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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( a8 i. ^( O9 \! E- r; A
globals[
# D* w5 t6 r" v, t2 U" y, i9 uxmax
2 l% \7 E7 p- ]8 W- ^( G( Lymax# G, O9 U* ^' j2 u7 p0 g* V
global-reputation-list
! Q6 e6 p3 r) E) v/ n( `
6 z) P5 x8 T) C;;每一个turtle的全局声誉都存在此LIST中. d$ M; g1 ~2 `1 l
credibility-list+ ]* y9 X, `$ U/ o- B
;;每一个turtle的评价可信度; H3 b$ |* w, X2 `7 \/ X
honest-service+ N: i) k# G8 \
unhonest-service
5 L0 l p+ I6 L0 g1 foscillation5 v2 X" `8 y9 d. ` l# }
rand-dynamic
2 ]& t1 y! W7 L$ Z' j4 @6 X5 u* P B]
, f: K/ }" K# n4 M( I3 d# i
3 H% X! N% v) Q$ P9 \turtles-own[6 B5 y6 v1 h4 ^3 N
trade-record-all
. K- Z+ s2 s2 Y;;a list of lists,由trade-record-one组成+ G2 r( |6 w+ {6 _
trade-record-one) e6 v, l" w# c0 P1 ~6 G$ u$ E9 g
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
1 K2 N! ]1 D: `2 l1 V4 l' B! @5 |- }9 d& W. 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]]
) m7 |4 k& L0 ?+ B0 Z! K7 Y* 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]
3 [. d, B' h+ f6 H7 j2 Icredibility-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( a$ @ G+ @- l. m
neighbor-total
. C6 u+ i: V4 G8 a;;记录该turtle的邻居节点的数目5 m& Z! e- m9 o. O) F
trade-time
8 f( }5 }4 i7 M7 h9 E2 c) v;;当前发生交易的turtle的交易时间0 M$ u6 S! a* E& y( |* K# f
appraise-give5 V" y0 d2 ~& `
;;当前发生交易时给出的评价
6 G/ ?; `* {1 ~3 happraise-receive
% a8 b1 W" H+ ?* `. S% {;;当前发生交易时收到的评价
0 v2 u/ ]: R7 Y% f5 ~) @& cappraise-time
- |: ^5 Z$ M" i$ j, o4 I& V;;当前发生交易时的评价时间
& A4 J7 _7 n& A. L' b7 ]local-reputation-now;;此次交易后相对于对方turtle的局部声誉0 o1 Z8 o/ l5 `1 J+ P
trade-times-total
# z8 z8 ?: L# a;;与当前turtle的交易总次数
. F8 Y8 t5 p6 W1 q' X) utrade-money-total
( y, h7 ], I% o/ a8 M* ?;;与当前turtle的交易总金额
* _/ e" j+ p7 S5 Nlocal-reputation
3 ^: h6 `( Z0 qglobal-reputation
, {: O( ]. a$ N( `credibility
7 L, O$ a/ X& V8 c7 e" W1 o;;评价可信度,每次交易后都需要更新+ H# p- \% ]* A' ~
credibility-all
8 B# B$ c/ e' m' K;;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
% N: U/ e: Q* C, F( k: F; {3 |: f7 ]' s
;;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. {( {% q8 g1 d3 c( q7 ^: M
credibility-one
4 c" Q# b) [: C+ f;;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# `5 e6 V7 a c' A+ \1 m. @$ l
global-proportion. p' D5 J+ U2 u/ J
customer9 S# m6 b4 L5 _
customer-no6 h, M$ z% F/ A+ b3 X; R
trust-ok' S7 }' H5 |, p1 G1 |. l
trade-record-one-len;;trade-record-one的长度
1 V1 b/ h( Z% N$ b]* }8 N9 v; D+ D$ a
2 t. P+ }6 `# \: j6 M6 h1 u;;setup procedure1 P2 J4 o% Z, x% {5 M$ O
# ]! o W; N. M' y
to setup
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& w- n2 [6 P; j; Aca2 D& w( l2 L4 m- \, l, [
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initialize-settings
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crt people [setup-turtles]0 G/ b3 J6 {+ f( Y& g6 X) `* M3 ?
