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: 18226|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:
4 ~* a) b: Y0 V" N3 L" W: w4 g; `to do-business
+ O' N  D7 ^: C) [. ^+ l( X rt random 360( \3 [; Y: B9 b- k! l1 ]
fd 1
8 c1 N& j. z& E1 n+ X; S! p ifelse(other turtles-here != nobody)[. b0 g* t; e/ @2 i' F( Z
   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.
( {% \  i: C; g4 l" {/ U( |   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
3 s% Z4 u# x2 [% {8 n   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer3 U5 @2 t* z: m- l2 r! E9 w' n
   set [trade-record-one-len] of self length [trade-record-one] of self
# ]( i* o7 o0 @! @4 D   set trade-record-current( list (timer) (random money-upper-limit))
! S/ e3 \: f- D" }! g* I  a, L
: b% M% h4 M) R问题的提示如下:
6 ]" J7 `/ T) k0 ?, d: O
# r! o% G4 {; S) ^6 v) eerror while turtle 50 running OF in procedure DO-BUSINESS& C2 Z- O3 d! g
  called by procedure GO
  a! X. i8 G9 W! h: YOF expected input to be a turtle agentset or turtle but got NOBODY instead.
5 c. f. }: {$ E
(halted running of go)
; |( m  h5 s4 z1 z/ u  t
) v, k$ `: k+ y- i. ^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~~
/ w7 s' z5 ]% K5 s, X3 E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
+ A2 J: q. q1 J# H) nglobals[# b& e1 y) u* m
xmax
: A! I# D/ U$ {" A; ?ymax8 T+ N+ Y) [2 o! J- D% F+ m& J( D
global-reputation-list
: A7 u# a! \: F: c7 v  X2 G1 `
, \& T/ L5 f# u; };;
每一个turtle的全局声誉都存在此LIST
! h, ?' e0 R* ?5 vcredibility-list
; L9 N/ w5 R7 m;;
每一个turtle的评价可信度
4 h# e$ K* z6 T! ]) g4 Ehonest-service9 \4 B" p1 V! _( v9 M- q+ {
unhonest-service
# B; O: y, v+ ^# Woscillation
7 N" [  I' X8 k3 B0 f/ z! ^4 mrand-dynamic
' F( {! I; a. i' u( p]' `6 e( R6 I$ k

( C9 o1 x2 m5 Lturtles-own[; ?: H/ ?, E7 ~9 L$ u) S# d
trade-record-all: ?% Z$ `3 V' h3 ~$ K* K
;;a list of lists,
trade-record-one组成+ T3 ^  F! k8 O& e- P
trade-record-one4 Z( r7 [# V$ p) D
;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
/ z/ s+ ^  G( H! ~, I( r; K1 U8 i
" W: a$ v; M0 R/ p% 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]]
" R9 X0 @0 u; htrade-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]" f/ k; D2 h/ ^2 Q- g
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
, X! n1 \- ^# b, J0 V3 Hneighbor-total
- o4 L+ T, ^) h; n) r2 Y- y9 m3 H;;
记录该turtle的邻居节点的数目3 F6 h4 a6 ?  f% G
trade-time
7 `8 W) O  S4 O;;
当前发生交易的turtle的交易时间
$ N7 a) p( G. e$ v, B2 eappraise-give
  ^* `# Z1 e! W3 a/ J) ^;;
当前发生交易时给出的评价$ {7 d, x! E- L$ v
appraise-receive
5 `  v+ s2 H' p# P1 H;;
当前发生交易时收到的评价
/ \) P; R: @' Y8 ~0 F5 Y/ R. \+ Y' happraise-time, H) J5 y# S. E0 ~0 ?; f9 V
;;
当前发生交易时的评价时间
  z2 K7 V8 A8 B# I# V) C" Flocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
  Y( _" q# y' {( p% `+ mtrade-times-total
1 H9 R3 X8 T: [. w0 Y1 w5 E5 L9 ^;;
与当前turtle的交易总次数. R! E6 j$ J7 U9 C" S( ]
trade-money-total7 X8 v& e' c; Q3 \' }9 J6 I$ p
;;
与当前turtle的交易总金额
) _8 g- F" c! s+ \' {! u5 ~- Xlocal-reputation. z' |1 H, G% o" J
global-reputation
7 R8 H$ d$ D' c3 e& b1 ucredibility: X# K, T5 o  h) B1 C1 p" ~
;;
评价可信度,每次交易后都需要更新( s1 l% U# X5 E& o" ~, A' C; h
credibility-all+ G: k0 j: y! ?+ r$ 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
! D, O3 j: K3 ]0 s5 y6 G8 J
7 G0 ]/ i* N% F; ^* Y2 ^+ g2 f2 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: w3 r' {3 {( D) f. C- \3 v
credibility-one
7 G1 J; Z& o* `3 w4 j$ S* x# b;;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* T4 W7 U9 ~. _9 f/ Z
global-proportion& n# J/ f+ Z' J: M7 |! \) H0 T4 |
customer
/ A* N9 n" q% Kcustomer-no
% `- y" i- I2 c, _2 X9 @! V& a  {( {+ rtrust-ok3 d9 s. \+ [7 l# f
trade-record-one-len;;trade-record-one的长度' M- g3 F6 |. I7 O
]: a- D, C  a5 ^4 r" c

