COLAB: A Laboratory Environment for Studying Analyst Sensemaking and Collaboration

Abstract : COLAB is a laboratory for studying tools that facilitate collaboration and sensemaking among groups of human analysts as they build interpretations of unfolding situations based on accruing intelligence data. The laboratory has three components. The Hats Simulator provides a challenging problem domain involving thousands to millions of agents engaged in individual and collective behaviors, a small portion of which are terrorist. The second component, the AIID Bayesian blackboard, is an instrumented working environment within which analysts collaborate to build their interpretation of the problem domain. The third component is a web based user interface that integrates the Trellis hypothesis authoring and management tool with a query language to allow human analysts to interact with AIID and each other. Looking to the big picture, COLAB is not merely a laboratory for studying collaboration and shared knowledge creation. COLAB is a tool to explore and develop the analyst working environment of the future, in which analyst tools and methods for collaboration in edge organizations are developed and tested. We present COLAB and its components and outline our plans for the system.

[1]  Jennifer Widom,et al.  Models and issues in data stream systems , 2002, PODS.

[2]  Ramez Elmasri,et al.  Fundamentals of Database Systems , 1989 .

[3]  John D. Lowrance,et al.  LAW: A Workbench for Approximate Pattern Matching in Relational Data , 2003, IAAI.

[4]  P. King,et al.  Simulating terrorist threat with the hats simulator , 2005 .

[5]  Jennifer Widom,et al.  The CQL continuous query language: semantic foundations and query execution , 2006, The VLDB Journal.

[6]  Paul R. Cohen,et al.  Identifying Covert Sub-Networks Through Iterative Node Classification , 2005 .

[7]  Yolanda Gil,et al.  An integrated environment for knowledge acquisition , 2001, IUI '01.

[8]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .

[9]  Yolanda Gil,et al.  User interfaces with semi-formal representations: a study of designing argumentation structures , 2005, IUI '05.

[10]  Farhi Marir,et al.  Case-based reasoning: A review , 1994, The Knowledge Engineering Review.

[11]  Clayton T. Morrison,et al.  The Hats Simulator , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[12]  Jane N. Mosier,et al.  Collaborative virtual workspace , 1997, GROUP.

[13]  Neil Immerman,et al.  A Visual Language for Querying and Updating Graphs , 2002 .

[14]  T. Gelder Argument Mapping with Reason ! Able , 2002 .

[15]  R. Kruse,et al.  Guided Incremental Construction of Belief Networks , 2003 .

[16]  Farhi Marir,et al.  Case-based reasoning: a categorized bibliography , 1994, The Knowledge Engineering Review.

[17]  Mark T. Maybury,et al.  Collaborative Virtual Environments for Analysis and Decision Support , 2001, CACM.

[18]  Raymond E. Levitt,et al.  The virtual design team , 1998, CACM.

[19]  Raymond E. Levitt,et al.  Agent-based modeling of knowledge dynamics , 2004 .

[20]  Yan Jin,et al.  The “virtual design team”: simulating how organization structure and information processing tools affect team performance , 1994 .

[21]  Victor R. Lesser,et al.  The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty , 1980, CSUR.

[22]  MayburyMark Collaborative Virtual Environments for Analysis and Decision Support , 2001 .

[23]  J. McCarthy Situations, Actions, and Causal Laws , 1963 .

[24]  P. Cohen,et al.  Measuring Confidence Intervals in Link Discovery: A Bootstrap Approach , 2004 .

[25]  Clayton T. Morrison,et al.  A Bayesian Blackboard for Information Fusion , 2004 .

[26]  John Domingue,et al.  Visualizing Internetworked Argumentation , 2003, Visualizing Argumentation.

[27]  M E J Newman,et al.  Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  John D. Lowrance,et al.  Capturing analytic thought , 2001, K-CAP '01.

[29]  Yolanda Gil,et al.  TRELLIS: An Interactive Tool for Capturing Information Analysis and Decision Making , 2002, EKAW.

[30]  Jennifer Neville,et al.  Supporting Relational Knowledge Discovery: Lessons in Architecture and Algorithm Design , 2002 .

[31]  Daniel D. Corkill,et al.  Collaborating software: Blackboard and multi-agent systems & the future , 2003 .

[32]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[33]  Richard E. Hayes,et al.  Power to the Edge: Command, Control in the Information Age , 2003 .

[34]  H. Nii Blackboard Systems , 1998 .

[35]  D. Corkill Blackboard Systems , 1991 .

[36]  Victor Lesser,et al.  The Evolution of Blackboard Control Architectures , 1992 .

[37]  Michael J. Prietula,et al.  Computational organization theory , 1994 .

[38]  Foster Provost,et al.  Simple Models and Classification in Networked Data , 2004 .