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reset-timer
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poll-class& j& Y" O9 C% R7 @0 ` }7 a
" j! L0 c& g% s% s: \
setup-plots
1 n& n: X9 O7 T) z8 x, G8 P" S9 i$ t D* B# s6 k, Q+ K
do-plots8 Z6 e/ C5 b! x% e
end+ o1 L8 r, z5 q: w0 g7 C! |* j, i, M
& }0 a6 _* v+ `! Y7 @/ ~) v
to initialize-settings+ A1 s: f$ |! O7 k: I7 K
0 ?7 g& r1 w4 a+ v- d, P' W# Jset global-reputation-list []
2 {8 o0 x% S! t6 c
$ A. e+ c- W' s; v2 \set credibility-list n-values people [0.5]
1 ^" {: ], L G" r% Y! R9 H1 B+ i
8 Y5 {: E2 ]2 C7 Yset honest-service 0
# r+ H, q; x7 A- u2 P9 {
5 S7 [3 ?; H3 | j |set unhonest-service 0! z7 h8 e' e }# ]( Q: \0 j& A# q
6 [+ x7 k2 O5 D4 W. E8 s' nset oscillation 0
( c& k1 G p, p7 }" i$ i& A) C( [! X( y! @' Y' ?4 O
set rand-dynamic 00 k5 [8 e3 u; ~7 \. e) y) J- A
end
. _( _# o* h9 R' v! t2 U: L6 ?1 i# d# v/ w, ~& L0 c; o; ~
to setup-turtles 4 y3 x$ v0 E# B D `* b
set shape "person"3 ` P5 A' Z* @) v& u
setxy random-xcor random-ycor
- H; S! D$ }; sset trade-record-one []
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set trade-record-all n-values people [(list (? + 1) 0 0)] . ^) J+ ]; p x) _
! P! {2 L- |1 l8 d* mset trade-record-current []
4 d* r& [# M, I, F* b Qset credibility-receive []
g$ V: g7 i0 j3 C* pset local-reputation 0.5
8 I* |& {: |3 i6 k8 j+ e+ D/ W) Sset neighbor-total 0
4 H- j: o9 A: a+ B" w( Hset trade-times-total 0
, `. w2 M( E6 ~, ~+ X! ?% N" tset trade-money-total 0: o0 t+ t# W/ \
set customer nobody7 B4 A8 [( Y: T0 x Q2 n0 c
set credibility-all n-values people [creat-credibility]
/ t3 g" q3 I$ K( b6 ?: Hset credibility n-values people [-1]; W( n4 m4 t5 k2 w8 ^2 _, j
get-color' ^2 m. r; @3 G, I
1 l7 l7 f- r) {: b$ M" J H ?
