active case-based reasoning for lessons delivery systems
DESCRIPTION
Active Case-Based Reasoning for Lessons Delivery Systems. Rosina Weber David W. Aha L. Karl Branting J. Robert Lucas Irma-Becerra Fernandez. Knowledge Management motivation. State-of-the-art KM applications Active Case-Based Reasoning for Lessons Delivery Systems - PowerPoint PPT PresentationTRANSCRIPT
Active Case-Based Active Case-Based Reasoning for Lessons Reasoning for Lessons Delivery SystemsDelivery Systems
Rosina Weber Rosina Weber
David W. Aha David W. Aha
L. Karl Branting L. Karl Branting
J. Robert LucasJ. Robert Lucas
Irma-Becerra FernandezIrma-Becerra Fernandez
Knowledge ManagementKnowledge Managementmotivationmotivation
• State-of-the-art KM applicationsState-of-the-art KM applications• Active Case-Based Reasoning forActive Case-Based Reasoning for
Lessons Delivery SystemsLessons Delivery Systems
• better reuse of their knowledgebetter reuse of their knowledge• organization's learning abilityorganization's learning ability• elicitelicit
Knowledge ManagementKnowledge Managementcontextcontext
• organizational knowledgeorganizational knowledge• learning organizationlearning organization• technologicaltechnological• finding solutions to new and finding solutions to new and
recurrent problemsrecurrent problems• reusing and adapting previous reusing and adapting previous
solutionssolutions• past project experiencespast project experiences
Lessons learnedLessons learned
• Working experiencesWorking experiences• Successes and failuresSuccesses and failures• ValidValid• Applicable Applicable • Generate impact on Generate impact on
organization’s resultsorganization’s results
Lessons learned systemsLessons learned systems
• Exist to support an Exist to support an organizational process.organizational process.
• Are intended to promote Are intended to promote knowledge sharing & knowledge sharing &
leveraging.leveraging.
Which organizations?Which organizations?
http://www.aic.nrl.navy.mil:80/~aha/lessons/http://www.aic.nrl.navy.mil:80/~aha/lessons/Air Force
• Air Combat Command Center for Lessons Learned• Center for Knowledge Sharing Lessons Learned• Automated Lessons Learned Capture and Retrieval System (ALLCARS)
Army• Center for Army Lessons Learned (CALL)• Center for Engineers Lessons Learned (CELL)• Medical Lessons Learned (AMEDD)• US Army Europe - Lessons Learned Operating System
Coast Guard• Lessons Learned and Best Practices
Joint Forces• Joint Center for Lessons Learned (JULLS)
Marine Corps• Marine Corps Lessons Learned System (MCLLS)
Navy• Doctrine Command Lessons Learned System• Combined Automated Lessons Learned (CALL @ NAWCAD)• Naval Facilities Engineering Command Lessons Learned System
Non-Military• Construction Industry Institute (Lessons Learned Wizard)• Decision Systems, Inc. (REASON)• DOE: Lessons Learned Services, SELLS, Project Hanford LL, etc.• NASA Lessons Learned Information System
• International Safety Lessons Learned Information System• NASA-Goddard: RECALL: Reusable Experience with CBR for Automating Lessons Learned)• Canadian Army Lessons Learned Centre• United Nations: UN Lessons Learned in Peacekeeping Operations
Air Force• Air Combat Command Center for Lessons Learned• Center for Knowledge Sharing Lessons Learned• Automated Lessons Learned Capture and Retrieval System (ALLCARS)
Army• Center for Army Lessons Learned (CALL)• Center for Engineers Lessons Learned (CELL)• Medical Lessons Learned (AMEDD)• US Army Europe - Lessons Learned Operating System
Coast Guard• Lessons Learned and Best Practices
Joint Forces• Joint Center for Lessons Learned (JULLS)
Marine Corps• Marine Corps Lessons Learned System (MCLLS)
Navy• Doctrine Command Lessons Learned System• Combined Automated Lessons Learned (CALL @ NAWCAD)• Naval Facilities Engineering Command Lessons Learned System
Non-Military• Construction Industry Institute (Lessons Learned Wizard)• Decision Systems, Inc. (REASON)• DOE: Lessons Learned Services, SELLS, Project Hanford LL, etc.• NASA Lessons Learned Information System
• International Safety Lessons Learned Information System• NASA-Goddard: RECALL: Reusable Experience with CBR for Automating Lessons Learned)• Canadian Army Lessons Learned Centre• United Nations: UN Lessons Learned in Peacekeeping Operations
All passive stand-alone
systems
Do LL systems promote knowledge sharing??