/ E* v. O) u) q;;setup procedure
; y" e; n8 N! ?1 j+ ?" V$ a- i: b2 {, M1 M* P
to setup1 M" z& O2 M1 [/ D7 l! P4 J. W

* |/ l- v& F9 |6 v: u  L2 ]ca
% M6 b& P# E% }3 \
) z/ M3 ^7 L" X
initialize-settings
0 }- R: D( k& l& V; Y7 t2 }5 f# i# q

# u1 s4 y7 |( {" mcrt people [setup-turtles]
1 C$ I% c! L3 B4 ~
; L: B+ r3 T( C7 x$ S3 N
reset-timer
( t2 ]: A1 w  P0 h: B% @

3 X6 o" D" L% S8 H0 t3 N4 L# Qpoll-class
" J  l; w+ z" D. O% T. h9 C
- ?- h6 o+ ^/ F) s% E! r
setup-plots
1 A; l% ]- t2 g+ M

; m+ i7 c+ q, [: c+ O9 ?do-plots
/ Y' [- P; D4 u3 J* a
end
% L3 e7 S) w4 S. y! \: }5 q. c& }- [4 V$ p. ~! P. u3 w1 q
to initialize-settings! [5 c. k8 V0 f! w( @4 K; [5 E
" k  s' h" w' d8 @8 n2 _  }4 _: u
set global-reputation-list []

" Z  k; ^: ~0 |+ s
7 o# q+ x( s, D/ R2 }* oset credibility-list n-values people [0.5]

5 ?6 z7 n0 O9 G& W7 ]3 @
% E: S+ S: W, f& t6 ?' Y' b  ?+ Eset honest-service 0

8 x+ ]& b, e. l2 |- u1 J/ {& K5 A5 u( o7 W7 R2 ~$ v1 D% f& o$ n
set unhonest-service 0

5 ~* {3 n6 J  q. q& h/ ?( x; P  o8 A7 h
set oscillation 0
4 d$ L& L+ D, F4 @
( C# v* s1 O% m5 R5 Z! B
set rand-dynamic 0
0 V' V5 A9 Q6 B5 ^3 F: \
end( _- Y/ U+ Y, u3 B1 s

