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RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR
RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR
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------=_NextPart_01C68EDB.C99190A0
Content-Location: file:///C:/978A9931/Church1_files/slide0073.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"
PowerPoint Presentation
------=_NextPart_01C68EDB.C99190A0
Content-Location: file:///C:/978A9931/Church1_files/slide0081.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"
PowerPoint Presentation
(1) Pattern
(2) Rate
(3) Bouts
------=_NextPart_01C68EDB.C99190A0
Content-Location: file:///C:/978A9931/Church1_files/slide0124.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"
PowerPoint Presentation
------=_NextPart_01C68EDB.C99190A0
Content-Location: file:///C:/978A9931/Church1_files/slide0122.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"
PowerPoint Presentation
------=_NextPart_01C68EDB.C99190A0
Content-Location: file:///C:/978A9931/Church1_files/master01.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"
numSlds )
gSldJumpIdx =3D numSlds;
if ( gSldJumpIdx >=3D 0 ) {
if ( gSldJumpIdx =3D=3D 0 )
gSldJumpIdx =3D 1;
var jumpTo =3D parseInt(gSldJumpIdx);
gSldJump =3D 0; gSldJumpIdx =3D "";
win.GoToSld( parent.GetSldList().mList[jumpTo-1].mSldHref )
}
}
}
function _KDH()
{
if( event.keyCode =3D=3D 8 ) {
event.returnValue =3D 0;
parent.GoToPrevSld();
}
}
var g_OnMouseOver =3D 0, g_HideWhenNotPlaying =3D 0;
function StopMedia( szName )
{
if ( !g_animUseRuntime ) {
rMovie =3D document.all.item( szName );
rDiv =3D rMovie.parentElement;
rDiv.style.visibility =3D g_HideWhenNotPlaying ? "hidden" : "visible";
rMovie.style.visibility =3D "hidden";
if( g_animManager !=3D null ) {
g_animManager.m_isPlaying =3D 0;
g_animManager.Peek();
g_curAnim =3D null;
}
}
}
function PlayMedia( szName )
{
if ( !g_animUseRuntime ) {
rMovie =3D document.all.item( szName );
rMovie.style.visibility =3D "visible";
rMovie.Run();
if( g_animManager !=3D null )
g_animManager.m_isPlaying =3D 1;
}
}
function DocumentOnClick()
{
if( IsNts() || parent.HideMenu() ) return;
if( ( g_allowAdvOnClick && (window.name=3D=3D"PPTSld") && !parent.IsFrames=
Mode() ) ||
(event && event.keyCode=3D=3D32) ) {
=09
if( g_animUseRuntime && g_animMainSequence && g_animMainSequence.cangonex=
t )
return;
parent.GoToNextSld();
}
}
var g_supportsPPTHTML =3D SupportsPPTHTML(), g_scaleInFrame =3D 1, gId=3D""=
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g_scaleHyperlinks =3D false, g_allowAdvOnClick =3D 1, g_showInBrowser =
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var g_showAnimation =3D g_supportsPPTHTML && SupportsPPTAnimation() && ( (w=
indow.name=3D=3D"PPTSld" && !parent.IsFramesMode()) || g_showInBrowser );va=
r g_animManager =3D null;
var g_animUseRuntime =3D false;
var g_animItemsToHide, g_animInteractiveItems, g_animSlideTime;
var g_animMainSequence =3D null;
var ENDSHOW_MESG=3D"End of slide show, click to exit.", SCREEN_MODE=3D"Fram=
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HREF=3D"fullscreen.htm";
var gCurSld =3D gPrevSld =3D 1, g_offset =3D 0, gNtsOpen =3D gHasNts =3D gO=
tlTxtExp =3D 0, gHasNarration =3D 0, gOtlOpen =3D true
window.gPPTHTML=3DSupportsPPTHTML()
var gMainDoc=3Dnew Array(new hrefList("slide0001.htm",1,-1,1),new hrefList(=
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slide0092.htm",1,-1,1),new hrefList("slide0021.htm",1,-1,1),new hrefList("s=
