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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 M! z8 X/ z/ @% pglobals[/ N3 T4 v& o0 o1 P8 t) P* k; j
xmax
4 x" c( C4 X0 V: E2 g4 R( l% Iymax$ l" k* y7 @ f, @+ ~0 w7 x
global-reputation-list! }+ K. P- G7 h2 }$ t+ I
+ H8 l9 i) a* k5 X) ]" N* o7 {
;;每一个turtle的全局声誉都存在此LIST中/ _: Q; U$ K* x
credibility-list( G* j% G1 Q3 C* k/ h- m- z
;;每一个turtle的评价可信度7 J- K+ `% z- ?3 K6 P1 J( S
honest-service' z9 L9 L+ \* k0 A2 u% @
unhonest-service: y9 Y0 L! k" x* L
oscillation7 ~& o+ X' y" G& O% t, L
rand-dynamic
4 C9 o. d# N8 h: U0 T]
( S7 s9 t6 W+ C- c# t: q
- _/ a- X" o& a9 a) G0 w7 mturtles-own[
' z' q I# a; _3 ~3 T+ htrade-record-all! f' a8 \' K3 y) q7 l x
;;a list of lists,由trade-record-one组成
: _) o9 |0 ^' D I; K. W$ D# W, Htrade-record-one9 o7 Z: }+ I. n# y' @& q3 \+ a
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
5 v- F% t! w4 C7 w1 d3 _( F' X3 G/ c& a2 \, O
;;[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]]3 x- H$ X/ B2 t, H1 B
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]
; [2 j. D' u1 j7 g8 M2 \! Mcredibility-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
k% y, F) R# u; zneighbor-total/ o5 }/ ^+ a3 U8 F
;;记录该turtle的邻居节点的数目3 n$ e" \# N3 z* Y% C& j
trade-time/ m( z9 z5 x, R3 B- d
;;当前发生交易的turtle的交易时间
1 q6 n. i( v* y+ J- @0 Rappraise-give
$ L4 A3 c" S: X;;当前发生交易时给出的评价
2 T8 f7 T) h0 k( e5 P; rappraise-receive
( z; t! }+ [: N* H, d. _;;当前发生交易时收到的评价
/ t% q6 v9 N5 ^appraise-time
/ H5 ^# S( F# };;当前发生交易时的评价时间
& b: Y) U1 R- X9 T; `% Flocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
2 V) P! T$ _, O+ Z7 atrade-times-total: L% M2 w) u+ k9 o
;;与当前turtle的交易总次数& P5 w0 t W8 {& }. b- Z
trade-money-total3 {7 d' w& Z, L t- P* s
;;与当前turtle的交易总金额: @9 [' A" F% b. b# x. [! v
local-reputation$ x# U7 u3 K. u) }6 [$ d
global-reputation
: d7 p2 {/ S# A$ i- K) ]credibility
/ V) l! n. d& };;评价可信度,每次交易后都需要更新
) l+ L! L0 O* e+ F3 Kcredibility-all% a+ R5 \: a$ o
;;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
# H$ K2 ^/ ^. Z% @
( j- G8 B7 @6 I2 r5 l;;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 x1 {7 b5 S' E. [2 Icredibility-one
2 D. j# z& t$ u ]) f$ ]- a! o;;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) J/ r; R5 x: U; k5 f4 T
global-proportion* L5 M" ~6 A$ ^7 ?$ a, c
customer
' v- l/ G* Y" F6 H1 N2 L8 {customer-no" q# S9 T+ a3 p# b* v: c
trust-ok
+ Z: n) o u( ^6 P- F1 ^0 @7 ~9 wtrade-record-one-len;;trade-record-one的长度) U( g& z2 E- Q) B) Q. ?
