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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0 H! G9 s) |0 y
globals[
. Z/ H( A6 v4 d( s0 }0 c7 pxmax) n8 |" d/ F6 J0 y4 x
ymax: C Y+ p: }, Z9 l9 G0 B! \
global-reputation-list
) i3 f& {' Q) s
( S- Z- B& a1 i/ F;;每一个turtle的全局声誉都存在此LIST中1 W* ]; E7 |: O, ?9 _
credibility-list
. T; @; e" |# V- U0 w;;每一个turtle的评价可信度9 l, f; ^5 y: x% e' y* @1 d
honest-service+ R1 c f: r6 @" u
unhonest-service! p Q* o# B; I# S. _/ N& ^2 I
oscillation
$ J; F' h* ?( F+ Q, A! \rand-dynamic, p0 J; c: k& ^6 l2 F8 Q- v
]8 T! r9 k! y$ C- w" M! V. o
: `2 m: V8 v! n, z8 [; Dturtles-own[
" C8 q9 q3 r! f/ t+ J4 M( vtrade-record-all0 `) J6 {# {. i* f0 x
;;a list of lists,由trade-record-one组成* q1 J+ _# z" {$ f
trade-record-one; K v3 k4 C; Z
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
" ?* ^+ E: S8 Z# W3 Z% P4 f- W# u3 f2 h! A, W5 q$ d0 G
;;[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]]$ K) \, ~# T9 @/ Y2 F; q8 y, p
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]
9 x: k' n+ U% 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
; \1 [4 U& i% l% l, ^4 L/ K8 Qneighbor-total5 T1 x: g Z) ?3 p3 T* w
;;记录该turtle的邻居节点的数目
& v) B2 A+ h/ b( H$ ttrade-time
0 `, \( ^2 f3 u; y7 ?7 u;;当前发生交易的turtle的交易时间
; F6 a0 V8 B4 F- Pappraise-give. m; B* {' n s" h8 W
;;当前发生交易时给出的评价/ B" N5 {( l4 Z' t% |+ C* T
appraise-receive
* v: v0 ~7 h2 I5 q4 |;;当前发生交易时收到的评价
7 o% D# ^9 n% l, dappraise-time/ s7 g9 r. a' y4 o$ e
;;当前发生交易时的评价时间
. y; H) {; j8 y* a" xlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
2 |0 H- I) ~/ I# Ctrade-times-total6 @# `5 ?9 C; ]& ~; D4 U
;;与当前turtle的交易总次数
; k, z; s# R& N& c+ w9 X1 r2 L0 u; T4 utrade-money-total
# Y' C% @9 Q% ?( H( W;;与当前turtle的交易总金额8 Q- l/ I2 W! _1 V! |# G2 D
local-reputation
" \5 {# v4 O9 x2 Yglobal-reputation
" h+ j' g0 I! bcredibility! }1 y: i8 L4 \: l2 t0 L
;;评价可信度,每次交易后都需要更新( Y( @! r7 e ]3 J* ~2 d7 F9 `
credibility-all
0 h) D: Q% e& j2 Z: u5 ^2 ^;;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
/ ^1 A0 S5 P6 q5 x
9 }5 A/ ]& D$ u. j$ X;;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
( m! b3 ?/ x% ~5 w' ccredibility-one
* ~$ T- @8 v: j* M4 u;;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
& ?, O3 Y$ @) h* P! Uglobal-proportion/ q+ d* `7 H1 `% g/ @. j& Q
customer3 {3 V6 e2 r4 M8 F
customer-no
, G1 h, b' P5 r) b" k% @; N. ^trust-ok" n5 Z+ T, f9 y* V1 n7 G) f
trade-record-one-len;;trade-record-one的长度1 R' h3 @" v5 |' o
]) u' O$ d& m' [# b
Q2 ]7 \$ L4 q: Q) _ B! \$ w;;setup procedure
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to setup8 i) E5 E4 Y& H/ o8 U+ T& c