lide0010.htm",1,-1,1),new hrefList("slide0099.htm",1,-1,1),new hrefList("sl=
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de0070.htm",1,-1,1),new hrefList("slide0100.htm",1,-1,1),new hrefList("slid=
e0020.htm",1,-1,1),new hrefList("slide0072.htm",1,-1,1),new hrefList("slide=
0017.htm",1,-1,1),new hrefList("slide0018.htm",1,-1,1),new hrefList("slide0=
120.htm",1,-1,1),new hrefList("slide0090.htm",1,-1,1),new hrefList("slide01=
25.htm",1,-1,1),new hrefList("slide0094.htm",1,-1,1),new hrefList("slide010=
6.htm",1,-1,1),new hrefList("slide0107.htm",1,-1,1),new hrefList("slide0108=
.htm",1,-1,1),new hrefList("slide0109.htm",1,-1,1),new hrefList("slide0110.=
htm",1,-1,1),new hrefList("slide0111.htm",1,-1,1),new hrefList("slide0071.h=
tm",1,-1,1),new hrefList("slide0087.htm",1,-1,1),new hrefList("slide0134.ht=
m",1,-1,1),new hrefList("slide0104.htm",1,-1,1),new hrefList("slide0084.htm=
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,1,-1,1),new hrefList("slide0119.htm",1,-1,1),new hrefList("slide0135.htm",=
1,-1,1),new hrefList("slide0149.htm",1,-1,1),new hrefList("slide0132.htm",1=
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-1,1),new hrefList("slide0145.htm",1,-1,1),new hrefList("slide0146.htm",1,-=
1,1),new hrefList("slide0147.htm",1,-1,1),new hrefList("slide0148.htm",1,-1=
,1),new hrefList("slide0096.htm",1,-1,1),new hrefList("slide0025.htm",1,-1,=
1),new hrefList("slide0088.htm",1,-1,1),new hrefList("slide0074.htm",1,-1,1=
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,new hrefList("slide0081.htm",1,-1,1),new hrefList("slide0124.htm",1,-1,1),=
new hrefList("slide0122.htm",1,-1,1));
/*********************************************
Frameset functions
These functions control slide navigation
and state of the frameset.
**********************************************/
function FullScrInit()
{
g_allowAdvOnClick =3D GetCurSld().mAdvOnClk
document.body.style.backgroundColor=3D"black"
document.oncontextmenu=3Dparent._CM;
document.onkeydown =3D _KDH;
document.ondragstart=3DCancel
document.onselectstart=3DCancel
self.focus()
}
function Redirect( frmId )
{=09
var str=3Ddocument.location.hash,idx=3Dstr.indexOf('#'), sId=3DGetSldId()
if(idx>=3D0) str=3Dstr.substr(1);
if( window.name !=3D frmId && ( sId !=3D str) ) {
obj =3D GetObj("Main-File")
window.location.href=3Dobj.href+"#"+sId
return 1
}
return 0
}
var MHTMLPrefix =3D CalculateMHTMLPrefix();=20
function CalculateMHTMLPrefix()
{
if ( document.location.protocol =3D=3D 'mhtml:') {=20
href=3Dnew String(document.location.href)=20
Start=3Dhref.indexOf('!')+1=20
End=3Dhref.lastIndexOf('/')+1=20
if (End < Start)=20
return href.substring(0, Start)=20
else=20
return href.substring(0, End)=20
}
return '';
}
function GetTags(base,tag)
{
if(g_supportsPPTHTML) return base.all.tags(tag);
else return base.getElementsByTagName(tag);
}
function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP=
refix+GetHrefObj( gCurSld ).mNtsHref ) }
function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() }
function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() }
function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() }
function SetHasNts( fVal )
{
if( gHasNts !=3D fVal ) {
gHasNts=3DfVal
UpdNavPane()
}
}
function ToggleOtlText()
{
gOtlTxtExp=3D!gOtlTxtExp
UpdOtlPane()
}
function ClearMedia()
{
// Clear any sounds playing before launching another browser window. Other=
wise,
// in fullscreen mode, you'll continue to hear the sound in the frames mod=
e.
