<I-N-C-A> and the I-Room

Slides:



Advertisements
Similar presentations
1 CoAKTinG – I-X Process Panels I-Space: I-Me, I-Room, I-World I-Tools: I-DE, I-Think, I-Plan, I-AM AIAI, University of Edinburgh
Advertisements

European Research Policy: from coordination and cooperation to integration and the ERA Dr. Maria Nedeva MIoIR, MBS. The University of Manchester EULAKS.
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences Paul Smart, Ali.
Planning in Context Planning in the Context of Domain Modelling, Task Assignment and Execution
Shared Models of Activity To Underpin Small Unit Operations Austin Tate, Jeff Dalton, John Levine & Peter Jarvis Artificial Intelligence Applications Institute.
May decide to negotiate through follow-up enquiries. This experiment demonstrates process and workflow technologies that were implemented based on an open.
Low-Cost Private Schools Knowledge Framework Research methodology template.
Rationale To encourage all students to take a full part in the life of our school, college, workplace or wider community. To provide opportunities to enable.
1 Semantic Grid Services for Video Analysis Gayathri Nadarajan, Yun-Heh Chen-Burger, James Malone Centre for Intelligent Systems and their Applications.
1 Stephen Potter University of Edinburgh Building Collaborative eResearch Environments Virtual Organisations and Collaborative Environments.
I-Room : Integrating Intelligent Agents and Virtual Worlds.
Support for Distributed Collaboration in the Dismounted Incident Collaboration Environment Social Web + Agents + Plans + Virtual Worlds
Research topics Semantic Web - Spring 2007 Computer Engineering Department Sharif University of Technology.
Lecture 3: Shared Workspace and Design Coordination Dr. Xiangyu WANG.
A Semantic Workflow Mechanism to Realise Experimental Goals and Constraints Edoardo Pignotti, Peter Edwards, Alun Preece, Nick Gotts and Gary Polhill School.
GMD German National Research Center for Information Technology Innovation through Research Jörg M. Haake Applying Collaborative Open Hypermedia.
1 Semantic-Based Workflow Composition for Video Processing in the Grid Gayathri Nadarajan, Yun-Heh Chen-Burger, James Malone Centre for Intelligent Systems.
 Cloud computing  Workflow  Workflow lifecycle  Workflow design  Workflow tools : xcp, eucalyptus, open nebula.
Artificial Intelligence Applications Institute Vue – Virtual University of Edinburgh OpenVCE – Virtual Collaboration Environment I-Room – a Virtual Space.
Austin Tate [Ai Austin] AIAI, University of Edinburgh.
CoAKTinG Concepts from Edinburgh Austin Tate, AIAI, 21-Mar-2002 First Ideas… Strong issues, activities/processes, state, event, agents, options, argumentation,
1 Intelligent Systems ISCRAM 2013 Validating Procedural Knowledge in the Open Virtual Collaboration Environment Gerhard Wickler AIAI, University.
COINE Cultural Objects in Networked Environments.
Development of Indicators for Integrated System Validation Leena Norros & Maaria Nuutinen & Paula Savioja VTT Industrial Systems: Work, Organisation and.
HCI in Software Process Material from Authors of Human Computer Interaction Alan Dix, et al.
Fundamentals of Information Systems, Third Edition2 Principles and Learning Objectives Artificial intelligence systems form a broad and diverse set of.
I-Room: a Virtual Space for Intelligent Interaction Low cost, simple setup, mixed-reality meetings spaces and operations centres
The DAME project Professor Jim Austin University of York.
©Ferenc Vajda 1 Semantic Grid Ferenc Vajda Computer and Automation Research Institute Hungarian Academy of Sciences.
Austin Tate [Ai Austin] AIAI, University of Edinburgh.
Semantic Web: The Future Starts Today “Industrial Ontologies” Group InBCT Project, Agora Center, University of Jyväskylä, 29 April 2003.
Agents that Reduce Work and Information Overload and Beyond Intelligent Interfaces Presented by Maulik Oza Department of Information and Computer Science.
Building a Permanent Infrastruture including in e-field operations Real Time Operations.
Human Computer Interaction
MIS 2000 Chapter 15 Knowledge Management. Outline Knowledge Explicit and Tacit Knowledge Knowledge Management Activities Computer-Aided Design/Manufacturing.
Geoinformatics 2006 University of Texas at El Paso Evaluating BDI Agents to Integrate Resources Over Cyberinfrastructure Leonardo Salayandía The University.
___________________________________________________ Intelligent Planning and Collaborative Systems for Emergency Response
1 Centre for Intelligent Systems and their Applications Division of Informatics, University of Edinburgh Draft for AKT July Workshop Jessica Chen-Burger.
Multiagent System Katia P. Sycara 일반대학원 GE 랩 성연식.
16/11/ Semantic Web Services Language Requirements Presenter: Emilia Cimpian
‘Activity in Context’ – Planning to Keep Learners ‘in the Zone’ for Scenario-based Mixed-Initiative Training Austin Tate, MSc in e-Learning Dissertation.
1 Artificial Intelligence Applications Institute Centre for Intelligent Systems and their Applications IJCAI-03 MIIS Panel Communication and Awareness.
1 Artificial Intelligence Applications Institute Centre for Intelligent Systems and their Applications A Shared Model for Mixed-initiative Synthesis Tasks.
___________________________________________________ Informatics MSc Course PLAN – Automated Planning The aim of this course is to provide: a solid grounding.
Jessica Chen-Burger Aberdeen/Edinburgh AKT TIE Distributed Knowledge-based Manipulation and Collaboration Jessica Chen-Burger AIAI, University of Edinburgh.
Building and Measuring Community Empowerment
Creating Collaborative Partnerships
Technologies curriculum
Generating data with enacted methods
I-Room: a Virtual Space for Intelligent Interaction
Making meaningful connections
Virtual Operations Centres for Coalition Operations
Who’s here? Why are we here? What will happen?
AIM Operational Concept
Iterative design and prototyping
HCI in the software process
The design process Software engineering and the design process for interactive systems Standards and guidelines as design rules Usability engineering.
The design process Software engineering and the design process for interactive systems Standards and guidelines as design rules Usability engineering.
Activity in Context – Planning to Keep Learners ‘in the Zone’ for Scenario-based Mixed-Initiative Training Austin Tate MSc in e-Learning.
Foundations of Technology Mr. Brooks
HCI in the software process
I-X Austin Tate, Jeff Dalton, Robert Inder, John Levine,
Workshop Organization Support SAR Environment Schematic
Prof. Austin Tate FREng FRSE FAAI FEurAI FBCS CEng
“This presentation is for informational purposes only and may not be incorporated into a contract or agreement.”
Co-OPR – Compendium and I-X
Human Computer Interaction Lecture 14 HCI in Software Process
Dept. of Computation, UMIST
Knowledge Management via Workflow System in a Distributed Environment
Student mental health agreement - review
Presentation transcript:

