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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% o9 h, {3 d9 C- _
globals[4 b3 [3 \/ q; }& W. Z$ y0 f0 c* C
xmax
+ c4 f0 R+ ?3 |, j4 X$ _6 Qymax
4 f8 n, b$ o L* O% W8 x8 Yglobal-reputation-list: C0 \, J9 w: ?: w8 x# ?
4 _$ r/ F G' O" I3 z) P# r6 Q;;每一个turtle的全局声誉都存在此LIST中
, E0 V, W' J) y* B% N8 ycredibility-list
# s3 J: E( [- O/ B" Q$ D6 V i& \;;每一个turtle的评价可信度( @7 ?' B3 v; H. W7 j/ i V
honest-service8 @# P9 `0 L9 j+ q+ Y9 P
unhonest-service3 j5 N1 i2 c! e0 r* h7 I0 v9 ]- g
oscillation
* M9 e% ~9 L8 x0 V, I, m6 l' hrand-dynamic
+ q+ W; C- [) f/ _; s2 a- Z* }9 n( t]
8 \" e3 n: S3 r7 R; V1 g! B- c8 X& [ H5 M* S# K
turtles-own[
" w( f4 P8 v0 C$ P* i: W* }& xtrade-record-all
- Z1 j, s* b3 x4 T;;a list of lists,由trade-record-one组成$ R3 ?0 Z9 o; ?/ e S4 y
trade-record-one! F% [4 ?* n5 o
;;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 y- ]8 p- @0 l4 T) E# T1 m
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;;[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]]
! V' |. I$ _# J& n+ a8 t: Ntrade-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]
; S. M/ h) T. \, Ecredibility-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list3 w% q/ F9 |' I7 S s I/ |
neighbor-total; Q p. f/ m% T
;;记录该turtle的邻居节点的数目4 C: S5 u2 K4 w7 v( \, e% E
trade-time, B# [! R. K5 s6 z5 G* c2 F! M
;;当前发生交易的turtle的交易时间, l. ]$ F$ v9 }1 X
appraise-give
0 s7 u3 W" M# _2 r;;当前发生交易时给出的评价9 K& z+ k; y& y/ G! U/ L) U2 \
appraise-receive
' z. P8 y M: V: O5 [;;当前发生交易时收到的评价
6 o- a T/ D# vappraise-time
' ]: B6 z; ^3 a0 E7 q0 b8 k;;当前发生交易时的评价时间5 L/ r# S c! q
local-reputation-now;;此次交易后相对于对方turtle的局部声誉+ _8 k. a! K* c. A- _1 S1 Y
trade-times-total
{; j, b* c2 B4 z$ x6 O+ e3 J;;与当前turtle的交易总次数& k3 J7 \/ B" ]. x0 f* P5 n
trade-money-total; K9 X0 M. p! U- q
;;与当前turtle的交易总金额
+ A' `, D& o7 C- l4 ~$ v2 g4 O. r$ v- ^local-reputation
2 M( s: k. `& j4 g3 ?global-reputation( B* v) l) ~9 F# |9 T- |; Q
credibility2 }& @' P$ G, `
;;评价可信度,每次交易后都需要更新
& i) A2 T5 }& v! H. O. F! o \credibility-all
* X2 o3 b- O( x0 D;;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
+ s* y$ {/ V, E, F4 D8 |
3 {9 F6 N! m9 |2 p;;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
' @& E" L' Y C% mcredibility-one0 S, ^$ G. u% q- l& d
;;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7 @8 b* G2 v% f- I/ q" d3 S+ N/ s9 E
global-proportion
+ W$ d( J: x3 |4 i' |4 _customer