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ca# g y% q' o/ I$ W* X) K6 q! r- U
9 {& q; f2 F* p
initialize-settings
1 D" \3 E j$ ?" B" l# M7 L; S& z8 h& q# ^ s9 p/ X; _' B! X# q# ^! T
crt people [setup-turtles]4 G0 p h7 v6 o5 P
% P/ r7 Q- `! Y/ Ireset-timer: d2 U. Z/ K/ B. J% t. Z
) m7 \/ { ~3 ~ Z2 Z" z; \& Upoll-class+ G1 M" Z) F# F7 L* }! ~: y7 k7 O5 v
" a9 z6 I! s: gsetup-plots
) x1 ]; y- |7 d; D- e* [* A. G# ?& K( T! i3 h
do-plots! ]( E: {9 N4 r# l! m, p
end
/ T( ?$ f, e0 F5 w( u
* N' M+ X0 ?7 ]2 sto initialize-settings
. L' U! S: p! \; q# s
8 \7 h. H7 c# o% u- e4 E! ^set global-reputation-list []
/ E3 A- m/ f6 ^, k1 w: Z- [9 W$ y# R: L- P7 S. f/ \. b9 e! a
set credibility-list n-values people [0.5] L- f( K$ s7 B7 |2 r
, e! ~3 t: ^; Q- m p+ e
set honest-service 0
9 N3 A: r @/ \, ]: Y" L7 ]1 @. L7 Y( k% V4 o
set unhonest-service 09 t8 w% I# \- l: A& H0 z; M
: A' Y1 V- l& o9 o, o$ t3 m( q7 T8 X
set oscillation 0
! [ e$ A0 D4 k$ F7 T( c- j( ~: I7 H7 W: l8 z' f, h5 s
set rand-dynamic 0
0 W6 q* \3 T; E! T. _! oend
1 F6 j0 [! B" M8 R4 h2 J
5 R/ y* g1 @- O# n! ^to setup-turtles 0 F7 F4 Q- u5 z: I, P/ ^* N
set shape "person"- H, m& S( P0 T) i
setxy random-xcor random-ycor
. T s3 t6 y3 m1 A% E: x3 nset trade-record-one []
( e" l2 R ?8 _- l- Z3 \. D' j& ?1 W! e( Q& X2 v9 w6 c9 Y
set trade-record-all n-values people [(list (? + 1) 0 0)] ( r8 S7 r. M$ h) X' }
$ g C4 N1 j2 s: A, `7 Yset trade-record-current []9 q) q( S/ m6 z4 h1 [+ M% ~/ A
set credibility-receive []! X6 i( K3 g g8 l' D
set local-reputation 0.5
+ V9 w3 R, P3 {6 @set neighbor-total 0
! b' j4 y6 y, ^, m" U+ n$ Xset trade-times-total 0 Q# X' [. b( S1 v6 D
set trade-money-total 0/ h Q" r$ m: F! {! }
set customer nobody
5 ]. g0 x; X2 s) s2 O$ dset credibility-all n-values people [creat-credibility]/ b9 E9 L0 j$ F* A; C( u/ @8 _# h2 E
set credibility n-values people [-1]
1 p. W: e/ g/ v k/ gget-color
* q' ]# c- U/ }! ]
: g6 x& f5 Z$ ~: ^* W1 [" pend' s) O8 T! Y% I5 {6 W
{/ n* H7 i6 a8 X( pto-report creat-credibility
# C$ v5 W) N# f$ creport n-values people [0.5]
- B) N4 {& u; `0 c! Lend6 V% z" g1 z9 d1 Z, ~. n: Z! k
* ^/ Q2 s) \. \6 W& z5 X4 E: @to setup-plots6 I# L7 k t# ]
! @* d% {& ]# s6 R" G
set xmax 30
3 L3 t6 W8 _* C" w
* R8 A7 m5 I$ G& [ Tset ymax 1.0 M3 ?+ G5 }) J7 K6 X
" y; c" `1 k' ?* t m# {$ y
clear-all-plots U0 y) @0 T( p( w+ X
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setup-plot1- F5 H8 ^. v$ c v3 R W* ?/ q4 l
5 x4 G& r2 @7 b0 j& ~
setup-plot2
T6 L, X2 i. u x* b+ h/ F+ Y7 T% _9 m" v7 E6 k
setup-plot3& O% Q `1 `2 m
end2 Z7 z. m$ a: e+ x: \( e5 M
9 w2 t8 P) c3 I( N5 N1 x/ w- `" ]
;;run time procedures
