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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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Presentation Transcript
slide1
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

slide6
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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