end S+ e! K% v$ q. x1 k f4 j& z0 u
9 |" S, Y, r' x5 p9 P% l9 i9 yto-report creat-credibility" s/ v6 t' t* F) m4 T' m2 c1 g
report n-values people [0.5]
* V& R# g+ P/ _ C( {end
6 S* n# n) j, j( y. M3 }' L
# a( X+ Q3 _; ?% \+ T1 Xto setup-plots
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0 k1 i" @, E5 p* Bset xmax 308 z4 A% X8 @* d2 c
: ~1 M' T( N* G0 J0 X9 jset ymax 1.0" N" ?; ?" ^& w% X( n" b7 i1 u# L
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clear-all-plots2 l4 d7 M: f2 c: A3 W
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setup-plot1. H: t9 {9 u! l% x
- n; p) R K2 t( u1 U, d* h8 ssetup-plot2" t/ [# b4 ?" w1 E+ F6 _
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setup-plot3
. z! U6 N, d: ^4 t9 a! y* }end
: S; X2 O" i/ Q2 d5 G \. x2 A
7 b! A2 u/ N) P! w4 d! [7 G;;run time procedures% B% ^/ w; Y5 B2 {0 L3 l
% ]( e* \, `9 Z$ Cto go
v' g8 Q5 S2 p9 x7 i% H" o. m" }
, ?# Z- @# L! b0 j8 ^) B( s; T5 Nask turtles [do-business]
, V; l3 X% J& y% V+ L. _9 L# Zend
/ v3 `1 A- N9 E* c/ n
5 P0 K2 z% f2 `% P# G( c& u6 Gto do-business $ M6 H7 K) [! C1 A, k9 T
8 k* ^4 {9 a8 h) {8 M
% ]" q. c! I9 T+ g) hrt random 360
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' k" u. S W8 _, L8 j$ Cfd 1
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ifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
% p3 T# T; N2 @5 w; w, z
; n/ J. v9 U( |2 v \: p1 V }) V;; set [customer] of customer myself; J9 v) V! }7 Y
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set [trade-record-one] of self item (([who] of customer) - 1)) w. l/ g7 a" ]; f4 [0 j8 l
[trade-record-all]of self
9 V" M3 E5 b ~;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self; g: V: X! V; q; `' @
( X) ^' g K3 }* D/ _
set [trade-record-one] of customer item (([who] of self) - 1)5 j* b6 _$ F# D" l3 B
[trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self, i4 r" Q6 h) i) W4 u+ z$ p! f$ Z
! n- h+ V/ K/ O) v% Vset trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
( @, k- j1 B- v+ u;;先求i对j的信任度7 G& X+ W2 U1 W3 j4 j7 K$ O& O# ~
, z9 q" ?/ c: R! _
if ([trust-ok] of self)7 m t" W! O) [, d2 ~
;;根据i对j的信任度来决定是否与j进行交易[
0 C; e( B1 G; L P! D' cask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
# q0 o& x5 ?0 D+ V2 ?
/ ~* {7 ~, G$ C+ k: [0 f[
X( m1 ]# o6 h2 A
$ ~* Z( A& ~ a+ y; ?1 zdo-trade' Y7 ]. b: n/ f \; k+ {
) B6 E* P! v0 |1 i* X5 ?update-credibility-ijl. c v% A: I4 M) k
3 @+ x+ Q! y+ o" R* k
update-credibility-list% N( C4 V+ m6 p$ B
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3 Q& f2 B c' w% `9 W
update-global-reputation-list# U& g k) S3 m
& @9 C9 \+ d9 @! I1 P) ?9 Qpoll-class
4 }: u0 }6 r5 `7 z& a8 |3 T2 d& n) b Z, ~/ `
get-color# E( a6 a" J, P% @, h' L+ r7 t* _4 I
$ d6 t8 V" G# X: e; v
]]
8 T" M& `- j2 I# A; h1 D8 q2 N/ R& o" a. G! x4 h0 C2 ~; a8 [1 |
;;如果所得的信任度满足条件,则进行交易
