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CoAX – Coalition Agents eXperiment CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI, AIAI, BBN, CMU, Dartmouth, DSTO, GITI, Lockheed Martin ATL, NRL, Potomac Inst., U.Maryland, Lockheed Martin ATL, NRL, Potomac Inst., U.Maryland, U.Michigan, QinetiQ, UT-Austin, UWF/IHMC U.Michigan, QinetiQ, UT-Austin, UWF/IHMC Support from AFRL, ARL, Boeing, DRDC, DSTL, ISX, MITRE, Support from AFRL, ARL, Boeing, DRDC, DSTL, ISX, MITRE, MIT Sloan, NWDC, OBJS, Schafer, Stanford, TTCP, USC/ISI, USPACOM MIT Sloan, NWDC, OBJS, Schafer, Stanford, TTCP, USC/ISI, USPACOM http://www.aiai.ed.ac.uk/project/coax/ http://www.aiai.ed.ac.uk/project/coax/ DARPA

CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

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DARPA. CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI, Lockheed Martin ATL, NRL, Potomac Inst., U.Maryland, U.Michigan, QinetiQ, UT-Austin, UWF/IHMC Support from AFRL, ARL, Boeing, DRDC, DSTL, ISX, MITRE, - PowerPoint PPT Presentation

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Page 1: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX – Coalition Agents eXperimentCoAX – Coalition Agents eXperiment

AIAI, BBN, CMU, Dartmouth, DSTO, GITI,AIAI, BBN, CMU, Dartmouth, DSTO, GITI,Lockheed Martin ATL, NRL, Potomac Inst., U.Maryland,Lockheed Martin ATL, NRL, Potomac Inst., U.Maryland,

U.Michigan, QinetiQ, UT-Austin, UWF/IHMCU.Michigan, QinetiQ, UT-Austin, UWF/IHMCSupport from AFRL, ARL, Boeing, DRDC, DSTL, ISX, MITRE,Support from AFRL, ARL, Boeing, DRDC, DSTL, ISX, MITRE,

MIT Sloan, NWDC, OBJS, Schafer, Stanford, TTCP, USC/ISI, USPACOMMIT Sloan, NWDC, OBJS, Schafer, Stanford, TTCP, USC/ISI, USPACOM

http://www.aiai.ed.ac.uk/project/coax/http://www.aiai.ed.ac.uk/project/coax/

DARPADARPA

Page 2: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX/Briefing - 2

ContextContext

Increasing military requirements for coalition operationsIncreasing military requirements for coalition operations Belief that agent computational model can support:Belief that agent computational model can support:

Coalition interoperability requirementsCoalition interoperability requirements Dynamic and Decentralized C3IDynamic and Decentralized C3I

International Agent Research ProgrammesInternational Agent Research Programmes US DARPA Control of Agent Based Systems (CoABS)US DARPA Control of Agent Based Systems (CoABS) UK DSTL/QinetiQ Agents ProjectUK DSTL/QinetiQ Agents Project Australian and Canadian Agents and Coalition WorkAustralian and Canadian Agents and Coalition Work TTCP C3I Groups for international involvementTTCP C3I Groups for international involvement

Need for “middleware” such as is provided by CoABS Need for “middleware” such as is provided by CoABS Grid InfrastructureGrid Infrastructure

Page 3: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX/Briefing - 3

Aim of Coalition TIEAim of Coalition TIE To addressTo address unique aspects of coalition operations through the unique aspects of coalition operations through the

development and evaluation of:development and evaluation of: agent domain management servicesagent domain management services agent task, process and event management servicesagent task, process and event management services Specific agent servicesSpecific agent services

Aim will be met through delivery of:Aim will be met through delivery of: Phased technical demonstrations of increasing complexityPhased technical demonstrations of increasing complexity Integration of diverse agent systemsIntegration of diverse agent systems Development of generic Coalition-oriented grid servicesDevelopment of generic Coalition-oriented grid services

Requirements:Requirements: Use of a wide variety of different agent systemsUse of a wide variety of different agent systems Use of existing military (non-agent) applicationsUse of existing military (non-agent) applications

Page 4: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX/Briefing - 4

Demonstration ScheduleDemonstration Schedule 1-month demo at kick-off in February 2000 showing direct connection

between DERA MBP and LM ATL AODB 6-month integration milestone in July 2000 showing initial integration of

selected CoAX components for year 2000 demo CoAX Binni 2000 demo in Fall 2000:

Briefing the CoAX TIE and Binni scenario Showing full integration of selected CoAX components in Binni Telling a relevant “story” about agents for information gathering

CoAX Binni 2001 demo in Fall 2001: Fully integrating all CoAX components in a rich coalition scenario Expanding scope to cover dynamic re-planning

CoAX Binni 2002 demo in Fall 2002: Showing dynamic aspects of coalition organization, domain

management, tasking and event handling Expanding scope to cover dynamic planning, coordination and

execution.