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# z. m0 D t7 u% S7 r, }2 X' D/ F0 nto go( F2 M" C0 O" t
' u$ o- N/ z* D' H/ q- a0 dask turtles [do-business]
9 u* b7 o) g- Z% \end- `% H+ |* n# ~( g3 R1 x `/ j
$ N/ J, e) o& b- ]$ ito do-business ( |% T) y. O6 d0 J8 B9 Y
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4 N5 H$ M' m: b7 A# frt random 360
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9 z" ~ n( b* ~- T7 Wfd 1
9 L$ G% L% C8 _; o8 _; y9 m
& s, N. E8 P& \* t4 o; [- D9 E( T( pifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
* Q8 D2 x8 g; z; v[trade-record-all]of self
. N+ l: |' p( p7 y: ];;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
6 T! P% F: Y4 C1 d* E8 R
7 ]$ y% Y# n$ N( t6 k/ p( dset [trade-record-one] of customer item (([who] of self) - 1)1 {# V ]7 Z/ N) d. q! R1 }
[trade-record-all]of customer9 F: r! x, c9 \/ r
$ _3 A0 O" Q. ?0 [! p( f
set [trade-record-one-len] of self length [trade-record-one] of self: T% Z& |/ u* ~
. ^. U) F$ m C6 P, _+ x: sset trade-record-current( list (timer) (random money-upper-limit))/ |0 z6 G# Z& Y( l- c0 @0 t
& A$ R$ e4 C& `# n4 }: r' N! @; e4 p& Nask self [do-trust]
; L# \5 I7 d% Q' J;;先求i对j的信任度
3 P! Y9 H6 a' C1 \( W$ e) N7 X% U, k; G. ]
if ([trust-ok] of self)
5 E/ Z3 H& ^# Z+ D! f$ y* @, \;;根据i对j的信任度来决定是否与j进行交易[
6 J2 F% a% t; H+ u2 I$ ^ Task customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself& y6 h6 l& d/ `6 h, Z. ?! S5 d
7 _# U6 u& z, W5 v) s( S" Z
[
+ l: ~- E- {! a4 _3 y1 Y
$ u- N7 x0 V- B0 g1 gdo-trade# P+ J. H( H4 I* h
+ b: B% U \+ u4 E6 T3 ^
update-credibility-ijl
% _/ h% ~! I- l1 G0 E5 A$ `. A& } T0 z; \
update-credibility-list1 m9 R7 f& k0 H, p: G4 q5 V
, o0 |( @6 `1 e8 Y5 G# K2 g; N( y# U, K: q0 E/ U' w8 \
update-global-reputation-list! g+ t; N. P7 U2 a6 T
: W/ f: a. o! c% {; Npoll-class* x. u/ E- y0 m; Z( }2 ]
4 X: C2 d8 D I4 {3 J) h/ gget-color
: o9 C/ t' |$ o
3 F4 P# ]5 Z/ N, d]]
/ \4 L$ Q% S/ w; X5 r# B
2 O) a# o" V3 f l: F8 a4 n! P: x;;如果所得的信任度满足条件,则进行交易8 v0 b- q& Q' l( ~, S
0 {! q) q3 E% X! k
[0 V r& L% ^* b$ T& R8 T9 j
. U+ w( v$ E4 k
rt random 3606 O4 n; A3 Z+ S( v
% }" R6 o/ B% Y, @fd 1 J: F2 @- O4 S- C* |+ A
* o' Q% K/ N5 X5 n8 |0 p]
( S2 `' e: _" \4 `$ t! h4 E
9 l/ F2 s! J# x7 N9 oend
5 C/ J( a/ k& C) K5 J7 O
/ d# a+ M6 N m' ^, O$ Gto do-trust - f) E, O0 t+ ^: T
set trust-ok False
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p4 W, ^% K2 @7 u+ T8 n, V" x2 }6 x$ |! n+ p i4 H) i2 Q
let max-trade-times 0
. v2 Z' c1 b( k5 X1 [0 Eforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]) h/ o! h L5 s/ N
let max-trade-money 05 J* I; w* k% d0 @; x2 ?