8 E  \. g2 b# Q2 oto setup-turtles ' V+ A6 Z: z: c3 R
set shape "person"
2 F% m& W2 V# Vsetxy random-xcor random-ycor
1 I* c( q2 Y( d& x7 |  u! t8 K) Q( tset trade-record-one []- |! m5 g4 G6 [% Z3 f
& B9 o# {8 L. M. f4 T# T# G
set trade-record-all n-values people [(list (? + 1) 0 0)] ; U3 B/ b& A; j5 }  q) w$ `( S) u
- H  y$ I' {" _1 j* T
set trade-record-current []
  w# D& Y2 |% w  F' V* aset credibility-receive []5 {+ g% Z. Z$ v
set local-reputation 0.5
( H. ], V- y& ]1 S; A. B( L1 wset neighbor-total 0. f- U. o( q6 ?3 z2 g1 R1 D- _# C
set trade-times-total 07 E+ f6 k7 Y2 z! y* Y
set trade-money-total 06 h- n0 ^- R1 v
set customer nobody, Y/ I1 p) z( {( Z5 p
set credibility-all n-values people [creat-credibility]
% I# c1 C+ I8 D) ^& Xset credibility n-values people [-1]
/ S6 u) |+ ]  e- K, z' [3 ^get-color
% {3 _; @2 o' u1 U6 B+ B

3 H; W& Y8 S4 Z, uend
2 O. t2 _' B- }
* F* z0 ?% {3 q/ l' s8 U% rto-report creat-credibility2 G* x1 n3 O* k$ F) v& E
report n-values people [0.5]
, ?7 @# s. i' W( @# z- R! jend
" V  W0 B" k8 j4 `! e  J7 U9 ^5 e
9 |+ `( e; {6 z+ ~to setup-plots
, i# a6 N. h$ G- \6 X7 i0 o
0 x- F# Y6 V. t/ L0 P! `( h) [set xmax 30

" G3 ]: p8 I0 B% H5 W; m: _  t. b" u& r# J
set ymax 1.0
  U; D& r) H* n0 F6 C' F
+ @7 T) X9 [' o  }# k3 b
clear-all-plots
. o0 {# ]4 d( J/ m$ K

6 W7 |) j8 O4 r1 Jsetup-plot1
! h) M; D2 o+ K
; e! l5 A# H0 [& R' R5 T
setup-plot2

% ^) ^: p6 V* j+ A7 o7 \0 w+ u5 d7 t6 R3 s! L
setup-plot3

3 @; |3 W* P! ~$ f, a0 Rend
9 L: [# |$ G4 @( s! R8 \: B5 c! Y' i5 n+ {2 I
;;run time procedures$ ^1 Z9 c! E+ q4 f/ X* R3 f

. D- j: R; P- m1 k$ [: z5 g% o" |to go
9 y0 r- \, x/ H0 {4 B- n7 J6 ~3 |+ p  a4 C9 W( U: }$ v# s7 h
ask turtles [do-business]

# D; `1 l8 |8 z2 e3 v0 _1 n/ ^end
  [# x1 h! A  m8 I& C3 c/ ?" F* X- \3 P: V+ b% B" A
to do-business 8 u' {6 }7 _* k6 h3 W) z% \. d

3 \' X' X" [: P" D- ]) w1 K0 m5 g+ E
3 s, x- E7 T) ^3 F' _3 y. Srt random 360
/ w4 C9 M9 Q& T0 c; ^1 O& x- z# K

! a- M- q) @3 w8 U: C% K2 ?fd 1

7 m: R/ m& n! n) d5 \; b- P' y3 J" z# ^( H) `( |$ Q+ A" g
ifelse(other turtles-here != nobody)[
' R3 R8 Y5 X6 |' K7 \" u

7 {; f* T. c9 wset customer one-of other turtles-here

# p; s# H) i& J
+ w( b1 p) H% v* {;; set [customer] of customer myself
  w: W  I2 F: N

9 I  O% r3 [1 A. Q5 C9 tset [trade-record-one] of self item (([who] of customer) - 1)
$ ~) s, u) c9 }' T[trade-record-all]of self
- D% D2 U5 I( H$ {" l9 S  \;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
! b9 @! i! R( b6 j( w3 J) u' N1 ]

0 I  e2 f5 N' ?/ p- B( z. Gset [trade-record-one] of customer item (([who] of self) - 1): i: g5 J/ j( e1 t  c
[trade-record-all]of customer

5 p5 Z( v: Z: ?' h6 _" j& u+ o* X5 k, }( g5 W
set [trade-record-one-len] of self length [trade-record-one] of self