if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0;
}
function FullScreen()
{=20
if ( PPTSld.g_animUseRuntime )
PPTSld.document.body.pause();
ClearMedia();
var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF =
: FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref;
if(PPTNav.event.ctrlKey) {
var w =3D (window.screen.availWidth * 1.0) / 2.0
var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW
win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top=
=3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h );
if( win.document.body && PPTSld.g_animUseRuntime )
win.document.body.PPTSldFrameset=3Dwindow;
}
else
{
win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" );
if( win.document.body && PPTSld.g_animUseRuntime )
win.document.body.PPTSldFrameset=3Dwindow;
}
}
function ToggleVNarration()
{
rObj=3DPPTSld.document.all("NSPlay")
if( rObj && !PPTSld.g_animUseRuntime ) {
if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) )
rObj.Play()
else if( rObj.playState =3D=3D 2 )
rObj.Pause()
else
return;
}
else if( PPTSld.g_animUseRuntime )
{
narObj =3D PPTSld.document.all("narrationID")
if( narObj )
narObj.togglePause()
}
}
function GetCurSldNum()
{ =20
obj=3DGetHrefObj(gCurSld)
if( obj.mOrigVis =3D=3D 1 )
return obj.mSldIdx
else =20
return gCurSld
}
function GetNumSlds()
{ =20
if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 )
return GetSldList().mNumVisSlds;
else
return GetSldList().mList.length
}
function GetSldNum( href )
{
for(ii=3D0; ii 1 )
PopSldList();
else if( !IsFramesMode() ) {
if( gLoopCont )
GoToFirst()
else
EndShow()
}
}
function GoToPrevSld()
{
ii=3DgCurSld-1
if( ii > 0 ) {
obj=3DGetHrefObj(ii)
while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) )
obj=3DGetHrefObj(--ii)
if( ii =3D=3D 0 ) ii=3D1
GoToSldNum(ii)
}
}
function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) }
function GoToLast()
{
ii=3DGetSldList().mList.length
if( ii !=3D gCurSld )
GoToSld( GetHrefObj(ii).mSldHref )
}
function GoToSldNum( num )
{
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
obj =3D GetHrefObj( num )
obj.mVis=3D1
gPrevSld=3DgCurSld
gCurSld =3D num;
PPTSld.location.replace(MHTMLPrefix+obj.mSldHref)
if( IsFramesMode() ) {
UpdNavPane(); UpdOtlPane(); UpdNtsPane()
}
}
function GoToSld( href )
{
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
GetHrefObj( GetSldNum(href) ).mVis=3D1
PPTSld.location.replace(MHTMLPrefix+href)
}
function SldUpdated( id )
{
if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return
gPrevSld=3DgCurSld
gCurSld=3DGetSldNum(id)
if( IsFramesMode() ) {
UpdNavPane(); UpdOtlPane(); UpdNtsPane()
}
}
function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) }
function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO=
bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) }
function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) }
function CloseWindow() {
if( HideMenu() ) return;
=09
var event =3D PPTSld.event;
if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D=
=3D32 || event.type=3D=3D"click" ) )
window.close( self );
CatchNumKeys( self, event );
}
function Unload() { gIsEndShow=3D0; }
function SetupEndShow() {
gIsEndShow=3D1;
PPTSld.document.body.scroll=3D"no";
PPTSld.document.onkeypress=3DCloseWindow;
PPTSld.document.onclick=3DCloseWindow;
PPTSld.document.oncontextmenu=3D_CM;
}
function EndShow()
{
if( IsFramesMode() ) return
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
doc=3DPPTSld.document
var dir =3D doc.body.dir
if( dir !=3D "rtl" ) dir =3D "ltr";
doc.open()
doc.writeln(' 0) {
PushSldList(sldList,fEnd);
gCurSld =3D 1;
}
else
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
}
function PushSldList(arr,fEnd) {
var ii =3D gSldStack.length;
gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd);
GoToSld( gSldStack[ii].mList[0].mSldHref );
}
function PopSldList() {
if (gSldStack[gSldStack.length-1].fEndShow)
EndShow()
else {
gCurSld =3D gSldStack[gSldStack.length-1].mCurSld;
gSldStack[gSldStack.length-1] =3D null;
gSldStack.length--;
var sldList =3D gSldStack[gSldStack.length-1];
GoToSld( sldList.mList[gCurSld - 1].mSldHref );
}
}
var custShowList=3Dnew Array();
/*********************************************
Navigation button implementation
There are 2 types of buttons: ImgBtn, TxtBtn
implemented as function objects. They share
a similiar interface so the event handlers
can call SetActive, for example, on a button=20
object without needing to know exactly=20
what type of button it is.