<I-N-C-A> and the I-Room Cut down Version of “Train for Success” Talk – 13-May-2010 An intelligent environment which acts as a knowledge aid to support collaborative operations rooms and team meeting or training spaces OpenVCE and CoSAR Projects Open Virtual Collaboration Environment US Army Research Lab HRED USJFCOM/JPRC AIAI, University of Edinburgh Carnegie Mellon University University of Virginia Open University IHMC, University of West Florida Perigean Technologies EADS Innovation/Airbus Industries Glenkier Distilleries Metaforic/Slam Games Austin Tate AIAI, Informatics, University of Edinburgh https://blog.inf.ed.ac.uk/atate/i-room/ Tate, A., Chen-Burger, Y-H., Dalton, J., Potter, S., Richardson, D., Stader, J., Wickler, G., Bankier, I., Walton, C. and Williams, P.G. (2010) I-Room: A Virtual Space for Intelligent Interaction, IEEE Intelligent Systems, Vol. 25, No. 4, pp 62-71, July-August 2010, IEEE Computer Society. I-Room - https://blog.inf.ed.ac.uk/atate/2011/09/15/i-room-a-virtual-space-for-intelligent-interaction/ The development of a task-orientated Virtual Collaboration Center using intelligent systems technology arose through work on the “Helpful Environment” (Tate, 2006), I-X (“Intelligent Technology”) and more specifically through the use of online collaborative planning and task-support systems for search and rescue teams and emergency response (Wickler et al., 2006). The I-Room can be used as a mechanism to deliver intelligent systems support to meetings and collaborating groups. In particular, the I Room is designed to draw on I X Technology (Tate, 2000) which provides intelligent and intelligible (to the human participants) planning aids to participants and, through their “I Space” view of those around them, allows them to interact and collaborate with a number of people, and to utilise a range of manual and automated capabilities in a coherent way. The participants share meaningful information about the processes and products they are working on through a common conceptual model called <I N C A> (Tate, 2003).