]2 y4 @, b: ~+ h r6 `
- a# ]& x# O, a m( R. Y. Q5 W
;;setup procedure
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) p* c+ U& K# }* l; L- _' Z6 I/ ?to setup
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( u5 r* y, {" t) u Zca
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4 J% t5 F$ |7 E0 n7 H0 H8 E! Rinitialize-settings
3 \: B% [& h- w& R) I4 T4 L6 C: L& p9 C( t" R
crt people [setup-turtles]
3 S. e# d* h( ?
# ~" A. @* {4 I: z/ q! w" {reset-timer
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8 }9 s, Y( y$ c& H9 P! A# g* upoll-class9 P$ @9 ^. j5 }3 z
, Y" X6 d# ~1 g' @, e2 u0 ysetup-plots
8 B# l3 F0 a- J2 c# z0 r& r* L$ F: f2 V0 H* X- q. W5 T9 u @
do-plots$ ^ a4 q& k( b
end$ V6 y Z- M# x( n+ V! \# k
3 b" Z: Z6 S7 }) b4 D$ _& H; dto initialize-settings
1 V1 X5 O1 w5 r" ?1 i1 M' Z4 l4 m
) a7 T, F q6 ?set global-reputation-list []
# m( l1 y8 h* V, l: x2 M, H, S
2 p% H$ }3 T6 m, M7 \$ X; Dset credibility-list n-values people [0.5]
; E. f. u7 Q/ z5 g0 C
7 }( B6 n7 u" q' B! ?set honest-service 0- W9 S! y; L& a) l* P, M
( t$ H. ?. b$ R! X' p- s ]
set unhonest-service 0
0 \/ ]1 W& \$ K% b, x" o
1 v5 n2 V5 h8 }set oscillation 0$ f/ `1 u; x3 `, c; j. Z
2 r2 u: z3 R5 M# u* Vset rand-dynamic 0& h7 [) f) N3 `# X+ s2 A% p5 j
end4 } o* s. e1 R5 ?& ?5 Y# a# H
% H3 w% B! H2 u0 t% Cto setup-turtles - L! w/ b* Y. x* O
set shape "person"; _4 E0 O2 o/ B O9 E
setxy random-xcor random-ycor
" R7 s: m3 I( P; j8 ` F; [set trade-record-one []
' `& x, I6 A7 }- l6 p
2 [- E# ?( c$ b2 hset trade-record-all n-values people [(list (? + 1) 0 0)] ! }4 x! V7 m( ^$ S- s* Z9 |9 g( Z
! \2 M/ \7 I2 h! q& D2 c) Q
set trade-record-current []
1 l9 a* I: ?) M: B0 g: T! Nset credibility-receive []
b: r* `7 b2 k& v- j# [set local-reputation 0.5. c. Q- T1 `& U+ M8 o: I" i. R. M
set neighbor-total 0
5 o( i3 r2 I5 G4 B2 Z& Qset trade-times-total 0
$ Y; J' _, J& F/ O5 Hset trade-money-total 08 B; @4 \, g7 x) H" c* l. P- d
set customer nobody
# t: d' t4 a$ O) X% S8 I. Wset credibility-all n-values people [creat-credibility]
7 P9 a: f! M( S6 R! G0 Gset credibility n-values people [-1]
+ M, e( s# r1 K3 kget-color/ E: Q `7 C/ }/ i' V6 ]( X9 H" B
4 \9 q3 ? }" V; s7 V. }end5 b! O B3 s' {$ _: h% l
- ~1 E( ~; C' K) l
to-report creat-credibility1 A5 x" X5 z3 a4 L6 o' B6 f5 H& G
report n-values people [0.5]
/ W9 @6 X: C) j" c0 \* rend
c# E1 m/ N( r3 Y2 ^, B+ w, z4 O( C s8 u4 t
to setup-plots0 Y8 h1 J4 q3 @& ?
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set xmax 30" a0 V" s3 x& u$ R) x. z( E' T9 r
9 g/ x5 c1 N" C! U1 K) Zset ymax 1.0& H8 j7 F1 @+ s( @5 P- a- ]
# R2 N! {0 t1 n2 Hclear-all-plots
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. o" J* x9 O( H& o9 jsetup-plot1- \1 h( Q; O6 u) H9 j& x: c, i( W
( I- z7 O/ D; }
setup-plot27 ^4 ?4 n9 {4 ]* y, ^% J" p
/ i1 v* M5 O0 h, Nsetup-plot3
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+ y. ]# n( l" X3 ?