**********************************************/
//----------------------------------
function ImgBtn( oId,bId,w,action )
//----------------------------------
{
var t=3Dthis
t.Perform =3D _IBP
t.SetActive =3D _IBSetA
t.SetInactive=3D _IBSetI
t.SetPressed =3D _IBSetP
t.SetDisabled=3D _IBSetD
t.Enabled =3D _IBSetE
t.ChangeIcon =3D null
t.UserAction =3D action
t.ChgState =3D _IBUI
t.mObjId =3D oId
t.mBorderId=3D bId
t.mWidth =3D w
t.mIsOn =3D t.mCurState =3D 0
}
function _IBSetA()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 )
obj.style.posTop=3D0
}
}
function _IBSetI()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 )
obj.style.posTop=3D0=20
}
}
function _IBSetP()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 )
obj.style.posLeft+=3D1; obj.style.posTop+=3D1
}
}
function _IBSetD()
{ =20
obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 )
obj.style.posTop=3D0=20
}
function _IBSetE( state )
{
var t=3Dthis
GetObj( t.mBorderId ).style.visibility=3D"visible"
if( state !=3D t.mIsOn ) {
t.mIsOn=3Dstate
if( state )
t.SetInactive()
else
t.SetDisabled()
}
}
function _IBP()
{
var t=3Dthis
if( t.mIsOn ) {
if( t.UserAction !=3D null )
t.UserAction()
if( t.ChangeIcon ) {
obj=3DGetObj(t.mObjId)
if( t.ChangeIcon() )
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth
else
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth
}
t.SetActive()
} =20
}
function _IBUI( clr1,clr2,nextState )
{
var t=3Dthis
SetBorder( GetObj( t.mBorderId ),clr1,clr2 )
obj=3DGetObj( t.mObjId )
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj=
.style.posTop
t.mCurState=3DnextState
return obj
}
//-----------------------------------------
function TxtBtn( oId,oeId,action,chkState )
//-----------------------------------------
{
var t=3Dthis
t.Perform =3D _TBP
t.SetActive =3D _TBSetA
t.SetInactive=3D _TBSetI
t.SetPressed =3D _TBSetP
t.SetDisabled=3D _TBSetD
t.SetEnabled =3D _TBSetE
t.GetState =3D chkState
t.UserAction =3D action
t.ChgState =3D _TBUI
t.mObjId =3D oId
t.m_elementsId=3D oeId
t.mIsOn =3D 1
}
function _TBSetA()
{
var t=3Dthis
if( t.mIsOn && !t.GetState() )
t.ChgState( gHiliteClr,gShadowClr,0,0 )
}
function _TBSetI()
{
var t=3Dthis
if( t.mIsOn && !t.GetState() )
t.ChgState( gFaceClr,gFaceClr,0,0 )
}
function _TBSetP()
{
if( this.mIsOn )
this.ChgState( gShadowClr,gHiliteClr,1,1 )
}
function _TBSetD()
{ =20
this.ChgState( gFaceClr,gFaceClr,0,0 )
this.mIsOn =3D 0
}
function _TBSetE()
{
var t=3Dthis
if( !t.GetState() )
t.ChgState( gFaceClr,gFaceClr,0,0 )
else
t.ChgState( gShadowClr,gHiliteClr,1,1 )
t.mIsOn =3D 1
}
function _TBP()
{
var t=3Dthis
if( t.mIsOn ) {=20
if( t.UserAction !=3D null )
t.UserAction()
if( !t.GetState )
return
if( t.GetState() )
t.SetPressed()
else
t.SetActive()
} =20
}
function _TBUI( clr1,clr2,lOffset,tOffset )
{
SetBorder( GetObj( this.mObjId ),clr1,clr2 )
Offset( GetObj( this.m_elementsId ),lOffset,tOffset )
}
function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle=
ft }
function SetBorder( obj, upperLeft, lowerRight )
{
s=3Dobj.style;
s.borderStyle =3D "solid"
s.borderWidth =3D 1=20
s.borderLeftColor =3D s.borderTopColor =3D upperLeft
s.borderBottomColor=3D s.borderRightColor =3D lowerRight
}
function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] }
function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() }
function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() }
function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() }
function BtnOnUp()
{
b=3DGetBtnObj()
if( b !=3D null )
b.Perform()
else
Upd()
}
function GetNtsState(){ return parent.gNtsOpen }
function GetOtlState(){ return parent.gOtlOpen }
function GetOtlTxtState(){ return parent.gOtlTxtExp }
function NtsBtnSetFlag( fVal )
{
s=3Ddocument.all.item( this.m_flagId ).style
s.display=3D"none"
if( fVal )
s.display=3D""
else
s.display=3D"none"
}
function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etActive() }
function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etInactive() }
function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etPressed() }
function _BSetA_BorderImg()
{=20
b =3D gBtnArr[this.mBorderId]=20