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
6 K8 p8 B' k0 u6 d4 e' qlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
- k1 y0 C, [0 ?2 t. ~. \
( A( b0 _! d. t4 V ^4 ?6 h9 [. x
7 {+ s2 [2 U# @2 B' w$ U* k8 f- mget-global-proportion
4 b2 e1 F4 [, S! |8 ]let trust-value6 I( U: e# X5 V; }. F* M: {7 s
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)
) S% E/ U4 S8 j0 kif(trust-value > trade-trust-value)8 ^& @* X' V0 `
[set trust-ok true]
& s5 Z% P* n% A& e6 z# D! l1 |end: B+ _+ h8 w% Y" ?6 Y3 A
1 S2 F1 o; _- N3 V5 b, f
to get-global-proportion: ?* m" `" z1 J: K
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)+ v1 Z; H8 P$ l/ O
[set global-proportion 0]0 z+ `' P1 a: l# X& a
[let i 0; l" M+ _6 B" W/ o- G/ w& g, f/ ?
let sum-money 0
& O! L" _% W7 U3 k; @while[ i < people]: B9 }' a' D' h
[
* D$ `% X" X$ ]0 k- l2 t1 Xif( length (item i
4 C8 ?% V2 h; v[trade-record-all] of customer) > 3 )5 b& I$ v( Q" Y
[2 Q5 j8 N2 t# k. N# z/ m2 R
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))/ C- H* h/ Q4 v' P' z
]; \3 Y! I E. W5 {+ L
]
. J; ?. b1 ^6 V6 ^7 a: ]let j 02 J: \3 _2 n: T& O. i
let note 0, v( r2 {6 Y% l" ^! \
while[ j < people], K1 ~( J3 I+ B8 C: `
[
1 Z" O1 p0 B+ Y" kif( length (item i' T0 L( F! ^ ?9 m! y
[trade-record-all] of customer) > 3 )
4 b) i. g/ J. W, x: o[$ i! T0 u/ I/ H. M8 H6 O/ K# n
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
' F9 ?7 R% U( B" l[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
' y' N! E6 a$ E( \) e S/ E. O" K[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)], x2 K0 }( K' C. Z
]7 A. }. H9 u9 Q
]
& O( S: q/ V2 A) N* z$ b- R4 vset global-proportion note6 X1 O# j$ D6 D1 d: i
]
; K0 [% p0 X7 j, `2 D# Mend- |) H9 K; ~ J f: [9 o& U
9 \8 [- V) W, S2 M! ?to do-trade
( T L9 y" d1 Y+ K% P1 R;;这个过程实际上是给双方作出评价的过程
O1 ^/ w/ n" _) {set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价' @6 m4 j, v2 y
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
$ v- i. p1 K+ G0 `& iset trade-record-current lput(timer) trade-record-current) H( |' D6 G& `/ z
;;评价时间* `0 b* P$ V3 z- V
ask myself [
0 V: }& b, t1 T* v: w4 bupdate-local-reputation
7 p0 }5 {3 J5 H6 Q7 M: { dset trade-record-current lput([local-reputation] of myself) trade-record-current
9 P* U9 W7 P- x5 A) w$ q9 C: n]
/ P6 L. S2 p1 M9 Z6 q% X- Xset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
5 E; l8 F- C, q8 x: p# q+ M& K! e;;将此次交易的记录加入到trade-record-one中% y9 q9 i5 H$ C# S
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
: F" ~6 B8 X& z9 M5 A* Llet note (item 2 trade-record-current )
, v" \0 y4 Z' [3 w& Z2 Zset trade-record-current" Z" u' G# b9 V' N f0 k# t
