设为首页收藏本站

最大的系统仿真与系统优化公益交流社区

 找回密码
 注册

QQ登录

只需一步,快速开始

查看: 14354|回复: 10

[交流] 关于turtle的使用问题

  [复制链接]
发表于 2008-3-14 16:14:39 | 显示全部楼层 |阅读模式
我将customer设为 turtles-own,初始值赋为-1,为的是当turtle遇到同伴时就将其中的一个turtle认为自己的customer,然后进行交易,如下:8 y' E3 H* {  t% N: |
to do-business $ t% _6 x$ L$ M% w
rt random 360, ~% O! q; m1 D' W, \' D8 o
fd 1
) n/ u+ K  S1 m7 j% v) ~ ifelse(other turtles-here != nobody)[
, Q  `& V- j3 n- L   set customer one-of other turtles-here ;;这样一来,customer不代表了一个turtle吗?但在运行时出现了问题.& V5 y6 u) P# f( Q
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
9 M8 k0 o! K4 u& D- ~" h- ]8 f  |   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer
- V. `- b( E) |; _3 t   set [trade-record-one-len] of self length [trade-record-one] of self
: c6 |, U# r6 w: Z5 k& ~   set trade-record-current( list (timer) (random money-upper-limit))% P7 r8 A" B" j# o+ o9 G

3 |4 _0 ^% w2 Q5 U, d4 b: n) Y8 E问题的提示如下:" G$ c+ T+ Q4 u8 D  G7 [5 i

+ s( p; ~5 _$ U: A: p% }* Z% Kerror while turtle 50 running OF in procedure DO-BUSINESS
( G5 F. _; N+ M" _4 ^0 F* C/ d4 P: l  called by procedure GO8 ~  o& I' E+ d0 l  u
OF expected input to be a turtle agentset or turtle but got NOBODY instead.
5 S9 x' [# y' o; ]" Q7 k
(halted running of go)4 C9 @. ?1 ~/ z; `

  J+ `7 k5 d6 {8 S这是为什么呢?我看到一些netlogo中自带的例子也是用这种方法来找turtle的同伴的啊?期待高手解答~~
2 ^5 @+ v4 i3 V1 ]另外,我用([who] of customer)来获取turtle的编号的方法对的吗?如  set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    中.

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x

评分

参与人数 1仿真币 +30 +2 收起 理由
booblu + 30 + 2

查看全部评分

发表于 2008-3-17 17:34:20 | 显示全部楼层

资料不全

你把你的所有程序传上来我看一下,估计不是大问题。(南京大学)
 楼主| 发表于 2008-3-18 13:10:54 | 显示全部楼层
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
8 ~) ]0 _' P3 H$ N. _globals[; ~' ]' C; i- l! t/ A: H
xmax
( z+ n  W; _* \$ h2 g* ~ymax5 m5 P9 L7 t, ]5 t  o
global-reputation-list( D( Y! z) {# {! O  \/ ]
. ]+ O. v0 [: |' R9 k
;;
每一个turtle的全局声誉都存在此LIST# G' @: _8 \+ H% |2 ]. f* {7 V1 O
credibility-list; p3 L3 g3 A  V
;;
每一个turtle的评价可信度
/ C  W8 q, U3 W' h' o! Ohonest-service  J; D- t. c8 n/ A$ D0 D
unhonest-service
$ r, ]8 f4 S$ a; X. [6 G9 voscillation; [$ n, R2 h5 ~0 M
rand-dynamic
/ U9 y" t% B$ S) ?]; H. e, E3 {& l# N! I$ G+ e7 U