;;run time procedures
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to go
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/ H9 v7 }* P# O" k2 c" Y" C9 Z; D |ask turtles [do-business]. I: S* f( _( T3 a y
end
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to do-business 6 x4 M7 z: g& f7 V! `
) ?+ q. K; _- m( P
1 f* Y7 S9 @( e w% Yrt random 360" q9 z: ]1 s" O' n/ s3 r& c
6 t( v" {. c3 @9 H: s: {- \fd 1
5 a' \7 s8 w, S# Z
: {5 W, f! G+ F3 ?ifelse(other turtles-here != nobody)[* M& P* b5 y; T* e) |. w" _$ T+ w1 I
- x R& B* O W8 O) w# F$ Y6 V) \0 [1 }# {set customer one-of other turtles-here
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" m2 Z3 w1 \/ x3 z W+ }+ T0 y% p;; set [customer] of customer myself8 P" m" D, B) H
6 I u0 Y# ~& p$ ~/ o+ `set [trade-record-one] of self item (([who] of customer) - 1) r$ {: f, l- x* } P
[trade-record-all]of self3 B" c$ R- f: ^. Q/ L) [' _
;;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)* A1 O! W* ^- U5 b+ `
[trade-record-all]of customer
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/ U, G- k3 o- s( `3 a+ gset [trade-record-one-len] of self length [trade-record-one] of self- M5 G/ q' \9 t K" f J
/ Q H1 T1 n* K: ^8 kset trade-record-current( list (timer) (random money-upper-limit))9 l6 U+ q4 t: f( q2 B# t) ?
4 Y( i/ g- R$ `2 a! nask self [do-trust]7 A- b; }" K) N
;;先求i对j的信任度
9 ?5 \+ A& T5 D1 @8 y4 k$ N8 P- t! P7 d3 ~
if ([trust-ok] of self)
: P; {" i" b* x) H, ~& L y% i5 p;;根据i对j的信任度来决定是否与j进行交易[
0 e% ?0 W) ^/ w. J2 u5 ~; O) v$ zask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[4 t& \- G' u H: O- b
+ \6 e* k) \0 |8 g- r+ c! y
do-trade
* F$ ~$ J% y# S6 }5 H* {. h# P: l& ~
update-credibility-ijl
; }- R$ s \6 t2 F& a. I; ^/ N2 X. |- j
update-credibility-list
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# q5 u1 c3 m" @& T, [9 `( h8 Hupdate-global-reputation-list
5 D4 ^' V! V9 x1 }5 O8 c& R& a/ K; r8 x' ~+ L
poll-class
5 ~. U: G( h* d% `0 [- k8 _
C, o2 e6 W, B5 \get-color
* Y1 @ C& j& T9 a" c3 C& O' B' a5 ?2 n
. \7 ~4 ?$ g* W! i6 @' `]]: L$ H2 l" B7 W4 K7 ?
