turtle的评价质量做出过评价的节点 A; g5 o5 [+ d
[set note (note + item j ([credibility]of turtle (i + 1)))1 @6 e3 u. C. s7 V2 p
;;*(exp (-(people - 2)))/(people - 2))]% I: t3 a& N1 a1 T/ p; }5 w4 L
set k (k + 1)
) G* v, {+ S8 L]
7 o6 m+ B; M. n0 P, Mset j (j + 1)
3 Z% _) a0 g9 ]3 R* d' p f]5 a; B8 R4 w0 o0 o; G& g/ h$ W
set note (note *(exp (- (1 / k)))/ k)- u6 S5 J; |" U
set credibility-list (replace-item i credibility-list note)6 C) _) I3 ?& a. L7 d
set i (i + 1)
4 ?+ M7 V4 I- t. A D p]! `6 A1 F; M2 L {. T
end, Y# V: u, f n4 R: \& b/ ?$ w" u
8 B. U, R7 A. u) v4 b0 K8 B2 C7 d: |
to update-global-reputation-list
8 ]1 O5 P& u) _0 I# D2 Y# g- dlet j 0
9 q+ |- Q/ l; d) P- B8 ?3 p; Iwhile[j < people]* j$ Z9 y1 @9 M1 m
[
) u) l' y7 r c; U# k0 e0 Plet new 0
% i" F* l2 Q Y# @% S;;暂存新的一个全局声誉
$ I: n" E, I( Xlet i 0; r3 k3 w+ N) V# f
let sum-money 0
9 \0 Q9 ?$ [" A# w. m5 S2 ]4 zlet credibility-money 0
4 T+ M3 {( I, }2 ]/ m) Pwhile [i < people]' } b( P) l( \/ X
[
" U: b. {: g1 cset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
( m$ r% z6 i! Q& z6 pset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))' ~& [% s3 Z f5 g' K
set i (i + 1)
5 D# ~& ?# C S; v2 S0 @]" ^4 E, U; {% D% F
let k 00 k6 s, t* E5 h9 W
let new1 0
' Z ^) m8 }# X) R7 l1 I* q0 x% Nwhile [k < people]) j l( t9 C, v
[
- n4 J3 P# d, Qset 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)
5 h0 k5 r8 H1 d! ?( Fset k (k + 1)$ A9 Q/ C7 O% H6 N( D; R+ s
]
, O8 ?0 @. s: u$ x: N2 Xset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 6 K$ {1 M }- q# R5 {
set global-reputation-list (replace-item j global-reputation-list new)9 ~- u& Q. g. ]8 o# `) k
set j (j + 1)
$ ]6 \9 T+ Q+ f( i5 X+ h6 f0 F3 {( r, s] k' Y- N6 \9 Q! `
end
) L4 D2 e- r# I6 @# j" V, s( P0 m( O6 ?
, y7 w/ j+ S$ O; _& r% _
K8 h J x2 k0 O5 d, r3 Z
to get-color: t8 w& D/ d7 C# _$ G
# \, B3 j$ ]! x) _) j
set color blue' Q# W- J- [0 M$ n/ l! o
end% `: g7 E) d4 S
2 D8 l( z9 n# L# L }0 z
to poll-class
: N( E9 }7 s+ U$ W( k7 T0 p4 Rend: v% j# q4 ?8 e+ y# \& }4 f5 w k$ ^
; C- i- |. z! L' }* C+ Jto setup-plot1
$ q' W0 a% [! p+ u7 J
5 O6 H9 ?! ~1 J8 Gset-current-plot "Trends-of-Local-reputation"- e# A& B4 u( I5 q b! z7 k# \
1 U7 N6 z- s, ` \( q' l
set-plot-x-range 0 xmax
! f K6 U/ [2 V8 h
7 M) k/ \. n# H s9 \3 tset-plot-y-range 0.0 ymax
% g" |' h9 J8 F) cend
7 j3 }$ _9 ?2 Z0 b' s6 [( d7 R, Q
to setup-plot2. x4 D' ?, S( @( m
- P, N6 n2 t7 I' e6 r, [) q- ~# t* }. E
set-current-plot "Trends-of-global-reputation"
% V: Y4 W0 M* y* j" J# I* _2 @4 X# f8 S
+ r! v0 x+ |4 u n' f+ h* M1 kset-plot-x-range 0 xmax5 F/ {3 I1 K$ C$ _( Z) ]
' r9 \" |8 r2 J* T: g; U3 ~8 c
set-plot-y-range 0.0 ymax
8 a4 G0 r/ ^/ F% B( s' r' U& Eend I) U5 W0 {2 K
/ Z" Q9 ]# @, B7 R) w, U* kto setup-plot3+ F3 Q. v C$ B
* L4 q3 g0 w( R" N$ y5 X9 Dset-current-plot "Trends-of-credibility"
( \ |7 i% [4 F! T" W) H/ V( f3 X* k
5 ^% E0 Z1 q+ L/ h) [set-plot-x-range 0 xmax
' Z# z- ]% m9 }; Y# d0 d5 B0 E: S& j" _7 l3 R) q' F% c
set-plot-y-range 0.0 ymax
; X- w' o4 Z" G1 vend* H8 k+ z8 s2 R7 J+ t! v
* c/ B, | a) e' C
to do-plots
+ {2 b- a, E9 r0 j5 o+ |set-current-plot "Trends-of-Local-reputation" {0 e) a* ~7 A* U k. U- I, n3 n
set-current-plot-pen "Honest service"
: l3 {/ }/ \6 M3 ]# ~% ]end/ b, ^: {, S: H- y, v8 {7 H
! ]0 ~, l9 ^/ q! ?4 ^9 F
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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