" i0 [  X$ t2 F- u7 F2 C( v; p- Zturtles-own[) ]# I( e+ z! B" A5 ]) x
trade-record-all( V" U2 r$ R  f" P7 L+ l7 `
;;a list of lists,
trade-record-one组成
9 b. A% K! ?( C/ n; Y) Strade-record-one
1 `/ n. y  r, w' I; ?8 `;;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" Q" F) k+ l3 t/ T6 D6 i# T$ Q- H
;;[
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]]
- d& {3 ?: H7 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]" X# J7 v" K' |! u) P" L
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list7 ^. G/ \' s0 E  U4 r
neighbor-total
9 Q4 M# s$ b( Z( ?' S7 o;;
记录该turtle的邻居节点的数目6 [6 @# f5 w1 R$ ?1 P  ^( \
trade-time
( x# L6 ?4 u2 C9 x) E;;
当前发生交易的turtle的交易时间; j+ ^  k1 r8 u0 M9 H0 T
appraise-give) t% _/ U8 q' a8 [# S5 k
;;
当前发生交易时给出的评价. c0 {# H* D4 G7 |
appraise-receive$ M  w+ \! i0 s0 \( A
;;
当前发生交易时收到的评价
  i4 r. @7 Q! _; oappraise-time
; N) V) v% q2 |;;
当前发生交易时的评价时间
$ a. q, D+ N% }. p) _7 d9 j* Nlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉( C# B; ^* {" @' g2 K
trade-times-total
8 j0 Y6 }0 t$ c9 \3 O;;
与当前turtle的交易总次数
/ ?5 a$ X& J% j9 x' f' M2 Vtrade-money-total! n$ C' ~0 ?% @
;;
与当前turtle的交易总金额: [2 _7 g8 a2 e5 K. R. P! X
local-reputation
6 D5 B8 l& R6 ]  b$ Jglobal-reputation
3 k7 S2 ]  ?  l  Fcredibility; s! ]! R1 p- D! @# G8 E
;;
评价可信度,每次交易后都需要更新
! Y8 {7 [( [6 h+ `credibility-all
" M" U( f# R) J& U9 v;;a list of lists,
credibility-one组成。[[1j的评价质量的评价][2j的评价质量的评价]……[ij的评价质量的评价]……],其中一共有people项,根据1 g; U8 w, L" T* |; l! b, v
. W  P! X* x7 B; T2 A
;;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
( x9 F) v: w2 u7 W% L3 A( Z' x  ^2 Acredibility-one
3 k8 W' G8 d- v;;a list [i
j1的评价的质量评价,ij2的评价的质量评价……],其中一共有people
/ g4 J" o6 ^, h* W, kglobal-proportion" G9 |- y- E' ]# l" ]8 D! |: M0 R
customer
) s5 t- o, Y4 }8 ^* j# f3 Jcustomer-no
/ d' `7 ~! I8 d* A, @trust-ok
; ^' ?; ?4 t8 g9 K6 j0 Ptrade-record-one-len;;trade-record-one的长度! n/ Y3 P1 C0 [) A: N
]$ U* @! L5 U5 B% [5 q, r" b/ W6 @

2 {. g  c# B) z4 G5 ~8 ~) @;;setup procedure
6 M( [0 Z+ V. v8 O
9 ^! u3 z5 j% k' N8 W9 wto setup8 Y: l" x! B% V  B3 a1 E

* y' ^% A  w9 T$ mca

& g! `) v* v) Z' h- j. L9 C. G- `. O5 ]
initialize-settings

$ X2 M: ^5 J( r4 R2 g* }7 Q- ^
; i1 R) l7 G8 H& b5 c9 |7 d) |5 U# ?crt people [setup-turtles]

& O* e# u/ L( q4 w6 x/ H2 L& g! i0 \, L5 i8 Q5 b4 t
reset-timer

9 K7 B8 ?8 @' J2 k; c
: z1 K* n' Q) s+ Qpoll-class
2 j1 b5 k% P* a' C% X  r# ]+ V
. y3 _. L* d3 @# N
setup-plots
, f) z. ^' ?/ E% x  e/ V8 q5 w
0 M+ d! {5 J" c
do-plots

6 C# i4 d" p# ]' kend) u9 K1 O% ~: d

7 `: a1 j3 b2 |/ j5 Q6 P, [: sto initialize-settings
, A+ X, N+ t1 Z8 |. |" k# }3 Y( \5 y( I% {5 A* \2 V5 b
set global-reputation-list []

! y0 C; U& Z$ O7 I$ W' Z' p! z$ w
3 ]1 k3 x! Z* ?4 y5 @8 t: Kset credibility-list n-values people [0.5]

5 {9 t( G" C. G" M' T5 g* g! O2 [$ D- J' k0 N; {9 U& w' G
set honest-service 0
& ]5 a& ~3 @, {: g2 G1 d
5 r7 N3 E* ]/ m# V; O
set unhonest-service 0
1 W( I, Z; A/ [. T8 n6 z& F