( `! _: \8 T! s! I9 D2 b" gcustomer-no
0 ], v* S+ Y1 p3 g1 U* ltrust-ok
$ K: T. h9 `4 L6 P+ ]: ]( [! j% _7 Xtrade-record-one-len;;trade-record-one的长度
7 g& v! E% C8 u/ }+ S]' o$ H2 j! z K" Y3 H$ ~/ i
! V# E$ v0 }) @5 ?# z3 R7 R;;setup procedure; Q% d: n3 N: d0 ^
+ d$ _0 d0 r/ P; x# h- U
to setup0 ]; x$ n0 g _ W! ~
" Z9 ? @5 U0 K- B7 w# q
ca
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initialize-settings
1 d `! T2 ~$ g; V' F) {
& i6 s0 g @6 ^& S) z3 S2 _crt people [setup-turtles]
; ^2 O- n7 u& A2 S
5 o: S9 x0 a1 O3 l& treset-timer* |% c# n; ?/ s- E
1 Q& T; m- J3 Z: s: t! g
poll-class
. n' N' D) |. h' ^7 F, Q1 |' l$ H
% V9 o6 B/ g0 K, qsetup-plots
; n5 l/ p3 B2 R1 V, j A: z0 Z8 A
do-plots7 l+ F* j( k1 O8 s* s
end; \# j$ w1 j7 f, _* G# `' |9 r3 X
0 B+ J, [3 D% B6 Mto initialize-settings
; ~* ?5 F3 @6 E3 B- X1 F- ^4 ]# |6 y0 J+ L- u! ]" y+ |; e2 N
set global-reputation-list []
/ Z% d% ]' f. ]" |' m# b. I& t7 |$ _% Y
set credibility-list n-values people [0.5]
0 r0 a4 X% v7 H7 R+ Z; J4 ^5 \/ e$ A. W
set honest-service 02 D9 C' v( E' `* |
' v/ a( R9 S) b) Z7 M" s3 Sset unhonest-service 0
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set oscillation 0
9 [1 X( ~/ ?. `5 }; p. s# {3 ^
9 j/ w, |: I5 w' v. I! y+ W5 ?set rand-dynamic 0
. [; N! ?$ R. b7 W; dend, U" I' v1 y. X3 I. Y3 u3 y. \
4 u% W6 Q$ A9 b; h( T2 N6 [) ?
to setup-turtles ( P% M9 t- T; r
set shape "person" F+ f; m3 }1 B W' g* y
setxy random-xcor random-ycor0 p0 Y* ?* q5 n% U
set trade-record-one []
, i, k, L+ b0 t& c6 F2 G7 v/ ]9 L9 g
R2 b, U& ~# i Aset trade-record-all n-values people [(list (? + 1) 0 0)] / N$ U R+ I: N$ n( Z
4 q4 z1 [5 D* z/ U( }) xset trade-record-current []1 p2 v/ R. D9 ]2 Z# F$ a8 b& @
set credibility-receive []/ x" K/ L9 e' g3 e
set local-reputation 0.5
$ U0 |# V' ?' G: ^$ L5 vset neighbor-total 0
) ^- W8 `' `$ l' x" u7 ~. x; bset trade-times-total 0' H9 J- A% w. `( F' f
set trade-money-total 02 p" S/ {" d% v4 Z0 L
set customer nobody
8 W, x! i6 R' k6 kset credibility-all n-values people [creat-credibility]
5 L5 K; l% s7 m; iset credibility n-values people [-1]
% `* H/ H! _' c3 [1 ?% X& t+ mget-color
: }3 }9 `* V. n9 Y
& Q s% l3 O7 n: ~$ ~end+ {- `# n9 Y3 K" T* {! S Y
; L# z6 ^3 a/ N9 s5 e' ?to-report creat-credibility
2 S, f! A: X) I8 O+ I2 zreport n-values people [0.5]! r9 A% K' q, k! e( f9 j6 \$ @6 \( ?0 p _
end
* n- B' W T2 H2 E
: p6 C4 }, x# A c& Sto setup-plots- b# O# b9 l9 n) E1 _, ?