if( b !=3D null && this.mIsOn && !b.GetState() ) {
obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 )
obj.style.posTop=3D0
}
}
function _BSetI_BorderImg()
{=20
b =3D gBtnArr[this.mBorderId]
if( b !=3D null && this.mIsOn && !b.GetState() ) {
obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 )
obj.style.posTop=3D0
}
}
var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"=
THREEDFACE"
var gBtnArr =3D new Array()
gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan=
e,GetOtlState )
gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt=
lPane,GetOtlState )
gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN=
tsPane )
gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg;
gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg;
gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.=
ToggleNtsPane,GetNtsState )
gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To=
ggleNtsPane,GetNtsState )
gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n=
b_prevBorder",30,parent.GoToPrevSld )
gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n=
b_nextBorder",30,parent.GoToNextSld )
gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent=
.FullScreen )
gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa=
rent.FullScreen,null )
gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border;
gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border;
gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent=
.FullScreen,null )
gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border;
gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border;
gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice=
","nb_voiceBorder",18,parent.ToggleVNarration )
gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT=
xt","nb_otlTxtBorder",23,parent.ToggleOtlText )
gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts"
gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag
gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState
/*********************************************
Context menu implementation
_CM() is the function that's hooked up to
the oncontextmenu event. Once we're asked to
show the menu, we first build it by creating
DIVs on-the-fly. Then we position it=20
within the screen area so it doesn't get
clipped.
Creating the DIVs using createElement() means
we don't have to write out any extra HTML
into the slide HTML files.
**********************************************/
var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr=
row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval"
function ShowMenu()
{
BuildMenu();
var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y=
=3DPPTSld.event.clientY+doc.scrollTop
m =3D PPTSld.document.all.item("ctxtmenu")
m.style.pixelLeft=3Dx
if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) )
m.style.pixelLeft=3Dx-m.scrollWidth
m.style.pixelTop=3Dy
if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) )
m.style.pixelTop=3Dy-m.scrollHeight
m.style.display=3D""
}
function _CM()
{
if( !parent.IsFullScrMode() ) return;
if(!PPTSld.event.ctrlKey) {
ShowMenu()
return false
} else
HideMenu()
}
function BuildMenu()
{
if( PPTSld.document.all.item("ctxtmenu") ) return
var mObj=3DCreateItem( PPTSld.document.body )
mObj.id=3D"ctxtmenu"
mObj.style.visibility=3D"hidden"
var s=3DmObj.style
s.position=3D"absolute"
s.cursor=3D"default"
s.width=3D"120px"
SetCMBorder(mObj,"menu","black")
var iObj=3DCreateItem( mObj )
SetCMBorder( iObj, "threedhighlight","threedshadow" )
iObj.style.padding=3D2
CreateMenuItem( iObj,sNext,M_GoNextSld,M_True )
CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld )
=09
CreateSeparator( iObj )
CreateMenuItem( iObj,sEnd,M_End,M_True )
mObj.style.visibility=3D"visible"
}
function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa=
lue=3Dfalse }
function Highlight() { ChangeClr("activecaption","threedhighlight") }
function Deselect() { ChangeClr("threedface","menutext") }
function Perform()
{
e=3DPPTSld.event.srcElement
if( e.type=3D=3D"menuitem" && e.IsActive() )
e.Action()
else
PPTSld.event.cancelBubble=3Dtrue
}
function ChangeClr( bg,clr )