(replace-item 2 trade-record-current (item 3 trade-record-current))
" r1 S; I# N Z. L# tset trade-record-current
! Z, L8 d5 e+ {: R(replace-item 3 trade-record-current note)3 a* f" w! a) w+ e5 W
" U0 z( E3 V- Z
7 P' x7 Z C9 r0 d
ask customer [; t( _$ | Z0 b. _( X# S8 D
update-local-reputation
: M" ^8 C& Y3 x& J v" nset trade-record-current0 {. Q" z$ S' }
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 7 h4 z7 W, H8 }% y R3 U. T3 h$ H
]
' F+ Q) i& r$ m8 l. D3 z% W5 Q5 a* A9 V z
# N# l5 Y. \: n) Q& V) q
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
+ b( j3 `! x1 u" |% U7 K# C0 v4 x( ~2 ]% L6 o
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)): l. h h& S1 U5 J
;;将此次交易的记录加入到customer的trade-record-all中
8 {1 _3 O; D' @9 Oend
( A1 m. @0 {* B7 B+ |4 J
- f/ _/ k, j! E! z0 [, mto update-local-reputation& Y" g/ I+ B: K3 E
set [trade-record-one-len] of myself length [trade-record-one] of myself
" A0 I7 O L! H: M+ g, j( y9 W) J: m: c1 V- T8 j/ ?
# X$ ~1 a# L% w6 u6 ~( X. Z
;;if [trade-record-one-len] of myself > 3 * b' \0 F: y4 i; Y
update-neighbor-total3 `8 Y: K) u0 u, J% D5 |) t+ W
;;更新邻居节点的数目,在此进行% P, }1 C Q9 y2 [
let i 3
4 {6 ]4 c, q- l/ Flet sum-time 0/ `& B( q0 u4 A+ r( t0 O2 ]* _
while[i < [trade-record-one-len] of myself]
2 C% p* j9 P M' k) P+ t[9 ]! p6 M5 P' N( \' J" H; i
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
+ Z. O9 H' \0 d- ?. ?! P& fset i+ s8 Q7 \1 l# C' x7 m
( i + 1)
& L4 |, {. ?8 p- w$ Z8 {) N) R]- _) |0 B! ~+ s+ r: D- ^9 p& B4 i
let j 31 V- G4 v1 X: l3 z6 A
let sum-money 0% @! V( R9 b v# o) Y
while[j < [trade-record-one-len] of myself]& P% a% B. B& m
[/ {1 c: p1 n. t3 t- S t
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)
, t9 O% z5 o4 M6 P( _: |set j
: u+ ~! S: J) w# r8 c2 t( j + 1)4 _& O$ \7 v2 b! Q
]+ |, f5 @& m4 R0 D$ E1 m
let k 30 P7 W$ O2 f( X Y% o% l% S. w
let power 0- g7 N. r/ m2 g. h
let local 0
3 w- G: U! c; {0 o, T$ x2 p: V# _: u' hwhile [k <[trade-record-one-len] of myself]
! X. c9 O% T6 x; V, h[5 ?: `- u8 ^/ t6 ~- b
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) " l: |4 Y9 q2 W5 @4 s2 }! h L
set k (k + 1)
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3 i4 n( X. u, t& Pset [local-reputation] of myself (local)
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to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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end
T( d. E6 ] }0 k" n% u/ b6 s
$ m4 d8 |, F. L- h/ p( Xto update-credibility-ijl 1 w- H& r7 e) U$ c
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;;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 H# ~* r/ r; ]6 s/ f* qlet l 0
0 L- W9 W( N& L7 f( Ewhile[ l < people ]