0 I0 [. a, H6 R' ]7 i+ Y# d
;;如果所得的信任度满足条件,则进行交易1 a# m q; b' x3 j1 G; ]# F
/ L7 p1 e# ]5 h' Y4 Z) j- J1 v
[4 K% h" O6 {- v3 Z# ?7 D6 S; n
# L7 h8 a) ~+ y; O0 B7 R
rt random 360
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fd 1$ ?% w$ g" w5 l w
3 f- q d0 i' L]
; }$ h4 N9 F b6 a7 O% B- _4 {2 X# n j, v3 k) K! \( x
end
! A: F- J6 {9 Q. P
# ]0 @% ?; P7 G; |to do-trust
2 t$ {7 \/ Y$ k5 h$ n% R# nset trust-ok False& n( S6 y1 w' v1 K9 X
8 O5 d; q, ~' i) O
/ ]4 k6 b' [. c; ]
let max-trade-times 0
9 w' w% c0 P% L8 r3 Yforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: f" z# C9 |, e2 Z# mlet max-trade-money 0 P i( G1 f! w( N! R2 q2 r
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]8 H, I7 f* q9 u
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))7 ^2 S" y- w; c/ e; j/ s4 J: g! k
$ F3 `9 f: Z6 K' w; e
& j( n; {6 A! Vget-global-proportion
9 Y, [! n- e7 ^/ F2 Y! ]8 c& N, rlet trust-value4 H4 x3 N7 L6 ~
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)& j" w$ v+ h( c9 J1 e2 v
if(trust-value > trade-trust-value)2 n" Q% V* r9 R i
[set trust-ok true]6 i$ V; ]0 D" k2 m8 R8 Q
end
/ Z4 J4 \" C, ^* a/ `% S2 u/ }# Y6 b u: \- i& V5 l
to get-global-proportion
$ C( I) u! y9 V @% l+ |ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
7 c- t" C0 E$ J4 F' b. R[set global-proportion 0]! ^3 _; `' A$ X5 _4 H; t- Q0 ]
[let i 0% y# P7 I, N4 R
let sum-money 0
8 H5 i! t& f- U4 hwhile[ i < people]* D6 H8 w O6 c& F
[4 Z& g1 a3 A5 S0 K8 Z
if( length (item i0 s% i2 D( i# l7 E# w/ s0 L0 |% W( O* j- Y! N
[trade-record-all] of customer) > 3 )6 V9 O4 [3 {; a' [4 U5 a
[1 B1 N) {3 i' \5 I j+ L
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)): s* j+ G) W2 t0 y7 @7 h4 M u
]! w2 n8 z. N5 `" H
]
& C/ q, N& c \" y; ^let j 0* F# p" g3 P* }4 t* K! |
let note 00 x2 y( n5 k& ^/ K. x% l, e2 S
while[ j < people]$ r8 `) f' u K# E5 {' E* [2 W. e7 w
[
2 H& @4 l0 B5 P2 v7 zif( length (item i9 ^% K! M* w% g x5 I z5 N
[trade-record-all] of customer) > 3 )
+ s. N) t. J" [! `8 G[7 N. m+ ]( D. N1 |; q0 f
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)' H& q% `0 ~: ?0 Q) `' ~
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
+ J; j/ }! \5 g0 w[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
+ c9 R8 D" r% r# f. C7 {1 |3 ^]* ^' n' A I9 n3 M( E
]" \* g4 D5 z: {. c
set global-proportion note
9 {: t7 c1 c( y9 e9 [# C]
3 J* P, O' q. i" P" J: h8 X- ~" send. n' c% ?: f3 W( L, j3 z4 K
, l8 N2 D: _/ c5 jto do-trade' m3 o, H6 T( k$ {
;;这个过程实际上是给双方作出评价的过程8 C+ J6 _* r/ y, a+ d4 B$ v. O3 f
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
' @+ L) e. H+ P) ^$ Y; Tset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
: H2 d: W6 i: O) t2 I$ ^set trade-record-current lput(timer) trade-record-current
$ J) p6 j; O. J* @" S;;评价时间
5 I- T6 f# m4 F0 y3 H2 N7 \ask myself [
% z, \0 z' T' D Tupdate-local-reputation