5 q* [2 f1 V$ Fset xmax 30) s6 ^: g A. q, C- `
9 x5 D: |5 c+ p( f( @7 sset ymax 1.0! G- \# b; O0 ~
. J! d0 t- {& kclear-all-plots* L0 V3 U; J. O. V1 T. l& |
( R y$ Y1 d, e$ Z5 _
setup-plot1' @* @+ L- @8 w0 `' k9 C
?! d0 T, C8 N9 a0 t9 e6 K% lsetup-plot22 \& | N# ?7 _! {5 z
& k- R6 |3 ^5 ?) [3 L0 p# Lsetup-plot3
5 I% H' F* Z" l% j5 g; Rend) B; H6 x- v" \+ j
" d( ]) C- s( G$ k1 j
;;run time procedures- C% M5 ]( O; e9 [2 A5 T
7 B3 o# V Z v8 I. M0 Y$ V- t! xto go
! k7 v( M8 i/ Y& z1 T$ b1 `" T8 n) O1 s+ \8 s! C6 K. O) r) k0 L& K8 W
ask turtles [do-business]
1 O+ [7 ~) y* a. P7 q6 M" \end Q& x4 T ^4 l9 o8 p- j* Y6 r
2 \( E1 Y0 o3 ^to do-business 9 r$ d0 I L! H2 L, r6 T, {
' T8 S6 t" t7 j- `+ C7 N
9 F1 p% I* ^$ `/ M& |- wrt random 360
2 { P' ~. y! c+ V% \% g
+ T* r) i2 R# x( q" R7 R2 Xfd 13 [0 U& f( R0 Y" y4 x% ~5 k
2 _3 {( ]% t3 w) z8 v! J
ifelse(other turtles-here != nobody)[
r5 R" R8 [* i# W0 |% c0 Z4 ^" \3 B! l# A) K
set customer one-of other turtles-here
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* G' f B& |1 T. x- b- V;; set [customer] of customer myself) S8 X+ G! V8 j
8 @/ |( j, H3 |set [trade-record-one] of self item (([who] of customer) - 1)4 `+ Z+ d3 o, u6 I
[trade-record-all]of self
, m) f) o; k; P; }2 A;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
8 w1 r1 R' A( Z9 n- Q, W8 j' F! G; L9 I0 U' `/ f6 {& l" L4 R2 i
set [trade-record-one] of customer item (([who] of self) - 1)
4 Z2 P4 X; K& T% H& g; c8 W[trade-record-all]of customer
1 I9 c: J6 b9 Q. D/ g. }
( @9 H& i) R9 ~* u9 T4 r# l3 S5 Pset [trade-record-one-len] of self length [trade-record-one] of self; T' K. t- c8 u! e* o8 y, e
( S7 @3 q" C( q5 y, A2 ~ Gset trade-record-current( list (timer) (random money-upper-limit))" P8 g0 t% `! ]5 d' y0 \$ ?
5 ?6 j- E; J& i& C3 B- P1 |& z9 ]ask self [do-trust]( J7 k& H7 P$ B" N, B: P7 q- j
;;先求i对j的信任度2 O" m& a* ]. _* l# C
( t& Q) C( b/ s. A9 Yif ([trust-ok] of self)
" I: z; O7 j1 J/ z- H9 [;;根据i对j的信任度来决定是否与j进行交易[
' Z. [/ Z6 Q Q4 Zask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
7 a5 t+ I" d! t9 G) w1 R6 n
& c8 u: _/ R2 J9 G" V# |[
& A& G0 d9 F% d- m _$ s' \; v+ r4 Y% E. z; h4 ~2 T
do-trade
! A5 a0 o& N; ~. D/ Z, R+ J( \8 l4 \, G& `4 D: H2 Z! ^3 x
update-credibility-ijl% I5 x( M$ W; \% h$ |
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update-credibility-list
# @0 u+ G0 `+ }; {: f2 R
# A% G2 X" \) C8 i! Q; }. T& I
: N* I. e; q5 L! V5 P! jupdate-global-reputation-list: p" K9 t- c0 O# J6 e7 h# p/ |
! G2 u; q+ h& R3 s+ Z5 m3 G- Bpoll-class" f3 O& G3 ~: Y+ T2 Z) F
# a- k" W) l5 n7 Z1 ~0 Lget-color
& i) I3 p4 m, \
/ l9 j! t, [7 O) p! z# |. T; `]]8 N b f3 I4 }1 m5 A% Z8 b
* x. P( q# d* C( y% A;;如果所得的信任度满足条件,则进行交易$ S8 |6 B) D/ @
6 c" r! e' D- V[
& J' p, M" \" c# T/ R8 \1 } d8 j8 ?) U; c6 N
rt random 360
" Q+ p0 F/ O% D2 D! V& t9 I3 j0 H2 I' K5 s' {* k
fd 1
$ c4 [* x: u8 E4 \: L& R+ E
$ W1 c D: W, f: n3 k, M]