' T, c3 f# p% K. ~' h' yset oscillation 0
- F$ B; U& C: F& W) [
. i8 P( ^) Q- m& `1 Y2 ]+ l1 L* X2 }
set rand-dynamic 0

  e8 k1 {+ {1 I* F+ bend
) {. C% Y$ o: A& |( h- \7 y, y; w8 E7 z. k6 W: V6 m/ O7 m: e
to setup-turtles & S+ F& n9 K4 e5 a
set shape "person"
4 c$ d8 _, p* A9 T- T0 _5 Msetxy random-xcor random-ycor
+ C+ t1 }3 T/ _' _1 A& u4 V3 Nset trade-record-one []
$ F' R) Q4 J9 S4 ~2 `
3 [- C/ q3 ]6 Y( d& z/ g
set trade-record-all n-values people [(list (? + 1) 0 0)]
* g6 F5 o* O4 c2 p4 \: L

: \& F0 C* b7 d. H% W$ Oset trade-record-current []
3 @2 e8 A, R. N8 Yset credibility-receive []+ q0 o  e. p" a3 @3 y, o
set local-reputation 0.55 D9 B' z( \' D3 [$ A! C
set neighbor-total 0- g: `  v1 x4 T
set trade-times-total 05 I; {2 w1 e. C" y
set trade-money-total 0! k- n( n. B4 W) x" Z# s- S$ U; d
set customer nobody7 }) s/ k2 u" _( [4 H& }
set credibility-all n-values people [creat-credibility]
$ ]1 E* d" d# A, \% X0 Wset credibility n-values people [-1]
6 c1 H  r! s# C/ v( Sget-color
. w4 i( D- V. V! {% `

! @" T+ a/ r+ G( N) ?- ]end; C: ]6 l! |% z7 h

; x% F2 ^4 t! _: x- yto-report creat-credibility
8 C0 L* k  I9 I$ r# U9 D6 {4 Freport n-values people [0.5]
. f* C- o7 |" r9 D& }& ~: l2 L/ iend
5 @0 @! Z8 s5 [0 x; j
4 j- Y2 R6 b. T0 D1 Nto setup-plots
! m$ w$ m! }+ I  t) H: F/ C  [& P+ |! k) w* L
set xmax 30
+ c5 v0 a* V0 \# j
8 O& j4 x( O6 ^% M! z" e% ~9 a
set ymax 1.0
: a0 y5 T  S( U+ D+ F

8 g0 u8 J0 g* w, x* A. c* I) Zclear-all-plots

6 d# C# B$ Y8 n5 N, A1 n; e0 I7 ]
8 D- ~, _- t2 W" @: msetup-plot1

5 ]; s8 z' q9 A
6 V4 ?* P9 S. dsetup-plot2

- j7 n6 D" ^  L& q6 s/ J4 v& C  ^( X0 J& B) d  u& {! z
setup-plot3

- y5 q0 g* \" R  x' [1 tend
. u0 b* s7 [  X( B
+ @  h0 C2 g6 B! [) \;;run time procedures. ]: D( B) {. X8 i, k9 o
0 E" T! d: J9 D! x% c4 w
to go! W5 f* [; M# a$ R* Z6 k
2 |- v4 j$ j4 @! c1 u
ask turtles [do-business]

8 H9 |3 K2 N- ]" g9 |/ K: xend
. K: A2 I7 U% V, o( `9 y7 {% `8 s) k8 l
to do-business ( Q: E$ F+ F& [$ [5 C2 F3 t- P
: |) f4 e& G. Z6 P: u  \

7 O9 r0 j1 J5 R9 `& J1 E8 hrt random 360
+ T9 o# B6 x8 K" g
! G0 w2 J7 ~9 n3 `5 S( w  ]+ K
fd 1
" A2 q- A( @- c$ P& u

5 ^( m  G5 Q. }ifelse(other turtles-here != nobody)[
4 U' h' E5 w7 E9 s! M# H
0 R2 `& @% b, ]( \' V
set customer one-of other turtles-here

1 e5 d! C: e9 j; i" n  |! M, _0 r! t; c( P
;; set [customer] of customer myself

: D2 F& Z+ a4 c6 \  L& @* V# u4 k. y: c& X
set [trade-record-one] of self item (([who] of customer) - 1)
* j2 D8 w7 K3 x, s' [" I; B[trade-record-all]of self2 l: a) }; V& D: \
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
8 Y/ O) L0 Y! z3 K% f8 ^& }
2 N. e& ^9 H. R
set [trade-record-one] of customer item (([who] of self) - 1)
- y- ^$ {9 z5 B/ d/ a[trade-record-all]of customer