F5 o" D1 t9 vset trade-record-current lput([local-reputation] of myself) trade-record-current* Q; W) ]- ~3 S" H5 ]
]
7 r5 K) j1 g* j7 k7 `$ ?set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
% y8 ?% q, K( W; u;;将此次交易的记录加入到trade-record-one中
# e! J3 {% ^1 o _set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)4 L+ e# q% ~: G U: x
let note (item 2 trade-record-current )) r+ U# `# o7 u6 u. D8 l& G1 l. l
set trade-record-current
+ e7 A( I. o% r: N% `6 g* h+ x(replace-item 2 trade-record-current (item 3 trade-record-current))
+ O! [+ y. e2 C, M3 p- ?% [set trade-record-current" X1 w9 K/ E/ m2 n l
(replace-item 3 trade-record-current note)
. `7 f+ w3 ] j2 _& j9 d. v; ]$ k" I$ c
9 ]! j3 z! s. {% V; Cask customer [2 _/ H& R4 U# T' r- N) |) @1 S
update-local-reputation
- L2 O. R: U9 Cset trade-record-current. A( |5 i0 H* U0 _; ]" b' {* B
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
7 C, C2 k* t3 C# R' j+ P]
$ [* Y! N' u- \6 D$ G2 }* N, {( X: f1 }! }
" U1 l' X- M1 ^( sset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer! T8 m1 t: E' z6 w( O3 ]6 }
% X! Z; d! U; `. s
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
4 }2 ^/ h9 _5 z2 I6 Y/ T;;将此次交易的记录加入到customer的trade-record-all中
" I b7 c8 | i! I) B4 u0 {end
8 [( Y3 y- l0 M7 W
+ }! \$ M9 t3 J2 y/ N$ kto update-local-reputation
- \* k% d$ h: F/ w( Y3 Oset [trade-record-one-len] of myself length [trade-record-one] of myself* K1 I8 z# }# [3 W
6 o$ V, y/ K. A) w" X" Z
7 |7 x! M! f; f1 o8 K;;if [trade-record-one-len] of myself > 3 ! w. n3 c1 Z$ O4 q! G) R
update-neighbor-total" ~ @5 P, {% m# W4 Q( a7 M6 f
;;更新邻居节点的数目,在此进行) V1 s5 l" s/ n" E1 Z& k
let i 34 Q4 d& p, x& Y: m- T
let sum-time 0
$ i- Y: o" x$ H4 {8 I; iwhile[i < [trade-record-one-len] of myself]) n+ s( P- c7 R& p) o
[# P( s* R: ^1 K
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )" \" A* B" R. \/ N0 u/ h2 Y0 B
set i0 Y: \' `+ ^4 H$ Q$ u6 H$ ~" v
( i + 1)
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let j 3
( U. S8 A) K; d* }& Dlet sum-money 00 u4 ]7 D3 w0 ?+ [7 C
while[j < [trade-record-one-len] of myself]
4 [: a3 N- O- @5 A[
# J' l# h3 ?* O6 G Tset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
! ?, n; Z. ?4 e+ f+ _& n5 R, p5 ?2 sset j
7 u0 }. q# Y% }! D/ M. j( j + 1): c- T# m4 W) o! }, \ d' B1 ?9 l, B0 I
]
8 o. b/ t1 Q, _3 [9 B: Klet k 3$ a5 S H5 r. C. J$ M
let power 08 W! {0 T. v8 K, K7 X* t
let local 0. ^ Z% v. `% z2 S
while [k <[trade-record-one-len] of myself]
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2 Z( X5 a1 _; E* [7 l$ 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)
: q" r# {& x* h" d+ pset k (k + 1), [' q2 `0 L) c6 C6 L$ v+ _5 F
]
& B R1 `! e4 ]1 T! K. z7 T+ Fset [local-reputation] of myself (local)6 X$ y: R; z6 ~! @& z/ v- s
end
2 J: x$ n- M) ?* ^, P! Q' W6 y- O+ K5 F: v; s- p9 F
to update-neighbor-total: P% P5 v, W7 }! x) {
