I-X Technology Applications to Collaborative Emergency Response Collaborative Sensemaking, Planning and Execution via sharing of issues, activity options, constraints and annotations Prof. Austin Tate Artificial Intelligence Applications Institute University of Edinburgh I-X Technology Applications to Collaborative Emergency Response Collaborative Sensemaking, Planning and Execution via sharing of issues, activity options, constraints and annotations Prof. Austin Tate Artificial Intelligence Applications Institute University of Edinburgh

2 Examples of AIAI’s Collaborative Emergency Response Research  : Coalition NEO – Non-combatant Evacuation Operations  : SAR – RAF Search and Rescue Coordination Centre (Pitreavie, UK)  : CoAX – Coalition Agents eXperiment (4 countries, 30 organisations)  : CoSAR-TS – Coalition Search and Rescue Task Support  : CoAKTinG – Collaborative Advanced Knowledge Technologies for e-Response  : Co-OPR – Collaborative Operations for Personnel Recovery for US JFCOM

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

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5 Object Services and Consulting, Inc.

6 CoABS Grid

7 CoAX Components DARPA CoABS Grid (GITI, ISX) Agent Frameworks KAoS Agents (IHMC, Boeing) NOMADS Mobile Agents (IHMC) EMAA/CAST Agents (LM-ATL) GMAS (Dartmouth, IHMC, LM-ATL) D’Agents (Dartmouth) eGents (OBJS) Agent Grid Services Task, Process and Event Management (AIAI) Domain Management Services (IHMC, Boeing) Asynchronous Wireless Connectivity (OBJS) Plan Deconfliction (Michigan) Military Systems CAMPS (AFRL,GITI, BBN) MBP (QinetiQ) Decision Desktop (QinetiQ) Situation Viewer (NRL) … Agents on the Grid AODB Agent (LM-ATL) Observer Agents (Dartmouth) eGents Agents (OBJS) Malicious Agents (IHMC) Web Weather Agent (USC/ISI) Information Agents (BBN) …

8 CoAX Technology Contributions AIAI's I-X Task, Process and Event Panel Technology BBN Technologies MPS - Mixed-Initiative Planning and Interaction Agents, Dynamic Agent Information Coordination Protocols, Airlift Mission Planning System Agent. CMU's Retsina Grid Agent Communications Visualisation and DAML-S Matchmaker. See here for more details. DSTO's Future Operations Centre Analysis Laboratory (FOCAL) and Logistics Planning using the ATTITUDE multi-agent architecture. Dartmouth College's Field-observation System and Mobile Agents for Medical Monitoring GITI/ISX CoABS Program Grid Infrastructure Lockheed Martin ATL's EMAA mobile agent technology, CAST information management agents, and I2AT agent development toolkit Michigan's Multilevel Coordination Agent MIT's Robustness Service NRL's Intelligent Agents for GCCS-M OBJS's eGents Agents and AgentGram QinetiQ's Decision Desktop and Master Battle Planner Stanford's Market Mechanisms Technology UMD's IMPACT agents for reasoning with probabilistic temporal information UTexas at Austin's Sensible Agent technology - Trust Evaluation and Organization Adaptation USC/ISI's Ariadne Project UWF/IHMC and Boeing's KAoS Technology UWF/IHMC NOMADS Technology

9 Cape Vincent Cape Amstado Caca Kaso Lagoon Amisa Jacal Pra Ankobra Tana Ofin Afram Daka Black Caca Kapowa White Caca Mawli LAKE CACA W E N S Red Sea            EASTERN REGION Zingato SIKASSO COSTA DEL MARIA LAKI BANDAR UGWULU UPPER REGION WESTERN REGION CACA REGION NORTHERN REGION CACA REGION ASHANTI REGION CENTRAL REGION BANDAR REGION AGADEZ GAO Kwanabouri Gambaga 268 Masembi Gambaga Escarpment Higgville Libar Zatu To Cunmege To Tifillo Dinga Anala Akwapim-Gao Range Kwahu Plateau To Pample To Segumbo Kamongo Jinja Brongo Laval Biloo Sagiba Bave Gamba Kolla Antok Grandville Hakkali To Cecil Dado Minga Kaso Nanga Caca Dam Esuko Blackman Laponga Zaribe Bonrope Tonka 775 Atewa Ranga Saltpond Achobo Adaido Diplombo Elmina Wonka Deanville Sonara Sandosta Komenda Gonobo Grandvache Polia Jamestown Slabo Donga Anguiba Kutchi Akimbo Sago- town Wazilla Suthertown Bisa Wampimba Belucar Salisbury Bisha St Andrews Sellerham Kingtown To Petit Paris To Escallope Lissa Libretto Slafito Langford To Falo Asoba Nedalla Epidurango Aida To Harra Laki Safari Park Caca Gorge Gao forces Agadez Forces BINNI AGADEZ

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11 I-X Task Support Tools Process Panel Domain Editor Activity Editor Messenger I-Space Map Tool I-Plan

12 Coalition Search and Rescue Task Support DARPA DAML Program AIAI & IHMC Artificial Intelligence Applications Institute, University of Edinburgh Institute for Human and Machine Cognition, Pensacola, Florida

13 CoSAR-TS Demo Architecture

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Co-OPR Collaborative Operations for Personnel Recovery Collaborative Sensemaking, Planning and Execution via sharing of issues, activity options, constraints and annotations AIAI, University of Edinburgh Collaborative Operations for Personnel Recovery Collaborative Sensemaking, Planning and Execution via sharing of issues, activity options, constraints and annotations AIAI, University of Edinburgh

17  Links  Links between informal human-oriented outline planning and more structured semi-automated detailed planning  Outer level  Outer level: human relatable and presentable objective statements, sensemaking, advice, multiple options, argumentation and outline plans  Inner level  Inner level: detailed planners, search engines, constraint solvers, analyzers and simulators act in an understandable and controllable way to provide feasibility checks, detailed constraints and guidance  Sharing  Sharing of issues, activity options, constraints and annotations between humans and systems operating at various levels  Context  Context and current environment sensitivity Co-OPR - Illustrating a More Collaborative Planning Framework

18 I-X Multi-Agency Emergency Response Planning, Execution, and Task-Oriented Communications Collaboration and Communication Command Centre Central Authorities Isolated Personnel Emergency Responders

19 Forthcoming Collaborative Emergency Response Research  : FireGrid Emergency Response in Large Scale Fires in the Built Environment  : OpenKnowledge Semantic Web Technologies for Emergency Response – such and in Forest Fires