4 h# y# B* N" H9 N
* N- I( U1 e! I& z* {6 u" M) rset trade-record-current( list (timer) (random money-upper-limit))

1 H1 B, b6 q- E2 ]) Q. s8 Y  c. T5 w6 ]) n4 j5 J- v
ask self [do-trust]
1 y; w! S; C8 Q+ x+ F;;
先求ij的信任度+ V' Z+ s- R7 p4 X

. W! O1 ?: ]' T. r6 Dif ([trust-ok] of self)/ {6 K& n; W" o* V' g% ]$ y
;;
根据ij的信任度来决定是否与j进行交易[
3 M8 }3 Y% @6 {8 H5 G. z8 Eask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself' W! O& w2 F8 F& u, D/ M) A% i, D6 Q' Y
: e; m% t- W- r: Z4 J; |, _4 H- r0 a/ Y
[

$ ~: o5 f9 _. \! x( T# ]6 W  A, u" {9 J) L4 c% P
do-trade

0 F5 I7 Q, c$ l; A/ f
2 |6 ?0 [1 z1 m2 Wupdate-credibility-ijl

$ g, q/ G- x$ l9 F2 e/ m, M2 C- b) K' K. x1 {: V
update-credibility-list
; e& X5 O+ b' Y6 z

9 j2 G' |. E  D: O. v. U+ W
/ Z3 z0 h6 G% \  D& P" n2 Eupdate-global-reputation-list
( V& w; U3 X- c$ \* N

) o) S& D7 [: Xpoll-class

, ]" A, p% l, P5 |) j8 Z
$ u$ X( _+ v0 V5 m) f+ k6 q7 eget-color
4 U9 Z4 Q" }' _0 C% K5 {% \5 `

$ c  u% h4 m, M% p; a]]
* ^5 i7 {  o, [! H
+ ^+ _$ a0 e/ n;;
如果所得的信任度满足条件,则进行交易
, V! |3 m, W$ X, B9 W2 F- Q1 V4 `: o3 W1 q; p1 K# S
[

' H0 y( T; Z5 o. u/ f, L+ W- H- e( }4 ^5 |
rt random 360
! y8 _' F# V5 F  C. c6 p0 _% K3 u

6 U+ U1 u' B& ^: P2 m; bfd 1
3 K) i/ f/ N' s9 Y/ i/ P

7 z3 e. J" [# I' T]

9 k/ t1 ]& D( g, l6 c8 Y6 l0 x* b0 F+ }- V: D, e  \
end

5 T7 L' {* z$ Q# d2 y
' i/ z; ?& p* uto do-trust 6 M. Z9 l2 y+ i4 C1 b
set trust-ok False3 o) t% h) t6 B

' \+ ?1 W3 V* C7 Y

+ L4 Y' B4 w) dlet max-trade-times 06 U; p- n+ I' g( N" {
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]- r' s" [/ T% a& V/ p/ o5 t% b
let max-trade-money 0! Y, e8 w9 ]* l  @+ c
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( ^4 Y! l+ S) M- [) X0 H, V
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
- r( f; Q; N# }8 J: J4 T
) ?0 Y! q. E2 ^6 }. F/ m& C6 ^
! Q' Y6 q4 D; e0 V
get-global-proportion- H! a" @8 c6 v" e9 w* A7 v) {: n
let trust-value
% \: w* l1 X& a+ T* wlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
1 ^- h9 L! y! U) f& T/ U3 E  f( p  c
if(trust-value > trade-trust-value)- A* @% _6 b! d1 ?
[set trust-ok true]  n+ ^6 R' S3 b3 m
end# D$ U# C. B1 G: }! h. K
- W& A6 `9 u/ N" \$ g+ N
to get-global-proportion
. i$ C% ^! s: M1 S/ w1 @ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 Q& p2 s# T* J, b: O& X. o[set global-proportion 0]- T* I" U' d; O. h7 l$ H
[let i 0
" o' Y' r, V4 w# x( i2 h1 vlet sum-money 0
) f  U# T) r8 t7 }1 a; ?9 |while[ i < people]3 d2 G( X, ~: P- Y, v+ A" N
[
6 _8 p- D3 c, `if( length (item i+ I, f* ^2 ]( t. [- U
[trade-record-all] of customer) > 3 )