/ ^) T4 O' c1 X1 T8 z9 ^0 t;;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2 k1 H3 N8 _* A" b: W& t
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)/ v& ]( ?( X7 b& `/ s/ D
if (trade-record-one-j-l-len > 3)
" d1 r8 V: ~. z8 T& x( w( X: U9 c[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-one2 H9 q9 A0 }$ H. S
let i 39 U$ @8 g8 s" `7 f
let sum-time 02 e) h7 a s( ~$ P4 u1 F w
while[i < trade-record-one-len]. l* s5 B% \+ ~
[
: R; h- \$ [ f9 c1 f. U) rset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )7 N/ g0 @; T; Z3 \/ y) ~
set i* A( _, Q3 M- ~3 m7 s( v% k$ g
( i + 1)
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let credibility-i-j-l 0
2 T0 g$ S; l, ]. n) `;;i评价(j对jl的评价)
- a* b- |, N2 Ilet j 3+ C* ]& e0 H7 r3 o
let k 45 e6 R" n' ]% P" c4 ^3 T x" m; j
while[j < trade-record-one-len]( v, O* W$ B, F" e+ R8 D: [
[
4 N) B& [ Q! R S" H& w: Y. Twhile [((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9 `& w- D& F% [* x% F% V
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)+ S7 V2 {5 J+ T2 \* x. l) z
set j
2 e5 c+ i' o2 b( j + 1)8 v. a% Z# N2 Q' u0 i
]7 c, A+ Q! X, U( r3 I9 |: p
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 ))* [. P; v5 v( y% C2 A
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))$ h" j" `* l4 Z; T: s
;;及时更新i对l的评价质量的评价
) @9 v2 l5 w; n9 A* ?set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]# p9 z/ {# d% `% L' x4 x; e' K. P
set l (l + 1)
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end
2 k B( ~: U% B; Q$ O% Y B5 j+ ~& i+ d2 A3 p7 d8 `/ ?
to update-credibility-list
( D/ \+ j. g* P' D2 Jlet i 0
$ D. I1 j1 D$ {3 Cwhile[i < people]; A& E4 q' j( Q
[
3 Y) m ]- i. J1 C, X! C; ]/ F9 Rlet j 0! s6 W8 I+ r" w6 `+ Q) l3 w
let note 0
1 @+ B& U; e- J9 N [/ w6 H* Nlet k 0, H: B9 F6 W% `+ }/ m0 z5 K& q
;;计作出过评价的邻居节点的数目& X: D0 E* C; m1 W9 p3 M
while[j < people]
% v1 j+ L- y9 f% k0 {0 p[
& ^6 T. s- K9 I4 ^& j3 Z4 Q9 c" `. Sif (item j( [credibility] of turtle (i + 1)) != -1)/ X- J# ]* B+ T) q! E' L
;;判断是否给本turtle的评价质量做出过评价的节点
" `( o$ A5 o/ H' ?" U: n[set note (note + item j ([credibility]of turtle (i + 1)))" d& C& \" q; ]) K+ k7 f
;;*(exp (-(people - 2)))/(people - 2))]3 s" P+ {8 E; T( k( O/ E
set k (k + 1): i) E0 }" K/ c0 N: B# {
]
* P5 E! I' z0 g! dset j (j + 1)
6 A% ^0 H- [: I]9 r: G+ i# O! f' {0 A
set note (note *(exp (- (1 / k)))/ k)+ n7 G: z" Z, B) I$ E& A3 L
set credibility-list (replace-item i credibility-list note)
3 \, H) k; W% p* p9 s# eset i (i + 1)
) z( h }: y2 ]; n7 g6 Q1 p]
9 q3 K) {& p: g& _6 Y9 oend
0 c" L; F. X8 I* V& ~
2 C6 ]8 X" o5 w. f; v$ |to update-global-reputation-list
# ?6 s; e0 T9 Qlet j 0
: S4 `) ? X0 Y' r' jwhile[j < people]