Page 5: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

Geography / BordersGeography / Borders

LAYERS:LAYERS:

ReturnReturn

WaterWater

TransportTransport

NamesNames

SettingSetting

Lat / LongLat / Long

ALLALL

Page 6: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

W E

N

S

GeographyGeography

Binni - All FeaturesBinni - All Features

LAYERS:LAYERS:

ReturnReturn

CapeVincent

CapeAmstado

Cac

a

KasoLagoon

Amisa

Jacal

Pra

Ankobra

Tana

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Black Caca

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White C

aca

Mawli

LAKE CACA

WaterWater

TransportTransport

NamesNames

SettingSetting

Lat / LongLat / Long

KEY Tarmac roads175 Heights (metres) Railways

Brongo Ports Civilian Airfields Tracks

BANDAR Population centres Military airfields Gravel roads

31E31E

36E36E35E35E34E34E33E33E

32E32E

39E39E

38E38E

37E37E

36E36E35E35E34E34E33E33E32E32E31E31E

39E39E38E38E37E37E

17N17N

16N16N

15N15N

20N20N

19N19N

18N18N

17N17N

16N16N

15N15N

19N19N

18N18N

21N21N

EASTERN REGION

AGADEZ

Zingato

SIKASSO

COSTA DELMARIA

LAKI

BANDAR

UGWULU

UPPER REGION

WESTERN REGION

CACA REGION NORTHERN REGION

CACAREGION

ASHANTI REGION

CENTRAL REGION

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GAO

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umbo

KamongoJinja

Brongo

LavalBiloo

Sagiba

BaveGamba

Kolla

AntokGrandville

Hakkali

To Cecil

DadoMinga

Kaso

NangaCaca Dam Esuko

Blackman

Laponga

Zaribe

Bonrope

Tonka

775AtewaRanga

SaltpondAchobo

Adaido

DiplomboElmina

Wonka

Deanville

Sonara

Sandosta

Komenda

Gonobo Grandvache

Polia

Jamestown

Slabo

Donga

Anguiba KutchiAkimbo

Sago-town

Wazilla

Suthertown

Bisa

Wampimba

Belucar

Salisbury

Bisha

St Andrews

Sellerham

Kingtown

To P

etit Paris

To E

scallope

Lissa

Libretto

Slafito

Langford

To

Fal

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Page 7: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX/Briefing - 7

Future PlansFuture Plans

Increasing the ability to work quickly and effectively in non-Increasing the ability to work quickly and effectively in non-episodic cases (e.g., incremental coalition formation)episodic cases (e.g., incremental coalition formation)

Distributing MCA services across multiple agents to Distributing MCA services across multiple agents to improve reliability and scalabilityimprove reliability and scalability

Design and analyze extensions for efficiently discovering Design and analyze extensions for efficiently discovering and exploiting synergistic interactionsand exploiting synergistic interactions

Experiment on increasingly difficult (Coalition) scenariosExperiment on increasingly difficult (Coalition) scenarios Transition: CoAX, STRATCOM?, NASA-JPLTransition: CoAX, STRATCOM?, NASA-JPL

Page 8: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX/Briefing - 8

CoAX Binni 2002 CoAX Binni 2002 DemonstrationDemonstration

Dynamic “come as you are” coalition formation Dynamic creation of ‘virtual coalition organization’ Agents and domains added to coalition structure ‘on-the-fly’ Dynamic coalition tasks and processes

Tailored visualizations / interface agents Tools to improve human / software agent interaction High-level tools usable without specialized training Packaged generic Grid services:

Domain management and DAML-based policy analysis Task, process, and event management

Involvement of more countries and organizations USA – BBN – Mixed initiative agents & dynamic information flow USA – CMU – Agent Organization and Interaction Visualization USA – NRL, UMD, UTexas – Agent Services and Data Visualizations Australia – DSTO – Logistics planning and information analysis

Page 9: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX/Briefing - 9

CoAX Transition ProgramCoAX Transition Program

2000 2001 2002 2003

CoAX Binni

CoAX Air

CoAX Navy? (FBE-J, FBE-K, PC’05)

CoAX International?

CoAX Rescue? (Civilian)

Page 10: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

CoAX/Briefing - 10

Further DetailsFurther Details

http://www.aiai.ed.ac.uk/project/coax/http://www.aiai.ed.ac.uk/project/coax/

Materials for this briefing are at: Materials for this briefing are at: http://www.aiai.ed.ac.uk/project/coax/darpa/http://www.aiai.ed.ac.uk/project/coax/darpa/

Page 11: CoAX – Coalition Agents eXperiment AIAI, BBN, CMU, Dartmouth, DSTO, GITI,

DARPADARPA

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