+ H- Z% N4 b5 ^* d& @9 Z, p& S) Y[# W  k, C, b2 S, e8 K( Y
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))% L0 N- ^( \6 x4 [4 ^- }
]6 K' [$ O2 C2 y& J# Q5 F
]* g  {# r; K0 J# N- e- d6 F
let j 0
. d. i$ [: E  @; ]  f" l8 d/ tlet note 0
8 q+ I4 Y! B+ W2 }1 owhile[ j < people]
' z( W/ Y( R9 J& H* D/ j[
7 U* Y* E2 {3 N$ d: k8 @- e8 Wif( length (item i* W, W/ V7 _  l$ \/ c+ Z* K% L5 g
[trade-record-all] of customer) > 3 )

: f2 @5 o9 _5 ^' u5 B8 |6 R[& D9 |/ ]2 z* V5 G+ z) j0 m6 s
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
# ^8 t* A: b) i6 e8 u[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]- K; R) T  |, o0 R
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
. @) u, o& C" J2 X( V  s]8 M* b, e& _+ q
]
1 |; e, {' j& Pset global-proportion note
$ q# v! E# L  ~( d]2 Q  L& H: C) C$ W1 p
end& @6 `6 q3 p$ w5 c- z

4 e* l4 y9 `; X' o0 [9 ~to do-trade- C* X  P# V8 B! H! P- ]0 K- A
;;
这个过程实际上是给双方作出评价的过程4 I( v: C* R+ C- |5 b( u
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价$ [) G0 ?* M& F
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价) \3 m) E& d5 Z2 m: b+ k
set trade-record-current lput(timer) trade-record-current
$ i  B- q9 p3 N3 a) s: L' ];;
评价时间7 C4 c; d3 A0 `) _1 D# s; g* q( ?
ask myself [
  r4 ^7 W0 ], V; m2 ]% w% Mupdate-local-reputation
8 I& b# E) t/ {3 }& [set trade-record-current lput([local-reputation] of myself) trade-record-current
0 u* W  D9 T5 C]' ]$ b# n" l  p/ Y4 E
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
* n) }& {! y/ A/ r: T;;
将此次交易的记录加入到trade-record-one
0 w9 ?1 i  {. B& N% \7 Fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
4 D, K. B. `3 T) ^* E# Slet note (item 2 trade-record-current )  X7 @+ ?6 _2 F0 o0 c
set trade-record-current# @1 c+ u* Y0 l! X
(replace-item 2 trade-record-current (item 3 trade-record-current))

! ]9 h  h$ t. L, u1 H3 Wset trade-record-current
% v( r2 S3 ^6 [. j(replace-item 3 trade-record-current note)5 Q& O; L$ P/ _  H& m4 W+ _
8 {" H. p0 W, p. `; t

4 T5 N/ r5 V7 Fask customer [
( V) K$ z0 E; E7 p  u3 |update-local-reputation  y% L" A; Z2 A/ P( x/ O
set trade-record-current
! Q/ C! k' ^( w$ D# H& N& E4 u(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

