Chapter 11

Front 1

Tacit knowledge

Back 1

Expertise and experience of organizational members that has not been formally documented

Front 2

Explicit knowledge

Back 2

Knowledge that has been documented

Front 3

Organizational learning

Back 3

Creation of new standard operating procedures and business processes that reflect an organizations experience.

Front 4

Communities of practice

Back 4

Informal social networks of professionals and employees within and outside the firm who have similar work related activities and interests and share their knowledge.

Front 5

Enterprise-wide knowledge management systems

Back 5

General purpose firm wide systems that collect, store, distribute, and apply digital content and knowledge.

Front 6

Structured knowledge

Back 6

Knowledge in the form of structured documents and reports.

Front 7

Taxonomy

Back 7

Method of classifying things according to a predetermined system.

Front 8

Learning Management System

Back 8

Tools for management delivery, tracking, and assessment of various types of employee learning.

Front 9

Computer aided designs

Back 9

Information system that automates the creation and revision of designs using sophisticated graphics software.

Front 10

3D printing, CNC computer numerical control is also known as subtractive manufacturing.

Back 10

Uses machines to make solid objects, layer by layer, from specification in a digital file. also known as additive manufacturing.

Front 11

Virtual reality systems

Back 11

Interactive graphics software and hardware that create computer-generated simulations that provide sensations that emulate real-world activities.

Front 12

Augmented reality

Back 12

A technology for enhancing visualization, Provides a live direct or indirect view of a physical real-world environment whose elements are augmented by virtual computer-generated imagery.

Front 13

Experts systems model human knowledge as a set of rules that collectively are called the knowledge base

Strategy used to search through the knowledge base is called the Inference engine

Forward Chaining, the interference engine begins with the information entered by the user and searches the rule base to arrive at a conclusion.

Backward Chaining, the strategy for searching the rules base starts with a hypothesis and proceeds by asking the use question about selected facts until the hypothesis is either confirmed or disproved.

Back 13

Expert systems

Front 14

case-based reasoning

Back 14

Artificial intelligence technology that represents knowledge as a database of cases and solutions.

Front 15

Fuzzy logic

Back 15

Rule-based artificial intelligence technique that tolerates imprecision by using nonspecific terms called membership functions to solve problems.

Front 16

Machine learning

Back 16

Study of how computer programs can improve their performance without explicit programming.

Front 17

Neutral networks

Back 17

Hardware or software that attempts to emulate the processing patterns of the biological brain.

Front 18

Genetic algorithms

Back 18

Problem-solving methods that promote the evolution of solutions to specified problems using the model of living organisms adapting to their environment

Front 19

Intelligent agents

Back 19

Software programs that uses a built-in or learned knowledge base to carry out specific, repetitive, and predictable tasks for an individual user, business process, or software applications.

Front 20

agent-based modeling

Back 20

Modelling complex phenomena as systems of autonomous agents that follow relatively simple rules for interaction.

Front 21

Hybrid AI systems

Back 21

Integration of multiple AI technologies into a single application to take advantage of the best features of these technologies