I-Room: A Virtual Space for Intelligent Interaction Operations Centres, Brainstorming Spaces, Team Meeting Rooms, Training and Review Areas

An example I-Room as it appears on the VCE region in Second Life and the NewVCE region in the Opensim-based New World Grid (for privately hosted and behind the firewall solutions). 2010

Planning, Evaluation Option Argumentation Briefing and Decision Making Central Meeting Area I-Room arranged as 4 work areas around a central meeting area, specialised to support a range of functions in decsion making, e.g. for operations centres. Using OODA Loop (Observe, Orientate, Decide, Act) basis. Sensing and Situation Analysis Acting, Reacting and Communication

<I-N-C-A> Framework Common conceptual basis for sharing information on processes and process products Shared, intelligible to humans and machines, easily communicated, formal or informal and extendible Set of restrictions on things of interest: I Issues e.g. what to do? How to do it? N Nodes e.g. include activities or product parts C Constraints e.g. state, time, spatial, resource, … A Annotations e.g. rationale, provenance, reports, … Shared collaborative processes to manipulate these: Issue-based sense-making (e.g. gIBIS, 7 issue types) Activity Planning and Execution (e.g. mixed-initiative planning) Constraint Satisfaction (e.g. AI and OR methods, simulation) Note making, rationale capture (QOC), logging, reporting, etc. Maintain state of current status, models and knowledge I-X Process Panels (I-P2) use representation and reasoning together with state to present current, context sensitive, options for action Mixed-initiative collaboration model of “mutually constraining things”

I-P2 aim is a Planning, Workflow and Task Messaging “Catch All” Can take ANY requirement to: Handle an issue Perform an activity Respect a constraint Note an annotation Deals with these via: Manual activity Internal capabilities External capabilities Reroute or delegate to other panels or agents Plan and execute a composite of these capabilities (I-Plan) Receives reports and interprets them to: Understand current status of issues, activities and constraints Understand current world state, especially status of process products Support the modification of the plan Explain or help users control the situation Copes with partial knowledge of processes and organizations

I-Room: Mixed-initiative Collaboration Truly distributed mixed initiative collaboration and task support is the focus of the I-Room, allowing for the following tasks: situation monitoring sense-making analysis and simulation planning option analysis briefing decision making responsive enactment

I-Room: Underlying Concepts for Effective Collaboration Underlying the use of the I-Room for collaboration and its ability to link human participants to a range of computational services and intelligent systems support are the following concepts: A mixed-initiative collaborative model for refining and constraining processes and products; Principled communication based on sharing issues, activities/processes, state, event, agents, options, argumentation, rationale, presence information and reports through the <I-N-C-A> ontology; The use of the <I-N-C-A> ontology also for representing the products that are developed during meetings and through the collaborative process; The use of I-X Technology and its suite of tools to provide task support; The use of issue-based argumentation, through the use of the Questions-Options-Criteria (QOC) methodology and links to sense-making tools; The use of agent presence models as in instant messaging; The use of I-X “I-Space” to support awareness of agent context, status, relationships within an organisational framework, capabilities and authorities; The use of an “I-World” of discovery of relevant agents and services, along with their capabilities, authorities and availability; The use of the “Beliefs-Desires-Intentions” (BDI) model of agents and their relationship to world state, context and other agents. The use of external shared repositories of processes, products, media and other resources. These technologies, methodologies and ontologies will form the platform on which the research can be based.