3 q# o9 \: u. _. N/ S: l]" R' K. X, R( z* ?, f6 x4 C# {/ R
- X  l8 J& z2 `* ^

  X' O; F8 L, A. \" M9 ^; Wset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
9 Q0 H8 D8 K% L6 A# T, Q& e. [3 O
0 A/ N; h0 ]" {& q2 ]1 F6 o% @
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
6 Y; p! s2 G; s$ c- v( r6 J;;
将此次交易的记录加入到customertrade-record-all% _& }9 k/ J, I; p# I& U5 g- W
end2 Z4 R% O5 G$ [/ P
( `2 C: B% g% v/ ^% t
to update-local-reputation/ M6 v; |. W4 e& T% a% w5 q
set [trade-record-one-len] of myself length [trade-record-one] of myself
0 A$ [: }1 l) [2 V& U7 l0 S0 t
5 P% G' z+ y6 m7 A* l1 f
9 P$ A& T, w! @$ v( j  _6 E;;if [trade-record-one-len] of myself > 3
; m& B) m6 F' Z; P- G) k5 \
update-neighbor-total7 t. K9 k: _, [. `8 F8 x
;;
更新邻居节点的数目,在此进行
! l# n$ y* k* S! t& }( e& Q: `let i 3' R& p' b, k3 W& B# f" M" O
let sum-time 0; d( w9 s  O* ]. Q/ v3 a' f
while[i < [trade-record-one-len] of myself]! l' r- \) U% p- |) m$ x2 f, p
[& q7 T% p8 }  u( h, b
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )8 a& U  ], Y. `
set i8 V" X# l7 y% f5 y* b& M, Q/ K& c
( i + 1)

8 w, ?+ t7 ^( q]. U: p. e* E% Z9 P. f
let j 3
0 B4 F, B7 s* Z1 Zlet sum-money 0
5 Z$ l) p  `+ a0 k" X7 Qwhile[j < [trade-record-one-len] of myself]
' x. d" B" t/ i. J+ S" C& j[8 r! G  a, h" }$ N# 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)6 B" d6 c4 `* f
set j
3 T7 j% p  z& O. n- i! o( j + 1)
& e  A% P; Y# x$ w% N
]
: E' {- [; l; W1 E0 rlet k 3- F0 U6 A- R& e
let power 0
% _* g, u  n: E! I% r4 R9 nlet local 0
, V( ^5 G$ D* mwhile [k <[trade-record-one-len] of myself]
) D+ J, g" f1 L5 s[, r) q( D, x# o; e/ G5 m) t
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)
7 l1 \( {% |( r$ `set k (k + 1)/ d5 q* U! P+ M; a; N  @
]( G8 H, q7 H& R1 Z. i! l) e# @
set [local-reputation] of myself (local)
" [6 d3 l+ ~( ~end
1 u$ C2 {3 y( c0 X
: N0 u- l6 Q7 P% ?  Bto update-neighbor-total+ Y0 @3 u& L, W$ z8 D

& f  [, ^8 E2 qif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
2 e; p4 k5 s3 v, q" E9 S. c; a; b0 K
9 i2 {( J6 n2 w0 C3 w+ c1 `
; y' J: k" B1 ^! x) o
end
( r; B; U, S2 L1 s
( t2 ^( T$ F0 I  Pto update-credibility-ijl
1 i8 t1 g/ l3 C& Y- e4 ]+ d) I( t* T. a2 s$ e
;;
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。
+ |7 w( ^# n8 K( X. F! flet l 0
5 M; Y  m3 l4 s0 Q) u9 {: owhile[ l < people ]+ e. c0 @0 a7 _3 k" j
;;
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
+ i- N$ s" A: c/ s1 `- y[
. t1 N9 k$ C4 Y& w' t- W3 hlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
' m2 k! |# z& uif (trade-record-one-j-l-len > 3); @  }$ [: Z8 }5 Y
[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-one7 c2 f2 W# h1 [6 |! c- k
let i 3
: I. p7 f3 w. e1 D# _6 V3 Clet sum-time 08 O# ~# v2 {1 B$ l
while[i < trade-record-one-len]! [- ]6 m" ?3 O  ^/ E
[
* M1 A) {* Q6 L4 U' Bset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ); @7 B8 H% _: B: q$ z1 Q) s
set i
0 e& I; a% q9 G* u$ P( i + 1)
4 y, R2 m+ S$ Z7 G5 T5 i
]' H/ ~6 y1 p# l* a' a0 p
let credibility-i-j-l 0. i7 c4 U: G: M  e  W! ]1 H1 n
;;i
评价(jjl的评价)$ B; f  |" v! d. p# f2 T7 Q4 t
let j 3
- G# o* Y& P3 c0 h0 R9 Xlet k 4" F+ r: o8 Q2 P0 K0 J2 U& r$ K
while[j < trade-record-one-len]
2 ?: ~: o$ v- q! p5 V- k[
$ y8 H4 w2 L+ j! Owhile [((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
; h* e: t5 Q' j1 D1 i+ dset 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)% {3 Q, R7 T, ?& L5 _
set j
$ ^$ r% \( h9 ]- h+ N4 z, z' h( j + 1)