Have they been incorporated to the learning organization’s culture??
Do LL systems promote knowledge sharing??
Have they been incorporated to the learning organization’s culture??
Lessons Learned Repository
Lessons Learned Repository
Passive standalone Passive standalone systemssystems
usersusers
Lessons Learned Coordination
Lessons Learned Coordination
LL systems LL systems do not promote knowledge sharingdo not promote knowledge sharing
System Issue:
• they are standalone;
Information Issue:
• Textual representations are not oriented for reuse;
Unrealistic Assumptions Users:
• users know about LL systems, and where to find them;
• users have the time and the skills to search (i.e., learn to use) them;
• users can correctly interpret the lessons and reuse them successfully;
• users are reminded of their possible utility when needed;
System Issue:
• they are standalone;
Information Issue:
• Textual representations are not oriented for reuse;
Unrealistic Assumptions Users:
• users know about LL systems, and where to find them;
• users have the time and the skills to search (i.e., learn to use) them;
• users can correctly interpret the lessons and reuse them successfully;
• users are reminded of their possible utility when needed;
Reasons:
Knowledge ManagementKnowledge Managementcontextcontext
Most KM tasks are performed in the context of a Most KM tasks are performed in the context of a well-defined (e.g., business) process, and any well-defined (e.g., business) process, and any techniques designed to support KM must be techniques designed to support KM must be
embedded in it.embedded in it.
Most KM tasks are performed in the context of a Most KM tasks are performed in the context of a well-defined (e.g., business) process, and any well-defined (e.g., business) process, and any techniques designed to support KM must be techniques designed to support KM must be
embedded in it.embedded in it.
Knowledge is useful during decision-making.
Knowledge is useful during decision-making.
Embed lessons learned in
decision-support systems.
Embed lessons learned in
decision-support systems.
+
=
• An Active An Active LessonsLessons Delivery System Delivery System
• not standalone;
• a lessons delivery agent is embedded in a decision support system;• user is within the decision-making environment (i.e., managing tasks);
• not standalone;
• a lessons delivery agent is embedded in a decision support system;• user is within the decision-making environment (i.e., managing tasks);
• when the user changes world state conditions, the agent checks if there are lessons that apply and does one of:
a) a lesson applies to the current decision
then that lesson is shown to the user immediately;
b) a lesson applies to a decision other than the current decision
then that lesson is highlighted without interrupting the user.
• when the user changes world state conditions, the agent checks if there are lessons that apply and does one of:
a) a lesson applies to the current decision
then that lesson is shown to the user immediately;
b) a lesson applies to a decision other than the current decision
then that lesson is highlighted without interrupting the user.
Implications of Active Lessons Delivery
• user doesn’t need to know the agent exists;
• user doesn’t need to learn to use it, it is active;
• no additional time is required for its use;
• lessons and suggestions are stated clearly;
• suggestions are related to the current decision;
• user is told about the lesson only if it is useful.
• user doesn’t need to know the agent exists;
• user doesn’t need to learn to use it, it is active;
• no additional time is required for its use;
• lessons and suggestions are stated clearly;
• suggestions are related to the current decision;
• user is told about the lesson only if it is useful.
Our Solution: Our Solution: ActiveActive Lessons Delivery Lessons Delivery in HICAPin HICAP
The lessons learned processThe lessons learned process
• starts when a decision/task is about to be made;
• world state conditions match an applicable lesson;
• the applicable lesson contributes knowledge to
perform the task/make a decision;
• the process is only completed when the lesson is learned,
i.e., knowledge is reused and a process has been changed.
• starts when a decision/task is about to be made;
• world state conditions match an applicable lesson;
• the applicable lesson contributes knowledge to
perform the task/make a decision;
• the process is only completed when the lesson is learned,
i.e., knowledge is reused and a process has been changed.
The system that captures this process
promotes knowledge sharing.
The system that captures this process
promotes knowledge sharing.
1. Review: lessons learned systems2. Active Lessons Delivery: Design, implementation3. Example in HICAP4. Lesson representation5. Evaluation: effect in plans6. Lesson elicitation7. Evaluation of overall project
1. Review: lessons learned systems2. Active Lessons Delivery: Design, implementation3. Example in HICAP4. Lesson representation5. Evaluation: effect in plans6. Lesson elicitation7. Evaluation of overall project
DirectionsDirections
Knowledge ManagementKnowledge Managementcontextcontext