! [: `, T: ^3 z' f1 O# y- [! J% X* P# \) v; F; \4 F ~- d
end
4 k- y$ ]$ D: a& d$ I- M* t. b7 [( Q- b! j5 Z: w
to do-trust , D$ X7 O1 i+ `3 g$ J
set trust-ok False! F2 v( Z+ s$ {
/ X6 [! r' J# C. }- [
# B! T& E/ p4 R3 x. ~let max-trade-times 0
# V! w' s, q3 ]2 c- u' L: tforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
t/ Q) F+ f$ j$ |let max-trade-money 0
* p. p& C6 ]- ~& s( \foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
* }6 v1 N6 ^1 Y% R; C$ @& Olet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)): \8 t0 S4 g8 j/ R1 r9 V, M5 l! _
9 }3 H2 c0 T: M" S6 g7 \* @# H8 [$ ?% a- w
get-global-proportion1 a+ ~6 n. p7 \: U2 g1 c
let trust-value
& z v. J9 z% v5 j: A8 V3 Flocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)+ h. P& B: ]! w" f# a7 U
if(trust-value > trade-trust-value)
2 {0 _( u, j$ n[set trust-ok true]$ R0 l3 B( \# ]& P0 K) ^
end
6 \) ]; v0 i5 Z" J6 J% K1 T
% Z: i @# L o! _* Pto get-global-proportion
0 h4 D4 R/ f. P* y, a1 W7 I B$ Uifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
! ? @" C5 p8 Z; u# h z8 x[set global-proportion 0]
' W3 ?& I9 t5 D' ^! Z1 S[let i 0. y- U) R6 k5 P% z! `% y
let sum-money 0
5 T0 }& W; t( }8 H# o& I1 S. n7 [% kwhile[ i < people]
& h1 |9 t+ N" ~( Q7 R* M5 g5 I[
+ I. ~1 I* s2 \# a. Pif( length (item i9 q `+ \% D9 f
[trade-record-all] of customer) > 3 )9 ]/ P7 m! t8 V5 ~0 d" c
[7 [8 h- f2 i5 H
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)); d2 Q0 D9 g) \+ e# R" H3 `
]
% E3 Z2 m) O2 B6 Q: V]
1 H k: V7 m& N6 i" o4 Q3 Klet j 0% |. {# A) e! E/ S! Z! V4 ^3 X
let note 0# y, s$ d2 d: [1 r; t3 ]+ C* j4 ~
while[ j < people]; u% S3 n% z: u' O3 N- D+ o
[
: q* E" _) z5 H7 q; `* \( U. xif( length (item i
8 ^; J! b% I' o2 z[trade-record-all] of customer) > 3 )* l$ {8 W" P, h8 C" b
[1 \$ L7 Q b4 w" ^+ i9 C$ t0 B
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
! m2 y8 W* u- _+ g$ p& x9 s s8 v[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)] T+ u8 W2 L" |! i* A8 T, M
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
: a/ F, L' I2 m5 t# t+ e$ t]
& l4 T7 I, D' s, b9 V8 E]( }+ H5 q# o. B$ i9 b; O& x
set global-proportion note# h6 ^' V6 r6 q3 E# e
]
6 y& o E+ G% N6 S5 rend; B7 u1 W8 [8 Y7 w: @4 h
% Q u2 w# k3 b r- Y/ I; y/ Wto do-trade
& z* W0 _( x5 V3 h;;这个过程实际上是给双方作出评价的过程
# ~1 ^; m8 F6 W! P% zset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价8 \+ z$ _- I, ?, P; R1 M) b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
! R: ^: u2 L# s7 ]- Oset trade-record-current lput(timer) trade-record-current+ E9 n7 i. ~" o! ~& y+ K. w2 N
;;评价时间: y6 z v: h2 C- V, K2 O+ v
ask myself [
7 f) r+ \4 w0 B: l# ?update-local-reputation
2 l+ S5 T( [7 R! j$ M a: _3 Bset trade-record-current lput([local-reputation] of myself) trade-record-current t* c& j: @& ~( y5 @
]2 g: W' ^8 _0 M/ r5 y
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself% b7 o3 V- z* V% @2 V
