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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" i. B. I$ M7 l& I- q# [5 o2 A
globals[
) E+ h" I0 l# c/ @4 zxmax
2 T* J4 @8 T& L& P6 symax8 b! [* R! h3 U) `0 P# O
global-reputation-list: H& E/ l2 ?0 P& M; G1 o: U; N5 ]
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;;每一个turtle的全局声誉都存在此LIST中7 U7 S B0 O/ t% [
credibility-list
( x7 U. D5 J+ P+ D;;每一个turtle的评价可信度7 ^& P$ M4 s( [5 C
honest-service
s( E4 |- @% H+ _" nunhonest-service
, D4 ~ j$ c3 i' [oscillation8 C& x; @0 o! P0 _; x& J
rand-dynamic
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turtles-own[
, D$ Y5 O# S2 i0 ?4 Btrade-record-all
+ |, d$ \7 v! ? b* q- |- B+ j;;a list of lists,由trade-record-one组成
, I) A) I) C' K/ P6 Ptrade-record-one+ ^: b8 B% W0 [( B
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
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" \9 E- | B2 Q- U3 t% r* a;;[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]]! Q7 l0 d$ k( R+ I0 A( k/ m$ ^9 a
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]" C# c @6 ^& n4 r
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
$ ?* ?- V! M1 y5 k2 ?" f# Rneighbor-total
% y, w. P9 u: g! q8 e( w; U;;记录该turtle的邻居节点的数目" d; F: O. r5 {. x1 y+ |8 q
trade-time, [4 f% R2 u& _. x! c% V
;;当前发生交易的turtle的交易时间' c) J% Q- o# P; y4 V/ B7 `
appraise-give
5 l* F4 d& Y2 o5 m* f+ m& F;;当前发生交易时给出的评价7 @; L: ? g( X( T' l, p( P2 @
appraise-receive! U. W* P2 k2 m
;;当前发生交易时收到的评价- a) M: A( Z) W C1 A! D* f
appraise-time
4 x2 {& X& ?3 w8 n;;当前发生交易时的评价时间* F' l' L0 c- n
local-reputation-now;;此次交易后相对于对方turtle的局部声誉3 ?+ p0 u% y+ X9 j; I
trade-times-total
8 x& e9 h7 \( C" w& S; ^5 a( I$ ];;与当前turtle的交易总次数
, [$ x# I- v# Z* A: Wtrade-money-total+ y3 v+ W1 I0 ~/ x) o6 z, ?3 f
;;与当前turtle的交易总金额
- ~% U& y% a8 [5 u! g4 q3 |% u% plocal-reputation" Z, K$ U% z9 m6 H: Y1 u: n- e
global-reputation* A+ Z' x4 `0 w8 K. D) k
credibility
9 x/ D% x. P6 e- C" B% ~/ e;;评价可信度,每次交易后都需要更新* f* h: X3 }# _, w% W' T3 F4 s, g" K! p
credibility-all" ^3 Y6 Q. i% k! k! 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
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;;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
2 b# b M: r% E2 o0 X. Kcredibility-one& k1 ~: g( d6 H# f/ ]1 _
;;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
6 P* i- E+ n3 `" {global-proportion
3 s9 k9 H2 n: y6 k D) T) x4 ~/ [customer7 P2 J1 V1 g7 B! U
customer-no
" C; [" K7 j2 f! t+ u" R8 ttrust-ok
" ]1 T6 m9 M4 ^) |, g# Htrade-record-one-len;;trade-record-one的长度
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5 k2 e2 r. n% M9 h$ ~;;setup procedure% O7 G% z S/ ?1 v
7 j p2 V9 E {) f' sto setup2 s. |8 b; _6 E9 ?8 z y
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ca$ z5 X& V, G A- V% ^
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initialize-settings
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crt people [setup-turtles]4 U2 N ?# y* M9 U$ ?9 Z
' Q7 I' n" V2 ^1 W5 y1 r ireset-timer
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8 F& Z' x5 q- j. q" N; R( y8 s2 ?* {poll-class4 \4 }5 K0 Y# _/ E. R0 |( N* F
+ P2 T5 c5 e6 D. |6 csetup-plots8 X# k! U! U1 r
! o* ]3 q9 U0 hdo-plots
8 k( |/ q/ y, l. t; I! }" Q5 yend n6 @ N% A @! X& y; t9 C* O
1 @+ A1 G3 k S ?, D9 ~ [6 @to initialize-settings$ `$ x9 C# f* _8 T0 r# t: v3 Z4 R
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set global-reputation-list []
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set credibility-list n-values people [0.5]
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set honest-service 0
