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Trivikram Immaneni and Michael T. Cox Computer Science and Engineering Department Wright State University Dayton, OH 45435 {timmanen,mcox}@cs.wright.edu http://www.cs.wright.edu/~mcox/gtrans/.

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Trivikram Immaneni and Michael T. Cox

Computer Science and Engineering Department

Wright State University

Dayton, OH 45435

{timmanen,mcox}@cs.wright.edu

http://www.cs.wright.edu/~mcox/gtrans/

GTrans: An Application for Managing Mixed-Initiative Collaborative Planning during Emergency Response Situations


Problem
Problem

  • Resource constraints often prevent perfect plans from being assembled

  • Users can either shift resources or shift goals

  • In information saturated scenarios what is the view presented to the user

  • Selective Filtering – present only “relevant” details


Gtrans g oal trans formation
GTrans – Goal Transformation

  • GTrans – A Mixed-Initiative Planning System

  • “Planning as Goal Manipulation” Metaphor instead of “Search” metaphor

Problem

PRODIGY/AGENT

Plan

Constraints

Domain File

Single User / Single Planner


Collaborative planning
Collaborative Planning

  • Support of collaborative mixed – initiative planning among multiple users

  • Initial Approach – Present a single unified view of a planning scenario, associated resources and shared goals


Gtrans modes of operation
GTrans Modes of Operation

  • Separate Planning Mode

    • Separate, stand alone planning without access to other

      users’ information

  • Info-Sharing Mode

    • User is aware of the problems on which the other users

      in the system are working

  • Joint Planning Mode

    - Multiple users can collaborate to solve a problem


Architecture

Problem

PRODIGY/AGENT

Agent 1

Plan

Domain File

Joint Planning mode

Constraints

Problem

PRODIGY/AGENT

Server

Plan

Agent 2

Domain File

Constraints

Separate Planning mode


Design of the emergency response domain
Design of the Emergency Response Domain

  • To put out a fire

    - Need a security vehicle to secure the scene of incident

    - Need a fire truck to put out the fire

  • A single fire truck can put out one fire and contain an arbitrary number of fires

  • To manage a chemical spill

    - Need security/ fire personnel to help the Hazmat Team (evacuate the area etc.)

    - Need a Hazmat Team to take care of the spill


Emergency response domain example
Emergency Response Domain Example

Agent 1

Agent 2

  • Agent 1 needs Agent 2’s Sheriff Car

  • Agent 2 needs Agent 1’s Hazmat Team

  • Agent 1 needs to perform Goal Transformation


Emergency response domain example1
Emergency Response Domain Example

Agent 1

Agent 2

  • Agent 1 needs Agent 2’s Sheriff Car

  • Agent 2 needs Agent 1’s Hazmat Team

  • Agent 1 needs to perform Goal Transformation


Issues with the unified approach
Issues with the Unified Approach

  • Details presented may not be relevant

    - may overwhelm the users

    - need a filtering mechanism

  • Lack of “ownership” – Anyone can use any resource

  • User assumes that the resource is available


Shared objects
Shared Objects

  • Supports selective static filtering

  • Server acts as a Repository of resources

  • User can request the server for a resource

  • Only one user can use a resource at a time

  • Server controls the visibility of resources

  • User has to release the resource after use



Future research
Future Research

  • Detecting Goal interactions

    - User 1 wants to secure a site by placing roadblock

    - User 2 wants to drive an ambulance to the site to assist

    the burn victims

    - Use of planning monitors

  • Dynamic filtering

    - View presented to the user must change with the change

    in the scenario

  • Alternative Representation of Goals

    - Not everyone can easily understand

    “(outcome-putout-fires xenia1)”


Conclusion
Conclusion

  • Mixed-initiative planning is well-suited for planning in emergency situations

  • Human user plays an active role in the planning process

  • GTrans helps multiple users to get a better perspective on the situation and provides a framework using which multiple users can negotiate



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