100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
logo-home
KIPA Lectures Summary $6.65   Add to cart

Summary

KIPA Lectures Summary

 23 views  1 purchase
  • Course
  • Institution

Summary of the LECTURES of the KIPA (knowledge intensive process analysis) course

Preview 3 out of 19  pages

  • January 22, 2024
  • 19
  • 2022/2023
  • Summary
avatar-seller
KIPA summary
Lecture 1: Introduction
Knowledge systems

- A Knowledge System is a system that uses knowledge to perform a task
- This knowledge is explicit (communicated as is)
o In contrast to machine learning, knowledge there is implicit (data)

Objectives of knowledge systems

- Knowledge capitalization
o Learning from the past by knowledge retention and re-use
- Project accompaniment
o Learning from present activities by knowledge sharing and exchange
- Innovation
o Moving towards future benefits by leveraging organizational knowledge assets
- Cost reductions
o Achieving cost reductions through first-time right adoption enabled by knowledge
sharing

MYCIN

- Inference engine
o Processing information in KB
o Using information to make predictions and recommendations
o Using information in the KB to determine what questions to ask
- Knowledge base
o Information that MYCIN uses to make decisions
o Does not control the flow of the system

Task types

- Two main task types
o Analytic: use knowledge to inform a user
o Synthetic: use knowledge to create a product or service

Lecture 2: Knowledge Modelling
What is knowledge

- Knowledge is ability or directions to interpret and use information for specific tasks
o Knowledge is complex information
o Rules and general facts

Knowledge vs Information

- Information
o Specific facts
- Knowledge
o General facts and rules

Knowledge base

, - Domain knowledge is stored in a knowledge base
- A knowledge base contains
o Concepts
o Attributes
o Relations
o Rules
- The KB is based on a domain schema

Rules and inference

- Knowledge can instantiate rules
o Analytic task: rules to derive conclusions
o Synthetic task: rules to determine which actions to perform

Rule structure

- A rule models a relation between values of properties
- Structure: property+value RELATION property+value

Problem solving

- Make a decision or a case based on norms

Example analytic:

- decide on a loan for a person
o Case (loan application)
o Decision category (elibigle or not)
o Norms (rules for income)
- Input: case, case-specific norms
- Output: decision

Example synthetic:

- Configure a computer system
o Component (hard disk)
o Parameter (disk capacity)
o Constraint (graphics card X supports only one screen)
o Preference (include GPUs)
o Requirement (price ≤ ¤1000)
- Input: set of requirements
- Output: set of components and parameter values

Lecture 3: Knowledge Acquisition
Knowledge acquisition

Knowledge acquisition steps

- Knowledge identification
o Domain familiarization
o Identify task- and domain-related components
- Knowledge specification
o Task description

, o Domain concepts
o Knowledge Base construction
- Knowledge refinement
o Validate model with simulation or prototype
o Modify knowledge base when needed

Information sources

- Nature of information sources
o Theoretical, well-developed, diffused, . . .
- Diversity of information sources
o Different experts and other sources
o Conflicting sources
o Practical constraints on using sources

Specification

Task templates

- Choose task template based on various aspects
o Output: category, decision, plan
o Input: type of task data and domain data
o System: process, machine, living entity
o Presence of constraints and requirements
- SIMPLE TASKS DO NOT HAVE TASK TEMPLATEs
- COMPLEX TASKS DO HAVE TASK TEMPLATES

Domain schema

- Domain-specific concepts
o Independent of the task
o Not likely to change
- Task-specific elements
o Problem solving rules
o Task concepts




Specification procedure

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

Guaranteed quality through customer reviews

Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.

Quick and easy check-out

Quick and easy check-out

You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.

Focus on what matters

Focus on what matters

Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!

Frequently asked questions

What do I get when I buy this document?

You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.

Satisfaction guarantee: how does it work?

Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.

Who am I buying these notes from?

Stuvia is a marketplace, so you are not buying this document from us, but from seller timb3. Stuvia facilitates payment to the seller.

Will I be stuck with a subscription?

No, you only buy these notes for $6.65. You're not tied to anything after your purchase.

Can Stuvia be trusted?

4.6 stars on Google & Trustpilot (+1000 reviews)

82871 documents were sold in the last 30 days

Founded in 2010, the go-to place to buy study notes for 14 years now

Start selling
$6.65  1x  sold
  • (0)
  Add to cart