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set unhonest-service 0
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set oscillation 0
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set rand-dynamic 0. {( t0 b$ Y$ ^9 {* a( F6 S
end
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to setup-turtles
5 c# b+ Z0 x* Q) s4 f* H* a% S+ Rset shape "person"+ T6 S" A! h5 h. n& @0 ?& b
setxy random-xcor random-ycor# n# J7 @# T0 O) ~
set trade-record-one []
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6 ?" n/ N) d! k" \; Wset trade-record-all n-values people [(list (? + 1) 0 0)] 2 q- B7 k+ J+ c5 w/ v, c! s# ]/ S# z
2 E: H3 l+ ^4 y: C/ |2 W9 Tset trade-record-current []
% r I/ p. R5 D" Jset credibility-receive []
: e. R/ V, p5 U7 Y& P& t* L$ N D) tset local-reputation 0.52 f* T+ M8 d6 z$ O
set neighbor-total 0$ { Z* D+ A6 c. y* J
set trade-times-total 03 ]1 k0 I1 S. N Z( m
set trade-money-total 0" k( f& _+ ~5 P
set customer nobody
: i1 a+ B! a% R& Q* gset credibility-all n-values people [creat-credibility]: [( D2 O, ^: @" i, W
set credibility n-values people [-1]
# n$ H, Q) S5 L L! k6 t+ k# Q$ gget-color+ t J8 u( F9 t2 g/ P
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end1 Q. B; T8 U+ S; m+ n3 W
5 b' M% `* |4 A& f8 J' |+ z; K: e" Yto-report creat-credibility: e4 t! T5 V7 s( o) X, A! y& N
report n-values people [0.5]
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to setup-plots
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set xmax 30& q+ a$ _" h' U$ N8 ?" `
. y( Y! y# p* R; o# x+ i
set ymax 1.0) i& `1 |' C) y; x2 G; b/ k
& F) d, T e% T$ T9 t" b. l# iclear-all-plots8 j& }& X8 M6 t- z7 T b, C% q, M
/ r' Q9 `2 n( s( K3 W: jsetup-plot1
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setup-plot2
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setup-plot3
' _# t/ x/ f" U q' q, O; H1 Yend+ a2 B7 b( e$ q3 Z, H& v8 Y
; j# m' a2 ] O2 ?" S6 z;;run time procedures! J8 \# d& b* l$ ^1 P" K, a
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to go& D3 g1 t5 ~; @ k3 u9 Z7 }
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ask turtles [do-business]# P/ h' \7 [- o6 P( S3 }0 R1 ?
end8 h# y$ s1 E+ f& g# T- q h- T) b( o7 d
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to do-business
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1 @5 w/ r7 i$ P& brt random 360
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& p/ D; ?2 [6 j5 C' A3 P9 S, d3 Zfd 1
G, ^/ n. G; \( z% ^/ y P- g0 I- r1 w& }7 K4 F1 R: |
ifelse(other turtles-here != nobody)[. p/ E4 q( Q; x8 z3 B0 {
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set customer one-of other turtles-here
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;; set [customer] of customer myself
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" s" g8 K: i! `! Y: a, Aset [trade-record-one] of self item (([who] of customer) - 1), m+ A$ z* r6 ]- N& a- V
[trade-record-all]of self1 h! |% v, M- C3 Y) C' X
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self0 I+ ]- N4 I9 U' z( s' q
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set [trade-record-one] of customer item (([who] of self) - 1)# _, ]- p6 Z6 n$ U$ n
[trade-record-all]of customer
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. W$ j" Q/ E9 O8 Gset [trade-record-one-len] of self length [trade-record-one] of self
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set trade-record-current( list (timer) (random money-upper-limit))+ V6 g8 Q8 Y% k! c# Q3 J
6 d7 A) S0 F9 w7 t2 \/ Z0 H! nask self [do-trust]% k3 B. R' {! g4 H% N
;;先求i对j的信任度
