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Intelligent Software Agent Technology . Dr. Thomas E. Potok Collaborative Technologies Group Leader Computer Science and Mathematics Division Oak Ridge National Laboratory Research Team Mark Elmore, Joel Reed, Nagiza Samatova, Jim Treadwell. Oak Ridge National Laboratory .

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intelligent software agent technology

Intelligent Software Agent Technology

Dr. Thomas E. Potok

Collaborative Technologies Group Leader

Computer Science and Mathematics Division

Oak Ridge National Laboratory

Research Team

Mark Elmore, Joel Reed, Nagiza Samatova, Jim Treadwell

oak ridge national laboratory
Oak Ridge National Laboratory
  • Established in 1943 for the World War II Manhattan Project.
  • ORNL today pioneers the development of new energy sources, technologies, and materials and the advancement of knowledge in the biological, chemical, computational, engineering, environmental, physical, and social sciences. 
  • Budget: $870 million, 80% Department of Energy, 20% work for others.
  • 3800 employees, 1500 scientists and engineers
agent technology trend

AGENTS

Internet

Telephone

Face to Face

Agent Technology Trend

Information to Knowledge

“The Semantic Web… will open up the knowledge and workings of humankind to meaningful analysis by software agents, providing a new class of tools by which we can live, work and learn together”

Tim Berners-Lee, James Hendler, Ora Lassila

“The Semantic Web” Scientific American 5/2001

successful projects

Neural Nets for Recovery Boiler Control

Neural Nets for Bankruptcy Prediction

Neural Nets for Spring-back Prediction

Collaborative Design System

Neural Nets for Resistance. Spot Welding

Neural Nets for Material Mix Optimization

Genetic Algorithms for Chemical Synthesis

Knowledge-based Systems - Manufacturing Advisors

Knowledge-based Systems for Constructability

Design and Analysis of Computer Experiments

Knowledge-based Computer Systems Calibration

Successful Projects
  • We have extensive expertise in agent development
  • Began working with agent technologies in 1980s

Scientific Data Management

VIPAR Knowledge Discovery

Supply Chain Management Agent System

Manufacturing Emulation Agent System

Collaborative Management Environment

  • Over 10 successful projects within the last 5 years
  • Collaborations with leading agent experts

1985

1990

1995

2000

collaborative management environment
Collaborative Management Environment

Managing heterogeneous information

Original Document

XML tagged Document

Field level query

Financial Summary

portfolio management environment
Portfolio Management Environment
  • Dr. Ernest Moniz, Under Secretary of Energy, approves
    • Portfolio Management Environment (PME)
    • Based on the ORNL Collaborative Management Environment (CME) project
  • Estimated 5-year implementation cost
    • $17 million total investment
    • Producing approximately $39 million annual productivity gains for DOE
agents in scientific data management

SDM

center

Agents in Scientific Data Management

Probe

Parallel

Agent

Distributed

Clustering

Astrophysics

Climate

Genomic

Simulations

Scientific

Analysis

And

Discovery

HPSS

DOE Labs: Argonne, Berkeley, Livermore, Oak Ridge

Universities: Georgia Tech, NC State, Northwestern, SDSC

3 year $9M Center to manage massive scientific data

what are agents

Client Server Messaging

Behavior

State

What are Agents?

...Software entities that assist people and act on their behalf - IBM

Traditional Software

Agents

Peer to Peer Messaging

Reactive

Model

Knowledge

Model

Social

Model

what are agents9

Client Server Messaging

Behavior

State

What are Agents?

...Software entities that assist people and act on their behalf - IBM

Traditional Software

Agents

Peer to Peer Messaging

Reactive

Model

Knowledge

Model

Social

Model

simple agent example
Simple Agent Example

Agent,

find me the book

“War and Peace,”

and I need it

tomorrow

Dedicated

Agents

Amazon

2 Days

$18.50

Barnes and

Nobel

1 Day

$21.75

B. Dalton

1 Day

$20.25

Does the

agent understand

buying books?

Form a plan

to buy the

book

simple agent example11
Simple Agent Example

Agent,

find me the book

“War and Peace,”

and I need it

tomorrow

Dedicated

Agents

Amazon

2 Days

$18.50

Barnes and

Nobel

1 Day

$21.75

B. Dalton

1 Day

$20.25

Agent

Communities

Library

1 Day

Free

Does the

agent understand

buying books?