;;将此次交易的记录加入到trade-record-one中
: `1 z6 C4 G! y& l, n( i$ h$ cset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
6 R7 u5 o. i, u2 z* T7 @5 `+ Plet note (item 2 trade-record-current )
. x' D$ H2 N0 \9 S' Iset trade-record-current/ a" L* d8 Q% w. h- U9 x; |* l
(replace-item 2 trade-record-current (item 3 trade-record-current))0 q) D b8 j' O5 D
set trade-record-current
7 }8 z$ R" o9 P9 q1 t) j/ l) h0 t! d(replace-item 3 trade-record-current note)+ t' b5 A6 V' I. V' N
8 ]# p0 ^1 f% T' p. D6 ]$ k
' m1 m+ ?2 E. t) Q
ask customer [; H- U- Y" e; E9 j# O' Y6 W4 d, k
update-local-reputation& [6 s8 x( M0 |
set trade-record-current( m4 j# ~: G0 G' B" U' |. Z! \4 M
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
6 Q3 j: y! z3 V! {( Q6 ^! D]
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3 V4 A3 O; k7 J
! ^- E/ C! D1 T ~set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer. Q5 {4 A8 V6 v% T( a
^- Q; _4 O* s% W5 I1 y. {
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
+ E% ?, Q- q R! H( j: J;;将此次交易的记录加入到customer的trade-record-all中
! }" l& ]6 H: D8 G. d# zend6 z2 g* x2 k( c2 }# T0 Y; s8 W; i
Q3 K) M& F# R9 Z
to update-local-reputation
4 s8 B4 S5 b4 \- q) I; H# ?set [trade-record-one-len] of myself length [trade-record-one] of myself; \: r" b+ F$ x6 i
7 {- @+ o, V5 X1 _& q
6 E( e; L. W- r$ S3 M;;if [trade-record-one-len] of myself > 3 1 x+ I7 q# f q; L6 n K
update-neighbor-total' I1 ?$ W& U6 C, r
;;更新邻居节点的数目,在此进行: T1 f: C1 Y0 Q: w* C) I6 C
let i 3
$ z" c& P8 R+ C" W0 xlet sum-time 0
: a; L$ O6 ~% f" e6 @3 R) fwhile[i < [trade-record-one-len] of myself]
. K9 Y2 W; n B+ C$ Z, d[0 F4 X g1 c3 F7 E( d; ?
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
$ w2 [' [) d4 j) }1 s C" Fset i
$ e8 F" a' T3 ?. ~' M3 s8 q( i + 1); v3 n7 ]+ M' ^9 ^
]
/ D" L5 m. A$ x! N( I* d, [/ {let j 3
M$ N7 r& E/ q: f3 Alet sum-money 0) U1 S6 F' c$ a
while[j < [trade-record-one-len] of myself]4 w8 ~% [' z. Z
[, ?+ E C* |7 Z" \4 v, W* c+ J
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)
+ X: A8 Q- ?7 t& G& Q, u7 F9 jset j
" M1 j3 w; l% S5 r( j + 1)
' X/ A" a4 @: l' m8 P! Q( z], B7 D; r2 _* \% f0 Q4 d. g
let k 3
4 u# k" }( Y6 {1 flet power 0
" Y: m! l+ M h+ Q! Zlet local 0; _) ]2 m# D. D2 Q2 v3 H
while [k <[trade-record-one-len] of myself]
: q7 g& p5 u( z p% ?[
3 e Q: z! H% aset 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)
& _* U# a& l6 r$ T& `set k (k + 1)
3 x0 Z2 S7 F( i6 M9 ?1 ~ g]- |) s3 o; {: [7 m
set [local-reputation] of myself (local)
7 |: O l* g8 F+ o6 Tend% n, j) f2 c% I+ d5 z# j/ @+ F
0 A( ^: q7 D; L6 s* j8 ito update-neighbor-total
; y0 p$ {$ x7 s9 c$ e2 S" ]- m$ N# J2 ^- m6 j, C B( c2 D
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
3 o& ?0 ] W& i
+ h" l. y) m6 O2 l. g: b$ O: D
4 {. O8 R2 N- G! _ E" P! bend
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u3 @) A6 G$ d, F( _) }( Jto update-credibility-ijl