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if ([trust-ok] of self)1 G# H' q0 x. ~8 x3 C
;;根据i对j的信任度来决定是否与j进行交易[3 U0 c( R, Z$ j/ k
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
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do-trade
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update-credibility-ijl
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! y0 n3 _3 K$ R" k1 lupdate-credibility-list
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& l# L3 ?4 I5 o. x8 U- h5 l9 `update-global-reputation-list! a$ j$ U" l' j' V# U
u3 ]1 J% c$ _; Bpoll-class5 c* M) y3 o7 r& y: ?/ }1 ^0 z
$ g6 ^/ f1 f. _8 }5 w
get-color
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" v' S/ G3 d# T: [4 D]]
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;;如果所得的信任度满足条件,则进行交易
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[. ^# g2 N9 o/ U- F" ^# Z
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rt random 3609 G$ u3 Q* \8 @8 ~) j4 ?2 q: h
4 M, R4 _: p$ I# j# q7 T; ufd 1
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/ p* h4 z7 i. V8 v2 Fend
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2 S7 d5 [+ k: j+ ?$ Xto do-trust . A$ `9 R1 k, ~' D3 x% B+ h6 e8 U
set trust-ok False
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let max-trade-times 0
0 P) H; ]; e4 W. e% Rforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
. c) L1 y4 v, z+ M+ C# n4 klet max-trade-money 0
0 @% a# X' T0 Z) j) b$ Tforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]8 d5 g) B0 n# [# F2 E2 M
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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get-global-proportion3 l) Q& `! m# W1 u C4 h. E
let trust-value, {1 w9 t% A# i w
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)( e( a* B+ F% D* L0 k) e# J) N
if(trust-value > trade-trust-value)
+ ]2 ?9 y7 i$ H3 p O3 W[set trust-ok true]5 I+ T1 r! y0 k- o
end9 a" |( n: R3 W& |
: _6 e1 x2 t/ a1 n
to get-global-proportion
% C! A; J* O* r- |, k# jifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3) r6 I) I; M7 l8 c' c1 Q
[set global-proportion 0]' g* q- i- X) U* {5 J+ f) c
[let i 0
+ E; O! s9 E2 @$ xlet sum-money 0
: E; F/ w; u" T: Uwhile[ i < people]
" U+ W$ b4 o4 o( e[
; U( y2 [ m( a0 D6 [if( length (item i
0 |' v& B$ R. @" T' a) o C1 l! J[trade-record-all] of customer) > 3 )
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set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
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]" a& u, s0 ^& o5 X7 y3 [
let j 0
3 [: `) J+ N" p1 D" G) h) q4 {let note 0
+ e6 v1 P6 e7 n8 W0 Jwhile[ j < people]; h# O: F! D$ `, r: S5 ~
[
, g S* l% z. f4 F6 ]3 tif( length (item i/ S$ g8 r0 c$ t! z+ J" W
[trade-record-all] of customer) > 3 )
6 |3 z* ~ N( X; U' @( c4 \0 \[) q- F9 x3 t% r' G. t7 z" h
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
+ m8 ?" Y+ B6 J[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]. e; o1 A9 m# p
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
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2 |2 `: j7 u T+ Q9 l* y: \2 E7 lset global-proportion note
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end& A" c$ r9 [; v! ]$ c
# _; d5 z8 {) m; h6 N# K, U1 |to do-trade
, a; H a# }3 _! f8 N1 ~;;这个过程实际上是给双方作出评价的过程
* X. o8 `1 _6 ~+ Z' ^5 Oset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
0 E# S, j* M' n+ A" H# U) h* sset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价; n n5 }/ O1 u( ~: S1 l
set trade-record-current lput(timer) trade-record-current% | h9 K; i) e/ J, _7 ^3 x
;;评价时间