6 O& X3 w7 U$ f6 s# f1 C5 Nif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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end
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to update-credibility-ijl
/ C. Z% q* B* Q
) g! A! t/ K5 F' ~ q( U9 k4 y;;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。
1 \6 Q! C6 ?/ e2 \ mlet l 0# c V- y/ `& o* V" P
while[ l < people ]4 l/ Q. }) S! S6 E* l! 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
9 ^/ x. O5 c5 y: S8 z3 W[: V" m ^8 @ I6 |: X! B! x
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
$ y8 w; e/ R. \) T7 o; t4 aif (trade-record-one-j-l-len > 3)2 {' _- m5 v( O5 q Q
[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; r! H; u) X4 r" W, Y- o
let i 3
& A7 b- G0 z+ M7 ]1 x* [let sum-time 0
. B; \- D! a* w% X% m: g1 z( Z' Gwhile[i < trade-record-one-len]
: Z6 I3 ]( q9 t" N1 P) R5 B[7 H5 e! _9 m3 y, \% j) ^
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
' z1 ^$ G' L" Qset i
6 p% p: O. v8 _! S: c! D1 I* n2 Y( i + 1). c7 Q5 E/ |; V8 l6 u$ Q
]
$ U) a4 N0 [- }2 t0 n" plet credibility-i-j-l 0
5 B% b# u8 g7 A;;i评价(j对jl的评价)
6 g) ]+ X5 z6 ilet j 3
! H1 g" d* I+ M# B- s3 ]% k' T- olet k 4# w- L. B8 T" v5 Y: S( h
while[j < trade-record-one-len]; b1 D. H! B& h' f" U6 y, H
[
4 W* U. s5 u# x8 X- Pwhile [((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
6 h+ N9 [& e0 t; g/ ^ iset 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 {6 M' R# Y" q% G4 c- eset j
& K# ?" H6 N, a" |( j + 1)4 T% h9 S5 B6 w) M9 G9 x
]
$ |2 d, z, a( x8 z* c4 P) Q2 Sset [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 ))
7 m8 f2 s2 C0 s" b- ^
' E( e) } C& @& [" i1 v
( n3 I: ^" J9 llet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))# \' W- i2 K* p
;;及时更新i对l的评价质量的评价
5 d# ~, w+ ~5 m# _. sset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
, `- A8 N2 `& zset l (l + 1)4 n( U, T2 {+ p$ o' ]8 j; y
]
4 c2 l5 S T, T$ M4 Xend. L, t. i" q6 r* f+ ?( S9 ? n
+ P8 y" V+ m2 ^" @% w1 h; `: x
to update-credibility-list
: a8 i3 E$ j! C* ~9 E+ q0 X3 Jlet i 0) N+ |( i$ w6 H& L) P/ _7 ]4 d E
while[i < people]
8 m2 {# _, e z U[$ x& H: {; c+ ?7 H
let j 0
% u+ X3 j4 R% p( a m) e7 jlet note 0- i% r5 i( y$ E. }* ~1 M
let k 0( L* V. {8 J/ v0 ^) v
;;计作出过评价的邻居节点的数目
4 k# D) i& A8 \) Y4 ]; Vwhile[j < people]3 Q( f6 |" v! v! u ?( Q4 }$ Q
[/ k) y2 \9 H/ u; S' N3 _
if (item j( [credibility] of turtle (i + 1)) != -1)* v& m0 \/ T# L) ~
;;判断是否给本turtle的评价质量做出过评价的节点 E; o4 s1 ] b. P
[set note (note + item j ([credibility]of turtle (i + 1)))
w( G8 z O) U& U6 m;;*(exp (-(people - 2)))/(people - 2))]
4 s: g' _4 ]' V; D* W; zset k (k + 1)
8 F3 M" s; y- P]7 I9 k+ c5 H) |' N0 I6 q
set j (j + 1)
3 X: P+ [8 L! F5 U, r( l]" J5 i! T3 G! j7 S
set note (note *(exp (- (1 / k)))/ k)7 O+ K0 n E* W( L) a3 D
set credibility-list (replace-item i credibility-list note)$ }! v. Z4 J1 Q" F. x, e