) l7 {- o! s( m+ j5 x. []% L( A; g4 f. W! A# b8 i7 v; R7 S# z
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 ))# o' m- g5 J4 k5 W! G* q
# p- f+ r: C" F* d0 ]9 |8 D/ c1 \

9 \" z6 c7 v/ G3 T$ _$ k  vlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
8 |9 q' b; b, F. d;;
及时更新il的评价质量的评价2 R4 i1 X+ w1 p1 f2 L2 T
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
$ A- \0 w' ]. fset l (l + 1)9 o7 B+ P( m5 l* \: R" L# j  \
]
5 W, B+ _" V  f7 Oend
0 g9 U# j' A) P
9 D& d; r9 k& Sto update-credibility-list
; ~- k4 G8 Z; t( qlet i 0
! ^0 j9 }( i7 v5 z2 @* Jwhile[i < people]
8 w2 x+ e' J7 W! _" ^: t3 E$ b[5 P0 p1 R7 m& E# v( S) i6 n0 S! E
let j 0
( M$ u! t9 H9 C( ]* [. Hlet note 0
1 K) d8 E: [- N4 Q( J  Plet k 06 M4 d5 m2 y. |( V2 C
;;
计作出过评价的邻居节点的数目: B  _4 L& Z# n' M, Q- d* s
while[j < people]6 T% J5 c& H! _  `5 t
[
4 U$ S9 G6 Z6 q; rif (item j( [credibility] of turtle (i + 1)) != -1)4 T2 \3 i. f4 r% ?3 `6 m$ t
;;
判断是否给本turtle的评价质量做出过评价的节点
" z$ V- @( X6 _[set note (note + item j ([credibility]of turtle (i + 1)))
/ R* j' q. T: F( k% _;;*(exp (-(people - 2)))/(people - 2))]

6 |4 f8 @7 X% R" \2 zset k (k + 1)
1 g. A$ I! r  r0 I" Y1 u; o]0 a( j3 E: w& A$ I) c
set j (j + 1)* S  j& L# R4 x* V" S) v5 Y$ P
]
: G$ E0 ]  G9 Z% q9 L, Iset note (note *(exp (- (1 / k)))/ k)1 O. [# v! r* `' ~; s% K% l2 K9 }
set credibility-list (replace-item i credibility-list note)6 P& l* n  ]8 f, f. [# [! F1 ^
set i (i + 1)
5 u+ h0 \7 I# p; A  }; a8 }]
% R  c; ]4 d, q# R; J0 mend" {3 D2 b+ i3 a; e4 S