]$ T0 D$ g1 x4 b1 V$ {ask myself [3 J* P, b( ^& B) z5 n4 ~ o
update-local-reputation9 M9 ?5 z, K5 O% o2 H8 c
set trade-record-current lput([local-reputation] of myself) trade-record-current, R% c3 p/ j; O& R% U1 L7 e
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set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
; ]8 {+ y9 [) u4 i' z;;将此次交易的记录加入到trade-record-one中8 A, c& X! C7 l$ k9 N( S1 _6 y5 H
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)6 W- F4 l* n; L. I
let note (item 2 trade-record-current )
7 q. P" |' {& ~/ K9 h9 i* i/ iset trade-record-current8 S U4 p9 y$ r+ U1 d9 l
(replace-item 2 trade-record-current (item 3 trade-record-current))& |7 v- {$ |/ d" z4 q2 M
set trade-record-current3 }& m) m: u8 Z2 r
(replace-item 3 trade-record-current note)- Q* R" F7 ?5 H+ T1 Z3 l
2 u3 z9 v' c% W8 Z" Y* o& i4 n9 J: x+ y R) D: \( H
ask customer [: p7 y. M9 T/ K6 d* d1 ~, T
update-local-reputation( [4 L- y) i& w: A h
set trade-record-current
/ ]2 F8 |3 J4 v- T5 d" U(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) . |% N( x3 X6 e, J
]2 r. u9 }7 J0 o* I
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& q. @' E4 D# U6 sset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer" X1 `3 m B M. W: _( d' K
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set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
. {7 h/ G8 w4 P. [;;将此次交易的记录加入到customer的trade-record-all中8 D2 q' _' \) c8 o, V& i- S. a3 t6 V! L
end+ e- d- s/ E+ m: T: B' O
' L- n V( E2 A1 u( hto update-local-reputation( ~& j% L' E: j0 f" \7 F
set [trade-record-one-len] of myself length [trade-record-one] of myself0 }2 ?+ w6 b/ L' O
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, X) i" V- m" y/ S/ r* s$ m;;if [trade-record-one-len] of myself > 3 ) \" J4 o1 B, o# |. U
update-neighbor-total
4 ]4 ^+ {1 i# n2 L$ n* y;;更新邻居节点的数目,在此进行: [1 ?1 j H/ F+ \# M
let i 3
2 t1 T1 r& _! a$ p$ r+ slet sum-time 0
' z( K Q! e- K! E: L: P2 D5 {, twhile[i < [trade-record-one-len] of myself]7 I* d# [# w* a8 z0 k g
[8 N/ ^1 t9 W8 t5 N
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
' L7 P/ ?% i) d$ T* xset i
! k9 W" k, y3 N8 z! V( n; y' X( i + 1)' g, `" j2 t6 y% I( x
]7 V' q/ J( ~) ?7 L" d* x n
let j 3. e, x8 ~) l) g# A( D$ k( D
let sum-money 0
M% b8 k, f8 g# G: e+ pwhile[j < [trade-record-one-len] of myself]
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: a( @/ W5 k: w9 Y2 r+ Sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
0 n" c$ [, l! d5 _set j6 p8 ^; T; _8 a v, p* T1 X
( j + 1)+ L w5 c2 O/ z0 ~+ Z* @
]! G5 ^% ]0 I5 v$ A1 [
let k 3
3 v0 ]% h/ D% l8 D5 Qlet power 0
2 T# I6 A! Y: M6 p% ^let local 0; D& H; X6 [. ~
while [k <[trade-record-one-len] of myself]
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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) 4 E0 P$ j1 ]6 d. W& O6 p
set k (k + 1)
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" n4 A- l) h8 D4 w6 l3 a I& ]set [local-reputation] of myself (local)
8 R) H) c' Y2 _3 d6 Iend
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' [' H3 C) x6 ?/ ato update-neighbor-total; S" a3 O7 z4 _+ z
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]9 ~" U9 R, Z9 G' l0 H
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! l8 N. C6 i' Rend
7 `$ R: u! ^: u' E4 y; d4 L# h% |" g: P c; [
to update-credibility-ijl 9 a7 A4 u8 E. j# K6 X+ q+ v" S
) [$ Q( t, @) E5 y, {. Q& ?;;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。
$ r$ _6 t0 m7 t4 _let l 0% M5 Z4 B( m7 w6 O3 z/ Q
while[ l < people ]9 w& B- T( D6 B' S
;;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7 \) M3 B; L; m5 ?