{
e=3DPPTSld.event.srcElement
if( e.type=3D=3D"menuitem" && e.IsActive() ) {
e.style.backgroundColor=3Dbg
e.style.color=3Dclr
}
}
function M_HasPrevSld() { return( parent.HasPrevSld() ) }
function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() }
function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();=
PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() }
function M_True() { return true }
function M_End() { window.close( self ) }
function CreateMenuItem( node,text,action,eval )
{
var e=3DCreateItem( node )
e.type=3D"menuitem"
e.Action=3Daction
e.IsActive=3Deval
e.innerHTML=3Dtext
if( !e.IsActive() )
e.style.color=3D"threedshadow"
e.onclick=3DPerform
e.onmouseover=3DHighlight
e.onmouseout=3DDeselect
s=3De.style;
s.fontFamily=3DsFont
s.fontSize=3D"9pt"
s.paddingLeft=3D2
}
function CreateSeparator( node )
{
var sObj=3DCreateItem( node )
SetCMBorder(sObj,"menu","menu")
var s=3DsObj.style
s.borderTopColor=3D"threedshadow"
s.borderBottomColor=3D"threedhighlight"
s.height=3D1
s.fontSize=3D"0px"
}
function CreateItem( node )
{
var elem=3DPPTSld.document.createElement("DIV")
node.insertBefore( elem )
return elem
}
function SetCMBorder( o,ltClr,rbClr )
{
var s=3Do.style
s.backgroundColor=3D"menu"
s.borderStyle=3D"solid"
s.borderWidth=3D1
s.borderColor=3DltClr+" "+rbClr+" "+rbClr+" "+ltClr
}
------=_NextPart_01C68EDB.C99190A0
Content-Location: file:///C:/978A9931/Church1_files/fullscreen.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"
PowerPoint Presentation
<=
/div>
------=_NextPart_01C68EDB.C99190A0
Content-Location: file:///C:/978A9931/Church1_files/pres.xml
Content-Transfer-Encoding: quoted-printable
Content-Type: text/xml; charset="utf-8"
‹#›
Conference
on Comparative Cognition
Melbourne,
FL, March 24, 2006
The
Predictability of Behavior
Russell
M. Church
Brown
University
T=
itle
Acknowledgments
=
;
Acknowledgments
To current collaborators at Brown:&#=
13;
Paulo Guilhardi
Mika MacInnis
Linlin Yi
Marcelo Caetano
=
For the empirical and theoretical
substance of this talk.
National
Institute of Mental Health Grant
Temporal
Discrimination Learning, 1988 - 2008
Acknowledgments
=
;
Acknowledgments
To previous research collaborators at
Brown:
Seth
Roberts, University of California,
Berkeley
Warren
Meck, Duke University
Kim
Kirkpatrick, University of York
=
;
Jon
Crystal, University of Georgia&=
#13;
Rich
Keen, =
;
Converse College
Jason
Machan, =
;
Lifespan
Steve
Seow, =
;
Microsoft
For
establishing the basis of this talk.
Acknowledgments
To other investigators of interval
timing
Ack=
nowledgments
John Gibbon
Lorraine Allan
Peter Balsam
Don Blough
Randy Gallistel
Peter Killeen
Armando Machado
Ralph Miller
Bill Roberts
Ed Wasserman
And many others, who have
particularly influenced my research.
Outli=
n<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>e
<=
span
style=3D'color:#A50021'>1.The Question: How well can behavior be
predicted?
2. The Method: How to predict behavior
=
<=
span
style=3D'visibility:hidden'>•
3. The Results: <=
/span>Data
from a timing experiment
4. The Model: <=
/span>Packet
theory
5. The Evaluation: A Turing test
6. The Answer: <=
/span>Quite
well
OUTLINE OF THE TALK
Part =
1<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>:<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'> T<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>h=
e=
Q=
u=
es=
ti=
on
Part 1: The
Question
How well can behavior be predicted?
Prediction <=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>i=
s=
im=
po=
ss=
ib=
le
1.Behavior is not
determined.
(Determinism is just a theory, hypoth=
esis,
or assumption)
2. Behavior is partially determined b=
y free
will.
3. Behavior is partially determined b=
y random
factors.
The
Question: How well can behavior be predicted?
Stand=
ard
views: Prediction is impossible
Prediction =
i=
s p=
os=
si=
ble
My View: Prediction is possible
1.&nb=
sp;
Behavior is determined by biology and experience.
(Ramsey, W. (2003). Eliminative materialism. Stanford Encyclopedia of=
Philosophy.
http://plato.stanford.edu/entries/materialism-eliminative)
2. Free
will is an illusion.
