The BCS Foundation Award - Knowledge Based Systems is designed for anyone wishing to gain an understanding of the principles of Knowledge-Based Systems and how they can be used to complement other AI technologies such as Machine Learning.
Knowledge-Based Systems are designed to capture human expertise in order to enable AI applications to make intelligent decisions.
Through completion of this award candidates will have the ability to recognise Knowledge-Based Systems, gain an understanding of how they work, and consider how they can add value to an organisation. This award will also enable candidates to understand the concept of Uncertainty and Fuzzy Logic, and how Knowledge-Based Systems can be used to help organisations to make decisions and act where there is higher level of uncertainty.
1. Introduction To Knowledge-Based Systems
You will be able to:
1.1 Describe how a Knowledge-Based System works and its role within an AI solution
1.2 Explain the difference between knowledge-based intelligence and computational intelligence
1.3 Explain how a Knowledge-Based System complements Machine Learning.
1.4 List examples of Knowledge-Based Systems.
2. Rules
You will be able to:
2.1 Explain the use of rules within a Knowledge-Based System.
2.2 List examples of statements used within rules.
2.3 Explain the difference between forward chaining and backward chaining
2.4 Discuss why you might make use of AI to create a digital ecosystem as a driver or enabler.
3. Case-Based Reasoning
You will be able to:
3.1 Describe the use of case-based reasoning
3.2 List the stages of case-based reasoning.
4. Uncertainty
You will be able to:
4.1 Explain the concept of uncertainty in Knowledge-Based Systems.
4.2 Describe the use of Fuzzy Logic.
5. The Inference Engine
You will be able to:
5.1 Explain the role of the Inference Engine.
5.2 Describe how the inference engine uses rules to derive facts.
5.3 Describe knowledge-based systems in relation to intelligent agents
This award sits within the Machine learning And Other AI Techniques area of the AI Foundation Pathway offering you core knowledge and a defined progression route to a technical career in AI.
You'll learn about:
The BCS Foundation Award - Knowledge Based Systems has been designed for individuals interested in furthering their understanding of the more technical aspects of AI, and how knowledge-based intelligence can be used to compliment more modern AI techniques such as Machine Learning.
Organisations will benefit by:
Individuals will benefit by:
There are no specific entry requirements for this award. However, some professional experience in a business or IT environment may be advantageous.
The following titles are suggested reading for anyone undertaking this award. You should be encouraged to explore other available sources.
Title: Knowledge-Based Systems
Author: Rajendra Akerkar, Priti Sajja
Publisher: Jones & Bartlett Learning, 2010
Publication Date: 30th Aug 2010
ISBN: 0763776475, 9780763776473
Type: 18 Multiple Choice Questions, 1 Scenario Based Question
Duration: 30 Minutes
Supervised: Yes
Open Book: No (no materials can be taken into the examination room)
Passmark: 13/20 (65%)
Delivery: Digital Format Only.
The BCS Foundation Award - Knowledge Based Systems contributes 5 credits towards the:
Other Machine Learning & Other AI Techniques awards in the AI Foundation Pathway include:
You will get to know about knowledge-based systems: what they are; how they work; how they complement machine learning; and how they deal with uncertainty, so you’re able to recognise when and where they add value.
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