7 `1 |( b+ l0 R6 r u
" g/ {: u" z; Z3 y- k0 o& }% c" w[
% y8 z2 A. ]9 {" G6 }* [4 Y) k) |5 D2 Y. U
rt random 360. V6 S' D) P0 z; v
% L& O1 z9 \7 h! `* ]
fd 1
# u' ]( q% _5 p: m, U- j2 u) V2 ?) l0 T$ f8 T
]
- s' _# O( w7 b* G; `# b
$ R3 e1 S1 V; w& s" ]/ T6 Z7 n4 gend
' Z( A) g/ {$ K: W* f
: x+ G* ], c. O% Fto do-trust # i4 w# X6 z# ?2 Q5 L
set trust-ok False/ ] X8 Z1 v) V7 Q2 G
! l9 _3 r1 J! q: [3 @
' x; s" K/ m# y) r \' \ A mlet max-trade-times 05 C6 Z* A% m3 U4 [& |6 O8 R
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
; ~0 o. Z) O2 C3 D: S" e7 K3 F& ^let max-trade-money 06 R% q! x S1 n' m7 D
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]& t3 {) {8 Y9 \1 L
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))+ k9 c F8 V/ {/ o9 e' O+ o
. l7 i% d8 t4 m" ]( S% K6 y
# h! l' U! }0 w7 w# qget-global-proportion8 a1 l% p% z$ a r* C6 W! z+ B
let trust-value. }1 f# P+ F6 ]
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)8 ?* Y" [6 r c% |, E
if(trust-value > trade-trust-value)6 _6 N$ J/ z1 O6 O
[set trust-ok true]
6 G) a4 v q% P* t- a8 I) ]end3 y7 ^7 K0 y2 y' q. R6 w$ h
0 l5 E+ a7 y& _0 O: N N* P+ Kto get-global-proportion
7 |* V8 I- E6 i: p- V3 `4 y0 Cifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)/ l, v7 V2 e- }. C8 V
[set global-proportion 0]8 t' m% M1 x. ^# e
[let i 0" t, p$ u& O! ?. Q( S# F% {; y% Z' q" t
let sum-money 03 c- U6 h0 O/ b, e; H& n
while[ i < people]% F2 C3 O9 B, S8 T- T
[2 y# B6 I Q/ w+ Z6 _/ L
if( length (item i
_+ z9 E+ Z) ][trade-record-all] of customer) > 3 )) k0 r+ B& K m% R, O) r
[4 F2 C2 @ w# Y% C) `3 \' ?: c P
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)) Y& U) n& A( m: u0 ]
]
* o& x7 B B* P) b% O7 u]6 l: |9 c4 `) `
let j 0
: h) H* }7 y2 F6 u% olet note 0; _8 G/ G! k; h; G5 _
while[ j < people]7 g! L5 t+ s1 |5 u4 r% v6 }" T$ Q
[* [: N0 F( E* Q/ f3 v) x0 K+ O
if( length (item i+ l1 `5 J0 L$ R0 B7 h
[trade-record-all] of customer) > 3 )
- E) t2 m+ @8 [; E; i[
/ ^5 \0 I4 Z# a: kifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
% G3 m1 o. a3 W% g[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
, U: Y1 h& ~7 N# A+ K( Q[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
+ r8 Z; t' J, x4 {. Y]
' j' a, u$ a, q], u( N& ?9 p- S8 l o
set global-proportion note
4 z4 ^% E; D" A# k0 {4 s]
2 @, S" ~" K# R% `end0 b, f. U# _9 C: [3 G
2 c) ^" m/ K0 D. M4 G% e, Nto do-trade
$ ?- v- d3 S( W: F; ]: l2 i* ?5 _;;这个过程实际上是给双方作出评价的过程
% z# t. J( y. s/ }/ fset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
% {1 y; m) v( aset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价# U6 m9 ?$ v" C
set trade-record-current lput(timer) trade-record-current r7 w0 V5 ~( d" i/ D6 i
;;评价时间: l/ t' E2 m5 Y8 @) \/ ^, J' E
ask myself [" B& Z2 l! f) r( Z1 H3 d
update-local-reputation3 {0 e+ p9 P2 F9 A5 v# q