7 e( B  ]1 L; g; |$ {5 p
% |8 b( j4 n" d6 r5 D0 xset [trade-record-one-len] of self length [trade-record-one] of self

5 J  Y& t& i0 H. l8 L2 q! N( |
0 y; t& a+ k! s8 d$ H7 Cset trade-record-current( list (timer) (random money-upper-limit))

- O  K/ Q. M0 R! B; M: P1 y+ ?
' Q- z  Z  [6 Z! P4 t) xask self [do-trust]
- v1 |' a/ ~6 u5 S. D1 C5 F2 g5 a;;
先求ij的信任度; K9 y' g: D5 T1 s* g6 D( S
/ m  E$ ?) m) k% _2 [- i9 T$ y% a
if ([trust-ok] of self), k0 E7 i% C: t0 w6 k
;;
根据ij的信任度来决定是否与j进行交易[/ T) v3 u$ D, j5 _1 a* J+ I
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
# V& s; H/ E  q; {' X9 J6 m6 W5 H" t# G% ^; H8 i+ d
[

8 O" o- y# Q. s4 d8 L: K' s$ v& a/ k* X
do-trade

7 w4 `' p2 p8 i) P" l: i6 ?1 r( I: n* W3 j% S- v7 f7 M
update-credibility-ijl

, x- S( P% e: J% F. \" C7 i, v: }. F7 B
update-credibility-list
- I+ b3 o1 c. n+ r" A4 D
8 }. A) Z# ]# L* V1 {
: Q  u+ C+ X7 T( A" f
update-global-reputation-list
2 `, V- s& u  X, B7 ~: N

; L+ ]- `$ q2 D) @! Dpoll-class

- u4 r: ]! I7 v9 x5 f# I" B
  E' q% u' O! k1 u: Mget-color
) p% S" Y; Q$ y1 F/ R1 d" P. g
$ z+ t. C" k: B5 [$ T
]]. {2 m/ u, X; G/ }5 C' K
' c* }) I5 b% g; _) V2 ^# d
;;
如果所得的信任度满足条件,则进行交易
2 x' ?. w1 U! A# S
2 t; W# v; a2 e[
3 Z# i5 [" p! z- w3 q( b
6 D5 x2 s; D) ~6 d, h/ u& o
rt random 360

4 t1 f6 m$ i  e1 N+ U9 ]  n( a9 C# E: |2 _  c  H
fd 1

# [" o- }4 Y; x; V8 [) _- e
" X' q) Z  N0 X: s, m0 r. X  L]
: I: i3 W8 z4 B' _$ a: C
1 I3 @# d+ s1 Q+ R/ p5 v
end

9 s4 a9 s( S6 x0 E) t5 Q9 L( {; M3 w: |9 \
to do-trust & I* e0 O" @/ l# ~
set trust-ok False' M* U: p) X# P) t% r4 m% S+ W
, z9 f$ ]( W1 j

1 s0 n7 @6 O4 c/ E( a8 Ylet max-trade-times 0
; Y9 B! @+ r, h- \+ Wforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: Y; b0 _  p/ ?6 J* t% p7 ^let max-trade-money 0+ o- J9 o! P: T& Y4 \& q- q
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
# E& D4 m+ F. j' Z# Glet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
2 e0 d6 A! G" h0 @* v2 [1 h$ c+ b
# A7 \+ H1 W. N% a# q! O

' L& _( f  k4 F) X4 G7 }get-global-proportion' z4 l3 A" [2 S: z
let trust-value1 Y/ C! w7 t, Y4 ]0 ?( m! w* K6 B
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)
* ]' C. n1 F  u0 l( G" x
if(trust-value > trade-trust-value)& U. N3 ]5 `- V- n. ~
[set trust-ok true]- Y$ J/ L. z+ c8 Z8 Q* _
end3 s' i; b% I. }* Q3 p
/ M# @: f% G& S" k6 O1 J) {
to get-global-proportion% k2 {7 a1 i, _, H6 B% z
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
& O  U$ h; A2 `[set global-proportion 0]3 N! b3 k8 c/ o, U
[let i 04 j  i, i7 n9 B/ d8 O% y# C
let sum-money 0
& }, Q2 z# Z; [8 Q3 A3 T. N: }) mwhile[ i < people]' P+ q) g- i! x8 F( E0 t4 L) D3 X
[
# V( v. l9 b$ Z/ lif( length (item i2 r! J, M) E2 k8 r1 d' u
[trade-record-all] of customer) > 3 )