: N/ {' Z/ l# S% s0 e: xto update-global-reputation-list
# L3 m! v! i# D" Mlet j 0+ @: _8 x7 D) I9 C8 t7 O. @
while[j < people]
( `! a# ^+ ^; A[
( K9 m' |2 k# x5 Q  t3 G. xlet new 0* S  W9 F5 Q9 c. ?! k) D) }( y
;;
暂存新的一个全局声誉: t3 B; n+ A- E9 u! \. l. R8 T0 R
let i 0
7 B: D' l+ q/ R- h& hlet sum-money 05 e4 ]% a3 i0 t. W* {. p+ Y
let credibility-money 0/ m3 W6 s! f. q; z+ n: Z# M
while [i < people]
) C. t# I0 P' C% y( [; }[
3 u" Q0 `0 i6 h* O7 `  _& w3 lset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))$ x9 V- h* P* V; ]
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))" e2 P. A8 e8 V7 D# g
set i (i + 1)9 W8 [; `3 w+ i. Z3 D+ O) H
]
. S! i% J) [  W, Y: s( K5 Mlet k 0
3 G6 X, s6 }4 |1 E& b* J" Klet new1 0" ]& p8 \. M6 E5 D, h. p
while [k < people]
& K3 f1 I5 L! G2 p  Q[$ M* g2 [# j# t9 C# t8 p
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)
5 l8 k$ |$ O$ d) M$ d& Z) x# rset k (k + 1)" M" ]: q$ k" p2 N+ R) \9 q1 u2 t
], e8 K" ?1 j1 ~7 ?! S/ F
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
7 ^" D7 r7 t* ^. |; S0 s3 X. Rset global-reputation-list (replace-item j global-reputation-list new)+ M1 ?3 x/ P" K7 a8 A! V
set j (j + 1)
7 p; ~* x5 S9 J]; V1 M3 Q, h$ t: ^
end! _0 X, `0 X2 U& f
; Z- |5 m: ]$ i6 s6 g1 \
. t9 @. b: E! i# y5 ]- {
6 `0 V4 _/ ?$ m9 X+ G  G) H) |
to get-color
: h+ j4 p& g, f2 `& `, f' U* i
' d% N5 d2 g' j- wset color blue
* ~: e' f5 Z" t* e$ B
end
4 r2 V9 _' k8 W' N0 R
. G" i7 p  d/ Fto poll-class
" {% c, `& y' O& c- M( gend
, @- \- m  M0 g" W1 F+ s1 ~  `2 ?2 L% h5 A
to setup-plot1
) d9 G( s4 I1 H5 ]$ a) u* q1 S
7 E  w$ Z1 e  d% e$ zset-current-plot "Trends-of-Local-reputation"

9 O9 ^' c8 Y$ b- t$ i, M9 D  ~2 s+ [9 W2 @! S# o' m
set-plot-x-range 0 xmax

( s* I5 c, k( y& E# h- u, g+ ?# a- S
set-plot-y-range 0.0 ymax

  s1 W; A) H) P; ]* Y" xend
  C% X( P  I! C- E# `# \5 m" x+ ^* ], d+ Q3 j, Z7 a
to setup-plot24 O% C4 W2 Q9 K1 A4 O$ i: ]- K

- f& j; X6 M2 j  d1 Oset-current-plot "Trends-of-global-reputation"
2 Z; |# l- {0 s& [1 F

+ t: U) L) k/ z* Hset-plot-x-range 0 xmax

+ Z9 N( _  u2 I% a6 F
5 q7 `, e' Y4 _/ s2 n) eset-plot-y-range 0.0 ymax

* _% N0 M* \/ oend; q( }9 Z% N+ u7 \
" Q/ ^9 W; e+ q  ?, c; u# ^' m
to setup-plot3
! P! Z1 Z8 v! |& p" j: L
9 x/ I' U2 H1 S; {  T% t/ jset-current-plot "Trends-of-credibility"

, X: M( s9 E% ^' }
3 E/ w6 i4 j: M+ \3 D; C' Cset-plot-x-range 0 xmax

+ M" X- I7 C0 R; q* K5 V- l0 Z' F6 v% O: [$ r# n0 e
set-plot-y-range 0.0 ymax
( I7 u* z. u$ i
end# t4 i* _8 w+ S: L& L" p' g2 I4 b/ @

0 ?4 \+ Z, M; l, \0 z- u! |to do-plots! R8 _6 l% u5 z1 N9 Z. D
set-current-plot "Trends-of-Local-reputation"# x" p: m% J. |2 M* S* A0 Q8 g
set-current-plot-pen "Honest service"6 N" c1 G4 K$ k2 R6 f$ q
end
( {2 ~9 |" X( ]) s  h) r  |& b5 h- c7 ^+ f) X2 }" q3 B+ K5 {# a
[ 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.
7 ^% _* \; N1 r: N4 V# A) e  V, B7 }5 U3 ?
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, 2026-9-7 01:05 , Processed in 0.020926 second(s), 17 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表