set trade-record-current lput([local-reputation] of myself) trade-record-current1 {: y* Y+ l: T3 s! X
]4 ?! D) g- n" ?& P+ I
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
1 V5 m& m- R5 k) P! A;;将此次交易的记录加入到trade-record-one中( P( d" J9 |+ R5 E
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)& X4 Y0 q, h4 T5 {% I
let note (item 2 trade-record-current )* Y; F) H4 {$ W* A7 k
set trade-record-current
" Z) f9 B5 f8 S% l2 ~) a(replace-item 2 trade-record-current (item 3 trade-record-current))
- n) Z) r' p! N4 x6 A0 Fset trade-record-current) s4 k; N0 P( t' n2 t2 |$ U1 z9 L
(replace-item 3 trade-record-current note)! ~& m+ U2 S/ v8 o) I. Q- D( B
$ G3 Z/ t! J. q. Q
# l0 x Z: s) V3 [ask customer [
9 e) [5 i$ M. n- Qupdate-local-reputation$ D" w9 y+ ^8 X5 o. S( b
set trade-record-current
4 p8 g3 h/ U& f: r4 F(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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9 a' I# A6 F: m4 @% J8 x& N: B1 J
. K$ g: W1 S3 J8 Y0 G! rset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer, w7 K4 Y4 O1 g$ z/ P$ K
. \6 Z' h. t$ D |* Vset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
. m6 { }6 K. m8 i: F/ }5 N, e& y;;将此次交易的记录加入到customer的trade-record-all中
G. g' n6 c+ @, q0 Z' Fend @7 J0 R6 `! J7 M2 @
: M7 y/ p$ N+ zto update-local-reputation9 D, [! N" R$ A2 H4 K% C
set [trade-record-one-len] of myself length [trade-record-one] of myself* ]; C9 n E6 L& u* Q, t
+ P) K* K4 ^6 ]- o! M# O/ L
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;;if [trade-record-one-len] of myself > 3
# y3 a+ N, O% Oupdate-neighbor-total
, y% O( G" g; {9 j9 }: f9 K7 E;;更新邻居节点的数目,在此进行
. q% t; e/ l" \3 `9 h4 ~" O4 llet i 3
5 W0 |% `0 w( h5 B$ H9 Klet sum-time 02 z) Q+ K* s4 V6 r5 o
while[i < [trade-record-one-len] of myself]* S. n6 y$ t* |* E4 y$ n
[' `' m/ @- q, `2 U3 G5 @
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )* X. [* S, _/ y% A( ^0 u' A
set i
" n4 m; ~8 r6 z6 o% [. y( i + 1)+ r" h; y7 ~. M) v2 |( ^
]9 i8 o! H, e1 W
let j 3+ O7 k8 R! |6 y- K1 r
let sum-money 0# P' P7 o$ n3 |/ W
while[j < [trade-record-one-len] of myself]9 k5 J0 L0 E8 n/ x1 `& [& B4 v
[
, l( ]4 I0 T+ l+ J$ H4 `- w Hset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
3 U6 o ]1 \. N ~. [set j) n: P1 G G# k' N/ M( \
( j + 1); D3 x: g( R2 g/ X
]& I! ~' z+ B3 ^' O) r A% A3 ^
let k 3) J8 W* u/ V& K! X7 ~$ F
let power 0. p6 r$ O9 ]/ v# `/ o" J: E% ~5 O1 B
let local 0. e9 t6 J4 Q5 t }% {- L; l; y9 a
while [k <[trade-record-one-len] of myself]
# a& J% O2 G1 f1 r[
( J; j1 Y5 t8 e0 n- j% Kset 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)
& Q5 ~: w+ T8 xset k (k + 1)
, ], q l2 A( a i]/ B/ h( h& Z' r8 X" N; s
set [local-reputation] of myself (local) {$ i: v( d& g8 \* R6 L6 b" r
end7 X5 W" @' z2 O/ W
/ S3 D/ P& S7 {2 p: a2 v: {
to update-neighbor-total% |/ ^% X2 W- z" n6 F1 o2 z u
