1. International Technology Alliance in Network & Information Sciences Annual Fall Meeting Sept 2015, Maryland, USA Distributed Coalition Information Processing for Decision Making Technical Area 6 (TA6) Alun Preece, Cardiff University TA6 Academic Technical Area Lead

2. 2 TA6: Distributed Coalition Information Processing for Decision Making Aim : To develop fundamental underpinnings for a 2-way end-to-end socio-technical chain reaching from “data to decision” (and back), helping users to resolve complex problems. Supporting effective understanding and decision-making across the coalition environment. COALITION NEEDS  improved human-machine team working including information representation, problem-solving and reasoning techniques  better support for collaborative intelligence analysis in the coalition context  Scientifically grounded understanding of the cognitive impacts of different socio-technical configurations Leadership  Gavin Pearson  Dstl  Tien Pham  ARL  Dave Braines  IBM UK  Alun Preece  Cardiff

3. Dstl Peter Leach ARL Lance Kaplan, Scott Mastin, Paul Sullivan UCLA Mani Srivastava ARL Jon Bakdash, Erin Zaroukian Dstl Gavin Pearson Interdisciplinary project teams Cognitive science Hybrid networks Sensor networks Artificial intelligence Computational linguistics Social Computing PSU Tom La Porta, Nan Hu Boeing Ping Xue CMU Katia Sycara Cardiff Alun Preece, Christos Parizas, Will Webberley IBM-UK David Mott, Dave Braines, Paul Stone Southampton Paul Smart, Darren Richardson Human-Information Interaction David Mott, IBM UK Human-Information Interaction David Mott, IBM UK P4 UCLA Mani Srivastava, Wentao Ouyang EADS Gavin Powell Cambridge Ann Copestake Dstl Peter Leach UCLA Mani Srivastava, Moustafa Alzantot IBM US IBM-US Supriyo Chakraborty, Geeth de Mel CMU Katia Sycara, Yuqing Tang Dstl Simon Bray Collective Sensemaking Under Uncertainty Mani Srivastava, UCLA Collective Sensemaking Under Uncertainty Mani Srivastava, UCLA Honeywell Tim Dropps, John Allen P6 Note: Not all collaborating researchers are shown here. In some cases team members are listed once rather than in multiple projects. Elements of Project 5 have been continued in P1 & P4 Distributed Coalition Services P5 Aberdeen Tim Norman, Nir Oren, Jeff Pan, Federico Cerutti, Jhonatan Garcia, Alice Toniolo IBM UK Saritha Arunkumar, Paul Stone

4. P5: Summary of changes 4  Project 5 (“Distributed Coalition Services”)  Not continued as a distinct project in FPP  Some key parts of the research continue:  Project 1 Task 1: To build stronger links with TA5 and further develop the common interest in Network Tomography.  Project 4 Task 3: Taking the Policy Negotiation research closer to non- technical end users through the planned CE/Moira experimentation plans.

5. P4: Human-Information Interaction 5 Aim : Understand the human aspects of information and network services. Gain insight into the next generation socio- technical system through experiments and simulations.  To understand the coalition socio- technical environment and the human and technical factors that affect it  Advanced machine processing capabilities for information extraction, reasoning and problem solving  Reduce cognitive burden through more efficient communication and information exchange  Perform experiments and simulations for insight into cognitive behaviour in a socio-technical coalition context.  Combine deep linguistic processing for information extraction with rich reasoning capabilities for dynamic collaborative problem solving  Continue human experiments with conversational interaction, incorporating uncertainty in the context of crowd-sourcing Coalition Needs Technical Objectives

6. P4: FPP Research Agenda Key activities include:  Develop further cognitive social simulations; focusing on issues with uncertain and conflicted information  Further research into the requirements for complex “forensic” reasoning in the CE environment including consideration of MARF and CI-Spaces/SDL in this context  Focus the coverage of the CE mediated information extraction task on the issues involved in cross-coalition communication  Through experiments produce robust data and publications to test the hypothesis that CNL communication between human and machine agents can increase effectiveness 6 Across P4 we are focused on consolidating and delivering the results for this final phase of research. Through experimentation, publication and demonstration at the Capstone events.