[
$ _ y( u$ a: G, j5 i4 ^5 rlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
. o8 Z; Q$ a! Y8 J) C, D7 \5 m& lif (trade-record-one-j-l-len > 3)
9 G6 B. ]8 J& H9 K, k% y# J[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-one6 j0 t/ @7 q) p9 t; F2 [3 Z' |8 \
let i 33 h `0 ^" D& {% l+ j5 ]4 l
let sum-time 0
6 X" I7 B/ ?6 }8 m1 f! y, o+ Awhile[i < trade-record-one-len]
3 a9 f. A/ ?1 ? `' W[3 A# M9 i- W ?- U
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ) N. Z9 l! C' ^, x+ Y! X. Q
set i# A+ L" r' j0 a
( i + 1)7 n% l5 M# Z( J8 Z6 E; r# J
]
# d# D& p* g+ B* a1 [# Alet credibility-i-j-l 0
5 l" h: u! e! M3 P6 z0 F" F& J;;i评价(j对jl的评价)
F3 I: L4 r" Jlet j 3
% `- E+ S6 l7 \/ |( Z3 O! O5 {let k 4
T# K' c7 c: Y' K& i% ^) L* Zwhile[j < trade-record-one-len]0 H0 k' Y, P, F! P, m4 ?; G5 K2 i
[) Y& U6 c/ K2 L6 a' U( c5 l! f
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% Q1 F0 V p# C9 D0 {. ~
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)
+ @& _# f( B5 s* Aset j# G) y" X9 M% l/ L$ V k* G L
( j + 1)
, x$ b! _* y' B7 K3 V$ y( }], b; W& B' w9 e& S) b' c
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 ))4 W2 w5 l% A6 U) s3 ^, y: I
/ p$ G2 M' Z' {+ ~ }6 h0 k
* s5 s0 i$ [4 b; a+ Ylet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))9 b/ k2 U, I9 Q W9 ^
;;及时更新i对l的评价质量的评价
+ ]" s t6 L I+ jset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]8 C2 T" l: o9 j- D- H+ I8 S( P1 P
set l (l + 1)
/ o# l' c+ o" e* y) a* j]
( W% ?' B1 G3 E4 I4 U! X: Zend4 L7 O8 I3 E0 S& c7 ~$ P+ J
: b; k' _" q( l
to update-credibility-list
- H" c4 H Y- K& j4 ~& tlet i 0
8 k$ V) ]( C# \9 [3 d: Ywhile[i < people]- z; |; y1 y7 B$ ]/ E& v4 |6 a. K
[
; o: s5 ]% { X. R3 v/ Vlet j 0* _! C: H* e/ a) q
let note 02 {4 E( c3 ] L8 P; U6 w
let k 0
3 y5 Z- e, f7 ?7 u* }% G;;计作出过评价的邻居节点的数目
5 \5 `5 q: n( x& Owhile[j < people]6 F v' z) ]* ~( T
[
* }2 J/ }8 i8 wif (item j( [credibility] of turtle (i + 1)) != -1); w# g' E1 ~/ Y' V/ |# _' `( K3 e6 Z6 }
;;判断是否给本turtle的评价质量做出过评价的节点
0 ]) J4 _9 L1 m8 w7 V8 b0 T1 ~[set note (note + item j ([credibility]of turtle (i + 1)))
0 I/ |8 j* p. U; t- E;;*(exp (-(people - 2)))/(people - 2))]
' N: N& k g* V8 b( `set k (k + 1)
" ^" N+ J9 U; K+ W0 J]. J, ]" R. z4 D, J
set j (j + 1)
; z- K0 b5 H) i2 `0 L]6 |, r8 g% y- T. W: e2 u7 B3 O/ Q9 @
set note (note *(exp (- (1 / k)))/ k)
$ q1 O% ]8 ~8 |1 nset credibility-list (replace-item i credibility-list note)6 ?- B8 s- C/ s( C
set i (i + 1)
6 _0 e# S }) M( s]; \( u: ?6 O3 e. C% W1 h' h# M
end d$ u4 V; N) H+ b4 x Z) D
' U/ w. s$ D# G3 q* \2 I
to update-global-reputation-list- d5 y9 c7 v* W. z
let j 0
O; R2 h" y' [+ c# @6 T) rwhile[j < people]( O! A0 J# L, W: \5 C# e
[
9 K5 { J5 u0 l( G1 jlet new 0+ o- d4 J; q1 F