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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% B" u3 Q" n7 g+ xend
8 W. ]+ ^+ I& l3 T7 X
# Y' T- w9 p5 @to update-credibility-ijl + R$ s7 v- I, B8 s, V: Y
( ?& Y6 U. f2 K
;;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。: c( u: ]! Q2 {7 C7 _6 a' \' T
let l 0
& s8 x. r; Z& X. P8 Gwhile[ l < people ]- ^/ i3 A0 j) Y6 |/ k
;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
5 M% D6 h( H- i5 |- aif (trade-record-one-j-l-len > 3); a8 W1 D4 g+ e( H# [& W+ F
[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
5 {- D" _3 e& J7 }9 h, rlet i 33 O7 r! ?# U. t: p
let sum-time 0# ~( U* I( Y: Z' {( `/ y" a( e0 o
while[i < trade-record-one-len]; a: m. ^+ X2 I2 o. X* i
[$ W: O) c& _' w
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
) S8 S: L4 G* b. |, Uset i
& c3 h6 q0 n& `; P9 C a9 N( i + 1)' h; G3 T: w4 D* m
]) ^) Q0 f3 m' w% z6 N/ t. g- K
let credibility-i-j-l 01 ^. V. G8 F! G+ R/ o( E: [
;;i评价(j对jl的评价)
( S7 |! n, L% _& [2 ^+ llet j 3
1 K% v8 u% \6 V4 G8 }8 Q2 Zlet k 4
8 E! L# S2 M/ G& r8 ~6 S- _- Owhile[j < trade-record-one-len]. q/ k5 j$ v( q
[! T2 N8 k$ \4 R9 z- ^6 Q1 z/ L0 n1 h
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
& ?! }. e6 H/ r% a3 o+ |! E( uset 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)
7 e G$ H) s, K7 W8 J1 `set j
; s4 q1 d; F& Y/ h, o" d( j + 1)
% J. P8 {+ w: U& {$ C/ n$ P]
) b/ v9 b) v/ g7 c; oset [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 ))% O9 t# t4 l+ F
% ^/ o) g* K* S, K" \7 z3 x( t
6 t* o4 f) \4 [4 Wlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 B- a8 }% @& @' y$ l;;及时更新i对l的评价质量的评价! m, M; S6 o) z! E
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
8 M* I' d( g9 H( k; B3 Tset l (l + 1)1 a) z( g4 R0 ?) c
]* x" }; `: I. w+ M
end
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to update-credibility-list
, U* A- F' r$ i1 H5 M# clet i 0
3 s; o5 }& K) }2 n) [ {% W. Fwhile[i < people]7 W5 ` d5 P8 ^8 O, H# S
[2 A. C1 x8 I: J& Q* D. g, J$ ~
let j 0- t: m* s6 n5 w9 P; F. J
let note 0
7 X- S- Z( q) c; a" _8 C9 plet k 09 V4 y2 V# B0 c1 v0 ]; {9 W. y: V
;;计作出过评价的邻居节点的数目
# v, M3 o: s3 Z( {6 mwhile[j < people]
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if (item j( [credibility] of turtle (i + 1)) != -1)$ V& T0 k2 Q3 I: V
;;判断是否给本turtle的评价质量做出过评价的节点
* i( k0 q3 g5 y4 H[set note (note + item j ([credibility]of turtle (i + 1)))' z. Z2 m0 [/ F& ~
;;*(exp (-(people - 2)))/(people - 2))]
9 _5 c; b+ q \: eset k (k + 1)- ` u" m [: O
]
' Z. R: h/ R2 X/ S! lset j (j + 1)0 n8 j Z- k" u2 k- M
]. f" X; Q8 v5 Q
set note (note *(exp (- (1 / k)))/ k)* F4 f6 o. T5 ~
set credibility-list (replace-item i credibility-list note)
0 @+ r0 M, `$ c# ?9 i4 F+ Gset i (i + 1)
& d [6 C% R6 b1 K7 `0 U# G1 W' C]) ^( W! x. k% K! Y. F% f* g4 d! [
end5 n3 L' o' b, j( F