# }* G5 k3 Z% D  `3 H/ z[
4 E9 m- p6 j& }. H4 u/ J, g" n) w; aset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
+ y5 Y, w) s8 g- J]
) j$ _* D6 F" K! t' u]; r% E  W: D3 x/ n; l6 i+ w6 D( E
let j 0
, b8 Q5 ]6 g3 y" vlet note 07 L2 Q4 E9 w( V; B! N- _2 H
while[ j < people]
* c: u/ m. p# I& I' h, [& f9 S[
* g" ]2 w7 P% s1 K. Eif( length (item i
1 Y& _6 p' x& W( |! M' |[trade-record-all] of customer) > 3 )

1 X  I+ {1 i: F/ e: j0 B5 Y; [1 e[
. E0 t2 V  ?8 f  q2 L) xifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)% t( M1 M. e% A/ m
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]# T1 W- k4 s( I9 X2 }
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
2 B+ w6 q' ~3 {, c' d( w5 M]
  l4 _7 P0 q; k( C! {3 D0 h]! Q0 d; _2 y3 x2 b: C% l5 J
set global-proportion note
: [# P! k* O9 s' q; q  L]
7 i; n) \; G& J$ b* m7 z" lend9 l& D  A# C# Z1 F9 O8 R6 |$ T3 }5 e7 `

2 H, B& O( B8 {- K. n$ m: Xto do-trade
2 a' `) x0 \8 G, h2 w3 O;;
这个过程实际上是给双方作出评价的过程
8 b$ E8 o7 v" z2 r7 Y" yset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
* [5 v- y! R7 m+ {, Cset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
9 g' j& v7 c  Aset trade-record-current lput(timer) trade-record-current
5 c5 Z: k9 ?3 D/ A7 g2 x;;
评价时间3 {, _+ d' m# d" ~* c# v7 l" _
ask myself [. `1 N* o2 k6 j2 I
update-local-reputation) y" I& D& V1 `$ E  Q! k5 {  w* F
set trade-record-current lput([local-reputation] of myself) trade-record-current9 {) F  f! q- N! \
]
! _& |' g) P. G, b! A  {% Rset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself. v- J+ b+ e1 t) y$ ]0 c4 H
;;
将此次交易的记录加入到trade-record-one1 v0 `3 @% E- q
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)) I/ r% l) _; Q5 i. n( R8 M' R1 Y# \
let note (item 2 trade-record-current )# ?5 V9 c( U, u4 j2 e9 ~
set trade-record-current
. [; P# `1 y7 K! D: Q(replace-item 2 trade-record-current (item 3 trade-record-current))
0 B4 g4 r: x, f  H- _7 i& N8 w
set trade-record-current
; f& v7 y- [2 S/ D7 p(replace-item 3 trade-record-current note); `- L* R  _5 O1 n- r
  U/ `1 B: a" V9 Y+ c; F5 K2 F( P7 s

8 f3 w0 Q. g) ]( T  h8 |7 c' `! a% ]ask customer [
1 j" I. q& X/ Hupdate-local-reputation
- Z0 A8 K" u1 Bset trade-record-current
8 A' F* I! R. n8 i! c(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
: T7 o+ |2 O. d+ t7 B2 F) W) l
]  Q$ |+ w. s1 Y" z1 n3 w; c
% ?2 j3 Q/ h; R5 [8 d
  v7 d2 c& j: K' B! {* k+ Y
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
% E: {! \  R7 g( O* S2 t8 @# V

: t4 x* I) l4 m6 qset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))/ [5 _8 K0 d/ H( U; I
;;
将此次交易的记录加入到customertrade-record-all
+ F& ^# N/ k  x! b6 H; u2 [end
, k/ ~: \2 c3 s* i+ i3 D
+ D0 D, L3 t2 [to update-local-reputation% o& N3 S& _% l
set [trade-record-one-len] of myself length [trade-record-one] of myself
/ F# Q( C! e- w; X& l
0 t, W. H  X1 D9 _  u5 l/ ~" \) S) O: A7 y
;;if [trade-record-one-len] of myself > 3