set i (i + 1)
) j- y: L9 a' S]
; i' i0 ]1 }3 @' oend- ?5 [* h& X3 Y1 c7 l
" S) z" P) o! t: H, d
to update-global-reputation-list* ~. U( L( e$ a( k0 j
let j 04 S% B. r' @! g5 f! f
while[j < people]
4 s4 r" L. B. {7 t[
, S0 m; B9 r: Slet new 0
4 r& x9 l" D+ b# F;;暂存新的一个全局声誉
% z( _' g5 Z9 D. L9 O3 T$ D; Plet i 0
) T/ P, R( b4 N0 hlet sum-money 0
% x- y. B4 @4 Q5 slet credibility-money 01 w1 ~/ c& g) C
while [i < people]
7 K. I9 Z. e' W# v7 r: E+ L* o[$ C; ?& k9 t' W: ]
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))0 H- r5 R( G2 |8 _! l
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
/ T0 K% R6 I2 Gset i (i + 1)
1 @+ k" M* f k]
9 ? [7 N: l# w) e$ M2 k( Ilet k 0. P1 U# }( {; b2 A+ u" M* D4 D8 L
let new1 08 Q6 u) y6 i% ~4 B
while [k < people]
5 D; i, O' l3 f' \; \[
% U Q. p0 }0 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)4 z3 o: u/ o/ _, B$ ~
set k (k + 1)% C+ H/ L3 f' u; @) d( o
]% x! J: l+ r; }$ k5 v. O) ]
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 1 K1 R8 ~9 n, ]/ p! `7 K/ H
set global-reputation-list (replace-item j global-reputation-list new)
) `0 [0 o9 b8 O: aset j (j + 1)
9 z: @! Q! z- v$ w]
( ]& B# R& c( n, X3 P, U4 K' w) Z# gend
7 Y" r' `2 w; ]( L9 c k+ E# Y0 J7 h+ N
) X: `1 I G2 s" \. s
7 J' y) k& V- B0 i8 {to get-color
* a/ s3 e! o( o3 `. b: G8 v9 l2 i% w) @* V, N, S" A- }
set color blue
. u9 B% a; i0 H, g9 b& ]end
/ b1 _+ Y% n, Z" J* u$ |. S* h- u+ @( n. q7 l
to poll-class: O w- B7 E& Y+ B
end5 M, Y" S) W" S( p( r' y9 b
: w; H, c, ?% y. ?# I3 U
to setup-plot1
( c$ O$ f2 L @$ y# T2 l, b- R
$ p# F/ r! s! w, m9 iset-current-plot "Trends-of-Local-reputation"
$ @' f$ K M. R4 T8 @4 i
9 u& b8 o: J! h- @) G; ]set-plot-x-range 0 xmax: ~7 @8 s! B# d
$ G. p! t4 Q1 ]. Dset-plot-y-range 0.0 ymax% F1 F; I5 E! l0 \! U/ }
end6 Z8 q4 R, F1 r9 a' o0 W6 X; m" i
, q i1 ]8 w% m& R0 m& G; k! n
to setup-plot23 B( M" B+ E& W& [
8 Q5 i2 Z$ B* ^' ^1 m& u
set-current-plot "Trends-of-global-reputation"
7 j g" U. K+ _ R p1 F: r G, O! B( s, U; h. P: o9 ?8 u
set-plot-x-range 0 xmax# i; C: F# i8 v u1 `
! G# H; J6 x+ i; }# Hset-plot-y-range 0.0 ymax: N2 t9 c1 g9 F; w6 x8 X
end
% A# Q" u1 A+ C
# N! H( \5 K- C4 A# N/ ^to setup-plot3 [; }0 w, h, V! s5 v
( n) ?5 n$ o- r' j5 L& h/ y. H/ ^
set-current-plot "Trends-of-credibility"; x$ u& E, a6 i
+ t. e; z c. \) ?; }4 F
set-plot-x-range 0 xmax3 R+ F; U* v A. g. x h
( f2 M4 G( U) i; w4 A* x
set-plot-y-range 0.0 ymax
3 W1 z9 K( _; u. Z* R% Xend) R) j# K/ a( h0 v7 b
+ D" \+ L* ]. Q9 Kto do-plots
% g r4 U. B2 v: @5 h( \set-current-plot "Trends-of-Local-reputation"5 y4 a: D9 b; ]1 H& i
set-current-plot-pen "Honest service"+ t5 t& i2 H" @8 Q$ w) Y
end) }6 K+ M. M5 h7 u0 L( ]2 v
1 X; c" t+ B: T1 ]/ q
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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