7. P4: AFM Long Papers & Demos P4.1 Cognitive and Probabilistic Models of Group Decision Making Yuqing Tang, Christian Lebiere, Katia Sycara, Don Morrison, Paul Smart, and Paul Stone [Weds session 1] P4.2 Studies in the Human Use of Controlled English David Mott and Erin Zaroukian [Weds session 3] P4.3 Conversational Sensemaking Alun Preece, Dave Braines, Will Webberley, Tom La Porta, Nan Hu, Robin Wentao Ouyang, and Mani Strivastava [Weds session 1] Demos A Forensic Reasoning Agent using CE for problem solving [P4.2] Controlled English to support real-time business insight [P4.3/Transition] Moira & CISpaces to Support Intelligence Analysis [P4.3 & P6.3]

8. P6: Collective Sensemaking Under Uncertainty 8  To analyse and share intelligence across a coalition for situational awareness in uncertain environments  Support decision-making with complex and uncertain data from heterogeneous sources  Understand the implications of varying trust on information sharing approaches  Build on the unified shared emphasis on uncertainty, and draw the approaches together  Understand the risk/value trade-off when sharing quantitative and semantic information  Focus on the dynamic and unexpected aspects of problem solving for the coalition user at the edge of the network Coalition Needs Technical Objectives Aim : To understand, reason about, and manage uncertainties that occur in the end- to-end collective sensemaking process in a coalition setting.

9. 9 P6: FPP Research Agenda Key activities include:  Richer obfuscation techniques for handling potential data correlation  Identify computationally efficient approaches to inference management with varying trust  A unified framework for controlling risk/utility trade-off when sharing information in a coalition team  Formal structures for reasoning about inferences and information policies, enabling a model-based approach to better understand threats like information correlation  Demonstration and experimentation through the CI-Spaces environment and the underlying scenario Refinement of Hypotheses P6 brings together a wide range of interrelated activities and attempts to unify them both in terms of the underlying theories and approaches, as well as through the common CI-Spaces environment.

10. P6: Long Papers & Demos P6.1 Balancing Risk and Value Through an Ensemble of Obfuscators Federico Cerutti, Supriyo Chakraborty, Saritha Arunkumar, Timothy Norman, Nir Oren, Lance Kaplan, and Mani Srivastava [Weds session 3] P6.2 Making Sense from Uncertain Information in Support of Coalition Decision Making Yuqing Tang, Jhonatan Garcia,Federico Cerutti, Katia Sycara, Nir Oren, Jeff Pan, Geeth R De Mel, and Achille Fokoue [Weds session 1] P6.3 Supporting reasoning with different types of evidence in intelligence analysis Alice Toniolo, Robin Wentao Ouyang, Timothy Dropps, Nir Oren, Timothy Norman, Mani Srivastava, John Allen, Paul Sullivan, A. Etuk, and Federico Cerutti [Weds session 3] Demos Querying subjective knowledge bases for linchpin analysis [P6.2] Moira & CISpaces to Support Intelligence Analysis [P6.3 & P4.3]

11. FPP Collaboration  Southampton and CMU continue the extension of the ACT-R CSSC framework, adding integration of uncertainty processing  Cardiff, IBM UK and UCLA plan to run a series of human experiments to test conversational interaction  IBM UK, Boeing, and Cambridge will be investigating the potential for mediated transformation between linguistic semantics and domain semantics  Southampton, EADS and IBM UK will develop human experiments investigating problem solving with the ELICIT framework  IBM US, Cardiff and IBM UK will undertake integration of the policy negotiation research into the human-machine conversational environment  UCLA and IBM US will investigate model driven obfuscation  Aberdeen, Honeywell, IBM UK, Cardiff and IBM US will use the CI-Spaces component to integrate various key research components, including: MARF, SDL, Moira, Inference Firewall etc  CMU, Aberdeen and IBM UK in the linking of non-monotonic reasoning techniques from CE, MARF and ABA (Assumption Based Framework)  All – working towards the TA6 contributions to the Capstone demonstration 11