. o* ]% }9 M+ P- L4 I) r* Xupdate-neighbor-total
0 V9 b% g. f( d1 `4 x! b;;
更新邻居节点的数目,在此进行
2 L& g0 z$ M, W' u& L" o4 I  |let i 34 C7 |9 m! p) e% u, b% k1 U- M
let sum-time 0$ y8 \! W6 Y9 p" n2 M
while[i < [trade-record-one-len] of myself]" F8 l# o1 I1 {9 G/ ^  y$ `8 X
[
) W6 C9 I; z7 b9 d; Fset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )7 N( n# E1 O: t. A5 t
set i
8 I7 q' r- a. z) E( i + 1)

8 t5 _6 X7 v: N. ?( ]]/ }# N! ^  t. u9 {  y# W" s
let j 3" \( @' }4 E$ t
let sum-money 0
: d: C: ?. @& r& q& x3 N8 s% Zwhile[j < [trade-record-one-len] of myself]
6 m3 h5 v" L/ X7 m- Q( i+ ?7 i; O[: d7 |! y' t+ b' A0 R2 ~! Q
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)
! B. O8 g/ ]( Qset j
8 [: w( \1 H9 P) [! q( j + 1)

( u+ B* p! S& U], h0 ]' W) `2 s6 s+ L1 W, K# A
let k 3
! L7 ?. w8 c: i- Qlet power 0
/ H7 g/ p( k' _  E: x/ U6 d. f3 w' {let local 0* J& a5 P2 S8 B. x4 Y8 y9 Z; C
while [k <[trade-record-one-len] of myself]: W1 o8 @" M4 ?; y
[
& X' Q$ H  r$ R2 Rset 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) ; L3 V3 E' b8 v& O
set k (k + 1)0 J$ Z. o' n( S& y6 d! T7 w
]2 w+ x. u2 [( S* Z2 B
set [local-reputation] of myself (local)! s: j4 D2 f$ s1 z
end* w/ S" z- c5 K: L( I9 p

9 C! G& s& {1 J: O# ?to update-neighbor-total
9 Y0 [" v3 [" S0 P, q3 C7 W3 s* A0 @. r) `
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
- S! r& D: t  b" C! h9 P
8 Y8 X  t: y/ D

! ~* l( N5 k, [: E7 G% {- mend+ L2 y! H! d2 K! q9 f

. `% y2 t5 j  V, A$ `to update-credibility-ijl 3 k# u' k7 A7 C3 q1 b

% Z2 D3 f5 z* \+ l: I1 w: q1 C;;
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# [0 W- G& K' g; ~: _. [( Ulet l 0
% _+ G: c) ~1 s1 e. e3 \# u* Pwhile[ l < people ]: f+ c2 T% d2 _: V5 z8 S  I) Q
;;
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
0 d8 ?+ W  F- r/ Z# Q* p  V[! {4 t2 W3 u$ y9 P
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)$ b( q( M' Q9 B! G
if (trade-record-one-j-l-len > 3)
8 G! [" @( K6 @7 y6 W3 C/ M0 {# @[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ltrade-record-one. v8 K- e7 M' i! ~
let i 3
/ L- w% L& `% i3 C6 C! }3 Zlet sum-time 07 B5 t4 P" Y; C& o) j; u! g5 J
while[i < trade-record-one-len]6 K* F8 _( `) {$ D# G& ~% U( A
[
3 r7 O  i2 j2 O9 k( kset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
; Z+ }( `$ E# t; \set i* V" R$ k6 N1 @" {& F3 u0 L
( i + 1)

/ ?* T7 D# `5 y]
& F, h% F, U& {) j2 Alet credibility-i-j-l 0
' S$ x3 k5 \# V+ h;;i
评价(jjl的评价)
4 f2 P. _2 l! {9 ]) j  y& W: hlet j 3
* F$ D# Z: w2 h% Ylet k 4# z: W  G: W0 X2 i
while[j < trade-record-one-len]
+ v) Z* {/ @/ G/ u% Q7 c[
$ @0 F$ f/ R! w& n2 ?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ik次给l评价的这一时刻,l相对于j的局部声誉
% y3 X2 ^' l8 C  Gset 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)
: L" O5 U3 c# f. @, A; z* _set j
9 V% i9 l! k1 ~( j + 1)
& H7 H" |7 ^% m! R! A0 A  g6 }
]
. N' h# j/ ]) C- K  B0 u# x1 Pset [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 ))/ Z4 n, q0 y- E& S! P* D( |
/ P/ [1 i: l7 y# o
2 Q9 t9 I! X% V* V9 Q' T/ U  V
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))) M3 i5 h9 f* l4 F. o
;;
及时更新il的评价质量的评价
7 `( m' x( K5 mset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
+ t: s. J" w% F2 ]" Iset l (l + 1)5 l  M3 P* A$ }! X  F: F
]
# U0 M! ^* {( P4 Xend; h7 [( _+ @1 ?; o+ o% p" X