! l" o5 Z) D% Jto update-global-reputation-list( w' z/ _5 C8 j( f5 \
let j 0
M0 R4 @0 a% n& j1 d3 ]' B% x, \while[j < people]4 ~8 \! n$ ^" R1 o
[$ Q5 y9 H5 N H- n5 E0 z) i
let new 0/ z' J9 }% J+ x, H7 K, k9 i
;;暂存新的一个全局声誉1 g8 w( Q3 A# Y
let i 0 D; _1 W/ Z0 L4 U+ k2 r
let sum-money 0
$ F2 u3 R u/ [: Y" L4 _! ~0 Slet credibility-money 0. R' Y8 R: u* `; L) E% r3 L. w
while [i < people]
; \$ f$ L7 K. q. s% `[
- l( J1 q9 M4 R. d! Dset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))1 F5 _: G. b( M1 `' _* D8 ^- Z
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))5 o$ w% @ R- s
set i (i + 1) }/ d7 Z6 l: v* i1 a% j" V
]
0 ^2 h4 I+ @& c0 A& Tlet k 0
+ D' m# }7 L- }4 V! U( J4 D+ Ulet new1 0
$ x9 z |* _& N. s3 W* k) Ewhile [k < people]1 ]& r9 v5 |+ ?! T3 k
[! M& ]9 d/ j6 c9 _% |# z
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)& N" g, Q& i( E# q
set k (k + 1)% G4 H8 ]$ l, v0 G: Z; T8 i
]. F3 q' j2 F4 p
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
! g5 i% [& g3 L; x! w+ {' L. lset global-reputation-list (replace-item j global-reputation-list new)
, p: O i3 H, a8 I2 zset j (j + 1)
g; o; y0 W+ A1 J+ B; p]
# L& |# F, U M% R* i! \, f- Hend
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4 C* k5 | Z$ O0 i) Z8 B8 |' z3 A( n" P1 y
4 _# i* F) h) g9 T- x0 n, O" D7 j
to get-color
1 C% ^( Z% b3 j! f
~# y4 H8 F g& h# [set color blue
/ I, V. ^& k" Z7 uend
! C' f" Z, L0 Q/ } M! k% u: T8 Z1 [1 W; b8 q2 {' u# I/ _4 t' r
to poll-class
e% F) B1 F qend
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to setup-plot1
+ w1 V+ l/ n* g0 z, v# o$ U( `: ?; Q' |+ [& p0 F' u
set-current-plot "Trends-of-Local-reputation"
/ B3 H5 R ^; R" D' G
* Q- H3 E6 ^$ v5 s4 z: Kset-plot-x-range 0 xmax
7 c" w: M# ~9 z* Q% [
! u3 H0 X2 U2 g4 k A: |set-plot-y-range 0.0 ymax$ k+ [: i; q1 _; k: Y9 m& u: ?
end
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$ \8 e2 f. Q; {3 \9 O8 D X" v+ j0 n ~to setup-plot21 S7 G4 T& W; ?: L; ]4 K
! Z9 V" t7 G% ?
set-current-plot "Trends-of-global-reputation"
2 j% b% B% T& W m# x' Y" g# h& f/ P* S, u
set-plot-x-range 0 xmax, s9 K/ ^ C+ w$ w
( S, u+ H) C6 F1 aset-plot-y-range 0.0 ymax$ u8 `; p* y8 \
end
4 d# J E4 a0 G8 O3 R: `9 m; \
to setup-plot39 K2 l( I2 x8 f6 P4 c& N# B k% g
& {& ?7 w6 q+ ]1 A' A/ Vset-current-plot "Trends-of-credibility"
c1 ~0 q7 [. N: a- R7 `8 ?! z9 |8 q: ]3 h" _0 }
set-plot-x-range 0 xmax
9 S0 j" {) j7 u9 \3 `
4 S- ]' K+ ?4 |2 i& u. kset-plot-y-range 0.0 ymax
( u( \% d& Y: I* |/ Eend L; {* T" {9 w0 D0 B0 F
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to do-plots
[ _" p) m4 o( u' ~! e# C+ j% Vset-current-plot "Trends-of-Local-reputation"
" R+ e8 |6 g+ L, l$ lset-current-plot-pen "Honest service"
5 e% o$ d; \: i9 qend
7 C- E7 E/ v% Y2 c' ~7 ?( f" e9 h+ X$ i
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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