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2 O7 ?2 P" q8 n0 B" n8 f# x; p;;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 w& S6 {( ]3 b
let l 0) v" V: A5 ^% \8 V* E/ m. R! e
while[ l < people ], D$ m# _/ @. U8 i- a
;;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" c2 l) R5 s+ }5 m" D( I! }
[ I2 b( A2 ]+ G
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)8 z, g% i: _6 N6 c4 i2 x) ~# s
if (trade-record-one-j-l-len > 3)* A: @! k, n( v9 D+ p
[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
2 C+ K! G0 k) B# C3 K( S+ jlet i 3
( M( {) D- k5 k6 _$ N; Alet sum-time 0
9 y# S% N; @( |8 gwhile[i < trade-record-one-len]
7 R7 ~$ y" `: i+ l6 [[
, g6 A( ?9 r+ d& c, [# M9 o0 u" J( qset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ). w1 t( O" j& X P& y
set i- _6 A( K- b$ C- c& a- @
( i + 1)
2 i1 ^+ f; n" r7 L; h]
0 {( ]- X1 |+ h1 e+ F% Wlet credibility-i-j-l 0: g0 [! h( v- R2 n1 K# }% Y J) I
;;i评价(j对jl的评价)
/ d2 @* o2 d l& Nlet j 3 M$ K0 r, q' f7 k B
let k 4
6 s) s/ }/ p# j$ Y. g* c' G zwhile[j < trade-record-one-len]
! z0 g: `3 b9 V# n# v) B[0 m8 Q5 o% o, \# C) e8 \9 E1 N4 g
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; d1 A7 y2 \* x, Y" X7 R
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)
9 s7 s. M' m! \* J0 zset j8 M4 v* r Q0 N3 Z, L; `
( j + 1)2 E' Q5 V. q2 [0 T& m: o3 U
]. D. {( Y5 c' O, ~# M0 d
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 ))- N1 Z* d5 e; e6 d# d( l( g
& p" c6 T; l- I. N" U& ^' I! [ _) Y. F, v
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
; O- }9 m" j. Q& |8 e- e1 b;;及时更新i对l的评价质量的评价
3 I& z5 _8 H6 s0 {set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
) h7 A u( l: j9 `set l (l + 1)
% T, `/ Q5 Q, I- B! R+ n' U]
: L* E# e2 T3 y y- B* L$ r' kend% ?1 K7 c# A/ L1 j6 K( x8 ^, o
, K2 [+ J) v; l( c) E. pto update-credibility-list
, E% Z9 M5 D* n, B" x4 q1 `- H/ `let i 0
& @5 f! |, Z1 Z" l8 Ywhile[i < people]
0 q u3 e/ E- F6 s! [[6 ~1 H" M" ^3 [& `
let j 0' m2 u: \/ `# \
let note 0
) P! g$ S9 x+ `( olet k 0% k; Y+ j$ H2 N1 P- \+ C, W7 T+ t% L% g
;;计作出过评价的邻居节点的数目
7 O# ]$ S8 g2 }% qwhile[j < people]0 o) a( p- A4 T) k0 b1 _. X
[3 h0 ] `" T8 }( C/ @# M( A4 G
if (item j( [credibility] of turtle (i + 1)) != -1)
4 Z8 W: n- Y# X;;判断是否给本turtle的评价质量做出过评价的节点: j# z4 s+ n" t$ Q& F; z3 \" n: E
[set note (note + item j ([credibility]of turtle (i + 1)))( `9 n' W. I+ Q2 M! o
;;*(exp (-(people - 2)))/(people - 2))]: R, R) T; m+ K
set k (k + 1)
5 c) _2 i3 Z; a/ []
6 X6 [2 n4 R* r9 |8 H7 u3 Mset j (j + 1)
* h* e7 |) L) R( ]& l* b- x+ m]) m0 H0 w1 G! p X+ T; N9 J
set note (note *(exp (- (1 / k)))/ k)
; G8 f; b! g/ S8 v1 F \% Lset credibility-list (replace-item i credibility-list note)9 X4 J; y7 B5 T( X v
set i (i + 1)( B9 O9 P: a" i- R8 D
]* d, Z* I, M0 y* j: H2 f) o: n
end
. J9 u! P8 K' u) w. N+ b+ |! x9 B8 f4 [# x7 P5 }