(Wegner, D. M. 2002. The illusion of conscious will, MIT Press.)
3.But, the
predictability of behavior does not depend upon the truth of determinism or free will.
(Hoefer, C. 2003. Causal determinism. Stanford
Encyclopedia
of Philosophy,
http://plato.stanford.edu/entries/determinism-causal/)
The
Question: How well can behavior be predicted?
Prediction <=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>i<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>s=
difficult f=
or us
1. Psychology is too young a sci=
ence
to predict behavior.
2. We are not smart enough to
predict behavior.
The
Question: How well can behavior be predicted?
Stan=
dard
view: Prediction is too difficult for us
Prediction =
i=
s=
d=
if=
fic=
ul=
t
1.Behavior is determ=
ined
by the brain,
which is very complex.
•
2. Behavior is determined=
by
the environment, which is complex.
<=
/div>
The
Question: How well can behavior be predicted?
Stand=
ard
view: Prediction is difficult
Prediction =
i=
s<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'> n=
ot=
d=
i=
ff=
ic=
ul=
t
My View: The Problem is not difficult
We can predict the behavio=
r of
a rat in a simple <=
/span>environment
quite well.
The
Question: How well can behavior be predicted?
Skinner’s Problem
Given ingredients: Rat,
box, and stimuli
And a recipe: =
Any
procedure
Predict: Respon=
se of
the rat
Procedure =
;Response
Light Head entry
Noise Lever press
Clicker Lick
Food Explore
Groom
Type =
o<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>f=
“<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>p=
r=
ed=
ic=
t=
io=
n”
The
Question: How well can behavior be predicted?
1.Absolute predictio=
n of
the precise time of each response (Impossible).
2. Prediction relative to a
really bad alternative, e.g., null hypothesis (Too easy).
3. Prediction relative to
the predictions of the behavior from another sample of behavio=
r (Just right--A Turing test).
How =
should
“predictability” be defined?
Part <=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>2<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>:=
The M=
et=
ho=
d
Part 2: The
Method
How to Predict Behavior
![3D"Text](3D"slide0017_image001.gif")
![](3D"slide0017_image003.jpg")
Model
Rat=
The Me=
thod:
How to Predict Behavior
Church
& Guilhardi, 2005
Prima=
ry
Data
3868.538 17 0.000 Houselight on
3895.688 8 27.15 Head-entry
response-1
3896.142 8 27.604 <=
/span>Head-entry
response-2
3896.496 8 27.798 <=
/span>Head-entry
response-3
3896.336 8 27.958 <=
/span>Head-entry
response-4
3896.554 8 28.016 <=
/span>Head-entry
response-5
3896.798 8 28.260 <=
/span>Head-entry
response-6
3896.820 8 28.282 <=
/span>Head-entry
response-7
3897.886 8 29.348 <=
/span>Head-entry
response-8
3898.100 8 29.562 <=
/span>Head-entry
response-9
3898.298 8 29.760 <=
/span>Head-entry
response-10
3898.720 8 30.182 <=
/span>Head-entry
response-11
3898.720 27 30.182 Houselight off
3898.730 19 30.192 Food delivered
Times (=
s)
Guilhardi
& Church, Dynamics of temporal discrimination
(Learning & Behavior, 2005)
The Met=
hod:
How to Predict Behavior
http:/=
/psychonomic.org/archive
Relative
Time
Event
Event
Code
The Me=
thod:
How to predict behavior
Church=
&
Guilhardi, 2005
The Method: How to predict behavior
Simulation:
Explicit
solution:
Given:
A procedure
A model
Some parameters (f)
Find:
The best estimates of the
parameters
Parameter Estimation: Simulation and
Explicit Solution
Part <=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>3<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>:=
The R=
es=
ult=
s
Part 3: The
Results
Data from a Timing Experiment
Multip=
le
cued-interval procedure
The Results: Data from a timing
experiment
Patter=
n on
Averaged Cycles
The Results: Data from a timing
experiment
Patte=
rn on
Individual Cycles
The Results: Data from a timing
experiment
Response Rate
The Results: Data from a timing
experiment
Response Bouts
The Results: Data from a timing
experiment
Summ=
ary
Data
The Results: Data from a timing
experiment
Part <=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>4=
:<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'> T=
h=
e Mo=
del
Part 4: The
Model
=
;
Packet theory
Packet_flow1
The Mo=
del:
Packet theory
Guilh=
ardi,
Yi, & Church
Packet Theory: The Flow Chart
Packet Theory sources
The Mo=
del:
Packet theory
Guilh=
ardi,
Yi, & Church
Packet
Theory: Sources of Ideas
<=
span
style=3D'font-size:83%'>A.Scalar
Timing Theory (Gibbon, Church, & Meck, 1984)
1.