/ C" M' d0 |& `! K; Y) X/ nto update-credibility-list9 E' I- v# I1 i
let i 0) T1 }4 W' d2 w& P6 |( O0 {
while[i < people]& V9 o- E/ v0 L( }4 E  k2 y2 i  b! C: o% {
[" a2 _5 ^: r7 U' C
let j 0: n8 v% M5 P: k# U. F1 [- f: f% @* a# y
let note 0! G% ?: }1 s# E4 z7 z* [; x
let k 01 M1 r8 O/ G& U
;;
计作出过评价的邻居节点的数目/ a& u" H3 I8 T5 |. x
while[j < people]" v( y1 A7 o5 |9 P
[: a8 ?2 E( A2 n% s
if (item j( [credibility] of turtle (i + 1)) != -1), T4 s9 E9 Q' f& R
;;
判断是否给本turtle的评价质量做出过评价的节点
1 z( _  c0 d9 l& J[set note (note + item j ([credibility]of turtle (i + 1)))0 y: K4 i5 i0 E& j9 G
;;*(exp (-(people - 2)))/(people - 2))]
; r  B8 G0 R% k! e  K8 T
set k (k + 1)1 k. p- u& ^$ |  ^
], p5 x3 C: j! _0 E6 w7 ^1 g
set j (j + 1)9 c$ C  J/ i/ J& e# `
]
: @$ M1 q# L7 s7 xset note (note *(exp (- (1 / k)))/ k)8 T- A6 [6 `0 j* p! x
set credibility-list (replace-item i credibility-list note)
4 s& u- y" Q9 m, Xset i (i + 1)
& K/ I  |+ I  y) K]) c1 G; m$ @; q" v! u% G$ ~0 e
end
0 @) d0 M! F5 ]& r: z/ t- g2 [' ~5 X; m) t7 Q" m
to update-global-reputation-list
! K- x9 F) W9 s0 E) P) Dlet j 0" }, Y& e: B9 S, t* P9 y" u2 E) Q. N
while[j < people]+ A3 ^4 d* \' W* }% {$ s
[
6 {+ C9 ^7 z* M7 K7 [9 n+ ilet new 0
& c' K- U1 _1 |% u: i;;
暂存新的一个全局声誉
% W! l9 D% c' `  S; J. c) L# Y7 Glet i 0
8 k+ Y# j* W, z/ z* @: Q# @let sum-money 0
* |. Z. b: E) \5 _9 U. J% j' }0 Slet credibility-money 0, E( l) x, p+ j$ b, ?) V7 m
while [i < people]3 p9 I1 b7 w" \9 u6 A. |
[
5 j2 ^; ~9 e! L& R) M% \set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))( |( n1 O" V3 N6 ?8 V, B
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
  |, E4 e; s0 y# _5 F' y( Fset i (i + 1)6 v/ H: }3 H, q+ s. D+ T! [3 I& S) ~
]/ n5 h$ B3 d2 C7 t' h7 h
let k 04 i* B4 s  M- d" z) i, X7 c$ H
let new1 0
) e/ d; K4 {2 P4 d: w. w! k8 awhile [k < people]
' s+ ~! m, L1 v. ~[7 z; |, `  X+ A' z) {! L. [, C* ^
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)
, y/ e+ d( ^; x8 Y0 Aset k (k + 1)
8 t; o' J4 b, t/ }% W# i' `]6 ^# u$ b' d2 ]8 R. A( p3 M4 `
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
  V1 G7 L, u5 _4 Eset global-reputation-list (replace-item j global-reputation-list new)4 s2 C% Y3 z# [0 X: z6 `
set j (j + 1)1 d+ l% F* |2 e# u1 Y* g) h2 C/ G
]
8 r9 @0 N: U' ]/ n/ t9 Pend7 e9 [, t- g3 |; X. v$ O9 r& R& q

& E# Y% R. h. G( e9 L" X
9 q. I- E/ y4 q) {  I+ a7 o. x+ E
# E' u0 B) [% z* M9 @to get-color  @, S4 P% L' U% k+ W2 @