to update-global-reputation-list& d# g' j. X, b0 u9 U# \
let j 0
# R A4 J0 @+ |: w' t# mwhile[j < people], {5 o* r, f% f) |+ H! r6 E J p$ N
[
& G. K9 F* ^1 P2 C' Slet new 02 Y3 q W. e5 S+ u, G
;;暂存新的一个全局声誉
& _5 V1 O$ }: ?, x7 ^" clet i 0
; V! ]1 ` E5 S# r: |let sum-money 0
- e2 M' @! T9 _% e* W' r) Alet credibility-money 0/ S9 j+ H$ }: {* U s
while [i < people]
+ }+ o1 B- d: h/ }[
. {' n H/ I tset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
. ^1 D" `( c* D; e- y- n3 A. t3 r; oset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))1 m# x# Y. [. o D4 |
set i (i + 1)
3 p1 J. K% s) a+ W]
6 `& a8 {: D( E+ \7 o$ Flet k 0
& e7 i$ H! H! y: F8 Rlet new1 0
! w5 ?* G' V$ d& qwhile [k < people]
# u- M# J4 g$ {' p1 _6 Y; E[' H1 l& h; F! `4 F' E
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)
' E- v; o" m- l; N0 Xset k (k + 1)
( s7 O! d# [5 _9 V& k+ I]
5 V& v% d4 f$ A1 D# C, k* e8 v/ Iset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 8 ?3 m7 ?: f. G* o
set global-reputation-list (replace-item j global-reputation-list new)+ Y" P3 \9 s" f( Q4 s
set j (j + 1): G% }* _( o3 I" Z' H
]1 T3 w6 W- k; k f
end
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0 O( O7 q; G3 Y7 F
9 U6 N8 n0 K! Y- O* y. Nto get-color
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set color blue9 p: G% Q% j2 x! ?" E
end
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4 I+ ]* D5 p5 y7 q. { s# y8 d& Hto poll-class
1 [+ k. j0 h& @4 r/ `. ]end. O# z( z* [) s& v2 A9 f6 C/ N% J
6 q. z+ f4 g& o# [' i4 Nto setup-plot1) G% I5 D( g% z4 g( J
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set-current-plot "Trends-of-Local-reputation"" W' T3 x. w# S$ z7 L5 x
Z1 d6 s0 m% S9 G
set-plot-x-range 0 xmax% K% n4 Y& B3 a7 M- r3 M; v
& \' }( \0 V7 y" t% O ~
set-plot-y-range 0.0 ymax8 u$ ~& B& y7 M" v( c
end% ~8 n, M6 i. V) P5 }$ @
8 v- P, L% S3 }, ~( a, s
to setup-plot2& x E0 z/ w7 O% M
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set-current-plot "Trends-of-global-reputation"
( w- [( i" _2 H( C# d
! q0 W3 b: t8 d' ~set-plot-x-range 0 xmax
$ F V! r" Y7 d3 j' h2 i* V7 M& |- j9 O& C7 n; [, I$ o) T
set-plot-y-range 0.0 ymax
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/ f+ X% _2 q. ?' k! r7 Ato setup-plot36 o @8 X$ K: V8 N* b7 L7 R
F8 F1 L( ?1 U ?9 E2 [+ Pset-current-plot "Trends-of-credibility"' b) V" S( f2 E/ o
; l/ P) S2 O% V/ P+ Q L) C' k: p1 Pset-plot-x-range 0 xmax- v$ }, U* F; T: E* G, L( Z, \
, `5 N. C3 ]5 A! U) m8 ~% t
set-plot-y-range 0.0 ymax0 N7 D# R2 e( H, p9 i; q
end; v) }- e. N5 p$ [# T, p' Q
9 z4 V+ N; \' t* j
to do-plots' ?% h5 B$ c1 x% w+ ^' g9 Q
set-current-plot "Trends-of-Local-reputation"
0 ^. L4 a6 T2 Y6 dset-current-plot-pen "Honest service"
9 a+ e2 i# ?; v) T3 U; [/ jend: Q. i- t/ }% g+ c+ {1 w, Y
# L4 p: j/ p- n( c4 E* M[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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