4 I# a4 h, ]: ~/ O8 q% e9 a[
* Z* x/ [) I jlet new 05 g; L. ^! G" T" u3 N8 X
;;暂存新的一个全局声誉
# J; u5 s. }- C% F5 S: A; a) Slet i 0
7 c {' s/ B3 Y6 N4 O9 L0 ?( S$ r( Mlet sum-money 0
, u# F1 h l" ~) u: k) Ylet credibility-money 08 k5 Z9 O& a( U U. m$ l: C
while [i < people]8 j; e6 H J' U- @
[
" |2 y9 y. J0 N2 e& V$ ~1 T S2 Rset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))+ m- T' F8 e' b
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
* O" d; g7 W( u* Y3 O) wset i (i + 1)
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let k 02 s7 p* u* f! C: e+ A
let new1 0
: V/ V+ Q1 P4 Zwhile [k < people]$ T" m: I/ q- b* S" ]- T
[% e& @4 \' {& u
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)
1 G0 s. d& j- }1 ?0 d& N7 a4 Jset k (k + 1); [$ b* L( z" }6 g2 D
]8 b* }# o, Q1 A0 Q6 O
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
3 Q1 V) }& J0 h: aset global-reputation-list (replace-item j global-reputation-list new) C+ ]. _: b3 T( N/ q4 b8 B7 D$ |
set j (j + 1)
; j; W/ g: f0 S7 | Q; T]
8 ~: B3 t3 B+ `5 ?* x- e" [end
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$ K7 ^# r% h1 Z b% s
" T0 r& b" Y+ f/ s
to get-color
) G" I: C9 A( l l7 p
% R$ b# K! h! e( d, @set color blue1 j% [/ j4 U4 g; U2 x' D3 k
end* r" D: w5 x0 M( G( w. x, p
4 F/ C+ D- J9 q; lto poll-class
1 x j2 O' O" A7 uend
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to setup-plot1
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set-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax d" F; Y3 I8 P8 i( D
) ~6 u9 z5 o+ t% }/ O" o
set-plot-y-range 0.0 ymax
* |+ v0 c, M- \" v7 Gend
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to setup-plot2
" |1 U1 G0 h3 b7 r/ u1 R6 J2 o, z3 g& _1 u. ]; A3 N
set-current-plot "Trends-of-global-reputation", G! m! {. ^' y6 y
' a7 |" I0 {$ W0 `; i6 a. ]
set-plot-x-range 0 xmax1 N* T+ z9 R# U2 r
# U8 g/ y0 m. W/ ?# `& i+ C6 ]
set-plot-y-range 0.0 ymax3 t" v6 T$ p, Y j/ g
end+ J- X! d5 E. o
) V7 }: j/ D) B! wto setup-plot36 S5 I9 b0 J. o
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set-current-plot "Trends-of-credibility"9 c$ `! k T) T9 i/ l
Y8 D% c( F2 M) S# b6 rset-plot-x-range 0 xmax- p5 \5 V" S" M8 W$ h; I; Z9 R6 ^
! T' Z; t3 x t0 \' z+ m8 A/ h
set-plot-y-range 0.0 ymax8 q: ^6 Z. r: `. I* }
end
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to do-plots8 O7 q2 L% Y7 ~5 v \. B
set-current-plot "Trends-of-Local-reputation"" L X5 C, y5 H* p. F
set-current-plot-pen "Honest service"
2 A3 l7 D- w5 }" k, u$ ?end3 J& [' z) y) ^. O- H7 D1 x
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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