Clock as accumulation
2.
Threshold for comparison of clock and memory
B. Learning
to Time Theory (Machado, 1997)
1.
Linear operator for memory
2.
Perception and memory as vectors
C. Other
1. Two
memories: pattern and strength
2.
Response bouts
3.
Operant rate
Packet_flow2
The Mo=
del:
Packet theory
Packet Theory: The Flow Chart
Guilh=
ardi,
Yi, & Church
Perception
The
Model: Packet theory
Perce=
ption
Memory
The
Model: Packet theory
Memor=
y
Decision
The
Model: Packet theory
Decis=
ion
Response
The
Model: Packet theory
Respon=
se
Average gradients
Average and individual gradients
All
gradients
Average and individual break-run=
Average break-run
Response Rate
The Model: Packet =
theo=
ry
IRT 30 s
IRT 60 s
IRT 120 s
Fit of
Theory to Data
The Model: Packet =
theo=
ry
Part =
5<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>:<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'> A<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>n=
E=
va=
lu=
ati=
on
Part 5: The
Evaluation
A
Turing test
Validity
Good=
ness
of fit (w2)
The
Evaluation: A Turing test
Pack=
et
theory: Evaluation
Observed
data
(Validation)
Observed
data
(Calibration)
Predicted data
.9876
.9879
.9952
Model
Random
Model
Random
Overfitting
Rando=
m
Turing_flow
The
Evaluation: A Turing test
Turing Quote
“I believe that in
about 50 years’ time it will be possible to programme
computers, with a storage capacity of about 109, to make them
play the imitation game so well that an average
interrogator will not have more than 70 p=
ercent
chance of making the right identification after five minutes of
questioning.”
(Turing, 1950, p. 442, red italics
added)
The
Evaluation: A Turing test
The
Evaluation: A Turing test
Church
& Guilhardi, 2005
Part <=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>6<=
span
style=3D'font-size:18%;color:white;mso-color-index:0'>:=
The A=
nswe=
r
Part 6: The
Answer
=
;
Quite well
<=
span
style=3D'mso-special-format:"numbullet3\,1";position:absolute;left:-5.79%'=
>1.The
behavior was predictable
<=
span
style=3D'mso-special-format:"numbullet0\,1";position:absolute;left:-6.13%'=
>a.A
rat
<=
span
style=3D'mso-special-format:"numbullet0\,1";position:absolute;left:-6.13%'=
>b.A
simple environment*
<=
span
style=3D'mso-special-format:"numbullet0\,1";position:absolute;left:-6.13%'=
>c.Three
conditions (FI-30, FI-60, and FI-120)
<=
span
style=3D'mso-special-format:"numbullet0\,1";position:absolute;left:-6.13%'=
>d.Three
types of measures of behavior
<=
span
style=3D'mso-special-format:"numbullet0\,1";position:absolute;left:-6.13%'=
>e.Individual
and mean data
(1) Individual cycles or averaged acr=
oss
cycles
(2) Individual rats or averaged across
rats
Summa=
ry
=
=
1. Reliab=
le
measures of behavior
2. A
plausible process model (Packet theory)
3.
Comparisons of behavioral data with predictions of the theory
(simulated and explicit)
What was needed?
What=
was
Needed for Predictions?
1. Incr=
ease
generality
a. Extend to a sample of all
procedures in specified universe
b. Extend to all summary mea=
sures
in specified universe
c. Extend to all observed
behaviors (e.g., lever press, lick, groom, explore)
2. Impr=
ove
the fit
3. Decr=
ease
complexity
4. Prod=
uctive
uses
a. Secondary data analysis of
archived data
b. Unification of related to=
pics
(conditioning, timing, choice, etc.)
c. Make novel predictions=
3;
Note: =
Any
modifications in the model should be tested for backward compatibility
Goals=
for
the Theory
http=
://www.brown.edu/Research/Timelab/
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