;;暂存新的一个全局声誉
0 I$ {0 T0 E* A# l$ }1 @let i 0- R8 x' ~. I. K- x4 O9 d T
let sum-money 0
9 ^/ F- D% z. G, ]* W# P3 olet credibility-money 0
- e) v, T4 \" E0 { vwhile [i < people]
. U _, g5 y! B6 u; r[8 X- X) Q# V a, F% y- N5 u. D/ N
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))3 }' }7 Y* N1 b T. r$ R/ b( V! x
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
/ Q: @ u% {' I) a5 X' C+ \' Mset i (i + 1), V, M [/ u4 R2 }' h( D5 [
]
; A1 D0 l, U% g, A( n9 s8 flet k 0. w$ Q/ j/ t9 m" H0 n( I# R1 W/ l
let new1 0
: }, i$ v2 {) ~, J+ W4 Dwhile [k < people]
; t7 Q$ x5 ^8 X8 s[1 |: N( [2 W5 U8 M. v
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)
$ c' I9 q8 a j& Lset k (k + 1)
; E4 C" _# v5 M2 b( R7 S" T0 s$ O]% H# Q) A0 z y1 c, g( u5 F' C
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) " `$ R* Q, w2 n5 [6 u
set global-reputation-list (replace-item j global-reputation-list new)' Q% |8 ?2 N9 `- S1 V. k
set j (j + 1)0 E& \( t- G, `. T
]
2 k6 T: h% T5 d% |7 {/ Xend
# {/ {5 h4 d& [: D V: Z4 _' z# J% I5 n& Q* }& e; Y1 W
" O' W& D6 N4 ?: ]" R
6 U Y8 ^- \9 j. v% P0 Z4 s( zto get-color
# w1 S& a5 H4 {, ]! k
( S0 M4 M1 }0 {8 g: g9 t, Zset color blue. Z* M/ T; j& i8 x. H
end
+ {, Q3 q5 |) S* }6 ~# ?
( Z' E$ N, o1 a) u' X# a! Oto poll-class
- ?" r- R3 T4 {end" r& u. v1 D1 H' b/ Z2 J' K
* ]# K0 I O' K
to setup-plot1
( W; u5 |. A3 q6 J0 ~9 s5 J# o1 W/ |- d8 Q
set-current-plot "Trends-of-Local-reputation". _8 N5 X5 [: z, o# B0 D" ?9 _
( \1 A, t! K9 a; u3 B5 a& v! ]' rset-plot-x-range 0 xmax
3 T) _8 U) k; r, P& L2 j1 `' \/ K
2 N& ^* X1 M' C" J+ B& @1 Bset-plot-y-range 0.0 ymax
$ H6 v8 x q* o1 t2 F, C0 n% a. \end4 T# B) p; l; r: o
9 K' B7 E. T$ ^ r K
to setup-plot2# N' I/ Z: k/ @/ |. U; P+ E& q- J
6 A$ e; p! V4 k8 k) N
set-current-plot "Trends-of-global-reputation"
- u9 [+ ?: K# `! a, T& l' C. S: U
set-plot-x-range 0 xmax
. V9 n$ I3 v; F* J
. Q+ v8 f3 k* |- g1 K E" K0 w6 f+ u$ eset-plot-y-range 0.0 ymax* M0 A; N& `' i; _% {7 K) @
end1 t* C7 f' h2 }+ p6 x
0 {1 ~% N) S( S. p4 N
to setup-plot3
& q" P' [4 P/ l; i) }; Y* ~) s4 E+ ]- [, G D! `7 i
set-current-plot "Trends-of-credibility"2 n/ l3 b: g o6 B6 A+ Q+ ^
1 `- K1 u" ^, u. a2 ?8 T$ Jset-plot-x-range 0 xmax
2 o x* Q3 k9 k { |4 c4 z4 M5 E6 P3 B& W
set-plot-y-range 0.0 ymax: E% q3 [: @1 r1 H6 r, @5 X% n
end& [. n" |# F H7 T2 ^
# _- V1 Z* c! l! |% c3 ?9 z% Uto do-plots. s/ t j% _% m( h
set-current-plot "Trends-of-Local-reputation"
! ~2 l: ?- M# Qset-current-plot-pen "Honest service": d4 g4 O4 K' r* I6 f& }+ o+ _
end
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e" ^$ Y% B& Z, E0 R[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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