4 c7 {7 ]7 ~0 O5 fset color blue

) e) v1 h4 ]$ H* B% Fend" J7 F8 L- V; R0 \5 k+ D7 t; o, Y

! T& \( ]% h+ C9 @! @3 ]to poll-class! g! {- K/ \" M' W* e
end. J( }  c3 P: h
" b/ M2 [- m2 J/ x. k! s
to setup-plot1
! z, S/ L. Q5 O: g2 ~
: v5 [- L0 Z/ S. [) R4 kset-current-plot "Trends-of-Local-reputation"
$ R6 B9 H& C0 [; S# s% q6 C

9 w1 s8 y! x$ W  k) E$ Eset-plot-x-range 0 xmax
, v& Q$ B2 C- T1 P3 h
0 z( R+ U! G: |& M7 G
set-plot-y-range 0.0 ymax

& g# w4 i5 h3 T& {/ Jend- g+ l. N/ I+ ?' D' I3 E  M

: x$ t$ @' n0 I( Y/ F1 Q/ Nto setup-plot2
& D; z( y: |. X( G$ I; X  C( b) i9 t, Y1 k1 ]
set-current-plot "Trends-of-global-reputation"

, U9 U" g% l, f7 M* J* B& c$ ?! C& M
set-plot-x-range 0 xmax
( \( }9 ~5 p! _! m% R+ J
( U- U% C1 i3 }! Y9 m  E
set-plot-y-range 0.0 ymax
9 m0 {# O! _; d) g/ W& Z- O
end1 ]7 c0 o. K/ T+ k% m$ J
4 u1 v5 O" \  e. N' g1 R  k- f( l
to setup-plot3% R/ C$ g, f" _* s9 H: @
. V0 i, r; ~3 |$ v+ T
set-current-plot "Trends-of-credibility"
9 G+ S8 C. O4 h% M

" T# b9 H4 u+ P/ L' F: F' Xset-plot-x-range 0 xmax
$ X5 o& u1 {* Z

: n, U. X! @  \9 V. }5 F0 Z& ~set-plot-y-range 0.0 ymax
7 v6 w  N. g4 Z8 g8 D: z5 u7 @! Z
end4 Z) C( t9 B# Y2 }7 {

! f6 l+ m/ d  }. C: xto do-plots
+ W) e) J9 O( Bset-current-plot "Trends-of-Local-reputation"
0 H* e, A. I- ?$ n. kset-current-plot-pen "Honest service": ^: v" a! H& ~
end
0 S! A& g: m. v. \/ b% B2 C  t' h( w4 ~$ H* C- _
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ]

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x
发表于 2008-3-19 11:33:07 | 显示全部楼层

有点困难

没想到挺复杂的,我去问问师兄们,不知道你是自己建构的模型还是其它模型的改进,我试了一下好像setup都有问题,别着急啊,呵呵 。
发表于 2008-3-19 11:34:29 | 显示全部楼层

还有啊

发表于 2008-3-19 11:35:59 | 显示全部楼层

还有啊

能不能传nlogo附件上来,一个一个敲太累了,好长的程序啊。
 楼主| 发表于 2008-3-19 12:47:57 | 显示全部楼层
嘻嘻,不好意思啊,现在把附件加上了.
  c! e7 u. G. \; I  x2 X! @3 ^! E2 g1 `
这是我自己编的,估计有不少错误,对netlogo了解不是很深,请多指教,谢谢!
发表于 2008-3-22 16:55:16 | 显示全部楼层

程序公式

我问了一下,只是从程序角度来分析,是跑不起来的。如果参照你建的模型(公式),可能会有帮助,我的邮箱是wjcpcahu@126.com.方便的话,看看能不能进一步探讨。
发表于 2008-5-19 18:02:44 | 显示全部楼层

运行不了

提示custom无值,这是怎么回事?
发表于 2011-4-10 14:42:01 | 显示全部楼层
好高深
发表于 2011-11-7 11:36:13 | 显示全部楼层
为什么大部分的帖子的交流都止步于2008年,从08年到现在好像已经很长时间没有更新过了啊,为什么呢?
您需要登录后才可以回帖 登录 | 注册

本版积分规则

QQ|Archiver|手机版|SimulWay 道于仿真   

GMT+8, 2026-5-6 13:55 , Processed in 0.017772 second(s), 18 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表