Form a plan

to buy the

book

eBay

1 Day

$12.50

Execute the

plan

On-Line

www.online-literature.com

Now

Free

uspacom command virtual information center
USPACOM Command Virtual Information Center
  • Only 10% of available newspapers scanned
  • Entirely manual operation

Manually gather

Information from

20–30 newspapers

Manually Organize

Information

Manually Analyze

And Summarize

Information

Inside China

CINC Summary

Russia Today

Summary

Jakarta Post

Analysts

Unorganized Newspaper

Articles

new intelligent agent approach

CINC Summary

New Intelligent Agent Approach
  • Capable of organizing 10,000 article per day
  • Requires only a desktop computer

Automatically Gather,

Organize, andSummarize

Thousands of articles

Manually Analyze

And Summarize

Information

Inside China

Russia Today

Jakarta Post

Summary

Analysts

Article

Retrieval

Agents

Organize and

summarize

Articles

vipar architecture overview
VIPAR Architecture Overview

Information

Agents

Whiteboard Agent

Text Analysis

Agent

Internet

Information

Agents

Database

Cluster

Agent

Information

Agents

Agent

Communities

Agent

Communities

Multi-agent ORMAC Framework

RDF Ontologies

Java

Java RMI

FIPA ACL

clustering a simple example

D1

D2

D3

Clustering: A Simple Example

1. Original and Parsed Documents

2. Terms Dictionary

3. Vector Space Model

4. Document Similarity

5. Euclidean Distance

7. Phylips tree representation

6. Agglomerative Hierarchical Clustering

8

1

2

3

4

6

7

vipar nuclear weapons search 9 21 00
VIPAR “Nuclear Weapons” Search - 9/21/00

How are these articles organized?

  • Wen Ho Lee Spends First Day Savoring Home Delights
  • Lee Case Points up Scientists' Attitude on Security
  • India and Pakistan: Troubled relations
  • U.S. China Trade Vote Milestone on Rocky Road
  • Troops die in Kashmir clashes
  • Clinton Concerned Over Lee Case - Reno On Defensive
  • IAEA Supports Putin Nuclear Power Initiative
  • China Rejects Moves to Tighten Regulation of Nuclear Materials
  • Clinton Calls For Review Of Lee Secrets Case
  • Asian-Americans Demand White House Action on Lee
manual organization business as usual
Manual Organization“Business as Usual”
  • Wen Ho Lee
      • Wen Ho Lee Spends First Day Savoring Home Delights
      • Clinton Calls For Review Of Lee Secrets Case
      • Clinton Concerned Over Lee Case - Reno On Defensive
      • Asian-Americans Demand White House Action on Lee
      • Lee Case Points up Scientists' Attitude on Security
  • India and Pakistan
      • India and Pakistan: Troubled relations
      • Troops die in Kashmir clashes
  • IAEA Meeting
      • IAEA Supports Putin Nuclear Power Initiative
      • China Rejects Moves to Tighten Regulation of Nuclear Materials
  • U.S. China Trade
      • U.S. China Trade Vote Milestone on Rocky Road
vipar automatic organization same as manual
VIPAR Automatic OrganizationSame as manual

3

2

  • Wen Ho Lee
    • Wen Ho Lee Spends First Day Savoring Home Delights
    • Clinton Calls For Review Of Lee Secrets Case
    • Clinton Concerned Over Lee Case - Reno On Defensive
    • Asian-Americans Demand White House Action on Lee
    • Lee Case Points up Scientists' Attitude on Security
  • India and Pakistan
    • India and Pakistan: Troubled relations
    • Troops die in Kashmir clashes
  • IAEA Meeting
    • IAEA Supports Putin Nuclear Power Initiative
    • China Rejects Moves to Tighten Regulation of Nuclear Materials
  • U.S. China Trade
    • U.S. China Trade Vote Milestone on Rocky Road

4

1

Wen Ho Lee

5

US China Trade

India/Pakistan

6

IAEA Meeting

10

7

9

8

endorsements
Endorsements
  • US Pacific Command’s CINC Admiral Blair
    • “A tremendously successful project”
    • “Software agents … lead to substantially improved analytical products.”
  • Science and Technology Advisor
    • “a grand slam home run!”
    • “first time we've seen information discovery and knowledge management software working at HQ USCINCPAC operationally.”
enhanced vipar performance
Enhanced VIPAR Performance
  • The Phylips Tree representation of the clustering of 1015 articles
  • Required almost 360 second (6 minutes) and 241 MB of memory to compute
battelle funded vipar upgrades
Battelle Funded VIPAR Upgrades
  • Memory
    • Evaluated caching of document title and collection
    • Optimized internal data structures
    • Experimented with clustering partial articles.
    • Applied Porter’s Stemming Algorithm
  • Clustering Performance
    • Clustering algorithm “Clusters in place”
    • Hybrid clustering approach to large article sets
result
Result
  • The Phylips Tree representation of the clustering of 9461 articles
  • Required 2.5 minutes (137 seconds) and 495 MB of memory to compute
summary
Summary
  • Intelligent agents are a significant future technology direction
  • We have a significant progression of deployed agent systems and research to our credit
  • We have ringing endorsements regarding the success of our systems and research
  • We look forward to the next step…
contact information
Contact Information

Tom Potok

PotokTE@ornl.gov

865-574-0834

Mark Elmore

ElmoreMT@ornl.gov

865-241-6372

Jim Treadwell

JZT@ornl.gov

865-574-3350